bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison and Alternative Feasibility of Biofuels with Other Fuels
Authors: Li Yingzi
Published: October 2024

In modern society, with the gradual rise of environmental protection requirements, various industries have paid attention to green environmental protection and sustainable development. Among them, the direction of fuel is particularly important. The renewable, environmental protection and high energy characteristics of biofuel make it a promising alternative fuel. Therefore, the advantages and disadvantages of biofuels compared with other fuels and the feasibility of alternative fuels are major issues that need to be understood. According to the existing research data, compared with other fuels, there are still some problems related to the cost and immature technology of biofuel, and there are also problems in its promotion and application. However, biofuel has excellent environmental protection, low carbon and sustainable characteristics, through policy support and technological development, most of the above problems will be solved, biofuel is still the most promising alternative fuel. Therefore, biofuels will replace other fuels to become the main energy in the future, sorting out the advantages and key development directions of biofuels compared with other fuels, and providing new ideas for fuel replacement and environmental protection.
Exploring the Synergy of Immunotherapy and Conventional Treatments in Cancer Therapy
Authors: Qiu Yixuan
Published: October 2024

Immunotherapy (cancer immunotherapy) is a promising approach to cancer treatment that recognizes and destroys cancer cells by employing immune-related components or by directing the immune system. Between 2017 and 2020, the R&D pipeline for cancer immunotherapies increased by 233%. Immunotherapy can be broadly divided into five broad categories and is suitable for 20 different types of cancer. With the introduction of immune checkpoint inhibitors and CAR-T cell therapies, this approach has revolutionized the way of cancer treatment, even treating some patients with advanced cancers, while not all cancer types respond well to this approach. The effectiveness of immunotherapy as a stand-alone treatment is often constrained by tumor heterogeneity, immune evasion, and resistance mechanisms. To address these issues, immunotherapy is being investigated in combination with other traditional treatment modalities such as radiotherapy, chemotherapy and targeted drugs as a way to improve treatment outcomes. This review explores the rationale behind these combination therapies and discusses the potential of these combined therapies to improve patient survival and quality of life.
Mean Value Theorem and the Inverse Problem
Authors: Ye Zhou
Published: October 2024

The mean value theorem of differentiation is the core theorem of differential calculus. It’s an important tool for studying functions, and a bridge between functions and derivatives. This paper briefly reviews the mean value theorem for differentiation. The Lagrange mean value theorem is the core, Rolle theorem is a special case, and the Cauchy theorem is an extension. It’s the foundation of calculus theory and crucial for function research. The paper introduces the specific contents, proof methods, and applicable examples of these theorems. This paper also discusses their inverse problems with proofs. The mean value theorem has a profound impact on academic development, laying the foundation, promoting analysis, and expanding the research field. The theorem can be applied not only in functional analysis but also in biomathematics. It also nurtures scientific thinking, provides problem-solving ideas, and stimulates innovation. Finally, it’s hoped that its application fields will expand, not just in math but also in other disciplines.
Effects of Intermittent Fasting on Human Metabolism and Evaluation of Its Effectiveness in Weight Loss
Authors: Cheng Yingjia
Published: October 2024

Intermittent Fasting (IF), a dietary modification through time-restricted feeding, has gained significant attention in the past few years owing to its advantages in metabolic health and weight management. Available evidence suggests that IF can improve insulin sensitivity; lower the levels of blood glucose and fat; prevent body fat accumulation; and reduce the risk of obesity-related chronic disease by mitigating oxidative damage and affecting the activity of antioxidant enzymes. However, a number of gaps in knowledge remain regarding IF, especially its long-term safety and the generalisability of IF. This paper discussed the effects of IF on metabolism and body health through the mechanism of high-intensity, nutrient-strong IF. It mentioned that IF led to improved insulin sensitivity, lower blood lipid levels and inhibition of body fat accumulation, and was easier to stick to than daily calorie restriction. Other clinical studies with longer intervals and durations also reported significant effects of IF on weight loss and body health. Long term strict IF is unfavorable for some patients – in particular the elderly and the chronically ill – due to the potential for nutritional and metabolic problems. This study serves as an important reference for the use of IF in health and weight loss management, and offers potential directions for future research. Even though IF showed clear benefits, its safety in the long term and applicability across different populations still need to be validated. Future investigations may look into the long-term effects of IF in different populations, and its potential application in various health conditions.
Epidemiology, Pathogenesis, and Vaccine Development of Acne
Authors: Zong Shuyu
Published: October 2024

Acne is a widespread and chronic inflammatory disease of the pilosebaceous glands affecting millions of people worldwide, particularly among adolescents. The current treatment method is mainly oral and smear medication, combined with a variety of physical and chemical therapy used as adjuvant therapy, alternative therapy or sequelae treatment. However, due to antibiotic resistance and bacteria evolve over time, need a vaccine as a new alternative treatment, in recent years, with the rapid development of molecular biology and immunology, based on specific antigen antibody technology acne vaccine has made significant progress, but there is still no successful development of acne vaccine. This paper analyzes the main four pathogenesis of acne and the current treatment, including oral and daub anti-inflammatory drugs and antibacterial drugs, supplemented by physical and chemical therapy, focus on the development of acne vaccine, present situation, challenges and future trend, hope to further promote the research and development of acne vaccine provide certain theoretical basis and reference value, and provide new ideas and methods for the prevention and treatment of acne. And acne pathogenesis complex and cannot determine the vaccine clinical trial effect these two problems are not solved, pathogenic mechanism involves multiple complex factors, a single vaccine may not have enough protective effect, difficult to completely prevent or cure acne, therefore, the next step need to consider targeting multiple pathogens and virulence factors combination of multivalent vaccine, and need for long-term clinical trials and observation.
The Impact of Financial Innovation on Environmental Protection:Literature Review and Case Study
Authors: Liang Fangyuan
Published: October 2024

This study explores the relationship between financial innovation and environmental protection, focusing on how financial innovation can contribute to sustainable development and ecological conservation. Through a comprehensive literature review, this paper identifies various forms of financial innovation, including green finance, socially responsible investing, and impact investing. These have emerged as significant tools in promoting environmental sustainability. The literature suggests that financial innovation plays a crucial role in directing capital towards environmentally friendly projects and companies, thereby reducing the funding of polluting industries. The implementation of green bonds, green banks, and other financial instruments has been instrumental in channeling investments towards renewable energy, clean technology, and other eco-friendly initiatives. These financial mechanisms not only encourage corporate responsibility but also stimulate innovation in clean technologies by providing necessary funding and risk management solutions.The Case study is presented to exemplify the practical application of financial innovation in environmental protection. The case focuses on the development and impact of a green bond issuance by a major financial institution, highlighting the positive environmental outcomes achieved through the financing of specific sustainable projects. The analysis reveals that such financial products have led to measurable reductions in greenhouse gas emissions and improvements in resource efficiency. By synthesizing theoretical insights and empirical evidence, this research contributes to a deeper understanding of the nuanced interplay between finance and environmental preservation, suggesting that financial innovation can be a powerful ally in the global effort toward ecological conservation and sustainable development.
Using fluorescence, PET, and fMRI to detect the alteration of patterns and activation of specific neurons in the subiculum in response to hippocampus neurogenesis
Authors: Ke Shilei
Published: October 2024

In this paper, the questions started with “What will happen to the brain if AHN(adult hippocampus neurogenesis) increases” and then going further on the question became “How would certain neurons in the hypothalamus and subiculum change if AHN increases”. Therefore, this paper will address this question and propose three experiments and a conclusion. For the experiments, PET and fMRI are used to scan the brain and see the levels of glucose and therefore the activation of neurons. Furthermore, FosTRAP2 with fluoresce allows a better in-depth look at the parts where neurons were active, or in this case, activated due to stress. The three experiments should show more activity/fluorescence in the hypothalamus and subiculum in groups with neurogenesis compared to the control groups with CORT injection. In conclusion, if the results are in accordance with the hypothesis, this allows a better insight into the mechanism and link between anxiety and AHN. This will also mean a correlation with the subiculum, HPA, and AHN.
Design and Implementation of Digital Integrated Circuit Based Frequency Dividers
Authors: Zhang Zirui
Published: October 2024

This research aims to research the basic fractional frequency division. This article first introduces the theory of the dualmode prescaler method, and then use this method to calculate the number of integer frequency divisions and show that how to achieve the target fractional division ratio. after that, Verilog code is used to implement fractional frequency division, and using simulation to show the operation of the divider. The simulation shows that the designed fractional frequency divider can be implemented by evenly inserting different values of integer frequency dividers. However, the experiment in this article may has time error in the output signal, because the accurate 50% duty cycle cannot be achieved. In addition, the frequency division period is not completely uniform. Finally, the challenges and limitations of fractional frequency division technology in theory and practice will be summarized.
Investigating the Potential Impact of LH on the Progression of Alzheimer’s Disease via Microglia Activation and C/EBPβ pathway
Authors: Shi Yuanming , Liu Caixi , Cui Yuanying
Published: October 2024

Background: Alzheimer’s disease (AD) is a neurodegenerative disease that causes irreversible cognitive decline and memory loss. The disproportionate effect of AD on postmenopausal women prompts investigation into the role of hormonal changes in disease pathogenesis. However, previous studies on estrogen replacement therapies have shown inconsistent results. Therefore, further confirmation is needed to ensure the independent effects of luteinizing hormone (LH) and follicle-stimulating hormone (FSH) on AD pathology. Our study will 1) focus on microglial activation pathway 2) focus on the LH-C/EBPβ-AEP pathway and its potential influence on AD progression.Methods: Using cell lines to investigate whether microglial activation is present. HMC3 cells will be treated with LH or control phosphate buffered saline (PBS). Carry out Western Blot (WB) and qPCR to confirm presence of cytokines, which is the product of microglial activation. Using 3xTg-AD mice treated with LH or control PBS. To identify AD progression, immunofluorescent (IF) micrograph will be used to quantify amyloid-beta (Aβ) load. WB and qPCR will be used to identify cytokines. Morris water maze (MWM) will be carried out for cognitive testing. Using an ovariectomized mice model to investigate the LH-C/EBPβ-AEP pathway. Mice will be treated with LH antibodies or control IgG, followed by assessments using IVIS imaging and MWM test to measure spatial memory. IF, WB and qPCR will be used to quantify Aβ and Tau protein levels and gene expression changes. Furthermore, the study will explore the precise relationship between LH and C/EBPβ expression through inhibition experiments targeting AKT and ERK1/2 signaling pathways.Expected results: Our hypothesis is that LH activates microglia, with both pro-inflammatory and anti-inflammatory cytokine released. This change in microglia function suggests LH has an effect on microglia and hence removal of Aβ plaques. Another hypothesis is that LH antibody manages to cross the blood-brain barrier. The cognitive ability will be improved in LH-Ab treated mice with reduced Aβ and Tau protein levels and downregulation of the C/EBPβ–AEP/δ-secretase pathway. Simultaneously, we expect that there will be a positive correlation between LH levels and expression of C/EBPβ-related pathways, suggesting the involvement of AKT and ERK1/2 signaling pathways in AD progression.Conclusion: This study aims to provide evidence for the link between LH activation of the C/EBPβ pathway and AEP production, promoting our understanding of AD pathogenesis. The insights gained may implicate therapeutic strategies targeting LH mechanisms in postmenopausal women at risk of AD.
Charities and cares to disadvantage groups by electronic games
Authors: Ye Yunze
Published: October 2024

Games are widely spread these days, and a lot of games are helping disadvantage groups in many ways. These ways can be divided into four types: disadvantage group theme, charities in other games, cares in other games and care outside screen. Each type has different effect and can most be seen in different kind of games.
Research on the Fit between the Co-Branding Approach and the Content of Advertisements
Authors: Zhang Erxuan
Published: October 2024

The rise of co-branded products has led many brands to collaborate with other brands, intellectual properties (IPs), and celebrities to launch innovative products. Effective publicity is crucial to achieving successful co-branding. Co-branding advertisements have emerged as a key strategy for promoting these products. This study examines the content of co-branded advertisements in the contexts of brand-to-brand and brand-to-IP collaborations. It identifies two primary advertisement content presentation methods: feature type and story type. For brand and IP co-branding, story-type advertisements tend to be more engaging for audiences with diverse interests, as they provide a narrative that resonates on a deeper level. In contrast, for brand-celebrity collaborations, two distinct methods are highlighted: advertisements featuring direct celebrity appearances and those utilizing suspenseful content. Each approach can yield different results, offering brands the flexibility to choose based on their specific objectives. Interviews and surveys conducted in this study reveal that story-driven advertisements are particularly effective for brand-to-brand and brand-to-IP co-branding. Meanwhile, suspenseful advertisements and those featuring celebrities directly can achieve varying outcomes, making them suitable for different campaign goals. By selecting the appropriate advertisement type, brands can maximize the impact of their co-branding efforts, ensuring they reach and engage their target audiences effectively.
The Broad Impact of Contemporary Digital Marketing Strategies on Consumer Behavior
Authors: Ge Yuhan
Published: October 2024

This research aims to explore the extensive impact of contemporary digital marketing strategies on consumer behavior. By analyzing the successful case of Alibaba’s Double Eleven event, it details how multi-channel reach, personalized marketing, and ad content influence consumer behavior. The case analysis reveals that Alibaba effectively increased consumer participation and purchase behavior during the promotional period and the event day through widespread media promotion, diverse interactive activities, and precise personalized recommendations using digital technology. The results demonstrate the significant impact of digital marketing strategies on consumer behavior. However, this research is limited by the recent data used, indicating certain constraints. Challenges such as privacy concerns and data security still need to be addressed. Future research should further explore the varying effects of digital marketing strategies across different cultural backgrounds and emerging technologies.
Security Evaluation of I/Q Offset and CFO Physical Layer Fingerprint identification model in Bluetooth Communication under Attacker Simulation
Authors: Fei Fengting , Lai Zhuohang , Li Changhe , He Jiayue
Published: October 2024

In this paper, by considering the presence of attackers, a model is established to demonstrate the process of identifying the target device by the receiver through physical fingerprinting in Bluetooth communication. Based on this model, the security and robustness of the physical layer device identification techniques using I/Q offset, as well as the combination of I/Q offset and CFO, will be evaluated. This paper will help users recognize the potential impact of attackers on the security of Bluetooth communication and understand how to enhance the security and accuracy of device identification.
Engagement Matters: The Romantic Relationship between Female Users and the Generative AI
Authors: Li Yunshan
Published: October 2024

The rapid development of generative AI is changing people’s lives and brought a series of new social issues and concerns. One newly-emerged phenomenon was some generative AI users, especially female users, started to engage in an in-depth, romantic relationship with generative AI. Faced with the new relationship, this ethnographic research aims to investigate the motivation, behaviours, and perspectives of female users so as to provide a comprehensive picture of this group. This digital ethnographic study adopts the methods of semi-structured interviews and text analysis of posts by participants on Xiaohongshu. This study has shown a debate among human-AI romantic relationship female practitioners about whether the generative AI is conscious or is just a machine. However, all participants tend to consider the generative AI to have a humane feature and treat it in a human-like way like in a real-life relationship and gained value which is different from real-life relationships. Finally, in a modernization theory perspective, the authors point out that females’ establishment of human-computer intimacy is driven by individualism and rationalism. By focusing on the motivations and experiences of female users, this study fills a gap in research on the romantic relationship between humans and AI. While responding to public concerns about the potential risks AI may pose to society, this study also provides a reference for future research and policymaking in this field.
Advances in CRISPR-Cas9 Technology for Tumor Therapy
Authors: Xu Haochuan
Published: October 2024

Genome editing technology is an emerging toolbox that can specifically target genes. At present, the existing gene editing technologies include ZFN, TALEN, and CRISPR system editing technology with clusters of regularly spaced short palindromic repeats. However, ZFN and TALEN are no longer the preferred tools for gene editing due to some of their problems, and their complex protein design, high cost, and high difficulty are the main reasons that limit their use. The CRISPR system, on the other hand, is able to achieve specific binding by base complementary pairing of sgRNA to the target sequence. Traditional cancer treatment methods have limited efficacy and high recurrence rates, and the disease can be fundamentally treated by inactivating oncogenes or activating tumor suppressor genes through gene editing technology and then changing downstream signaling pathways for cancer treatment. With CRISPR-Cas9 technology, it is possible to have gene knockouts, insertions, and mutations. Here, we will investigate and explore the feasibility of the CRISPR system for tumor treatment, including the following three topics: oncogene knockout, augmentation of tumor suppressor gene expression, and enhancement of engineered T cell viability for effective tumor Through these methods, the CRISPR system is of great help and promising tumor therapy.
Development and Analysis of Apple Inc.
Authors: Tan Qinwen
Published: October 2024

This essay analyses and discusses the prospects of Apple Inc. in four main areas: organizational structure, managerial responsibility and agency conflicts, portfolio theory and the CAPM model, and valuation using net present value. Finally, through these four aspects of analysis, it can be concluded that Apple Inc. has good growth prospects, so it can be considered to invest in the company. However, it is also important to note that the technology industry is extremely competitive, so it is important to keep an eye on Apple’s ability to keep innovating and optimizing.
Water-use Efficiency with Machine Learning: A Global Perspective
Authors: Shen Xizhe , Wu Muchen , Zhou Yanbang
Published: October 2024

Water scarcity is a pressing social, economic, and environmental issue with significant corporate sustainability and planetary health implications. Therefore, improving the efficiency of water resources use is an important research issue. With the rapid development of machine learning technology, relying on the learning ability of learning algorithms and the support of computer computing power, it is possible to optimize the global allocation of water resources through machine learning technology. This paper investigates the progress made by machine learning methods in water use efficiency. Specifically, this paper introduces the basic principle of the machine learning method for evaluating water resources efficiency, including classification and regression tasks. Then, several mainstream evaluation indexes of water resource utilization efficiency are introduced. Finally, this paper analyzes the main challenges and future development direction of machine learning to improve the efficiency of water resources utilization. This paper aims to provide a complete research view for researchers using machine learning methods to improve water efficiency.
The Application of Calculus in Credit Default Swaps: Pricing, Risk Assessment, and Market Implications
Authors: Lin Jiatai
Published: October 2024

This paper aims at the investigation of one of the derivatives, namely from the group of Credit Default Swaps, with the help of calculus and, more particularly, differential equations and integrals. The plan is to show how these calculative instruments may be utilized to price and risk measure CDS and to thereby illustrate the utility of such models in mitigating financial risks. The paper is structured as follows: In Section 2, ‘The mechanics and functionality of CDS’, the focus is brought on the specifics of construction of CDS contracts, and the matter of their pricing. Valuation of CDS is described in section three where differential equations and integrals are used in the mathematical modeling of these instruments. Section 4 also focuses on the connection between CDS and market stability; this section also looks at the positive and negative effects of CDS on the financial markets. Finally, Section 5 provides conclusion and recommendation for the subsequent research.
Generalization Investigation in Heart Disease Prediction: Comparative Analysis of MLP, Random Forest, and SVM with Cross-Domain Datasets
Authors: Zhou Shansong
Published: October 2024

The traditional way of predicting heart disease is usually through the subjective judgment of doctors, which is high subjectivity. Current machine learning methods do not pay enough attention to its universality. The two datasets used in this study are from Kaggle and preprocessed in advance, including standardization by using Z-Score and dimensionality reduction by KPCA. The two datasets were designated as the source domain and the target domain. The source domain dataset was further divided into two subsets with an 80:20 split, where 80% was used for training the model and the remaining 20% served as the test set. The trained model was then applied to the target domain to compare the differences in prediction results. Through the exploration of Multilayer Perceptron (MLP), Random Forest and Support Vector Machine (SVM), for the data set used in this study, when MLP uses a simple structure, the difference in prediction accuracy dropped from 13.8% to 5.07. For Random Forest, by increasing the number of decision trees and decreasing the minimum number of samples required for splitting, the difference is reduced from 15.6% to 9.32%. By modifying the penalty parameter C value of SVM, the difference on different datasets is reduced from 13.39% to 4.46%. This study is one of the few to explore the generalizations of heart disease prediction. The results demonstrate that the generalization performance of the model for heart disease prediction can be significantly enhanced through appropriate modifications to its structure and hyperparameters.
mRNA Vaccines: a Powerful Tool in Cancer Treatment
Authors: Chen Yihang
Published: October 2024

Cancer has always been one of the difficult objects for people to conquer. It’s killed a lot of people over a long period of time. As time goes on, technology becomes more and more advanced, and people are not limited to previous cancer treatments, but continue to research and try to find more treatments. In recent years, mRNA vaccines have gradually entered our field of vision. Compared with conventional vaccines, it often has a more flexible structure that can be modified, safer delivery methods, and higher efficiency. Although functional beyond imagination, the lack of knowledge in this area has prevented the use of mRNA vaccines in the treatment of many cancers. Once the many limitations and problems of mRNA are successfully solved, it can not only greatly promote the development of cancer treatment, but also make modern medicine get a milestone. This review introduces the current research and development progress of mRNA vaccines, and discusses the structure, delivery and application of mRNA vaccines.
Ensuring Food Safety through Effective Supply Chain Management:Challenges and Suggestions
Authors: Shi Ka Yeung
Published: October 2024

Ensuring food safety is a complex challenge exacerbated by the global nature of modern supply chains. Effective supply chain management plays a crucial role in safeguarding food. This paper explores the concerns of food safety that causes by unethical food supply chain. Case studies from both developed and developing regions illustrate successful initiatives and highlight lessons learned. The role of collaboration among stakeholders—producers, processors, distributors, regulators, and consumers—is emphasized as crucial for effectively managing risks and ensuring compliance with safety standards throughout the supply chain. This essay examines how supply chain issues affect food safety through three case studies: China’s oil scandal mixing edible and chemical oils, the 2022 U.S. peanut butter recall due to salmonella contamination, and antibiotic-contaminated Vietnamese shrimp amid Japan’s nuclear water release. Each case underscores the impact on public health and trust. By examining three current cases, this paper aims to provide a comprehensive understanding of how ineffective supply chain management can create food safety risks and reduce consumer confidence in the safety and integrity of the food supply chain and suggest possible course of action.
A-β Related Pathogenesis of AD Progress of Its Targeted Therapy
Authors: Xie Yunjuan
Published: October 2024

Alzheimer’s disease is a common type of dementia in people 65 years of age and older. Tens of millions of people worldwide are living with AD, and the number continues to grow. To date, there are several hypotheses about the pathogenesis of AD, the most widely studied of which is related to the accumulation of Aβ. Currently, there are five drugs in clinical treatment, most of which are inhibitors, as well as monoclonal antibody drugs such as Aducanumab that target Aβ. These drugs can effectively reduce the accumulation of Aβ. However, these drugs have significant side effects and are generally significantly reduced by the end of AD symptoms. This review will summarize the pathogenesis of AD related to Aβ, such as APP and neuroinflammation. This article will also discuss the progress and problems of existing Aβ-based therapies. In addition, this paper will also compare Aβ and Tau proteins to explore better AD treatment methods. These are the basis for further study of the pathogenesis of AD related to Aβ and the development of drugs based on it. Future studies could focus on the direction of immunotherapy targeting Aβ, and apply these drugs to therapies targeting Tau protein.
Intervention and Diagnosis Measures Based on Influencing Factors of Lactose Intolerance
Authors: Yang Mohan
Published: October 2024

Lactose intolerance (LI) is a common condition that often manifests as an inability to properly consume milk and dairy products, resulting in diarrhea, vomiting, and fever. Dietary treatments at this stage are broadly categorized into two approaches: avoidance or control of lactose intake, and supplementation with additional supplements. However, most of the papers are studies conducted on lactose-intolerant neonates. There are gaps in treatments or palliative programs for adolescent and adult patients. This paper analyzes the classification of different types of LI and the factors affecting them, introduces several diagnostic measures, summarizes the existing treatments, and concludes the possibility of advancing the case of neonatal LI treatment to adolescents and adults. It aims to provide a clear background for future exploration of treatment and mitigation methods for LI, providing more dietary choices and more suitable lifestyles for adolescents and adults with LI. However, there is a lack of discussion on treatments for LI other than dietary modifications, especially the measure of using probiotics, which is an area for future research to focus on.
Group Theory and Solutions of the Rubik’s Cube
Authors: Lee Norman
Published: October 2024

The paper explores the application of group theory to solving the Rubik’s Cube. Group theory, a branch of abstract algebra, studies sets equipped with an operation that satisfies specific properties: closure, associativity, identity, and inverses. The Rubik’s Cube is treated as a group because its set of moves forms a structure that aligns with these properties. By representing the cube’s various configurations and moves through the mathematical constructs of groups, the paper analyzes how the elements transform during cube manipulations. Key concepts such as symmetric groups, homomorphisms, alternating groups, and disjoint cycle decomposition are used to break down the cube’s complexity. Additionally, the study demonstrates how group actions, particularly the parity of permutations and orientation sums, govern valid cube configurations. The paper also references methodologies from other studies to apply and refine these mathematical approaches for systematically solving the Rubik’s Cube. Through these methods, the research illustrates how the cube can be navigated using logical algorithms grounded in group theory principles
Impact and Application of Vegan Diet on Gut Microbiota
Authors: Zhang Shuying
Published: October 2024

Vegan diet has been more popular these years. At the same time, a serious of researches showed that the dietary pattern can affect the gut microbiota. This review mainly shows the impact of vegan diet on human gut microbiota, along with the medical apply of these impact. It illustrates that vegans have more gut microbiota comparing to omnivores. In contrast, the long-term (over 3 years) vegans have higher abundance of Clostridiales and genera Faecalibacterium, Bacteroides, Clostridium and Prevotella and the short-term (3 days to 2 weeks) vegans have more various gut environment. For the imply of vegan diet’s effect on gut microbiota, it was found contributing on treating obesity,steatohepatitis, undernutrition and cardiovascular diseases. The limitation of the review is that the time, especially the long-term and short-term definition is various, causing the errors in the research analysis. Future research could combine the gut microbiota behavior with the vegan diet to create treatments or use it as a supporting diet.
A Comprehensive Guide to Whitening Ingredients for Women
Authors: Li Shiqi
Published: October 2024

Many people think that a fair and glowing complexion is a sign of beauty; however, with the large number of whitening products available in the market of varying quality, the question of how to choose the right whitening product is an important one. This article takes an in-depth look at the whitening ingredients available to users, which include vitamin C, arbutin, niacinamide, kojic acid, glutathione, alpha-hydroxy acids (AHAs), licorice extract, and ellagic acid. For each ingredient, the source, production method, function and details are provided. Results show that different skin types have specific needs. Dry skin requires moisturizing, oily skin benefits from sebum control and light textures, and sensitive skin needs mild ingredients. Each ingredient has its advantages and disadvantages, and potential drawbacks such as stability issues, allergic reactions, and skin irritation are discussed. This paper also emphasizes key points for choosing whitening products, including understanding skin type, considering the pros and cons of each ingredient, researching product source and quality, following correct usage methods, and combining with a comprehensive skincare routine and sun protection. This research is significant as it provides valuable guidance for women in making informed choices about whitening products, helping them achieve a healthy complexion through proper skin care and understanding of different ingredients.
Influence of Gut Microflora on Eating Disorders
Authors: Wang Xinyang
Published: October 2024

Eating disorders (EDs) have attracted extensive attention worldwide as a disease that seriously affects eating behaviour and weight control. The impact and pathogenesis of the gut microbiota in EDs remain important research directions and have sparked interest in developing treatments for these conditions. This review examines the intricate interactions between the gut microbiota and the gut-brain (GB) axis, and Eds focuses on bulimia nervosa (BN), binge eating disorder (BED), and anorexia nervosa (AN). According to the findings, the pathophysiology of AN and BED is correlated with lower levels of short-chain fatty acids (SCFAs) and beneficial bacteria in the gut microbiota. In addition, as a key mediator, the GB axis affects the neural pathways and behaviours between the brain and the gut, thereby exacerbating EDs symptoms. This review highlights the potential of gut microbiota-targeted therapies as adjunctive treatments for EDs. However, this study also has certain limitations. For example, more investigation is required to explore the clear mechanism and causal relationship between the gut microbiome and other EDs. Future studies should clarify the function of gut bacteria in EDs and advance treatment strategies.
Exploring the Formation, Characteristics, and Impact of Consumer Psychological Expectations on Consumer Behavior in the Chinese Environment
Authors: He Jiayang
Published: October 2024

Consumer decision-making is a complex process influenced by numerous factors, among which psychological expectations, as a potential force, play a key role in various consumer activities and have a profound impact on consumer purchasing behavior. This study aims to deeply analyze the formation mechanism, typical characteristics, and specific manifestations of consumer psychological expectations in the Chinese consumer market environment, and explore how these psychological expectations affect purchasing decisions. By revealing the inherent laws of consumer psychological expectations, this article aims to provide strategic guidance for enterprises, helping them improve sales performance and customer satisfaction by effectively managing consumer psychological expectations. The results of this study not only help enterprises to more accurately grasp consumer demand, optimize products and services in fierce market competition, but also provide empirical support for the development of consumer behavior theory, thereby enriching and deepening academic research in related fields.
Optimization and Application of Comprehensive Environmental-Economic Evaluation Indicator System in Sustainable Development Policies of Chinese Manufacturing Industry
Authors: Wu Haoge
Published: October 2024

This paper focuses on optimizing the comprehensive environmental-economic evaluation index system to enhance the sustainable development policy of China’s manufacturing industry. The current indicator system, while useful, has notable shortcomings that limit its effectiveness. To address these issues, the paper proposes the inclusion of crucial indicators such as green productivity, carbon footprint, and water footprint, which are essential for providing a more holistic evaluation. These additions aim to capture better the environmental impacts and resource efficiency within the manufacturing sector. The paper also discusses the challenges in data acquisition, emphasizing the need for a standardized national environmental data platform. Such a platform would facilitate the collection of accurate, reliable, and accessible data, thereby improving the precision of evaluations. To further refine the assessment process, dynamic evaluation models, like the system dynamics model, are introduced. These models are designed to provide a more nuanced understanding of the environmental impacts over time, allowing for more responsive and adaptive policy-making. The optimized indicator system is expected to have significant applications in policy formulation, enterprise management, and social oversight. By providing a scientific basis for decision-making, it will play a critical role in advancing the sustainable development of China’s manufacturing industry, ensuring that environmental considerations are fully integrated into economic planning and industrial practices.
A Hypothesis for Diagnosis of Chronic Myeloid Leukemia based on miR-15a
Authors: Huang Rui , Yan Yishi
Published: October 2024

Chronic myeloid leukemia (CML) is a type of leukemia characterized by myeloid proliferation. Morgana is a chaperone protein, whose levels are lower due to the overexpression of miR-15a in CP phase. By quantitatively detecting miR-15a and Morgana, we could verify the correlation of them to CP-CML, thus as biomarkers of CP-CML diagnosis.
Optimize Stormwater Management for Green Roofs Based on IoT Technology and Sensor Networks
Authors: Zhu Yinguang
Published: October 2024

The intensification of global climate change and the significant increase of extreme rainfall events have made traditional urban drainage systems face great adjustments. As a key component of green infrastructure to avoid urban flood risk, green roofs are receiving increasing attention due to their unique capabilities in stormwater management. This paper explores the potential of Internet of Things (IoT) technology and sensor networks to enhance green roof stormwater management. Integrated real-time monitoring of key environmental parameters, including soil moisture, temperature and rainfall, enables the system to dynamically adjust roof drainage and irrigation strategies. This greatly improves the rainwater retention capacity and reduces the pressure on the municipal sewage system. The results show that the combination of IoT technology and sensor networks not only improves the efficiency of green roof management in combating climate change, but also promotes the efficient use of water resources and enhances the adaptability and sustainability of the system. This research provides the necessary technical support for the wider adoption of green roofs in urban environments and offers viable solutions to future challenges posed by climate change.
Research on the Current Situation and Development Strategy of Green Finance Driven by the “Carbon Peaking and Carbon Neutrality” Goals
Authors: Jiang Yilin , Su Jiaying , Yao Bingyu
Published: October 2024

This article examines the current state and future direction of green financing in relation to the aspirations of “Carbon peaking and carbon neutrality”, with the application of the SWOT analysis framework to comprehensively examine the current situation of green finance, pointing out that its development has not only significant advantages and broad opportunities, but also faces multiple challenges and potential disadvantages. The analysis shows that under the catalysis of the “ Carbon peaking and carbon neutrality “ goals, green finance has received policy preferences and resource injection at the national level, and the market has shown a momentum of accelerated development. Under the guidance of policies, state-owned banks are actively exploring the innovation of green financial products, and international cooperation is becoming increasingly close, becoming the engine to promote the progress of green finance. However, the road ahead for green finance has not been easy. Problems such as lack of standardization, policy and economic volatility, lack of professional talent and technology, and low market awareness have become stumbling blocks to the deepening development of green finance. In view of these challenges, this paper deeply studies the development strategies of green finance and puts forward targeted suggestions, aiming to provide useful inspiration for scholars and practitioners in the field of green finance, help make breakthroughs in the theory and practice of green finance, and contribute to the construction of a green and low-carbon future economic system.
Research on the Impacts of Social Media Public Opinion on Women and Related Countermeasures
Authors: Chen Yanfei
Published: October 2024

The development of social media platforms allowed people to express their perspectives on hotspot events freely. These different perspectives belong to public opinion, and they can affect people in several ways. Women are usually associated with many hotspot events, such as domestic violence, sexual assault, and so on, and social media can make these events highly exposed and discussed. Some women use public opinion to speak up for themselves successfully, while others endure the injuries brought by public opinion because of some stereotypes and the dissemination of rumors. So, understanding the formation and propagation of public opinion, the specific pros and cons produced by public opinion, and the appropriate solution to reduce injuries can help to create a harmonious online environment and promote gender equality all over the world. Therefore, this essay reviews and analyzes the previous research to explore the procedure of how positive and negative effects were created by public opinion. Ultimately, it offers disparate strategies that different stakeholders can adopt to minimize the negative impacts.
The Identification and Regulation of Expropriation in International Investment Law
Authors: Jin Anxu
Published: October 2024

This essay focuses on the concept of expropriation within the framework of international investment law. Expropriation has evolved from direct state appropriation of foreign investors’ property to indirect expropriation, a more covert measure without the transfer of ownership. This essay distinguishes between direct and indirect expropriation, explores the meaning of expropriation through key cases, and evaluates the challenges tribunals face in legal practices. Finally, this essay examines the role of fair and equitable treatment (FET) standards and compensation mechanisms. With an effective regulation of expropriation, the author believes that a balance between state sovereignty and investor protection can be achieved.
Analysis of the Problems and Effects of Family-School Collaboration
Authors: Meng Yuanyuan
Published: October 2024

Family-school collaboration has received widespread attention, but it still has not improved in a kind of development progress. This article outlines the problems and effects of family-school collaboration. This paper argues that the biggest barrier to implementing a useful family-school collaboration would be the communication between parents and teachers. Parents’ and teachers’ communication ways, frequency, and influence would affect the quality of information about their children’s performance that parents can get, which will also determine parents’ satisfaction with this school. In this case, this article supposed that it is crucial to improve the significance of parents’ participation and build a closer relationship between parents and teachers so that a kind of stimulation or motivation for children to study in a better way. So some policies try to increase parents’ participation in tutoring for their children and create a new bond with teachers so that being a helper or supervisor of children.
The Application and Challenges of Artificial Intelligence in G Protein-Coupled Receptor Drug Virtual Screening
Authors: Chen Xixi , Lin Xinyi
Published: October 2024

G protein-coupled receptors play important roles in various diseases and are key targets for drug discovery. Virtual screening has traditionally been used to identify potential drug candidates from large compound libraries but faces challenges in computational resources and time constraints. The integration of artificial intelligence technologies has improved screening precision and reduced costs. This review discusses current developments, challenges, and future directions in leveraging artificial intelligence to advance GPCR drug screening.