bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on High Frequency Usage Scenarios of Touch Interactive in Dynamic Scenarios
Authors: Wang Shimeng , Zhang Qipeng , Tian Zhe , Zhao Meng
Published: November 2024

In the era of intelligence, the smart cockpit mainly consists of more abundant large LCD instrument panel, comprehensive touch control screen, advanced in-vehicle infotainment system, etc., to create a new user experience for drivers and passengers in the cockpit. With the development of smart cockpit, touch interaction has become one of the high-frequency ways for users to interact with cars. Performing touch interaction tasks in dynamic scenarios requires distraction that prevents it from keeping its eyes on the road. At present, the scene of touch interaction safety evaluation in the industry is concentrated on air conditioning and radio, but in the dynamic scene, the driver will carry out many other operations, such as making and receiving calls, playing music, navigation Settings, vehicle Settings and other functions, which will bring safety risks such as sight deviation. Therefore, it is very important to study the high-frequency use scenarios of touch interaction in dynamic scenarios, which is helpful for enterprises to develop and design more secure and convenient interaction methods.
Research on Particle Swarm Image Threshold Segmentation Method Based on Rough Set
Authors: Zhang Dongpo , She Zhiyong , Zhang Jiaqi
Published: November 2024

Image processing is an important way to obtain information and is widely used in important fields such as military, medical and transportation. Image segmentation plays an important role in image processing. In view of the inherent complexity and correlation of the image itself, how to deal with the uncertainty in the image segmentation process is the main work to obtain a more accurate image segmentation result. We propose an image single-threshold segmentation algorithm using the maximum dependency of variable precision rough set (VPRS). The algorithm uses VPRS to represent the image, and uses the maximum dependency and particle swarm optimization to solve the optimal image segmentation threshold, which effectively handles the uncertainty in image segmentation. The experiments show that the single-threshold segmentation algorithm has certain practicability and flexibility, the segmentation effect is better than the maximum average information entropy method, and the segmentation efficiency is significantly higher than the ordinary iterative method.
Exploring Innovative Paths for Professional Development of University Teachers in the Context of Interdisciplinary Integration
Authors: Zhong Guoyan , Nagappan Rajendran
Published: November 2024

University education as an important cradle of talent cultivation in Chinese society, the professional ability and level of teachers also play an important role in the social supply of talent, in order to further enhance the effect and quality of talent cultivation in colleges and universities, it is necessary to vigorously promote the professional development of teachers, so as to create a high-quality teaching staff, to meet the social development of the demand for excellent talents. Interdisciplinary integration is an important path to promote teachers' professional development, which not only enables teachers to carry out educational teaching from an interdisciplinary perspective, but also enables teachers to refine their professional ability and strengthen their teaching level, so as to accomplish the task of training talents in colleges and universities in a higher quality. Therefore, in the paper, the concept and characteristics of interdisciplinary integration are analyzed in depth, its specific impact on teachers' professional competence and professional identity is analyzed, and finally an innovative path to promote the professional development of university teachers is proposed, which is used to help colleges and universities to create a high-quality professional teacher team.
Transfer Learning with Pre-trained ResNet-50: Predicting SPX Option Prices
Authors: Lin Zihao
Published: November 2024

Due to the volatility and complexity of the options market, it has exacerbated the difficulty of predicting option prices and attracted widespread attention. In recent years, many machine learning (ML) techniques have been explored for this purpose. This paper implements the advanced ML models to boost the accurate prediction of the option price, which includes the comparison between traditional ML techniques Random Forest and Support Vector Regression (SVR), as well as the Convolutional Neural Network (CNN) ResNet-50. Additionally, we further compare the performance of ResNet-50 pre-trained on ImageNet through transfer learning. These methods are used to predict the implied volatility, which is then transformed into option pricing using the Black–Scholes Option Pricing Model (BSOPM). Finally, we compare the performance of these models based on error analysis using RMSE and R². The experimental results show that the pre-trained ResNet-50 reduces the error by 6% compared to the un-pretrained ResNet-50, by 51.2% compared to Decision Trees, and by 51.1% compared to SVR. The predicted option prices align well with the actual values, demonstrating the feasibility of applying pre-trained ResNet-50 on option price prediction.
Research on the Design of WeChat Applet of Persimmon Dye Culture from The Perspective of Scenario Construction
Authors: He Huiqian , Ye Guoyuan , Li Keyue , He Jiaru , Wen Ya , Zhu Yuwan
Published: November 2024

With the rapid development of information technology, the dissemination and preservation of traditional culture face new opportunities and challenges. This study aims to explore design strategies for a WeChat Mini Program focused on persimmon dyeing culture, to promote the inheritance and development of this intangible cultural heritage. Through user needs analysis, a user experience design framework based on contextual theory was constructed, and a Mini Program was developed that integrates cultural display, education, community interaction, and immersive experiences. The results highlight the importance of contextual construction in enhancing cultural experiences and user engagement, providing a reference for the digital transformation of other traditional cultures. The study explores the characteristics and direction of contextual construction in the design of the persimmon dyeing Mini Program, introduces key points in the program's development, and analyzes its current state and future development trends, offering support for the growth of persimmon dyeing traditional culture.
Research on Code Generation Technology based on LLM Pre-training
Authors: Chen Ling
Published: November 2024

In recent years, the continuous improvement and rapid development of large language model (LLM) technology, and the pre-trained code generation technology involved in it has attracted extensive attention in the industry. Through LLM, the conversion from the well-known natural language (NL) to the programming language (PL) written by professional code practitioners can be realized, which greatly reduces the threshold of programming language, and has demonstrated significant performance and advantages in code generation tasks through pre-training. This paper systematically sorts out, researches and summarizes the pre-trained code generation techniques in recent years. Firstly, the development time roadmap of the pre-trained model related to code generation is extracted from the relevant research results. Secondly, the characteristics of different code generation pre-trained models are sorted out and summarized. At the same time, the evaluation mechanism and dataset for different pre-trained code generation models are given, and the research data are compared and analyzed. Finally, combined with the current development situation, the future development direction of code generation technology is prospected.
A Method of Dynamic Spatial Positioning of the Eyeball Based on Optic Disc Feature Following in Infants and Young Children
Authors: Ju Mingjun , Li Zhongmin , Wang Jing , Guo Xiaohui , Hu Biao
Published: November 2024

The dynamic spatial positioning of infants' eyes is crucial in ophthalmic retinal screening and medical imaging research. It plays an important role in the diagnosis of retinal diseases, the design of personalized treatment plans, and the monitoring of ophthalmic surgery. In order to solve the defects of existing eye tracking equipment and technology, such as complex implementation, sensitivity to environmental conditions, and limited long-term use, this study proposed a dynamic spatial positioning method of the eye based on the characteristics of the optic disc of infants. This method calibrates the size of the eye and retinal image through digital-analog linkage technology. It establishes a mapping relationship between pixels and physical sizes, and effectively solves the perspective distortion problem in retinal image acquisition, improving positioning accuracy and reliability. The centroid of the optic disc is selected as the reference point for spatial transformation, and the dynamic spatial changes of the eye are converted into changes in the centroid of the optic disc. Experimental results show that this method has good accuracy and robustness. The accuracy of dynamic spatial positioning of the eye is 0.0001 mm, and its average error is 0.000888 mm.
РОССИЯ В СИСТЕМЕ МЕЖДУНАРОДНЫХ МИГРАЦИОННЫХ ПРОЦЕССОВ: СОВРЕМЕННАЯ СИТУАЦИЯ И ТРЕНДЫ
Authors: О.Ю. Патласов
Published: November 2024

В статье проводится анализ вовлеченности России в систему международной миграции. Рассматриваются статистические данные Росстата о численности выбывших / прибывших международных мигрантов, о государствах, которые лидируют по приему российских граждан, и странах – донорах мигрантов для России. Представлен литературный обзор актуальных научных исследований, затрагивающих проблемные вопросы международной миграции. В рамках изучения актуальных миграционных трендов России особое внимание уделено феномену виртуальной миграции. Высказывается предположение о том, что виртуальная миграция способна нивелировать напряженную ситуацию на национальном рынке труда, вызванную возникшим дефицитом кадров в отдельных отраслях.

The article analyzes Russia's involvement in the international migration system. The statistical data of Rosstat on the number of departing/arriving international migrants, the states that occupy leading positions in receiving Russian citizens and donor countries of migrants for Russia are considered. A literature review of current scientific research addressing problematic issues of international migration is carried out. As part of the study of current migration trends in Russia, special attention is paid to the phenomenon of virtual migration. It is suggested that virtual migration can level out the tense situation in the national labor market caused by the emerging shortage of personnel in certain industries.
СТРАТЕГИЧЕСКИЕ НАПРАВЛЕНИЯ ЭКСПОРТНОЙ ДЕЯТЕЛЬНОСТИ ПРЕДПРИЯТИЙ НЕФТЕГАЗОХИМИЧЕСКОЙ ОТРАСЛИ В УСЛОВИЯХ САНКЦИЙ
Authors: С.И. Самоделкин , А.Ю. Анисимов
Published: November 2024

Актуальность исследования обусловлена тем, что в современных условиях развитие экспортного потенциала предприятий нефтегазохимической отрасли становится необходимым фактором, способствующим не только созданию условий для промышленного производства на внутреннем рынке, но и снижению зависимости страны от сырьевого экспорта. Однако под значительным влиянием геополитических факторов и усиления санкционного давления российские нефтегазохимические предприятия сталкиваются с необходимостью пересмотра своих экспортных стратегий. Цель статьи исследование стратегических направлений экспортной деятельности предприятий нефтегазохимической отрасли в условиях санкционных ограничений. В статье анализируются экспортные потоки полиэтилена российских предприятий, проводится оценка снижения объемов экспорта полиэтилена в результате введенных санкций в отношении российских предприятий, а также анализ потенциальных рынков сбыта полиэтилена и факторов, оказывающих влияние на развитие экспортных стратегий предприятий. Исследование данных об импорте полимеров в 132 стран показало, что потенциальными для экспорта российских производителей полимерной продукции выступают рынки Вьетнама, Индии, Индонезии, Малайзии, однако дальнейшее развитие экспортных стратегий предприятий нефтегазохимического комплекса требует развития транспортно-логистической инфраструктуры для построения новых логистических цепочек и перераспределения экспортных потоков.

The relevance of the research is due to the fact that in modern conditions, the development of the export potential of enterprises in the petrochemical industry is becoming a necessary factor contributing not only to the creation of conditions for industrial production in the domestic market, but also to reducing the country’s dependence on raw material exports. However, under the significant influence of geopolitical factors and increased sanctions pressure, Russian petrochemical enterprises are faced with the need to revise their export strategies. The purpose of the article is to study the strategic directions of export activities of petrochemical industry enterprises under the conditions of sanctions restrictions. The article analyzes the export flows of polyethylene from Russian enterprises, assesses the decline in polyethylene export volumes because of sanctions imposed on Russian enterprises, as well as analyzes potential markets for polyethylene and factors influencing the development of export strategies of enterprises. A study of data on the import of polymers into 132 countries showed that the markets of Vietnam, India, Indonesia, and Malaysia are potential for the export of Russian producers of polymer products; however, the further development of export strategies of petrochemical enterprises requires the development of transport and logistics infrastructure for building new logistics chains and redistributing export streams.
Benefits and Drawbacks of FDI to Host States: Difference in Developing Countries and Developed Countries
Authors: Long Yaoting
Published: November 2024

Abstract: FDI has brought both benefits and drawbacks to host states and investors. But there are some inequalities in international investment systems. This article uses Spearman Rank Correlation Coefficient to test the influence of FDI, and analyzes cases in India, Peru and the United States to explore benefits and drawbacks of FDI, finding that the situation of inequality is more serious in developing host states like India and Peru, because the immorality of investors and the irresponsibility of governments. This article appeals that international investors should take social responsibilities and governments of host states should modify policies to improve the efficiency of regulation and construct a friendly business environment.
Parallel Imports: The Principle of Domestic Exhaustion of Trademark Rights and the Strict Non-infringement Exception
Authors: Guo Jie
Published: November 2024

Abstract: With the development of globalization, parallel importation has been one of the efficient instruments to promote free trade worldwide. However, the trademark protection involved in parallel importation is complex as it concerns many elements. There is no consensus among countries on the legal nature of parallel imports. This essay comprehensively applies the case law rules, the comparative research rules, the literature analysis and the historical analysis method, analyzing reasons for the dilemma of parallel imports and different postures of countries and regions towards it. Some countries oppose parallel importers based on the theory of domestic exhaustion of trademark rights, while other supports the act for the theory of international exhaustion of trademark rights. Then the essay compares different legal measures taken by the United States, the European Union, the United Kingdom and China in the face of parallel imports, and finally concludes that China should adhere to the principle of domestic exhaustion of trademark rights and the strict non-infringement exception for the balancing of private rights and public interests.
The Application and Influence of Interest-Driving in Digital Learning
Authors: Zhou Siyi
Published: November 2024

Abstract: The rapid growth of digital learning platforms has reshaped traditional education by combining structured learning with entertainment--a concept commonly known as "edutainment." This study delves into the connection between intrinsic and extrinsic motivation and how they affect student engagement as it enters into the intricacies of interest-driven learning in digital settings. The important study emphasizes how crucial it is to cultivate intrinsic interest to sustain long-term academic achievement. The difficulty, though, is striking a balance between the gamified learning's attractive features and the systematic rigor essential to academic success. This paper conducts a critical analysis of the ways in which digital technologies, in particular gamification, might promote deep comprehension through real-world applications or increase dependency on rewards, therefore improving or impeding learning. It also discusses the negative aspects of online education, like a lack of community and social connection from traditional classrooms. The study concludes with a suggestion for a solution: interactive gamification based on continuous feedback, real-world simulations, and sustained commitment to maintain a productive balance between amusement and depth of learning.
Comparison of Higher Education in China and the U.S
Authors: Gong Xiaoqing
Published: November 2024

Abstract: With stabilizing societies worldwide, the differences in higher education have been widely discussed. Yet, the fundamental causes remained to be studied. In this paper, influences of history and culture, admission process system, and design of curriculum in different regions have been comparatively analyzed. The paper concluded that China advocates an exam-driven system such as Gaokao as a highly effective tool for meritocracy but limits flexibility, while the U.S. adopts a decentralized and holistic approach and emphasizes diversity. These factors significantly impact students and even the whole society, including social mobility, values of collectivism and individualism, and so on. Ultimately, the paper reveals broader implications of higher education on Chinese and American students respectively, assessing from a few perspectives, including learning efficiency, formation of personality, individual future pathways, and even the nation itself. Yet, there are potential challenges in both higher education in China and the U.S., mental health issues, and a narrow view of the admission process are some examples taken into account for China, while fairness, over-flexibility, and class differentiation occurred in America.
Research on the Influencing Factors of Second-Generation Chinese Cognitive Construction from the Perspective of Identity
Authors: Chen Zihan
Published: November 2024

Abstract: The cognitive construction issues of second-generation Chinese immigrants have received widespread attention, but there is still a lack of analysis from the perspective of identity recognition. This article analyzes the influencing factors of cognitive construction for second-generation Chinese immigrants from the viewpoint of identity recognition. This article analyzes how the cognitive construction and social concepts of second-generation Chinese immigrants are related to language and education. Based on this, there are some suggestions in the article. First, achieve the formation of diverse concepts among the second generation of Chinese descendants through family education. Second, from an individual perspective, making a balance between Eastern and Western values to form suitable values. Finally, respecting the cultures of various countries and integrating into mainstream society. Through these analyses and recommendations, it can gain a deeper understanding of the cognitive construction problems faced by second-generation Chinese immigrants and find effective solutions to promote their identity recognition and social integration.
Hungarian Revolution of 1848: Analyzing Economic, Social, and External Factors Through Historical and Comparative Methods
Authors: Zhuang Jia
Published: November 2024

Abstract: After the French Revolution and Napoleon's sweep through Europe, the Congress of Vienna restored order and the balance of power through conservatism, restoration of monarchs, and territorial redistribution, resulting in a period of relative peace with no major wars between European countries for several decades. However, societies have not been as tranquil as this seemingly calm outlook; transformations and revolutions continued as people strived for increased political representation and freedom. The revolution of 1848, as a transnational event, successively triggered changes in most European countries. Although the revolution was recognized to ultimately a failure, it still has a profound impact on today's society. Despite being a supranational event, revolutions occur for different reasons in different countries. In Hungary, the main reasons for the revolution were the economic crisis caused by the failure of the grain harvest, Hungarian nationalism and the demands of the nobility, and, inevitably, the influence of revolutions in other regions.
The Divergence in Economic Policy Preferences: How North-South Divides Challenge European Integration
Authors: Guo Zihan
Published: November 2024

Abstract: This study aims to analyze the economic policy differences between Northern and Southern European countries in the process of European integration, particularly focusing on fiscal policies and austerity measures during the European debt crisis. Northern European countries are generally characterized by high welfare, high taxation, and strict fiscal discipline, whereas Southern European countries face challenges such as unequal welfare systems and weak industrial bases. These differences stem from historical, cultural, and economic structural factors, which became especially pronounced during the response to the debt crisis. Northern European countries advocate austerity measures to restore economic stability, while Southern European countries argue that these policies exacerbate economic recession and social unrest. This paper explores how these policy differences challenge the EU's decision-making processes, member state relations, and the broader process of European integration. It also points out that addressing these divisions while maintaining the course of European integration to strengthen economic cohesion within the EU is a key challenge for the Union.
Analysis of the Gap Between Urban and Rural Education in China from the Perspective of Educational Equity
Authors: Ma Shanshan
Published: November 2024

Abstract: The urban-rural education gap in China remains a significant social challenge despite substantial government reforms and investments in education. This paper explores the disparities in educational resources, opportunities, and outcomes for urban and rural youth, emphasizing the historical, economic, cultural, and institutional factors that contribute to this inequality. Through a theoretical analysis, this paper assess the distribution of educational resources, focusing on teacher quality, teaching facilities, and government investment. Additionally, we investigate the impact of the household registration system, uneven economic development, cultural differences, and social mobility on educational equity. The findings of this study highlight the critical barriers faced by rural students, including limited access to resources and substandard educational conditions. This study propose comprehensive reforms to address these disparities, emphasizing the need for targeted support mechanisms and the use of technology to enhance access to quality education. Future research should adopt mixed-method approaches to gain deeper insights into the complexities of the urban-rural education gap.
Antimicrobial peptides-a promising novel antimicrobial agent
Authors: Li Haochen
Published: November 2024

Abstract. Antibiotic resistance has become one of the most critical public health problems in the 21st century, and infections caused by drug-resistant bacteria severely threaten human health. Otherwise, the development rate of conventional antibiotics has been unable to keep up with the speed at which bacteria develop resistance. Therefore, it is urgent to develop antimicrobial agents with novel mechanisms of action. Antimicrobial peptides (AMPs) are naturally occurring polypeptides with antibacterial activity, which have different mechanisms of action from existing antibiotics and thus have incomparable advantages over traditional antibiotics in treating infections caused by drug-resistant bacteria. Up to now, AMPs have been used in several clinical studies to destroy drug-resistant bacteria. The review introduces the basic properties of AMPs and their therapeutic mechanisms, summarizes some advances in preclinical studies and clinical applications, and analyzes the factors limiting their application in clinical treatment. In addition, some new strategies to overcome the shortcomings of AMPs in clinical applications are also introduced. Efficient and diverse synthesis technologies and optimization strategies keep coming to overcome the difficulties of clinical applications for AMPs, which may become an important weapon against drug-resistant bacterial infections in the future.
Research progress in stem cell technology in Alzheimer's disease
Authors: Wang Emily Qixuan
Published: November 2024

Abstract. Dementia in the elderly is a neurodegenerative disease that affects approximately 50-75% of people worldwide. Patients with Alzheimers will gradually experience a decline in intelligence and cognitive function, and Alzheimers is also the most common form of Alzheimers disease. At present, there have been many advances in the causes and treatment of Alzheimers disease, but they also face great difficulties. There is no effective treatment for senile dementia yet, and the main clinical drugs are to alleviate symptoms, delay onset, and reduce the impact of the disease on daily life. However, stem cell technology has made great progress this year, and stem cells have shown tremendous potential in the treatment of many diseases. Many studies have been conducted on the use of stem cells in the treatment of Alzheimers and Alzheimers disease, and some of the results have shown good therapeutic effects. The application of mesenchymal stem cells in the treatment of Alzheimers disease has been partially preclinical. However, most of the plans for treating dementia in the elderly through stem cell therapy are still in the experimental stage, and there is currently a lack of standardized treatment. There are potential risks and technical difficulties in promotion and implementation that need to be further explored. Further research is needed on the risks, processes, and technical difficulties of stem cell therapy. This article will systematically discuss the symptoms and pathogenesis of senile dementia, and analyze the current use of stem cells in the treatment of senile dementia. This article will contribute to peoples understanding of dementia in the elderly and promote related research.
The application of statistical techniques in assessing the impact of medical interventions: A case study of diabetes management
Authors: Shi Xueji
Published: November 2024

Abstract. Esophageal cancer (EC) ranks seventh among all cancers in terms of frequency and is the sixth leading cause of cancer-related deaths worldwide. The 5-year relative survival rate for esophageal cancer stands at a dismal 21%, which is nearly the lowest among all cancers. In China alone, over 477,900 individuals are diagnosed with EC annually. Advances in whole-genome sequencing technologies have enabled researchers to identify numerous gene mutations across the entire gene sequence in EC patients. This paper aims to consolidate current knowledge on several key genes implicated in EC, as revealed by whole-genome sequencing of patient biopsies. By examining research papers published within the last decade, this study captures the main findings and elucidates the influence of mutations in SOX2, TP53, NOTCH1, SMAD4, and CDKN2A on the formation, progression, and prognosis of both esophageal adenocarcinomas and squamous cell carcinomas. The insights gained are expected to contribute positively to the overall comprehension of esophageal cancer.
Current status and trend analysis of chronic heart failure research based on CNKI database and CiteSpace
Authors: Quzhen Baima , Shi Xue
Published: November 2024

Abstract. Purpose: Chronic heart failure (CHF) is a serious cardiac disease and has become a common and high-incidence disease worldwide. This study aims to investigate the current status and trends of research on CHF over the past decade (2013-2023), in order to understand the latest developments in this field and future research directions. Methods: Using the China National Knowledge Infrastructure (CNKI) as the data source, visual analysis software CiteSpace 5.5 R1 was employed to visualize and analyze CHF-related research, exploring authors, institutions, keywords, and development trends of relevant studies. Results: A total of 1907 articles were included. Visual analysis revealed that research authors were relatively dispersed, with few collaborative publications. The collaboration among main research teams was insufficient, and the main research institutions were also relatively dispersed. Hot keywords included chronic heart failure, heart failure, chronic congestive heart failure, cardiac function, quality of life, prognosis, ventricular remodeling, brain natriuretic peptide, etc., forming nine clusters. Conclusion: The publication volume of CHF over the past decade showed a trend of gradual decrease followed by an increase. The impact of cardiac function on patients prognosis and quality of life has received relatively high attention in the field of chronic heart failure.
Pathogenesis, diagnosis and treatment targeted macrophages in COPD
Authors: Chen Yuhua
Published: November 2024

Abstract. Chronic obstructive pulmonary disease (COPD) is a recurrent chronic lung disease. The macrophages, as an important type of innate immune cells, increased significantly in lung tissues and airspaces of COPD patients, suggesting a potential role of inducing inflammatory responses through activating innate and adaptive immune responses, accelerating disease progression. Recently, breakthrough achievements have been made in the diagnosis and treatment of COPD through targeting macrophages depending on high-throughput sequencing and analysis methods. In this review, the author summarizes the progress of macrophages in COPD in recent years, focuses on the new findings of high-throughput sequencing, revealing new directions and novel candidates in the pathogenesis, pathology, diagnosis and treatment targeting macrophages for COPD patients.
Research progress on reprogramming induction of small molecules
Authors: Liu Yixuan
Published: November 2024

Abstract. In the fields of medicine and biology, tissue and organ transplantation is a key area of research for scientists. In order to meet the increasing demand for tissue and organ transplantation, the artificial induction of various types of tissue and organs has gradually become a research hotspot today. The gradual reprogramming of cells can generate transplanted organs without rejection reactions and enable low-cost testing of drug effects on the human body, which has broad prospects in medicine. At present, a large amount of research has been conducted on inducing organ transplantation through recoding, and a large amount of literature has been accumulated in preclinical studies, including the mechanisms and principles of its occurrence. There have been many attempts in inducing organ development in vitro, but there is no systematic summary and analysis of the relevant content. This article reviews the research progress of reprogramming to generate iPS, from the transfer of Yamanaka factors to the induction of small molecule reprogramming. Then, considering the current difficulty in screening new highly efficient inducible small molecules, this article used a reprogramming related protein.
Ketogenic diet and its treatment for brain and other nervous system cancers
Authors: Yao Jiani
Published: November 2024

Abstract. A growing body of empirical evidence indicates the paramount importance of nutrition in cancer treatment, especially glioma. Among the various strategies proposed to enhance traditional anticancer therapy, ketogenic diets (KD) have emerged as a noteworthy approach. In this review, seven papers highly relevant to the effects of ketogenic diet on glioma are selected and the factors involved are summarized. A Google Scholar search with the subject terms ketogenic diet and brain cancer or ketone bodies and glioma results in the selection of seven papers highly relevant to the topic. Animals injected with tumor cells or patients diagnosed with glioma, which had received a ketogenic diet for at least ten days, are included in the analysis. The metabolism-related measurements are also taken. The seven papers show that the ketogenic diet can lower glucose levels, increase -OHB levels, and reduce tumor size or weight. Additionally, it can also impact brain tumor vascularity and gene expression and potentially influence survival time, making it a promising approach for managing brain cancer in humans. In conclusion, there is evidence showing that the Ketogenic diet has the potential to treat brain cancer. Due to the duration and sample volume of the previous studies, future research still needs to continue.
Research progress of photodynamic therapy in the anti-tumor field
Authors: He Yingying
Published: November 2024

Abstract. Photodynamic therapy (PDT), which is based on activating photosensitizers by light of a certain wavelength to produce anti-tumor effects, has attracted much attention because of its non-invasiveness and high selectivity for tumors. In many tumor diseases with high mortality rates, PDT has achieved better therapeutic effects when combined with a variety of therapies and has become one of the most important methods for treating a variety of cancers. In this review, we have collected research on the application of PDT in cancer and its combination with chemotherapy, immunotherapy, and nanomaterials in recent years, aiming to show that the combination of PDT with other therapies deserves further exploration
Research on the impact of congenital joint activity and flexibility on the development of dancers
Authors: Hu Xinyue
Published: November 2024

Abstract. The importance of range of motion and flexibility in dance training is self-evident. The article aims to solve the typical training problem of dancers due to the growth difference between joints and muscles under various conditions. Common hip injuries in dance training include iliopsoas muscle strain, synovitis, etc., which may be caused by sudden twisting or overextension of the hip joint. To improve flexibility, auxiliary training such as Pilates has become the first choice for dancers, by strengthening the toughness and stretching of fascia and muscles, reducing the risk of hip friction and injury. In auxiliary training, the training of antagonist muscles is crucial, by transposing a set of antagonist muscles to exert force, effectively improving leg flexibility while maintaining joint stability. In addition, the activation of the physical function of the trainees before the class is also key, and the warm-up activities are used to increase the level of bursts and reduce the risk of muscle strain. Taking into account the range of motion, flexibility training, and physical function activation, we can provide dancers with a more scientific and effective dance training program to ensure their physical health and performance quality.
Lung cancer drug development: From traditional chemotherapy to targeted and immunotherapies
Authors: Shi Xutao
Published: November 2024

Abstract. Lung cancer remains one of the deadliest types of cancer in the world, with the number of deaths due to lung cancer increasing dramatically year after year. In the same period, the approach to the treatment of lung cancer has changed dramatically over the past few decades, from systemic chemotherapeutic drugs-platinum-based drugs in the beginning to a wide range of newer therapeutic approaches such as targeted therapies and immunotherapies at the present time. This article reviews the development of drug therapy for lung cancer. By comparing the differences in mechanism of action and clinical side effects between traditional chemotherapeutic drugs and targeted drugs, we aim to highlight the importance of the development of new targeted drugs and new therapeutic means. In addition, the article also analyses the development and achievements of novel drugs targeting NSCLC with MET-14 exon mutations, and looks into the possible future therapeutic strategies, but there are some research gaps in combination therapy. Through an analysis of the development of lung cancer drugs, this paper aims to provide a more comprehensive perspective to provide guidance for the development and treatment of lung cancer drugs in the future, but there are still a lot of different efficacies brought about by the combination of drugs that have not been resolved, and future research can focus on the direction of the combination of therapies.
Exploring the antipyretic and anti-inflammatory mechanisms of Bai-Hu-Tang
Authors: Zhang Xiyun
Published: November 2024

Abstract. Bai-Hu-Tang (BHT), derived from the Treatise on Cold Damage, is a classic traditional Chinese medicine formula mainly used to treat fever symptoms caused by excessive heat in the Qi component. Modern medical research has shown that BHT has significant antipyretic effects and can inhibit inflammatory reactions. However, the antipyretic substance basis and mechanism of action of BHT are not fully understood. Although studies have revealed its inhibitory effect on inflammatory factors, there is still a lack of in-depth understanding of its molecular level regulatory mechanisms. This article explores the effects of BHT on antipyretic and anti-inflammatory signaling pathways through modern pharmacological methods. This article specifically analyzes the specific effects of the active ingredients of the main drugs in BHT formula on the relevant signaling pathways of antipyretic and anti-inflammatory effects, and systematically explains the antipyretic and anti-inflammatory mechanisms of BHT with multiple pathways and targets. This study not only provides scientific basis for the clinical application of BHT, but also provides reference for future research. However, further research is needed on the interaction between multiple components in BHT and their regulatory effects under different pathological conditions. Future research can focus on the efficacy evaluation of BHT in different inflammation models, as well as its impact on immune cell function, in order to provide more scientific support for the modernization and internationalization of traditional Chinese medicine.
The application and prospect of green chemistry in pharmaceutical field
Authors: Ran Jiazi
Published: November 2024

Abstract. As the global environmental problem gets worse and worse, green chemistry as a sustainable theory and method gets more attention than before. This paper talks about green chemistry in the pharmaceutical industry. Initiate the discussion by introducing green chemistry and its twelve principles, highlighting the methods and technologies of green synthesis. Next, the research will discuss the environmental challenges that the pharmaceutical industry faces, the detrimental effects of traditional processes on the environment, and the analysis required to transition to a greener approach. Next, it delves into the two aspects of green chemistrys application in the pharmaceutical field: green synthetic drugs, green solvents, and green catalysts. Next, it presents a summary of the advancements and future potential of green chemistry technology. Finally, the paper found that using the principle of atom economy properly can minimise the generation of by-products and reduce the after-treatment cost. Whats more, the solvent, which always took up a large amount of total mass, used a lot of resources but resulted in a lower conversion rate.
Research progress of paclitaxel in the field of antitumor
Authors: Bu Qingyue
Published: November 2024

Abstract. Cancer is the second leading cause of human death globally, and its incidence is still increasing year by year. How to prevent and treat cancer is currently the focus of attention. Paclitaxel is a natural anti-tumor drug that has multiple important applications in tumor diseases due to its interactions with various cells and molecules. Although paclitaxel has shown high utility value and significant advantages in tumor treatment, it has limitations such as low solubility, fast metabolism, and poor targeting. This article focuses on the mechanism of action and drug resistance of paclitaxel in anti-tumor applications, as well as the research progress in the treatment of various tumor diseases.
Application analysis of monoclonal antibodies in plant
Authors: Ma Sici
Published: November 2024

Abstract. monoclonal antibody is a highly homogeneous antibody produced by the cloning of a single B lymphocyte and directed only against a specific epitope. With the deepening of research on mAb, it can not only be used to treat human diseases, but also be used for the diagnosis of plant bacteria and viruses. In this paper, some applications of monoclonal antibodies in plants were reviewed, and it was found that the recent application direction was mainly focused on plant quarantine and traditional Chinese medicine (TCM) toxicity detection, and it was gradually applied to the research field of TCM, providing a new means for the quality control of TCM. Although McAb has shown good application prospect in many aspects, its development process is complex and there are large differences in the recognition specificity for different strains. Future research can pay more attention to the diagnosis and treatment of plant diseases to provide reference, convenient to speed up the quarantine to reduce the severity of the epidemic; It also provides reference for the research and quality control of toxic TCM containing toxic proteins.
Advances in genomics analysis for microbial soil remediation
Authors: Qu Ruiyi
Published: November 2024

Abstract. Soil pollution is a global environmental problem that poses a threat to ecological balance and human health. Microbial soil remediation is an eco-friendly technology that utilizes microorganisms to degrade or transform soil pollutants. Due to some drawbacks of traditional soil remediation methods, microbial remediation method has become a hot research topic nowadays. In recent years, the development of genomics analysis technology has greatly promoted the progress of microbial remediation research, and the use of genomics approach is free from the technical constraints of traditional research and can efficiently obtain the relative abundance of microbial communities and other information. In this paper, we reviewed the application of genomics in microbial soil remediation, and discussed the genomic analysis of several examples of heavy metal contaminated soil remediation, which provides a reference for researchers to quickly screen analytical methods in the field of microbial soil remediation, and reveals the biological significance of genomics analytical techniques.
Research progress on treatment burden and intervention measures for elderly chronic disease comorbidity
Authors: Wanqi Cui
Published: November 2024

Abstract. With the acceleration of global aging, chronic diseases have become a critical factor threatening the elderly population. This study analyzes the current status and intervention measures of treatment burden among elderly chronic disease comorbidity patients from economic, psychological, and social perspectives. Disparities between urban and rural areas, patient health literacy, and incomplete medical systems are key factors exacerbating this burden. Measures such as enhancing health literacy, optimizing medical insurance policies, promoting multidisciplinary diagnosis and treatment models, and improving home care can alleviate patient burdens. Future efforts should focus on the diversification and individualization of treatment burdens, equitable resource allocation, enhancement of patient self-management capabilities, and improvement of patient quality of life.
Self-assembling chimeric polypeptides as drug-carrying nanoparticles for anti-cancer chemotherapy
Authors: Huang Andrew
Published: November 2024

Abstract. Chemotherapy is often limited by unfavorable pharmacokinetics and pharmacodynamics that result in dose-limiting cytotoxicity. Therefore, self-assembling nanoparticles have been of particular interest to address these limitations by altering the physicochemical properties of payloads. Amphiphilic chimeric polypeptides (CPs) capable of versatile payload conjugation and spontaneous self-assembly into monodisperse micelles were designed, recombinantly synthesized, and characterized in this study. Doxorubicin (Dox) was also conjugated onto CPs to determine the effectiveness of pH-mediated release and the effects of payload conjugation on CP morphology. The designed CP consisted of a hydrophilic elastin-like polypeptide that enabled non-chromatographic polypeptide purification, an aspartic acid linker, a short Cys-rich segment for drug conjugation, and a hydrophobic domain that promoted the spontaneous formation of CP nanoparticles. Additionally, bio-orthogonal conjugation of chemotherapeutics onto CPs through short acid-labile chemical linkers enabled controlled pH-mediated release of conjugated chemotherapeutics and enhanced self-assembly. Results indicated that CP and Dox-CP nanoparticles had critical aggregation concentrations of 3.24 and 0.58 M and hydrodynamic radii of 57.09 and 72.86 nm, respectively. Dox-CP also released 76.8% of conjugated chemotherapeutics after 24 hours in late endosome pH and was effective against triple-negative breast cancer cells. These favorable characteristics and the independent self-assembly of the designed CP will enable targeted chemotherapeutic delivery regardless of payload hydrophobicity.
Evaluation of the safety of T-DXd in the Treatment of HER2-positive breast cancer
Authors: Cheng Nanxi
Published: November 2024

Abstract. Breast cancer (BC) is one of the most common diseases in women today, and HER2-positive BC has attracted the attention of researchers. Anti-her2 targeted therapy is an important tool in the treatment of HER2. In recent years, antibody-coupling drugs have entered people's field of vision and triggered a boom, and the research on T-DXd targeted therapy for HER2-positive BC is also gradually advancing and improving. This paper mainly discusses the mechanism of HER2-positive BC, explores the mechanism of action of T-DXd against HER2-positive BC, analyzes the side effects and safety evaluation of T-DXd targeted therapy for adult female patients with HER2-positive BC, and concludes that T-DXd is a relatively safe drug. However, it can be found that the pulmonary interstitial disease after treatment is a serious side effect that should not be ignored. Future studies can focus on discussing the principle of the side effect, ways to reduce the probability of its occurrence and more accurate and safe medication programs.