bluuebunny/crossref_metadata_2025 huggingface dataset:
FREQUENCY OF ELECTROLYTE ABNORMALITIES IN PATIENTS WITH DECOMPENSATED CHRONIC LIVER DISEASE
Authors: ULLAH M , MAAZ . , RASHID MF , ALI I , NIAZ M , KAMRAN M
Published: December 2024

Electrolyte abnormalities, particularly those involving sodium, potassium, magnesium, calcium, and phosphate, are commonly observed in patients with decompensated chronic liver disease (DCLD). Objective: The basic aim of the study is to find the frequency of electrolyte abnormalities in patients with decompensated chronic liver disease. Methodology: This cross-sectional observational study was carried out at Lady Reading Hospital, Peshawar, from January 2024 to May 2024. The study included a total of 235 patients diagnosed with decompensated chronic liver disease. Patients aged >18 years with a confirmed diagnosis of chronic liver disease in the decompensated stage, characterized by complications such as ascites, variceal bleeding, or hepatic encephalopathy. Results: Data were collected from 235 patients with a mean age of 52.3 ± 10.4 years, with a male predominance (59.6%). Common comorbidities among participants included hypertension (45.5%), diabetes mellitus (30.6%), and chronic hepatitis C infection (60.9%). These underlying conditions highlight the complex health profile of patients with decompensated chronic liver disease, which may further influence electrolyte imbalances and overall disease outcomes. Sodium levels deviated from the normal range in 67.2% of patients, with hyponatremia observed in 60.9% (mean sodium level 132.5 ± 6.3 mmol/L) and hypernatremia in 6.4%. Potassium abnormalities were found in 49.4% of patients, with 37.0% exhibiting hypokalemia and 12.3% showing hyperkalemia (mean potassium level 4.0 ± 0.7 mmol/L). Hypocalcemia was prevalent in 44.3% of patients, with an average calcium level of 8.0 ± 0.6 mg/dL. Hypomagnesemia and hypophosphatemia were less common but still present in 25.1% and 20.4% of patients, respectively. These abnormalities underscore the need for vigilant electrolyte monitoring in DCLD patients. Conclusion: It is concluded that electrolyte abnormalities are highly prevalent in patients with decompensated chronic liver disease and are strongly associated with increased disease severity, complications, and poor outcomes.
Research on the Identity Reconstruction and Adaptation Strategies of Chinese Students Overseas in a Cross-Cultural Context
Authors: Zheng Jingxi
Published: December 2024

The "Blue Book Report on China's Overseas Study Development 2023-2024" shows that, according to UNESCO's latest data, there were 1.021 million Chinese students studying at overseas higher education institutions in 2021, ranking first globally. Cross-cultural communication among students abroad was an important topic of globalization. This paper looks at Chinese students' identity and how they adapt to cross-cultural talks abroad. With globalization, more Chinese students paper overseas, facing both challenges and chances. Using quality research, it analyzes their mental changes, ways to adapt, and how these affect their studies, social life, and plans. It finds that by joining in studies, socializing, and cultural events, Chinese students slowly change how they see themselves and their place in society and culture. Differences in culture, language trouble, social help, relationships, and plans all shape their adaptation. The paper shows that being open, learning languages, making friends, setting clear goals, and being good at cross-cultural talks help Chinese students deal with challenges and form a strong sense of who they are.
The Disinformation Link: A Discussion of How Global Citizenship Education Contributes to Global Political Stability
Authors: Chen Zhaoyu
Published: December 2024

The threat of Social Polarization and disinformation is growing in these post-pandemic times, threatening the political stability and social cohesion of the world, and education has become an option to address this crisis. This paper examines Global Citizenship Education (GCE)s ability to counteract disinformation and Social Polarization (SP) using media and literacy training (MIL), as previous studies on these topics rarely address their direct relationships. The finding suggests that there is a strong probability that MIL, under the guidance of the GCE framework, has the capability to mitigate disinformation and, in turn, SP. However, due to limited evidence in the area, this paper is unable to confirm the relationship between SP and Global Political Stability. Despite this, this paper still offers a unique perspective on GCE, which helps set the stage for future studies to explore related topics. The insights derived from this paper are valuable for various actors and researchers, which could help contribute to a more stable, peaceful global society.
The Impact of the Promotion of Temple Development on the Economic Situation of the City
Authors: Wang Jiayu
Published: December 2024

This paper examines the multifaceted economic contributions of Buddhist temples in Singapore, focusing on their ability to generate tax revenue, attract tourists, and attract immigrants. Using sociological and statistical methods, including regression analysis, the study quantifies the direct economic impact of temples, such as their role in increasing tax revenue, boosting tourism, and enhancing the attractiveness of the city-state as a hub for immigrants. In addition, the study delves into the indirect impact of these religious sites, in particular their role in promoting social cohesion, preserving cultural heritage and promoting community engagement. In Singapore, Buddhist temples are not only an integral part of the city's religious and spiritual life, but also part of the socio-cultural fabric, providing important services such as educational programs, charity work and Spaces for intercultural exchange. These contributions reflect the temple's deep-rooted influence on the local community and the wider social framework. However, the paper raises concerns about the growing problem of over-commercialization of religious sites, especially in China, where the trend is more pronounced.
Social Support for Depression Groups in the Online Environment: The Effectiveness of Information
Authors: Wu Liang
Published: December 2024

Significant increase in interactivity distinctively characterizes the field of health communication on social media. This implies that users are able to engage in more intense interaction activities with other users on the platform. The nature and content of users' questions can potentially play a decisive role in determining the rate at which they receive social support. Currently, an in-depth analysis has been carried out on the content of the largest depression community in China. With a total data support of 2,000 comments, the focus of this analysis is on exploring the relationship between threats and efficacy within the content and social support. The results demonstrate that the comment content is predominantly question-based comments. In contrast, emotional comments are relatively fewer in number. Additionally, it has been found that content with high threat and low efficacy is more likely to receive greater social support. Furthermore, some practical and possible suggestions are put forward for the improvement of China's depression public communication platform. This could involve enhancing the platform's functionality to better facilitate interaction and support among users, as well as providing more targeted resources and information for those dealing with depression.
On Ouyang Xiu's Reception of Han Yu's Classical Poetry
Authors: Yang Yuqi
Published: December 2024

This paper focuses on the Ouyang Xiu's evaluation and reception of Han Yus classical poetry and intend to reveal the influence of Ouyangs reception. Both Ouyang Xiu and Han Yu were influential poets, and it seems that by following Han Yus poetry creation Ouyang Xiu promoted the innovation of poetry. In summary, Ouyangs reception of Han Yu's classical poetry can be divided into three main aspects: directly borrowing Han Yus poetic phrases, imitating Han Yu in terms of theme and subject matter, and inheriting and promoting Han Yus method of "using prose as poetry." Ouyang had a great influence on poets of Song dynasty through his creations, which changed the content and enriched the theme of Song poetry. Ouyang Xius emulation of Han Yu not only highlighted the exemplary nature of Han Yu's poetry but also promoted its widespread acceptance. Ouyang Xius study of Han Yu marked a critical point in the transformation of early Song poetic style.
Semantic Universal in Written Suicidal Ideation Through the Lens of Camusian Absurd
Authors: Hao Yiqiong
Published: December 2024

This exploratory study focuses on linguistic markers of existential distress in written suicidal ideation, examining suicide notes through the philosophical lens of the Camusian Absurd and proposing that suicidal communication reflects the existential tension between a search for meaning and an indifferent reality. By identifying recurring themes of despair, alienation, repetition and cognitive dissonance, the research suggests that the Camusian Absurd could be considered as a semantic universal in written suicidal ideation. Qualitative discourse analysis and quantitative semantic coding are combined to investigate three suicide notes from culturally diverse backgrounds: a young Chinese girl, an Urdu-speaking son, and an English-speaking woman. This study also lays the groundwork for developing the Camusian Absurd in Suicidal Communication Analyzer (CASCA), a proposed tool to analyze existential despair in written suicidal ideation. Future research may extend this approach with natural language processing to explore larger datasets, treating suicidal ideation as a genre to deepen interdisciplinary understanding of existential distress in suicidal communication.
Animal Anthropomorphism in Chinese Social Media and Audience Acceptance: A Case Study of Animal Mukbang
Authors: Liu Xinyang
Published: December 2024

This study aims to explore the anthropomorphic elements represented in animal mukbang videos on Chinese social media (Douyin and Xiaohongshu), as well as the relationship between pet ownership and audience acceptance of various anthropomorphic elements. First, this study summarized the types of anthropomorphic elements in animal mukbang videos on two platforms through content analysis. Second, this study designed a questionnaire based on the content analysis results and investigated the audience acceptance of different anthropomorphic elements. The results showed that on both platforms, the anthropomorphic elements in animal mukbang mainly included Clothing, Expression, Communication, Diet style, Use of tableware, Dining environment, Use of microphone, Feeling about food, Inner activities and Unique character and identity. In addition, pet ownership has a different influence on audience acceptance of different anthropomorphic elements. Although this study illustrates the audience acceptance of anthropomorphism in the context of animal mukbang, the relationship between anthropomorphism and a wider category of audiences, as well as the rationality of animal anthropomorphism in various media, still needs further research.
The Reconstruction of Female Images in the TV Drama The Story of Rose and Its Social Significance
Authors: Qi Wen
Published: December 2024

In contemporary society, the portrayal of female image holds an increasingly significant role in cultural products. As a major entertainment medium, TV dramas reflect social values while subtly shaping viewers perceptions of gender and identity. With the increasing emphasis on gender equality in society, the re-imagining of womens identities in the new era has become particularly critical. As a prominent television drama, The Story of Rose presents a spectrum of female images, capturing the nuances of womens experiences across different social contexts and cultural frameworks. Through the theoretical framework of communication studies, the study analyzes the construction of multiple female characters and their interrelationships in The Story of Rose. These characters showcase a rich and diverse array of female experiences, reflecting gender performance within specific historical and social contexts. Using textual analysis, this study deconstructs the character traits and behavioral motivations of the female characters, as well as their interactions with the male characters in the drama. Meanwhile, the audiences acceptance and identification with these female characters are explored, thus revealing how the drama shapes the audiences gender perceptions and its potential impact. The results indicate that the female characters in The Story of Rose reflect the evolving characteristics of the times, and address the contemporary audiences expectations and needs for female reconstruction. Their performance in different contexts highlights the multiple identities and challenges that people face in the workplace and in society.
Evaluating the Impact of Environmental Policy Dissemination Channels on Public Acceptance
Authors: Yu Ziyue
Published: December 2024

This research investigates the effectiveness of different digital platforms and accounts in promoting public acceptance of environmental policies. Applying the Diffusion of Innovation Theory, we conducted an extensive content analysis to evaluate public engagement with environmental policy-related content across various online channels. Our hypothesis suggests that official platforms and accounts may lead to higher public acceptance than alternative sources. The studys findings emphasize the significance of NGO-managed social media platforms in fostering public engagement and motivating environmental action, as users perceive these channels to be more trustworthy, accessible, and relatable. Interestingly, while official accounts provide authoritative information, NGO platforms excel in creating interactive and personalized content that resonates with the public. This suggests that a well-balanced communication strategy combining authoritative and relatable elements could better engage audiences and promote sustainable behaviors. The results underscore the potential for digital channels, especially those managed by NGOs, to play a critical role in advancing environmental awareness and policy acceptance.
Peoples Character and National Identity: The Role of the 1955 European Tour of the Chinese Classical Dance and Music Troupe in Promoting New Chinas Diplomacy
Authors: Hao Shuang
Published: December 2024

In 1955, the Chinese Classical Theatre Troupe toured Europe in two groups, attracting significant interest from local audiences and introducing the art of New Chinese opera to the European media. European newspapers and periodicals consistently reported on the performances of Chinese opera through news articles, special features, and drama reviews, thereby establishing an artistic image of China with distinctive characteristics and illustrating the methods and characteristics of shaping the image of New China. This study, utilizing collections from the troupes tour, oral histories, overseas digital newspapers, and archival sources, reconstructs the tour process and related media coverage. It not only provides a comprehensive evaluation of the achievements of the 1955 tour but also examines the construction of Chinese art abroad. Furthermore, it discusses the specific role of Chinese opera in Chinas international cultural exchange, offering insights for the contemporary global promotion of Chinese opera.
The Power of Words: Exploring the Role of Psycholinguistics in Enhancing Communication, Motivation, and Performance in the Workplace
Authors: Zhu Yujia
Published: December 2024

This study investigates the application of psycholinguistics in workplace communication, emphasizing its influence on employee motivation, productivity, and relational dynamics. By exploring the intersection of psycholinguistics and industrial-organizational psychology, the research highlights how language shapes perception, emotion, and cognitive processing, directly impacting organizational performance. Drawing on motivational language theories and framing effects, the study reveals that strategic communication fosters inclusivity, cooperation, and a supportive culture. Tailored communication strategies, such as utilizing positive framing and culturally sensitive language, enhance employee engagement and reduce turnover. Additionally, the integration of psycholinguistic principles into managerial practices promotes relational energy, satisfaction, and innovation within diverse cultural contexts. The findings underscore the importance of investing in communication training to equip leaders with motivational language skills, enabling organizations to achieve sustainable growth while addressing modern challenges like diversity and technological advancements. This interdisciplinary approach offers a robust framework for improving workplace dynamics, combining theoretical insights with practical strategies for fostering a cohesive and high-performing organizational environment. By bridging psycholinguistics with industrial-organizational psychology, this study provides valuable recommendations for leveraging language as a transformative tool to enhance workplace outcomes.
Exploring the Relationship Between Online Public Opinion, User Discourse, and Social Bot Production and Information Dissemination
Authors: Li Jiaqi
Published: December 2024

The advent of the digital age and the subsequent rise of the Internet have greatly impacted the relationship between online opinion and user discourse in the early evolution of traditional media. However, it has introduced new challenges, namely the emergence of social bots that generate and disseminate information that aims to influence public opinion. Thus, the paper attempts to decipher whether online public opinion, user discourse, and the positions of social robots in the production and dissemination of information will reinforce or change each other. Through the adoption of questionnaire survey method, 414 Internet users who understand and have contacted the human-computer account on Douyin platform as the survey object, online questionnaire survey, it screens out 414 effective questionnaires for data analysis. Besides, the samples are analyzed for reliability, correlation, exploratory factor analysis (validity analysis), linear regression analysis (mediated effects analysis), and analysis of variance using the SPSS (Statistical Product Service Solutions) tool, and the data are obtained. At the same time, combined with text analysis in qualitative research, semiotic analysis is mainly used to analyze how sample data conveys the relationship between online public opinion, user discourse, and social robots. On this basis, the results indicate that all five hypotheses presented in the paper are verified, and two new relationships are explored.
Study on the Challenges and Strategies of Integrating Social Work into Community Care for Elderly Individuals with Disabilities
Authors: Hu Wei
Published: December 2024

With the intensification of population aging, the elderly population base has expanded further, accompanied by a rise in the number of elderly individuals with disabilities. However, the current public elderly care resources are insufficient to meet the care needs of this population. This paper, grounded in the perspective of social work, explores the advantages and disadvantages of different care models for elderly individuals with disabilities and proposes targeted suggestions. It aims to establish a care model within the community that integrates family care as the foundation, complemented by case services and community care. The ultimate goal is to address the daily challenges faced by elderly individuals with disabilities and improve their quality of life and sense of well-being.
Fundamental research on Antibody-Drug Conjugates and their applications in solid tumors and hematologic malignancies
Authors: Sun Shukang
Published: December 2024

Antibody-Drug Conjugates (ADCs) have emerged as a promising targeted therapy for cancer, combining the specificity of monoclonal antibodies with the potent cytotoxic effects of chemotherapy agents. This paper provides a comprehensive review of the fundamental mechanisms, clinical applications, and potential future developments of ADCs in the treatment of both solid tumors and hematologic malignancies. ADCs work by selectively targeting cancer cells through specific antigens, delivering cytotoxic drugs directly into these cells while minimizing damage to healthy tissue. Key components, including the choice of antibodies, cytotoxic payloads, and linkers, are discussed in detail to highlight their roles in optimizing ADC efficacy. The clinical success of various ADCs, such as Gemtuzumab ozogamicin in acute myeloid leukemia and Ado-trastuzumab emtansine in HER2-positive breast cancer, underscores their potential in improving patient outcomes. However, challenges such as toxicity and drug resistance remain, necessitating further research.
Research on Risk Prediction for Cardiovascular Diseases
Authors: Gao Fanqi
Published: December 2024

Cardiovascular disease is a common disease that seriously threatens human health, and occupies the first place in the death caused by various diseases. Despite the fact that studies have documented many factors that lead to cardiovascular disease in medical development, there are still many unknown factors that have not been explored. To provide a comprehensive summary and explore various indicators for certain patients with cardiovascular diseases, a binary logistic regression model was used in this study. It has been concluded that age, Trest BPS, Cholestrol, FBS, Rest ECG, and slope have limited impact on the indicators, but gender, Exang, old peak, ca, and thal have some negative effects on them. It can be observed from the table above that the research model has an overall prediction accuracy of 85.15%, and its fit is acceptable. The precise and reliable materials given by these data can be utilized for future medical research, specifically in cardiovascular disease research, and they also give direction for subsequent research.
Research progress on the causes and solutions of CRS during CAR-T therapy
Authors: Ju Ruixi
Published: December 2024

CAR-T therapy is an emerging therapy used to treat cancer. Currently, CAR-T cells targeting various antigens of cancer cells have been developed. However, adverse events are still a shortcoming of this therapy. The main results of this study highlight the central role of macrophage activation and interleukin-6 (IL-6) release in the formation of CRS. Tocilizumab has been identified as an effective treatment for severe CRS, with antipyretics and pressors providing supplementary support. Future research should focus on the IL-6 mechanism to discover additional strategies for combating CRS. The symptoms of CRS range from fever to life-threatening. Lenzilumab can be used to block GM-CRS which activates macrophages, and tocilizumab is a proven mAb for the treatment of severe CRS. However, there are many treatments that have not been perfected or even developed. In the future, the mechanism of IL-6 should be studied clearly, the application range of tocilizumab should be expanded, and more medications should be developed to inhibit CRS.
Visualization Analysis of International Polygenic Risk Scores Based on CiteSpace
Authors: Jia Du , Lingyin Zhang
Published: December 2024

Objective: Over the past two decades, polygenic risk scores (PRS) have made significant advancements in predicting the risk and aiding in the precision prevention of complex diseases. This study conducts a visualization analysis of literature in this field to explore its current development, hotspots, and trends, providing a reference for further PRS research. Methods: We retrieved relevant literature on polygenic scoring from the Web of Science database and performed a visual analysis using the CiteSpace software, examining publication volume, authors, and institutional collaboration. Results: A total of 8,433 articles were retrieved, and 4,499 were included after manual selection. Overall, publication volume showed an upward trend; the most prolific author was Brenner, Hermann, with 61 publications; Harvard University ranked as the top institution in terms of publication volume; and the United States was the leading country in terms of output. High-frequency keywords included genome-wide association. Conclusion: Collaboration among scholars and institutions is relatively limited, suggesting the need for strengthened cooperation. Relevant domestic studies are few, while international research hotspots mainly focus on schizophrenia, coronary heart disease, and Alzheimers disease, providing a reference for PRS research in China.
A review of strategies for targeting and killing cancer stem cells based on their origin characterization
Authors: Zhou Xinhao
Published: December 2024

The discovery of cancer stem cells (CSCs) is of great significance in the field of cancer biology research. They are tumourigenic cancer cells with similar properties to normal stem cells, especially in terms of their ability to form various cancer cells types found in tumour samples, which resembles the pluripotency of normal stem cells. Unlike non-tumorigenic cancer cells, CSCs are able to generate tumors through stem cell-like processes of self-renewal and differentiation. Hypothetically, CSCs cause the cancer cells to persist in patients, leading to relapse by forming new tumours through this property. Therefore, development of specific therapies targeted at CSCs presents a new strategy to improve the survival and quality of life of cancer patients by potentially preventing cancer recurrance after remission and metastasis in early cancer patients. This research paper compares cancer stem cells and normal stem cells to explore their possible connections and discusses the possibility of modifying CSCs into a differentiated state to reduce its tumorigenicity.
A Study on the Bi-directional Relationship Between Sleep Disturbance and Alzheimers Disease
Authors: Su Xiaochun
Published: December 2024

Alzheimers disease (AD) is a progressive neurodegenerative disorder characterized by gradual memory loss and cognitive decline. This multifactorial condition is influenced by aging, genetic predispositions, and various lifestyle factors. Among these, sleep has emerged as a critical component of overall health, with recent research highlighting a bi-directional relationship between sleep disturbances and AD. On one hand, poor sleep may contribute to the onset and progression of AD by exacerbating pathological processes; on the other hand, the accumulation of AD-related pathologies can further disrupt sleep. Notably, slow-wave sleep (SWS) has emerged as a key overlapping factor in this relationship. By examining the interplay between sleep disorderssuch as insomnia, obstructive sleep apnea (OSA), and narcolepsyand AD, this article seeks to deepen the understanding of their shared mechanisms. Ultimately, unraveling this complex relationship may provide new insights into the etiology of AD and pave the way for innovative treatment strategies aimed at mitigating the impact of sleep disturbances on disease progression.
Overview of Retroviral Transduction of HSV-TK Gene in the Gene Suicide Therapy for Glioblastoma Multiform
Authors: Yuan Tony
Published: December 2024

Glioblastoma Multiform (GB) is the most malignant tumor of the brain. The treatment of GBM is a challenging task worldwide, and the prognosis of GBM remains poor, thus demanding the research of new and improved therapies. One new approach in treating GBM is through the transduction of the Herpes simplex Virus Thymidine Kinase (HSV-TK) gene, followed by ganciclovir (GCV) administration. During GBM treatment, the HSV-TK gene is first delivered into the host by retroviruses, one of the most commonly used vectors in said therapy due to their ability to selectively modify actively dividing cancer cells. Following the expression of HSV-TK, the HSV-TK enzyme catalyzes the phosphorylation of GCV into a cytotoxic metabolite, leading to the apoptosis of the target cell. Moreover, a phenomenon observed in cancer cells during gene suicide therapy named the"bystander effect" further enhanced CV cytotoxicity. Said effect enables the transfer of GCV-3P to surrounding cancer cells without HSV-TK transduction and expression, elevating cytotoxic effects throughout the tumor. However, due to the heterogeneous nature of GBM, relapse of the tumor is almost certain after HSV-TK therapy. Additionally, tumor-associated macrophages in the tumor microenvironment (TME) of GBM further enhance treatment difficulty. Further research should go towards understanding the TME of GBM to personalize better and design more effective treatments.
The Application of Probiotics in Gastrointestinal Diseases
Authors: Kwong Zenith
Published: December 2024

Inflammatory Bowel Disease (IBD) and other gastrointestinal disorders are now a major worldwide health burden. The pathophysiology of these illnesses is significantly influenced by disruptions in the gut flora. Beneficial microorganisms known as probiotics have the potential to improve health by balancing the microbiota and influencing immune responses. This review explores the mechanisms of action of selected probiotic strains, including Lactobacillus rhamnosus, Lactobacillus plantarum, and E. coli Nissle 1917. We conducted a systematic review of relevant literature to evaluate the safety and efficacy of these probiotics in treating gastrointestinal disorders. These strains have demonstrated promising effects in regulating inflammation, improving gut barrier function, and modulating immune responses. In each individual case, all of the probiotic strains have shown signs of improving the gut microbiota as well as inhibiting key inflammatory pathways and reducing inflammation through reduction in intensity (L.Rhamnosus), fecal composition (L.Plantarum L-137) as well as IBDQ (E.coli Nissle).
Progress in autoimmune disease and vaccine
Authors: Xu Wenqi
Published: December 2024

Autoimmune diseases (ADs) are caused by an overactive immune system, which frequently results in irreversible damage to organs and physiological systems. Despite the extensive research conducted on Autoimmune Diseases (ADs) over numerous years, the etiology and contributory factors remain only partially elucidated. Presently, the therapeutic drugs encompasses glucocorticoids (GCs), Nonsteroidal Anti-Inflammatory Drugs (NSAIDs), and conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs). However, these agents exert a modicum of efficacy against the malady, and are prone to elicit severe adverse reactions as well as drug resistance. Therefore, the development of vaccines targeting the pathogenesis of ADs may bring great progress to the treatment of ADs. This article delineates the concepts underpinning vaccine development leveraging human immune tolerance, encompassing the induction of tolerance, the targeting of pathogenic T cells, and the engagement of regulatory pathways. Concurrently, the paper expounds upon certain vaccine technologies that have emerged in the study of specific autoimmune diseases, including type 1 diabetes, rheumatoid arthritis, and multiple sclerosis.
Association between dietary intake of macro-nutrient and type 2 diabetes mellitus
Authors: Wang Haojia
Published: December 2024

Diabetes mellitus, a chronic metabolic disorder characterized by hyperglycemia, has emerged as a major public health concern worldwide. From among, type 2 diabetes (T2DM) is the most common type, accounting for 90% of all diabetes cases, and the prevalence is the highest of middle-aged group, but has increased in young adults. Its pathophysiology is multifaceted, but mainly characterized by altered function of pancreatic -cells for insulin production and diminished response of insulin by peripheral tissues. The reasons are heterogeneous, such as family history and age, however, unhealthy diet, inactivity and obesity act as the major modifiable risk factor in onset of the disease. The relationship between dietary factors and type 2 diabetes has been extensively studied, summarizing the components of macronutrients help to modulate insulin balance and glucose homeostasis. So, an effective regulation of dietary intervention is robust related to dieticians and related staff help patients to mitigate insulin balance, T2DM, and several complications. This essay reviews the relationship between intake of major macronutrients (carbohydrates, fat, and protein) and related diet regimen on insulin and glucose regulation. Insight into nutrigenetic interactions will aid in uncovering molecular mechanisms of T2DM and enable practical application of precision nutrition plan for T2DM patients.
Immunotherapy of cancer: CAR-T and PD-1 and/PD-L1
Authors: Shi Jiaqi
Published: December 2024

Gastric cancer, one of the lethal cancer, accounts for quantities of death in recent years. This article discusses the application of in the treatment of cancer by immunotherapy, including its advantages, shortcomings and prospects. In detail, two types of strategies. PD-1/PD-L1, as a pathway of immune checkpoint, could maintain the immune response under a physiological standard. While, for cancer cells, they evolve to utilize this mechanism to escape from immune response. So, by interfering with the PD-1 involved immune checkpoint, the T cell proliferation could be stimulated to prevent immune evasion. Chimeric antigen receptor T-cell (CAR-T), another immunotherapy, making the goal of precision cancer treatment by engineering human T-cells to specifically target and remove tumour cells. If CAR acts as an artificial receptor, it can discover and capture disease-causing proteins against cancer cells, based on the activation of the host immune system. Low specificity and low drug resistance are challenges for the application of both therapies, but new advances have been made, such as combining immunotherapy with other approaches and CAR-T-based dual antigen therapy.
Comprehensive Exploration of Protein BERT: Analyzing Its Development, Applications, and Future Directions in Computational Biology
Authors: Li Youdong
Published: December 2024

Protein BERT (Bidirectional Encoder Representations from Transformers) represents a revolutionary shift in computational biology and bioinformatics, translating deep learning techniques from natural language processing to the complex domain of protein sequence analysis. This comprehensive study reviews the development and adaptation of Protein BERT, emphasizing its transformative impact on protein classification, structure prediction, and functional annotation. The model's utility extends across various applications, demonstrating significant advancements in identifying protein functionalities and interactions that are crucial for biological research and pharmaceutical developments. Challenges persist in refining the accuracy and computational efficiency of Protein BERT, particularly in handling the vast diversity of protein sequences and the intricate nature of protein functions. The exploration further considers the future potential of Protein BERT in advancing drug development and personalized medicine, where its ability to process and interpret large-scale protein data could lead to novel therapeutic strategies and more effective biotechnological applications. Highlighted is the potential of Protein BERT to become a cornerstone in computational methods, driving forward the capabilities of bioinformatics in research and practical healthcare solutions.
Circadian Rhythm and Blood Pressure: research of the latest circadian rhythm in the treatment of hypertension
Authors: Li Jiachun
Published: December 2024

The goal of this review was to synthesize present knowledge on the effect of circadian rhythms on blood pressure (BP), circadian misalignment mechanisms that contribute to hypertension, circadian rhythm, and hypertension relationship, the latest research of circadian rhythm diet and pharmacological intervention and assess the possibility of chronotherapy in treatment. BP by modulating biological function is determined by the circadian rhythm process mainly under endogenous control, including the central clock in the suprachiasmatic nucleus (SCN) and peripheral clock. Hypertension has been associated with disruption of this rhythm which is a major cardiovascular disease risk factor. A high risk for adverse cardiovascular outcomes is circadian misalignment, which is reflected mostly by nocturnal nondipping. Shift work, hormone release, dietary habits, and others that affect circadian rhythms seem implicated, according to studies. Bedtime dosing of antihypertensive medications and other forms of chronotherapy have the potential to improve BP control. Time-dependent feeding and lifestyle interventions consistent with circadian rhythms offer benefits for hypertension management, as well. Increasingly, it is recognized that circadian rhythm disruption contributes to hypertension. Because interventions that realign circadian rhythms, including chronotherapy or circadian-aligned lifestyle changes, may decrease cardiovascular risk in hypertensives, they are worthy of further study.
Nutritional Needs and Contemporary Dietary Habits in Young People Groups
Authors: Gao Yuying
Published: December 2024

Food as a substance that must be ingested by people to sustain life, are rich in variety of nutrients. With the development of economic and advance of cognize, people becoming more and more pay attention to dietary pattern and pursue balanced nutrient intake. Nutrients are divided into macronutrients and micronutrients. The article is aimed at provide a nutrient guide from the perspective of macronutrients and macronutrients to public especially young people group, collated and recorded some data about 3 macronutrients: carbohydrate, fat and protein; some more important micronutrients to young people group: Vitamin A, Vitamin C, Vitamin D, calcium, iron, zinc in mineral substance. After learning and sorting, this article compared the different nutrition intake content between different age groups and list cause of results. Finally give some advices according to the data, aim to provide train of thought on young people nutrition intake to extensive scholars, researchers and the public.
Oncolytic virotherapy for anaplastic thyroid cancer: mechanisms, challenges, and future prospects
Authors: Liu Zhiyuan
Published: December 2024

Anaplastic thyroid cancer (ATC) remains one of the most aggressive and treatment-resistant forms of thyroid cancer, with a near-zero 5-year survival rate. This review explores the potential of oncolytic virotherapy as a novel treatment approach for ATC. It discusses the mechanisms by which oncolytic viruses selectively target and lyse cancer cells, stimulating both innate and adaptive immune responses. The review highlights the challenges facing current virotherapy strategies, including biosafety concerns, limited bioavailability due to the blood-brain barrier, and potential adaptive immune resistance. To address these limitations, the author examines promising improvements in virus delivery and efficacy, such as focused ultrasound techniques, nanotechnology-based delivery systems, and combination therapies with immune checkpoint inhibitors and CAR-T cells. By integrating these advancements, oncolytic virotherapy shows potential to overcome the current treatment barriers in ATC, offering hope for improved patient outcomes. This review underscores the rapid progress in the field and emphasizes the need for continued research to optimize oncolytic virotherapy for ATC treatment.
The Influence and Enlightenment of Paid Parental Leave on Female Employment
Authors: Chang Yanyang
Published: December 2024

This study examines the evolution, state of implementation, and effects of paid parental leave laws on female employment around the globe. Countries have implemented paid parental leave policies to enhance family life and advance gender equality in response to the rise in female labor in recent years. This research highlights the significant influence of cultural and economic disparities on the adoption and execution of parental leave policies, as evidenced by an analysis of policies in Europe, the US, Japan, and other nations. The study discovered that paid parental leave laws can, to some extent, support the balance between family obligations and social-gender equality in addition to increasing women's employment rates and professional advancement. However, the policy implementation still faces challenges such as limited coverage, heavy burden on enterprises and traditional gender concepts. This paper suggests that national legislation, cultural changes and corporate support should be used to improve the effectiveness and social acceptance of the policy, to provide strong support for realizing sustainable social and economic development.
Research on the Role of Social Media in Brand Marketing under the Digital Background - Taking Luxury Brands as Examples
Authors: Chen Ruihang
Published: December 2024

The development of the digital economy has prompted the global luxury goods industry to show different development trends. The strategy of using traditional media for brand marketing can no longer meet the changes in consumer demand or cope with fierce market competition. On the contrary, the vivid and interactive information dissemination provided by social media has made it the core way of brand marketing. Therefore, this paper takes luxury brands as cases to explore the marketing strategies of enterprises on social media platforms, and then determine the communication effect on brand image. The social media marketing theory and marketing mix model will be used to analyze this research topic. This study applies relevant literature and marketing cases of luxury brands in the Chinese market to evaluate the impact of social media on brand operations. The results show that luxury brands are actively using social media to pursue innovative marketing strategies in the digital field and using digital traffic attraction to penetrate a wider consumer base. Especially in terms of online dissemination and offline communication, this provides a strong media competition channel for the marketing development of luxury brands.
Improvements the Performances of the Fama-French Model with New Factors: Evidence from US Technology Industry
Authors: Zhang Xinyao
Published: December 2024

Fama-French 3-factor (FF3F) and 5-factor (FF5F) model is one of the most used asset pricing models after CAPM. However, there are still scopes to improve the efficiency of this model by adding further factors. This research aims to conduct research on such asset pricing models and identify whether the accuracy of the FF model increases with the inclusion of new factors or not. Therefore, this study chooses technical indicators including MACD and CCI to add to the Fama French multifactor model (FFNF) to show whether this factor can improve the performance and robustness of the model. It will also compare the result with other popular asset pricing models like CAPM, FF3F and FF5F models to get a comprehensive result. This report will use weekly trading data of 10 US technology firms and will conduct regression analysis to evaluate the models. From the regression result it can be seen that the multifactor model with technical indicators shows much more precision in predicting asset price changes. All the parameters like R square value, Standard error value, and P-value proved that the multifactor is more efficient compared to the other three models.
Financing Pricing Model under Certain Conditions: Evidence from COVID-19, Regional War and Global Financial Crisis
Authors: Zhao Kaichen
Published: December 2024

Financing pricing models are widely adopted in assets valuation contemporarily. This study introduces some of the historical research and development on asset pricing models. It examines the implementation of Fama-French models and the Capital Asset Pricing Model (CAPM) under specific global conditions, including COVID-19, regional wars, and the global financial crisis. Based on previous research and comprehensive analysis, the performance of these models during periods of economic uncertainty and their applicability in different industries and regions are evaluated. Some improvements made by predecessors to these models to adapt to these special challenges are listed. The results show that although traditional models such as Fama-French are effective in most cases, some results deviate from expectations due to the complexity of financial markets during crises. These models generally cannot explain some non-economic risks and extreme fluctuations. The research suggests that in some special periods, it is necessary to modify and expand these models to improve their accuracy and reliability under crisis conditions.
Research on the Impact of ESG Performance on Corporate Value Driven by New Productivity
Authors: Zhou Yaoyao
Published: December 2024

ESG (Environmental, Social, and Governance) is a key non-financial evaluation standard for measuring a companys performance in environmental, social, and governance aspects. It provides an important leverage point for promoting corporate sustainable development. This paper theoretically examines the impact of ESG performance on corporate value and its underlying mechanisms. The study finds that the three dimensions of corporate ESG performance significantly enhance corporate value. The integration of digital intelligence and green technology innovation, driven by new productivity, plays a mediating role in the relationship between ESG performance and corporate value, becoming a pathway for companies to enhance their value. This paper deepens the research on the relationship between ESG performance and corporate value under the new productivity paradigm and provides theoretical support for utilizing ESG to promote corporate sustainable development.
A Review of VWAP Trading Algorithms: Development, Improvements and Limitations
Authors: Chen Ruiyang
Published: December 2024

This study explores the development and evolution of Volume-Weighted Average Price (VWAP) trading strategies in algorithmic trading. As algorithmic trading continues to transform the financial industry, optimizing execution strategies becomes crucial for minimizing trading costs and market impact. This research traces the historical development of VWAP, analyzes its integration into various trading strategies, and evaluates recent improvements in trade execution optimization. This paper first provide an overview of VWAP strategies and their significance in algorithmic trading. Then, it details the implementation of VWAP algorithms, including volume prediction techniques and execution methods. The study compares the performance of traditional VWAP approaches with advanced dynamic strategies, analyzing their effectiveness in different market conditions. Furthermore, a discussion is made on the limitations of conventional VWAP methods and an examination is conducted of recent advancements, including improved volume prediction models and adaptive execution algorithms. This research contributes to the growing field of algorithmic trading and offers valuable practical insights for traders and researchers aiming to optimize VWAP-based trading strategies.