bluuebunny/crossref_metadata_2025 huggingface dataset:
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ИНВЕСТИЦИОННОГО ПОРТФЕЛЯ РОЗНИЧНЫХ ИНВЕСТОРОВ
Authors: М.Е. Коновалова , С.А. Жиронкин , Р.Р. Сагдеев
Published: November 2024

Формирование портфеля индивидуальным инвестором связано с поиском подходящих для него инвестиционных продуктов, которые отвечают требованиям по объему капитала, сроку инвестирования (инвестиционный горизонт), а также уровню риска (рассматривается риск рыночный и нерыночный/системный и несистемный риск). Формирование любого инвестиционного портфеля должно быть связано с ориентированием на конечный положительный результат. Статья посвящена анализу процесса формирования инвестиционного портфеля неквалифицированных розничных инвесторов в современных условиях. В ходе исследования рассмотрен генезис методов принятия инвестиционных решений на фондовом рынке, проанализирована эволюция российского рынка ценных бумаг и ключевые изменения на нем за 2014-2024 гг. Авторами выявлены корреляционные механизмы российского фондового рынка и обоснованы эффективные стратегии на рынке ценных бумаг для российского розничного инвестора.

Portfolio formation by an individual investor is associated with the search for suitable investment products that meet the requirements: in terms of capital volume, investment period (investment horizon), as well as the level of risk (market and non-market risk/systemic and non-systemic risk are considered). The formation of any investment portfolio should be related to the orientation on the final positive result. The article is devoted to the analysis of the process of formation of the investment portfolio of unqualified retail investors in modern conditions. The study considers the genesis of investment decision-making methods in the stock market, analyzes the evolution of the Russian securities market and key changes in it for 2014-2024. The authors identified correlation mechanisms of the Russian stock market and substantiated effective strategies in the securities market for the Russian retail investor.
РАЗВИТИЕ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ И ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ОБЛАСТИ PR И ЛОГИСТИКИ
Authors: Т.Б. Ерохина
Published: November 2024

В статье представлены преимущества повышения операционной эффективности в области PR и логистики, охарактеризовано поведение потребителей в условиях цифровой экономики, повышенной информатизации, активизации и информационной асимметрии в типологической линейке потребителей. Отмечается, что искусственный интеллект может помочь прогнозировать потребительские тенденции, предсказывать результаты лояльности и анализировать предпочтения типов потребителей, используя алгоритмы машинного обучения и данные социальных сетей. Резюмируется, что технологии цифровой трансформации способствуют развитию бизнеса, повышая операционную эффективность, конкурентоспособность и качество обслуживания клиентов, создание новых цифровых бизнес-моделей внутри существующего бизнеса или вынесение их в отдельный бизнес.

The article describes the benefits of increasing operational efficiency in the field of PR and logistics; characterizes consumer behavior in the context of the digital economy, increased informatization, activation and information asymmetry in the typological line of consumers; it is noted that artificial intelligence can help predict consumer trends, predict loyalty outcomes, and analyze the preferences of consumer types using machine learning algorithms and social media data; it is summarized that digital transformation technologies contribute to business development by increasing operational efficiency, competitiveness, and customer service quality, creating new digital business models within an existing business or moving them into a separate business.
ОСОБЕННОСТИ ФУНКЦИОНИРОВАНИЯ И РАЗВИТИЯ МАЛОГО БИЗНЕСА НА СОВРЕМЕННОМ ЭТАПЕ: ТЕОРЕТИЧЕСКИЙ АСПЕКТ
Authors: Е.В. Токарь , А.Н. Доценко , В.Д. Юрьев
Published: November 2024

Статья освещает актуальную проблематику, связанную с понятием и сущностью малого бизнеса в контексте современной экономической парадигмы. В статье отражены особенности функционирования малых предприятий, учитывая их роль в структуре национальной экономики. В ходе исследования был проведен анализ современных тенденций развития малого бизнеса, выявлены факторы, способствующие его успеху, а также препятствия, с которыми сталкиваются предприниматели. Статья имеет рекомендации, которые направлены на формирование более глубокого понимания сущности малого бизнеса с учетом современных вызовов и возможностей, также даются рекомендации для улучшения ведения бизнеса. В статье рассматриваются стратегические подходы и перспективы для стимулирования развития сектора малого бизнеса в России. Полученные результаты могут служить основой для разработки более эффективных стратегий поддержки и развития малых предприятий в условиях современной экономической ситуации.

The article highlights current issues related to the concept and essence of small business in the context of the modern economic paradigm. The article reflects the peculiarities of the functioning of small enterprises, taking into account their role in the structure of the national economy. The study analyzed current trends in the development of small businesses, identified factors contributing to its success, as well as obstacles faced by entrepreneurs. The article contains recommendations that are aimed at developing a deeper understanding of the essence of small business, taking into account modern challenges and opportunities, and provides recommendations for improving the conduct of business. The article discusses strategic approaches and prospects for stimulating the development of the small business sector in Russia. The results obtained can serve as the basis for the development of more effective strategies for supporting and developing small businesses in the current economic situation.
ИССЛЕДОВАНИЕ ФИНАНСОВО-ЭКОНОМИЧЕСКОЙ РЕЗУЛЬТАТИВНОСТИ РОССИЙСКИХ ПРЕДПРИЯТИЙ, ЗАНИМАЮЩИХСЯ ВТОРИЧНОЙ ПЕРЕРАБОТКОЙ СЫРЬЯ (НА ПРИМЕРЕ СМОЛЕНСКОЙ ОБЛАСТИ)
Authors: Д.Ю. Новиков
Published: November 2024

В статье автор рассматривает специфику отрасли вторичной переработки, а также обосновывает, что бизнес по сбору и переработке вторсырья сейчас уже является достаточно высококонкурентной нишей, что следует учитывать тем регионам, которые планируют развивать рециклинг, в том числе на основе механизмов государственно-частного партнерства. Хотя на господдержку могут рассчитывать в основном крупные организации, представленные региональными операторами, практика показывает, что из всех участников рынка они пока в меньшей степени заинтересованы в развитии схем рециклинга – для этого у них сейчас отсутствует какая-либо мотивация, и в первую очередь, экономическая. В то же время на рынке представлены малые и средние предприятия, которые заготавливают или перерабатывают сырье, и переработчикам удобнее работать именно с такими организациями, так как они получают чистое сырье, готовое для производства продукта. В рамках исследования автором проведен анализ финансово-экономической результативности региональных компаний, работающих по соответствующему виду ОКВЭД, на примере Смоленской области, где автором осуществляется практическая апробация проводимых научных изысканий, а также сделаны выводы о важности развития рециклинга для устойчивого развития российских регионов.

In the article, the author examines the specifics of the recycling industry, and also proves that the business of collecting and processing recyclables is already a fairly highly competitive niche, which should be taken into account by those regions that plan to develop recycling, including on the basis of public-private partnership mechanisms. Although large organizations represented by regional operators can rely on state support, practice shows that they are still less interested in developing recycling schemes among all market participants – they currently lack any motivation for this, and first of all, economic. At the same time, small and medium-sized enterprises that harvest or process raw materials are represented on the market, and it is more convenient for processors to work with such organizations, since they receive clean raw materials ready for the production of the product. As part of the study, the author analyzed the financial and economic performance of regional companies operating under the appropriate type of OKVED, using the example of the Smolensk region, where the author carries out practical testing of scientific research, and also drew conclusions about the importance of recycling for the sustainable development of Russian regions.
Synergistic Manipulation of Micro-Phosphorus and Sulphur Incorporation on Carbonaceous Cathode Endows Superior Zinc-Ion Storage Performance
Authors: Pan Anqiang , Zhang Genqiang
Published: November 2024

Aqueous zinc-ion hybrid capacitors (ZHCs) stand out as emerging electrochemical energy storage systems, combining the merits of low cost and impressive theoretical capacity. Nevertheless, unsatisfactory energy density and cycle life of ZHCs limit their widespread application. Herein, a simple one-pot approach was introduced to mitigate the issues through phosphorus and sulfur synergistically activated carbon nanosheets with hierarchically porous architecture (PS-HPCNS), deemed as a potential cathode candidate. The PS-HPCNS can show an excellent Zn-ion storage performance, including a high electrochemical capacity of 240.1 mAh g-1 under 0.2 A g-1, a decent energy density of 139.3 Wh kg-1 at 116 W kg-1, also a long cycle life over 50000 cycles with 84.6% capacity retention. Theoretical simulations combined with experimental analysis indicate that P and S dual-doping can enhance pseudocapacitance, significantly boost the interaction with Zn2+ ions and improve reaction kinetics. This work offers an appealing route to construct carbon cathode with superior zinc-ion storage ability and gives significant guidance towards advancing energy storage technologies.
Fundamentals and Perspectives of Poly(vinylidene fluoride)-based Electrolytes for Solid-State Lithium Batteries
Authors: He Yan-Bing
Published: November 2024

Solid-state lithium metal batteries are considered as viable energy storage technologies for high-energy-density and safe devices. Recently, poly(vinylidene fluoride) (PVDF)-based solid-state electrolytes with “Li salt-polymer-little bound solvent” configuration attract much attention. However, several dilemmas such as limited ionic conductivity and interfacial reactions with electrodes restrict their further advancement for practical applications. In this review, we summarized the fundamentals of the PVDF-based solid-state electrolytes including the physicochemical properties, the ion transport behavior in electrolytes and batteries, the interfacial chemistry with electrodes, the role of various fillers and the interactions between components in electrolytes to provide an in-depth and comprehensive understanding. Then, we highlighted significant strategies that toward practical applications based on our lab’s results and other publications from four aspects: increasing ionic conductivity of electrolytes, enhancing interfacial stability with electrodes, designing thin and robust electrolytes, building safe and high-energy batteries. At last, we provided our perspectives on the future development directions to push forward practical applications of the PVDF-based solid-state electrolytes.
Rapid Desolvation and Anti-Reduction Electrolyte Enables High-Performance Lithium Metal Batteries
Authors: Chen Long , Chen Gen
Published: November 2024

Lithium metal batteries (LMBs) have attracted widespread attention due to their potential for high-energy-density storage applications. However, the sluggish kinetics of traditional carbonate electrolytes at the electrode interface and severe side reactions between electrodes and electrolytes impedes the practical implementation of LMBs. Herein, we design a fast desolvation and anti-reduction electrolyte to achieve high-performance LMBs by tuning the solvation structure of Li+. The incorporation of bis(trifluoromethanesulfonyl)imide (TFSI−) and difluorophosphate (DFP−) anions into the solvation structure of Li+ mitigates the reactivity of the electrolyte with Li metal, promoting the anti-reduction capability of the electrolyte. In addition, the interaction between Li+ and solvent molecules as well as anions is weakened, which reduces the desolvation energy of Li+. Furthermore, the proposed anions can be preferentially sacrificed to form an inorganic-rich cathode electrolyte interphase (CEI), thereby inhibiting the oxidative decomposition of the electrolyte and the dissolution of transition metal (TM) elements. Therefore, the reversibility of the Li anode is improved to 97.8% and the Li||NCM622 cell exhibits a capacity retention of 78.3% after 250 cycles at 1 C. Even at a high loading or 3 C rate, the Li||NCM622 cells also demonstrate exceptional electrochemical performance.
Impact of New Media Publicity on the Improvement of the Situation of Migrant Women: Current Situation, Challenges and Prospects
Authors: Zhu Xinyuan
Published: November 2024

Abstract: Globalization has become a significant phenomenon in todays world, influencing various aspects of society. One area where its effects are increasingly apparent is in the challenges faced by migrant women. These women often find themselves in marginalized positions, encountering economic, social, and health difficulties. Additionally, they can hardly find efficient access to information and social support, leading to worse conditions. This paper explores how new media promotion can positively impact the lives and rights protection of migrant women through enhanced social media engagement. By employing literature review and case study methods, this study evaluates the effectiveness of different new media platforms in improving migrant womens living conditions. It investigates whether new media promotion can effectively raise social awareness among migrant women and enhance their working environment and health conditions. The findings indicate that new media promotion has substantially improved the protection of migrant womens rights and social participation through effective information dissemination and social interaction, though it also faces challenges related to information authenticity. This research is significant because it underscores the potential of new media to enhance migrant womens living conditions and rights protection, and it provides insights into how addressing information authenticity can further improve social participation and welfare support for this group.
The Future Trend of Chinese Primary and Middle Schools - No Private School Should Involve
Authors: Zhang He
Published: November 2024

Abstract: One of the main challenges currently facing China's education system and the development of educational equity is the divergence between public and private schools in terms of resource allocation, student choice and school management. This article examines China's relentless efforts to eliminate the participation of private schools in the compulsory education system in order to promote educational equity and reduce social disparities. The article discusses the cultural and economic difficulties encountered in the transition from private schools and the policies implemented to address them, such as public-private partnerships, conversion of private schools to public schools, and conglomerate education reform. While these policies represent important advances, challenges remain in ensuring that the public system can accommodate all students without sacrificing the quality of education. The Government also needs to continue to reform the education system while clarifying the importance of investment in order to create a more equitable and efficient public education system in China.
Study on the Role and Influence of Artificial Intelligence in the Field of Education
Authors: Zhang Haiyan
Published: November 2024

Abstract: With the development of artificial intelligence, AI intelligence education is a hot issue of concern to the whole society today, and it is also one of the key research topics today. Some researchers have found that the penetration of AI into education is rapidly increasing, but there is still a lack of a unified explanation for its impact. This paper analyzes the penetration and impact of artificial intelligence in the field of education. Found to analysis, artificial intelligence has a great role in promoting the development of education. But at the same time, the combination and popularization of artificial intelligence and education will also bring corresponding problems. Therefore, this paper suggests the rational use of AI, letting AI become the auxiliary tool rather than allowing AI to replace the work. At the same time, attention should also be paid to achieving true educational equity to promote a real balance between AI and education.
Research on the clinical application effectiveness of neurorehabilitation technology for stroke
Authors: Sun Jingxuan
Published: November 2024

Abstract. Stroke is one of the leading causes of death and disability in the world today, necessitating effective treatment options for patients. Brain-computer interface (BCI) technology, as one of the newly developed technologies, is gradually being incorporated into the rehabilitation treatment of stroke. At the same time, there are more evaluation indicators for the rehabilitation treatment of stroke using BCI, but related prognostic prediction methods still need further research. Therefore, the purpose of this study is to review the effects of the clinical application of BCI technology in neurorehabilitation for stroke. The results show that BCI technology has a positive clinical effect in the neurorehabilitation of stroke, improving patients quality of life and highlighting the importance of BCI technology for the neurorehabilitation of stroke. In the future, BCI technology will be further applied in the field of neurorehabilitation for stroke and combined with more technologies to achieve treatment for stroke and its various symptoms.
Innovative way for treating depression: The potential effects and mechanism of probiotics in coping with MDD
Authors: Zhang Yujie
Published: November 2024

Abstract. Depression is a multifaceted psychiatric condition affecting more than 280 million individuals globally across diverse age brackets, constituting 12.3% of the worldwide disease burden. Among the varied manifestations, Major Depressive Disorder (MDD) stands out as a prevalent and severe form of psychopathology. The origins of depression, while not fully elucidated, are generally attributed to the intricate interplay of environmental, societal, and individual factors. Recent preclinical and clinical investigations have posited a potential association between dysbiosis, characterized by alterations in gut microbiota composition and function, and the initiation and progression of depression. Nevertheless, the precise mechanisms remain unclear, and the gut microbiota has not been a primary focal point in depression therapeutic strategies. This review outlines conceivable mechanisms linking dysbiosis in the gut microbiota to the development of depression, elucidating the intricate relationship between dysbiosis and depressive conditions. Additionally, it explores the interplay between pharmacological interventions and the gut microbiota in the context of antidepressant therapy. Simultaneously, the article investigates the potential and merits of probiotics and prebiotics as tools to modulate gut microbiota and maintain a stable gut microenvironment, positioning them as innovative agents in antidepressant therapy. This perspective introduces a novel trajectory for future research and clinical approaches in depression, underscoring the significance of preserving gut microbiota equilibrium as a promising avenue for intervention.
Relationship between diet and chronic obstructive pulmonary disease
Authors: Zhu Weiwei
Published: November 2024

Abstract. Chronic Obstructive Pulmonary Disease (COPD) is one of the primary global epidemics and a growing healthcare problem. In addition to the influence of common risk elements such as cigarette smoking and contamination of the environment on COPD, diet is increasingly recognized as one of the influencing factors of COPD, and academics have identified that diet is an indispensable portion of the COPD process from its prevention to its treatment. This review provides an overview of the relationships between different types of dietary patterns, specific nutrients, specific foods, and COPD across the three dietary classifications. It also analyzes the mechanisms of influence and provides evidence and conclusions from previous relevant studies. The review finds that the healthy dietary pattern, the Mediterranean dietary pattern, and the partially vegan dietary pattern can reduce the risk of COPD; meanwhile, the foods (e.g., fruits, vegetables, and fish) and the nutrients (e.g., dietary fibers, antioxidants such as vitamin C and vitamin D) these dietary patterns contain can also reduce the risk of COPD; while the Western dietary pattern and the foods they contain (e.g., red or processed meats, sweet food) increase the exposure of COPD; however, there is no substantial evidence for the effect of the mineral Magnesium on COPD.
Motion intensity evaluation algorithm under fuzzy observer
Authors: Li Momo , Wang Zeyuan
Published: November 2024

Abstract. With the progress of society and the improvement of people's living standards, people's requirements for physical fitness are also increasing. Especially for middle-aged and young men, they often need to work at their desks for a long time in their daily work and life, and their physical fitness is relatively poor, making them prone to various diseases. Therefore, this article focuses on the study of motion intensity evaluation algorithms based on fuzzy observers. By classifying human motion intensity and establishing corresponding fuzzy observers, the difference between the output of the fuzzy observer and the set value is used to determine whether the human motion intensity is too high or too low. The research results indicate that the fuzzy observer has a good performance in evaluating exercise intensity, with an evaluation accuracy of up to 94%.
Mass spectrometry imaging metabolomics reveals the metabolic spatial heterogeneity in gastric cancer
Authors: Wang Chuyun
Published: November 2024

Abstract. Gastric cancer is the second leading cause of cancer-related deaths in the world. It is estimated that gastric cancer would cause 12,000,000 deaths by 2030. Gastric cancer diagnosis in its early stages is often challenging due to the lack of specific symptoms, while early diagnosis is pivotal to patient survival. The discovery of tumor-specific biomarkers plays a crucial role in effectively diagnosing gastric cancer. Metabolomics-based approaches provide qualitative and quantitative measurements of the metabolic signatures that are unique to cancerous tissue. Recently, mass spectrometry imaging (MSI)--based metabolomics enables untargeted investigation of molecular species concerning spatial distribution across tissues, elucidating the heterogeneity of gastric cancer. In this study, a computational imaging segmentation-based pipeline that analyses the spatial distribution of metabolite for gastric cancer using MSI metabolomics data is developed, which leads to the discovery of differentially expressed metabolites and the identification of biomarkers across different tissue subtypes in gastric cancer.
PARP inhibitor drugs and their targeted therapy for BRCA gene mutations
Authors: Zhang Yihan
Published: November 2024

Abstract. Poly ADP-Bibose polymerase (PARP) inhibitors have attracted wide attention as a new class of anticancer drugs. PARP inhibitors act by blocking PARP binding to sites of DNA damage, leading to failure of DNA repair and ultimately leading to apoptosis of tumor cells. In recent years, PARP inhibitors have achieved remarkable clinical results in a variety of cancer treatments, especially in BRCA mutation-associated breast and ovarian cancer treatments. The application of these PARP inhibitor drugs has significantly prolonged the survival of patients associated with BRCA mutations and improved the quality of life of patients. The limitations of PARP inhibitors are mainly manifested in two aspects: first, their specificity for PARP-1 is not high enough to lead to side effects after taking drugs; second, patients may develop resistance during long-term use of such drugs. In this paper, the mechanism of action of PARP inhibitors is reviewed, and deeply analyzed the chemical structure and efficacy of Olaparib, Niraparib and Rucaparib drugs, which provided a useful reference for subsequent clinical research and drug development.
A novel interpretative deep neural network with Grad-CAMs heatmap for the early diagnosis of Alzheimers disease
Authors: Yao Annabelle
Published: November 2024

Abstract. In recent years, Alzheimers disease, a disease which targets the patients cognitive abilities and causes dementia, has become increasingly prevalent among the older population. Clinical practice today diagnoses the disease through MRI imaging and cognitive tests based on individual doctors personal experience. This reliance on varying doctoral experiences poses a huge challenge in during its early stages, when the symptoms are subtle and hard for clinicians to discern. As a result, many elderly today are only diagnosed when the disease has already progressed into a later, much obvious stage, significantly reducing their chance of receiving effective treatments. In our work, we applied a novel method in Alzheimers disease early diagnosis. Our unprecedented method uses a state-of-the-art image recognition model, a Vision Transformer (ViT), combined with a saliency map, Grad-CAM, to increase interpretability and alleviate the black box issue in the predicted results. We trained the ViT with ADNI imaging datasets and conducted similar experiments with other popular models for machine learning as baselines for performance comparison. The results show that our model has delivered the best performance out of all traditional methods, with an astonishing 99% accuracy. Compared to an average accuracy of 96% by other commonly used models for data prediction, our method has improved the final prediction accuracy to 3 standard deviation range, thereby accounting for almost all the possible outliers. These breakthroughs, paired with the website we created to increase the models reach, will prove to be a revolutionary contribution to the field of Alzheimers disease diagnosis.
The effects of different VOCs on blood cells and biochemical parameters
Authors: Wang Minqi
Published: November 2024

Abstract. Volatile organic compounds (VOCs) poses serious hazards to the human body. Since 2010, the World Health Organization has been aware of the hazards of VOCs and has established quantitative standards for indoor air toxic substances that have an impact on physical health in the Indoor Air Quality Guidelines released that year. In animal model experiments, studies have shown that VOC leads to increased liver weight, liver damage, endocrine disorders, and blood related diseases. The relationship between human related blood and liver indicators and VOCs has thus received attention. Also due to the different types of VOCs, the mechanisms of their impact on the human body may vary, depending on the type of compound and the level of exposure to pollutants over time. This study comprehensively considered the possible effects of different types of VOCs on biochemical indicators and blood cells, then identified the various effects of different types of VOCs on biochemical indicators, aiming to explore the responding mechanisms of toxicity caused by different VOCs.
Current role of gut microbiome in Alzheimers disease
Authors: Zhang Xinyu
Published: November 2024

Abstract. One of the most common forms of dementia is oestrus dementia, which is primarily characterized by cognitive subversion and neural trance. The most obvious pathology is the strong metal disc and neurogenetic fibbers. In recent years, many studies have shown that the intestinal flora in with the change of the AD's development also brings certain effect, play some role. Our bodies are home to many microorganisms, as well as many other fungi (bacteria, fungi, arthritis, and viruses). They can act either as a host or as a neutral or pathological part of the body, taking on both physical and pathological functions. Among them, 95% of microorganisms inhabit the gastrointestinal tract in an intricate ecological colony state, collectively known as the intestinal microbiota. Gut microbiota can affect the blood-brain barrier (BBB) and neurogenesis. If it is more severe, it can lead to neuroinflammation. Sterile study in mice shows that lack of gut microbiota mice increased permeability of blood brain barrier and brain function has changed. Additionally, gut microbiome-targeted therapies, such as GV-971, have shown promise in animal models by modifying gut microbiota composition, reducing neuroinflammation, and improving cognitive function. These findings suggest that modulating the gut microbiome could offer novel therapeutic strategies for AD This emphasizes the need for further research in this area to develop effective treatments.
Research progress on the role of -glucan in obesity suppression through the gut microbiota
Authors: Yan Fangmeiling
Published: November 2024

Abstract. Globally, the prevalence of chronic illnesses is on an upward trajectory. With the number of patients suffering from hypertension, cardiovascular diseases, or obesity rising globally. worlds population will be severely affected in their daily lives and work. Metabolic dysregulation caused by obesity can likely lead to a series of metabolic diseases such as hypertension, hyperlipidemia, and diabetes, while also increasing the risk of neurological disorders such as cerebral infarction or hemorrhage. numerous studies have shown that regulating the gut microbiota through the consumption of -glucan can effectively address obesity from multiple perspectives. Therefore, researching the mechanism by which -glucan affects chronic diseases through its action on the gut microbiota holds significant implications for the prevention and treatment of chronic diseases.
VisRNA: Interactive web server for scRNA-seq data analysis to discover therapeutic targets for non-small cell lung cancer
Authors: Ma Xingchuan
Published: November 2024

Abstract. Motivation: Non-small cell lung cancer (NSCLC) is a leading cause of lung cancer diagnoses and mortality worldwide. Single-cell RNA sequencing (scRNA-seq) has transformed our molecular understanding of cancer by revealing gene dysregulation in individual cells. This granularity allows the discovery of new therapeutic targets, promising NSCLC treatment strategies. Method: The study introduces VisRNA, a Python-based web application for analyzing scRNA-seq data statistically and functionally. VisRNA uses advanced machine learning algorithms to reduce multiple dimensionalities in scRNA-seq data and automatically annotate cell types. This method allows gene expression analysis across NSCLC tumor cell populations. Results: VisRNA analysis of NSCLC scRNA-seq datasets identified 14 distinct cell types with distinct gene expression patterns. VisRNA found several significantly differentially expressed genes in these cell populations that could be therapeutic targets. The application ranked drug candidates by molecular docking simulation performance, indicating potential efficacy against targets. Conclusion: VisRNA is a powerful tool for identifying new therapeutic targets and drug candidates for NSCLC, highlighting a significant advancement in scRNA-seq data analysis. VisRNA helps understand the diseases molecular basis by examining gene expression in individual NSCLC tumor cells, which may lead to better treatments.
Association between the BMI and depression symptoms in the U.S. older adults base on NHANES
Authors: Li Kexin
Published: November 2024

Abstract. Depression ranks among the most prevalent mental health conditions globally, with major depression being more common in elder people. Nonetheless, the link between depressive symptoms and body mass index (BMI) remains ambiguous. The purpose of this study was to investigate the correlation between BMI and symptoms of depression in American elders. In this paper, a cross-sectional study was conducted involving 7,769 participants aged 60 years or older, with all data collected from the 2005-2016 National Health Survey (NHANES). We employed a multivariate logistic regression analysis to evaluate the association between levels of BMI (as independent variables) and presence of symptoms of depression (as outcome variables). Depressive symptoms were primarily assessed using the Patient Health Questionnaire (PHQ-9). Additionally, in this paper, several sensitivity analyses are performed to verify the robustness of our findings. After adjusting for covariates, the final model shows the ORS(95%CI) of underweight and obese people are 1.52(0.78,2.98) and 1.34(0.94,1.93), respectively. And there is a non-linear and U-shaped relationship between the BMI and the depressive symptoms. Both underweight and obese people have a higher incidence of depression in elder people. To validate the association between depression and weight and their causal link, more research is required.
The influencing factors and countermeasures of low fertility in China
Authors: Zhang Ruiyang
Published: November 2024

Abstract. Fertility helps maintain the stability of the population and social security to ensure the continuation of economic growth. However, low fertility rate is becoming a problem that plagues the world, which has become particularly serious in China. The relevant research data have shown that the low fertility in China are associate with the changes of physical health status, and survival and social environments. Unless the relevant factors affecting the fertility rate are improved at some stage in the future, these impacts cannot be eliminated in a short time since the low fertility continued over time. Therefore, some measures to improvement of personal physical health, such as forbidden overload work to prompt diseases recovery. In this review, the author explores Chinas population health issues through analyzing the influence factors for Chinas declining in fertility rate, aiming to rise people awareness of this important population issue, and provide some possible suggestions to promote population growth by increasing the number of new births.
Progress in immune-targeted combination therapy for melanoma
Authors: Wang Yike
Published: November 2024

Abstract. Melanoma is a type of skin cancerous tumor that develops from melanocytes and often appears on the skin's surface, however it can also spread to other areas like the eyes and mucous membranes. Research on it has made significant progress in recent years. Immunotherapy has become an important means of treating melanoma. The use of anti-CTLA-4 and anti-PD-1/PD-L1 antibodies has achieved significant success, so some patients have achieved long-term survival. benefit. Secondly, there have been breakthroughs in targeted therapeutic drugs targeting specific molecular targets such as BRAF and MEK. It has the ability to successfully stop melanoma cells from growing and spreading. Despite significant advances in immunotherapy and targeted therapies, drug resistance remains a serious problem; metastasis of melanoma is one of the main causes of its lethality, but little is known about how melanoma cells metastasize to other organs There are still many unanswered questions about the mechanism. This article compares the benefits of immune-targeted combination therapy with immunotherapy alone. It also immunotherapy and targeted therapy alone. It comes to the conclusion that combination therapy is the best course of action. The mechanism of action, effectiveness and drawbacks of drug resistance of the targeted therapy drug Vemurafenib were also introduced, further confirming the 1+1>2 treatment plan. Combination therapy provides new ideas for future cancer medicine, but the drug resistance of some targets needs to be solved, and subsequent research can focus on the development of new targets.
Mechanism of Astragalus polysaccharides (APS) improving myelosuppression and exerting anti-tumor effects during radiotherapy and chemotherapy
Authors: Li Jiani
Published: November 2024

Abstract. Chemoradiotherapy, as a routine method of anti-tumor treatment, is accompanied by severe adverse reactions such as myelosuppression. It not only hinders the treatment process but also reduces the quality of life of patients. Therefore, effective prevention and treatment of myelosuppression during radiotherapy and chemotherapy is an extremely important issue that needs to be addressed in clinical practice. The commonly used method for preventing and treating myelosuppression during radiotherapy and chemotherapy is medication intervention. Human granulocyte colony stimulating factor(Human G-CSF) is the preferred drug, while modern Chinese medicine preparations are used as adjunctive therapy. There are still certain limitations in the clinical use of Human G-CSF, so research on the unique role of modern Chinese medicine in this regard has gradually received attention. By consulting literature, we took Astragalus polysaccharide (APS), a traditional Chinese medicine extract that has been proven to have relevant preventive and curative effects in existing studies, as an entry point to explore the mechanisms involved in the modulation of the signaling pathway by APS to play a role in improving the myelosuppressive and anti-tumour effects. This study aims to explore the mechanism by which APS participates in regulating signaling pathways to improve myelosuppression and anti-tumor effects. Some of its mechanisms are closely related to traditional Chinese medicine theory. This article will briefly discuss them in order to provide some inspiration for expanding drug selection in clinical practice and further conducting related research.
Therapeutic effect and mechanism of action of geniposide in rheumatoid arthritis
Authors: Ouyang Yaxi
Published: November 2024

Abstract. Rheumatoid arthritis is a systemic autoimmune disease with persistent, symmetric and polyarthritis as the main clinical manifestations, which can improve the risk of cardiovascular disease and lymphoma. Untimely or inadequate treatment will result in a high rate of disability. In the context of the development of Chinese medicine modernisation, in order to explore the therapeutic effects and mechanisms of the diseases, researchers have extracted the active ingredients of Chinese herbal medicine for experiments. Geniposide through modern research found that it has anti-inflammatory analgesic and other effects, and has therapeutic effect on rheumatoid arthritis. But at present for geniposide's action mechanism and the pathogenesis of rheumatoid arthritis are not completely clear. This paper analyses the geniposide anti-inflammatory effect and analgesic effect aspect research, finds that geniposide can have a therapeutic effect on rheumatoid arthritis through anti-inflammatory analgesic effect. At present, the mechanism of action of geniposide against rheumatoid arthritis has not been fully defined, and geniposide has hepatotoxicity and many uncertainties in high concentrations, so it is of great significance to explore its action mechanism and provide theoretical reference for the new drugs development to treat rheumatoid arthritis. The future research can pay more attention to explore the geniposide anti-inflammatory effect on the cell signalling pathway mainly embodied in a specific target, as well as geniposide development as a new drug possible direction.
B cells abnormalities in asthma
Authors: Wang Zinuo
Published: November 2024

Abstract. Asthma is a chronic inflammation in the respiratory tract, which is an abnormal immune response of type I allergic reaction with elevated IgE levels. The abnormality of B cell contributing to asthma development has not been elucidated completely. Recently, data from different research groups showed that both CD27+CD38+ plasmablasts and CD24hiCD38hi transitional B cells are capable to induce the production of IgE antibody. In contrast, Bregs is crucial for inhibiting type 2 inflammation through secreting cytokines IL-10 in asthma patients of both children and adults. With the advancement of high-throughput sequencing and analysis technology in recent years, there has been further displaying of the association between B subgroups and asthma besides Breg and plasmablast subsets. This article briefly summarized the pathogenesis and pathological progression of Breg cells in animal models and patients of asthma, with a particular focus on high-throughput sequencing revealing new mechanisms and diagnostic
Exploring the role of the TLR4/NF-B signaling pathway in diabetic retinopathy
Authors: Zhang Tian
Published: November 2024

Abstract. Diabetes mellitus (DM) is a major cause of blindness and the neurodegenerative and microvascular disease known as diabetic retinopathy (DR). Diabetes-related retinal neurodegeneration (DRN) is thought to be a potential therapeutic target for primary or secondary prevention of traditional DR while the exact nature of the link between DRN and diabetic retinal vasculopathy (DRV) is still unknown. Therefore, compared with the DRV, in-depth study of DRN may provide a better understanding of this important cause of blindness. Immunoinflammatory mechanisms are currently believed to play crucial role in the occurrence and development of DR. Interrelated molecular pathways, such as the formation of glycosylation end products and oxidative stress (OS) in late diabetes, contribute to the inflammatory response. Furthermore, blocking the TLR4/NF-B signaling pathway has been shown to be an effective way to reduce DR, as demonstrated by a number of studies. This paper examines the function of the inflammatory response and TLR4/NF-B signaling pathway in the pathophysiology of DRN, which may offer fresh perspectives on DR therapy.
Current trends and ethical considerations in gene therapy
Authors: Ding Weiqi
Published: November 2024

Abstract. This paper explores the advancements, applications, and ethical challenges associated with gene therapy, a transformative approach to treating genetic disorders. Gene therapy corrects genetic defects at the molecular level, offering potential cures for diseases previously considered intractable. Techniques like CRISPR-Cas9 have revolutionized this field by enabling precise genetic editing. We discuss both ex vivo and in vivo methods, highlighting their applications in treating diseases such as sickle cell disease and inherited blindness. However, the implementation of gene therapy raises significant ethical and safety concerns, including the risks of germline modifications and the high costs limiting access. Safety concerns associated with viral vectors, such as potential oncogenesis and immune reactions, are also examined. The paper calls for evolved regulatory frameworks to ensure safe, ethical, and equitable access to gene therapy, underscoring the need for ongoing public engagement and education to navigate the complex landscape of genetic medicine. This study concludes that while gene therapy holds great promise, it requires evolved regulatory frameworks to ensure safe, ethical, and equitable access. Ongoing public engagement and education are essential to navigating the complex landscape of genetic medicine.
Applications of iPSC technology in Alzheimer's disease
Authors: Guo Yiran
Published: November 2024

Abstract. iPSC technology has become an invaluable tool for treating Alzheimers disease (AD). AD is a neurodegenerative disease that imposes major burden on the economy. This paper aims to summarize the hypotheses for the cause of AD, the mechanisms of iPSC technology, and the clinical applications of iPSC in AD. There are many hypotheses for the cause of AD, including Genetic mutation of genes coding for Amyloid Precursor protein (APP), presenilin 1 (PS1) and presenilin 2 (PS2), phosphorylated Tau protein, etc. There are many methods of improving the safety and efficiency of iPSC generation, including the exploration of new host cells, new transcription factors, and the incorporation of new technology like CRISPR into the generation process. iPSC modeling is a critical tool for AD treatment. iPSC is an efficient method of generating stem cells whilst also possessing less ethical concerns compared to other stem cell generation methods. iPSC modeling allows researchers to test treatment options outside of the patients body before administering the treatment method to the patient. As of current, iPSC cell therapy does not possess sufficient data for human trials. Future studies aim to develop new technologies and collect data required to launch iPSC cell therapy in clinical trials.
The impact on prevention and control strategies for HIV/STIs from COVID-19 pandemic to post-pandemic period in Southern China(2020-2023): A literature review
Authors: Liao Wenyu
Published: November 2024

Abstract. To analyze the impact of the COVID-19 pandemic on the prevention and control strategies for HIV and sexually transmitted infections (STIs) in Southern China. It seeks to understand how the pandemic affected the management of these infections and make a better preparation for the next COVID-19-like situation. This literature review was conducted by analyzing data from 4 databases, focused on epidemiological characteristics before and after 2020, changes in health policies, resource redistribution, and the implementation of prevention measures during the pandemic. The results indicate that COVID-19 prevention was prioritized, leading to challenges in the management of HIV and STIs due to resource redistribution and pressures on the healthcare system. Despite these difficulties, some innovative approaches used in the COVID-19 prevention emerged to address the gaps, including the use of e-medicine and targeted community outreach which helps to compensate for the negative impacts on HIV/STI control. This review highlights the necessity of developing new strategies with innovative technologies that can balance the control of multiple infectious diseases during global health crises, ensuring that critical health services remain effective even in times of widespread disruption.
Review of the application of CRISPR/Cas9 in Axon regeneration
Authors: Bian Yukun
Published: November 2024

Abstract. Neurological mechanistic or pathologic damage is often accompanied by neuronal loss. Although this loss is universally considered as irreversible, nervous system possessing a series of compensatory self-repair mechanisms after injury, one is axon regeneration. However, they are restricted by alterations in the microenvironment and multiple suppressors. Therefore, enhancing axonal regenerative capacity to improve plasticity after central nervous system injury has become a critical issue. Previous studies have shown high feasibility and application value of CRISPR/Cas9 in promoting neuronal axon regeneration. This article aims at evaluating the applicability and effectiveness of CRISPR/Cas9 and its derivative method, CRISPR activation system, when it comes to treating central nervous system injuries. Three main routes were reviewed here, including large-scale screening of related genes in vivo, promotion of endogenous neurotrophic factor expression and induction of reprogramming glial cells into neurons. Besides, considering the delay in protein knockdown with the Cas9 system and other shortcomings, its potential application such as improving the local microenvironment post-injury should not be neglected.