bluuebunny/crossref_metadata_2025 huggingface dataset:
بعض حقوق الإنسان في القرآن الكريم والسنّة النبوية
Authors: مجاهد حميد فرحان
Published: June 2024

لقد شغلت فكرة الحقّ العقل البشري سابقاً ولاحقاً في عالمنا المعاصر, ودخلت نظريات حقوق الإنسان وتطبيقاتها ضمن معايير العلاقة بين الحاكم والمحكوم من جهة, وفي تصنيف الدول المتمدّنة – في عالمنا الحديث على الأقل – من الجهة القانونية, ونشير إلى أنّ هذه القضية كانت البوابة في أكثر النزعات, أو المدخل لتلك النزاعات. وتزعم النظرية الليبرالية الغربية أنّها الراعية لتطوير حقوق الإنسان, وأنّها هي التي نقلت الأطر النظرية من التفكير إلى التطبيق.
ولقد ألصقت الرؤية الغربية الاستبداد, ومصادرة حقوق الإنسان في النظرية الإسلاميّة وتطبيقاتها التاريخية, وصنفت العقل العربي والإسلامي على أنّه عقل ينتج الاستبداد والقمع, ومصادرة حقوق الإنسان. ومن الجدير بالذكر أنّ موضوع  حقوق الإنسان أصبح من الموضوعات الرئيسة والمهمة في حياتنا اليومية إذ إنه  مبدأ عالمي اتفق على أن يطالب به كلّ الناس على اختلاف دياناتهم أو ثقافتهم أو حتى جنسهم. ولا يخفى على أحد أنّ  المصدر الأوّل الذي أصل موضوع حقوق الإنسان هو الشريعة الإسلاميّة وذلك بشكل فالله تبارك وتعالى في محكم آياته قد كرّم الإنسان صراحة وأعطاه حقوقاً فرضت له شرعاً ووجبت له حكماً ليس هذا فحسب بل نجد أنّ الله جل وعلا قد أحاط تلك الحقوق بكافة أنواع الضمانات من العدوان وانتهاكها وهذا ما لا نجده في أي من المناهج الحديثة والقوانين عدا المنهج والدستور القرآني.
أثر ابن إسحاق في التفسير
Authors: مروان عطية جبر عبد الجبوري
Published: June 2024

الحمد لله، والصلاة والسلام على رسول الله صلى الله عليه وسلم، وعلى آله وصحبه ومن تبعه بإحسانٍ إلى يوم الدين، وبعد:
القرآن الكريم هو كتاب الله الخالد وحجّته البالغة على الناس أجمعين، ختم الله به الكتب السماوية وأنزله هدايةً ورحمةً للعالمين، وضمّنه منهاجًا كاملًا وشريعةً تامّةً لحياة المسلمين، والقرآن معجزةٌ باقيةٌ ما بقيَ على الأرض حياةٌ وأحياء، أيّد الله به رسوله الكريم محمد      صلى الله عليه وسلم وتحدّى الإنسَ والجنَّ أن يأتوا بمثله أو بعشر سور مثله أو بسورةٍ واحدة، ولا شكّ أن قراءة القرآن الكريم وتعلّمه وحفظه لها أجر عظيم فكيف إذا اقترنت هذه القراءة بالفهم والاستنباط والتفسير والدراسة.
ومن هنا ومن هذا المنطلق اجتهد علماء الإسلام قديمًا وحديثًا في خدمة هذا الكتاب، ومن أهم مظاهر اهتمامهم كثرة مؤلّفاتهم حوله، فألّفوا في تفسيره، وقراءاته، ومعانيه، وغريبه وإعرابها وغيرها.
وإنّ الاشتغال بالعلوم الشرعية من أجلّ القربات، وإنّ على رأس هذه العلوم ما يتعلّق بكتاب الله عزّ وجل وتفسيره، وفي هذا البحث تناولت أثر أحد علماء هذه الأمة الإسلامية في التفسير، وهو العالم محمد بن إسحاق رحمه الله، والذي كان واسع الثقافة، لامعًا في التفسير والحديث النبوي الشريف والسّير والتاريخ، وقد دفعني إلى الحديث عن أثره في التفسير أمورٌ عدّة، هي:
ما وقفتُ عليه من لفتات تفسيرية في ثنايا تفسيره، فقد احتوى مادّة تفسيرية لا يُستهان بها، إضافةً إلى أنّ ابن إسحاق رجلٌ متقدّم الوفاة، فقد كان قرينًا لمالك بن أنس رحمه الله تعالى، والحاجة ماسّة إلى بيان جهوده في خدمة كتاب الله عزّ وجل.
إضافة إلى ذلك كلّه فقد نصّ بعض الباحثين على وجود تفسيرات لابن إسحاق وأشادوا بها، ومن ذلك قول الشيخ محمد علي السايس ورفاقه في كتاب تاريخ الفقه: "وقد اشتهر من بين التفاسير التي عرفت وقت ذاك تفسير ابن جريج، وتفسير السدي، ومحمد بن إسحاق، وسواها".[1] ولهذا توجّهت النية نحو دراسة أثر ابن إسحاق في تفسيره، والله الموفّق.
 
[1]  السايس، محمد علي، تاريخ الفقه الإسلامي، دار الكتب العلمية، بيروت، 1432ه، ص: 87.
30 anos de planos de recursos hídricos no estado do Rio Grande do Sul
Authors: Scottá Fernando , Schuster Raíza , Hinata da Silva Sumire , Kaliski Aline , Brasileiro Cardone Luciano , Menegaz Carolina
Published: June 2024

A Fase C dos Planos de Recursos Hídricos (PRHs) trata sobre os planos de ações, que possuem objetivos de caráter diversificado, relacionados aos instrumentos de gestão de recursos hídricos, melhorias quali-quantitativas, conservação ambiental, desenvolvimento regional, institucional e comunicação social. O objetivo deste trabalho consiste em realizar um levantamento nas ações dos PRHs do estado do Rio Grande do Sul (RS) para responder às seguintes perguntas: quais ações foram implementadas? Essas ações são específicas ou comuns a todas as bacias hidrográficas? Existem alternativas que podem ser desenvolvidas para a execução das ações dos PRHs? Foram consultados 11 PRHs que possuem a Face C concluída, totalizando 286 ações. Foi constatado que seis ações (2,1%) foram integralmente implementadas, 43 ações (14,7%) tiveram implementação parcial, 21 ações (7,3%) foram classificadas como indefinidas e 216 ações (75,5%) não tiveram nenhuma implementação. Da abrangência espacial, 92% das ações possuem abrangência geral e apenas 8% são consideras ações específicas, ou seja, podem ser aplicadas para outras bacias hidrográficas ou até mesmo para todo o estado. Com a ampla característica de ações comuns, o planejamento em escala estadual ou em “escala de bacias” pode ser considerado como uma alternativa devido às dificuldades do Estado em operacionalizar a execução de ações nas 25 bacias, ou seja, é uma forma de otimizar a relação de “demanda das bacias versus capacidade de governança do Estado”.
Klimato kaitos vertinimas skirtinguose auditorijų segmentuose Lietuvoje
Authors: Budžytė Agnė , Zolubienė Eimantė
Published: June 2024

Straipsnyje nagrinėjama klimato kaitos suvokimo problematika. Remiantis „Šešių Amerikų“ (angl. Six Americas) tyrimo metodologija analizuojami 2022 m. atliktos reprezentatyvios Lietuvos gyventojų apklausos duomenys. Gauti rezultatai leidžia identifikuoti šalies gyventojų auditorijų segmentus bei jų požiūrių į klimato kaitą skirtumus. Atlikus tyrimą nustatyta, kad Lietuvoje egzistuoja visų tipų auditorijos, tarp kurių dominuoja „susirūpinusiųjų“ ir „atsargiųjų“ segmentai, o šių segmentų turimos nuostatos klimato kaitos atžvilgiu reikšmingai skiriasi.
Changing Gendered Attitudes Toward Childcare: Social-Economic Determinants of Understanding Family Roles Among Lithuanian Parents
Authors: Bučaitė-Vilkė Jurga
Published: June 2024

The parental choices need more explanation on how the perceptions of family gender roles could explain the differences in parental satisfaction with childcare and domestic division and what social-economic factors determine their normative attitudes. In other words, the paper analyses how families’ attitudes to childcare division are related to their socioeconomic backgrounds and normative preferences on gender roles. The paper uses the representative population survey data of Lithuania’s working-age generation cohort (34–48 years old). The main results reveal that parental preferences for childcare allocation are mostly shaped by their economic status and traditional gender roles in contrast to the country’s widely accessible active labour market and family welfare system.
Effectiveness of the Mobile e-Health Individual and Family Self-management Program for Primiparous Pregnant Adolescents: A Quasi-experimental Study
Authors: Choakprasanchai Taevika , Phumonsakul Srisamorn , Sumdeangrit Bualuang , Piaseu Noppawan
Published: June 2024

Adolescent pregnancy is considered high-risk of health problems that impair their quality of life. Also, many pregnant adolescents are likely to have poor self-management behavior during pregnancy, affecting their health status. This quasi-experimental study aimed to determine the effectiveness of a mobile e-health individual and family self-management program for primiparous pregnant adolescents. Seventy pregnant adolescents who attended a prenatal clinic at a provincial hospital near Bangkok, Thailand, were assigned to the experimental (n = 35) and control group (n = 35). The experimental group received the intervention program and usual care, while the control group received only usual care. The program was held in three sessions over four weeks, and the outcomes were evaluated three times, at baseline, two weeks (time 1), and four weeks (time 2) after completing the program. Data collection took place from July to December 2022 using a personal data form, the Self-Management Behavior Questionnaire on Pregnancy Health of Adolescent Pregnant Women, the Pregnancy Health Status Record Form, and the WHOQOL-BREF-Thai questionnaire. Descriptive statistics, RM-ANCOVA, independent t-test, and chi-square analyzed the data.
The findings revealed that four weeks after completion of the program (time 2), there was a statistically significant difference in the mean scores of self-management behavior between the experimental and control groups. Still, there was no statistically significant difference in the mean quality of life scores. In addition, the experimental group’s hemoglobin level, hematocrit level, and gestational weight gain were significantly higher than the control group’s. Moreover, the number of participants with urinary tract infections in the experimental group was lower, whereas the average fetal weight gain was higher than in the control group. Nurses and midwives can use this program for adolescent pregnancy to improve self-management behaviors, health status, and quality of life. However, further testing is needed before it is widely used.
Nurses’ Perceptions of Outcomes of Quality of Care in Thai Nursing Homes: A Qualitative Study
Authors: Ngernthaisong Chaowarit , Aungsuroch Yupin , Oumtanee Areewan
Published: June 2024

The quality of care in nursing homes is distinctive and vital due to the unique characteristics and individual needs of older adults and dependent residents. This study aimed to describe the quality of care outcomes in nursing homes in Thailand. Qualitative description was applied to interview ten registered nurses working in several private nursing homes using semi-structured questions, observation, and audio recordings. Participants were selected through purposive and snowball sampling. Data analysis was conducted utilizing content analysis, and trustworthiness was ensured through member checking and peer debriefing. The findings revealed six major themes perceived by nurses as indicative of quality care in nursing homes: Physical well-being, Psycho-cognitive status, Social well-being, Nutrition and fluid intake status, Safety and health risks, and Satisfaction. These findings suggest that nursing home nurses must provide care emphasizing the residents’ overall well-being, minimize risks, improve safety measures, and increase satisfaction to achieve quality of care. Among these themes, the status of nutrition, fluid intake, safety, and health risks can cause life-threatening conditions. So, the study provides a guideline for quality improvement in nursing homes. Moreover, future research should describe the outcomes from the perspectives of residents, relatives, or caregivers to extend the phenomenological insight.
Bridging the Gap from Theory to Practice: Teaching Evidence-based Nursing Strategies for Developing Critical Thinkers and Lifelong Learners
Authors: Bhatarasakoon Patraporn , Chiaranai Chantira
Published: June 2024

This manuscript responded to the call for the integration of evidence-based practice concept into the nursing curriculum. It aims to 1) review the importance of teaching evidence-based nursing in nursing education, 2) identify key principles and competencies associated with evidence-based nursing, and 3) provide evidence-based teaching strategies to foster critical thinking and research literacy among nursing students. Drawing from current pedagogical research and best practices, it provides a robust framework for enhancing teaching methodologies in the nursing field. Encompassing diverse evidence-based strategies ensures direct relevance and applicability in real-world clinical scenarios. Recognizing healthcare’s dynamic, it serves as a comprehensive resource for nurse educators, fostering a profound understanding of evidence-based practices. By distilling insights from recent pedagogical studies, it establishes a strong foundation for continuous improvement in teaching methods, advocating for seamless integration of evidence-based strategies. In summary, this paper is vital for nurse educators to refine their instructional methodologies, offering evidence-based teaching strategies grounded in research and practical application. It significantly contributes to shaping a new generation of nursing professionals, equipping them with the requisite skills, knowledge, and the adaptive mindset necessary for effective evidence-based practice in the ever-evolving healthcare landscape.
Dynamic Success Dynamics of SMEs in Digital Transformation: Analysis of Social and Psychological Factors
Authors: Manafe Mesri Welhelmina Nisriani
Published: June 2024

The advancement of information and communication technology has transformed the way business is conducted. Small and Medium Enterprises (SMEs) often face challenges in adopting these changes, including difficulties in integrating digital technology into their operations. This research aims to understand the dynamics of the successful adaptation of Micro, Small, and Medium Enterprises (SMEs) to digital transformation, employing an analysis approach that considers social and psychological factors. The study utilizes a qualitative literature review method, focusing on data from Google Scholar within the range of 2009-2023. The study's findings indicate that SMEs, when confronting digital transformation, can draw several important conclusions. Firstly, it is crucial to build strong relationships with customers, business partners, and the community through social media and business networks to garner necessary support. Secondly, SME owners need to cultivate an adaptive and innovative mindset, along with the ability to take risks and resilience in facing failures. Training and psychological support can help overcome resistance to change. Thirdly, effective management is key to handling digital transformation, with SME owners requiring leadership skills, strategic planning abilities, and expertise in efficiently managing human resources. Managerial training can enhance the leadership capabilities of SME owners.
Innovative Strategies to Enhance the Quality of Higher Education Management: Human Resource Development and the Critical Role of Communication
Authors: Tusriyanto  , Siminto  , Az Zaakiyyah Hizbul Khootimah
Published: June 2024

Higher education plays a pivotal role in developing high-quality and competitive human resources. In this era of globalization, the dynamics of higher education environments are becoming increasingly complex, requiring innovative management to address challenges and ensure quality improvement. This research aims to elucidate innovative strategies for enhancing the quality of higher education management through human resource development and the critical role of communication. The study employs a qualitative literature review method with a literature search approach on academic sources. The primary data sources are obtained from Google Scholar, an online scholarly search platform, encompassing articles, books, theses, and other academic publications. The data collection period spans from 2013 to 2024, ensuring that the literature used is relatively recent and relevant to the current research context. The study's findings indicate that in the face of the increasingly complex dynamics of higher education, the successful implementation of innovative strategies to enhance the quality of higher education management is crucial. From the aforementioned exposition, it can be concluded that human resource development, collaboration with industries, the critical role of communication, and the utilization of technology are the main pillars that can guide higher education institutions towards greater achievements.
The Role of ChatGPT in Enhancing the Quality of Human Resource Team Communication: An Innovative Approach in Human Resource Management
Authors: Sutrisno Sutrisno , Suherlan  , Rijal Syamsu
Published: June 2024

Effective communication stands as one of the key pillars in human resource management (HRM). Good communication among human resource team members can enhance productivity, collaboration, and job satisfaction. This research delves deeper into how ChatGPT can be effectively implemented to improve the quality of communication within HR teams and address potential challenges that may arise in the process. The research methodology involves a qualitative literature review drawing data from Google Scholar spanning from 2006 to 2023. The study results indicate that the utilization of ChatGPT in enhancing the communication quality of HR teams has proven to bring significant benefits across various aspects of human resource management. With its ability to understand and respond to human conversation naturally, ChatGPT opens new opportunities in recruitment, training, performance management, and team collaboration.
Strategic Significance: Unveiling the Dominant Role of Social Media as a Primary Marketing Tool in Digital Business Strategies
Authors: Prakosos Riyan Dwi Yulian , Ukar Kurweni , Astutik Wahyuni Sri
Published: June 2024

The advancement of digital technology has fundamentally altered the way companies operate. Amidst this transformation, social media has emerged as one of the key forces driving change. The aim of this research is to uncover the dominant role of social media as a primary marketing tool in digital business strategies. The methodology of this research is a qualitative literature review drawing data from Google Scholar from 2012 to 2024. The study findings indicate that social media not only enables businesses to directly connect with their audience but also facilitates deep interactions, strengthens brands, provides valuable insights, and fosters beneficial collaborations. With its ability to create emotional connections, build strong brand identities, and optimize consumer experiences, social media has become an inevitable force in the modern marketing landscape.
Effective Social Media Communication Strategies to Expand the Market Reach of MSMEs During Ramadan Season
Authors: Heryadi D Yadi , Afiat Muhammad Nur , Kraugusteeliana Kraugusteeliana
Published: June 2024

Ramadan is not only a spiritual time for Muslims but also a significant economic period, especially for MSMEs. During this holy month, consumer demand increases significantly due to preparations for celebrations and social activities. This research aims to examine effective social media communication strategies to expand the market reach of MSMEs during Ramadan season. The methodology employed in this study is a literature review with a qualitative approach and descriptive analysis. Google Scholar is utilized as the primary data source, covering the years 2014 to 2023. The study findings indicate that in designing effective social media communication strategies to expand the market reach of MSMEs during Ramadan season, several crucial steps should be implemented. These include carefully identifying the target audience to ensure the created content is relevant and engaging to them. Subsequently, focus on producing quality content that aligns with the Ramadan theme, including the use of relevant hashtags to enhance visibility. By implementing these steps, it is expected that MSMEs can achieve greater success in expanding their market reach during Ramadan.
Business Innovation for SMEs and Community Empowerment: Strategies to Enhance Income and Quality of Life
Authors: Arjang  , Junaidi Ahmad , Choerudin Achmad
Published: June 2024

Small and Medium Enterprises (SMEs) play a crucial role in a country's economy. In the era of globalization and digitalization, SMEs need to innovate to remain competitive. This is because SMEs often face various challenges that hinder their business growth and sustainability. This research aims to explore business innovation strategies that can be applied by SMEs and how community empowerment can support the increase of income and quality of life. This research is a literature review with a qualitative approach and descriptive analysis. Descriptive analysis is used to describe and summarize findings from articles collected from Google Scholar for the period 2001-2024. The results of the study indicate that in the constantly changing economic dynamics, business innovation is key to the sustainability and advancement of SMEs. Although SMEs play a vital role in the economy, they often face challenges such as limited resources, access to capital, and lack of awareness of the importance of innovation in facing increasingly fierce global competition. To address these challenges, community empowerment and business innovation development become essential strategies. Therefore, recommendations from this study include enhancing community empowerment through training, education, and access to resources to create an environment that supports SME growth and leveraging ICT to improve operational efficiency and expand SME market reach.
The Importance of Cultural Understanding: How to Incorporate Culture into the Teaching of French as a Second Foreign Language with the Example of Chinese University Beginners
Authors: Yang Ziyou
Published: June 2024

Teaching French as a second foreign language in Chinese universities has a long history of more than 160 years. Despite this historical legacy, there is still a need to strengthen the integration of French culture into language teaching in order to improve students’ language proficiency and intercultural competence. This essay examines the current situation of French language teaching, the impact of cultural learning on language proficiency and intercultural competence, and effective ways of integrating culture into language teaching. Through an analysis of existing literature and empirical studies, this study examines the challenges and opportunities of cultural integration and makes practical recommendations for educators and policymakers. The findings suggest that although French language teaching in Chinese universities emphasizes grammatical aspects, more attention must be paid to cultural learning to improve language proficiency and intercultural communicative competence. Universities can enrich students’ cultural understanding and language competence by encouraging interdisciplinary collaboration, using multimedia resources, and promoting experiential learning. In addition, teacher training and clear assessment criteria are essential to ensure the effective implementation of cultural teaching and learning activities. Ultimately, this essay contributes to the development of language education by advocating a holistic approach that prioritizes cultural immersion and experiential learning. Educators can empower students to become proficient French speakers and culturally sensitive learners through collaborative efforts and innovative pedagogical practices, contributing to a more inclusive and interconnected society.
The Influence of El Niño Events on the Climate of Northeastern China: An Integrated Analysis
Authors: Yan Shuoyang
Published: June 2024

The year 2023 has been projected to be potentially the warmest year since 1850, largely attributed to the El Niño phenomenon, highlighting its significant impact on global climate patterns, including those affecting China [1] The occurrence of El Niño has been linked to extreme weather transitions in China, from unusually warm conditions to sudden freezing temperatures, underscoring the variability and extremity introduced by this climatic event [2]. Research further suggests that the combination of El Niño and the Atlantic Multidecadal Oscillation (AMO) has contributed to the remarkably large margin of global temperature increases observed in 2023 [3]. This assertion is supported by the World Meteorological Organization’s confirmation that 2023 has indeed shattered global temperature records, emphasizing the profound influence of El Niño on exacerbating climate anomalies worldwide, including in China[4]. This study aims to delve deeper into the mechanisms through which El Niño influences China’s climate, particularly focusing on temperature variations and the incidence of extreme weather events, to understand better the broader implications of such climatic phenomena on regional and global scales.
Is Set theory Justified: the Effectiveness and Sufficiency of Set Theory as a Solution to the Mathematical Crisis
Authors: Hu Yiming
Published: June 2024

This article presents an objection to the claim that the iterative conception of the set (ICS) is a potential solution to the justification of the foundation of mathematics. The beginning of this article provides an overview of ICS, which is thought to be the paradigm underlying contemporary set theory, and the stage theory, an axiomatized account of ICS. Then, using Boolos’ research as support, an argument is made to defend ICS’s failure to uphold the axioms of choice, extensionality, and the axiom schema of replacement. After that, a response based on Alexander Paseau’s work was given to Boolos’ objection, claiming that a second conception of set, the Frege-von Neumann conception (FN), justifies the remaining axioms which ICS failed. This article concludes by concluding that the commonly taken-for-granted set theory is unjustified, calling for people’s attention to this significant topic.
Sentiment Analysis for Film Reviews Based on Random Forest
Authors: Zheng Dongling
Published: June 2024

Sentiment analysis of film reviews has been a popular research topic, and previous researchers have investigated it on the IMDb dataset using a variety of machine learning models, however, the classification results are not satisfactory. Therefore this study aims to construct an effective sentiment analysis model and explore whether the Random Forest algorithm can be applied to the task of sentiment analysis on the IMDb dataset. In this study, after preprocessing the data, the Random Forest model was trained using a training set and evaluated using a test set to explore the accuracy and performance of the Random Forest model in film review sentiment analysis. The study also plotted word clouds to visualize the decision-making effect of the model. The Random Forest Model achieves an impressive 86% accuracy in sentiment analysis, while the word cloud plots provide a visually appealing depiction of its classification task. This indicates that the Random Forest model performs well in the film review sentiment analysis task with high accuracy and performance.
Research on Signal Preprocessing Methods based on Brain-computer Interface
Authors: Xin Chenyu
Published: June 2024

With the rapid advancement of neuroscience and engineering technology, Brain-Computer Interface (BCI) technology has garnered widespread attention and research interest as an innovative means of directly connecting the human brain to external devices. BCI has emerged as a promising technology for facilitating direct communication between the brain and external devices. However, the quality of EEG signals recorded by BCI systems is often affected by various artifacts, such as eye movements, muscle activities, and powerline interference. Therefore, signal preprocessing plays a crucial role in improving the performance of BCI systems. In this paper, brain-computer interface (BCI) signal preprocessing methods are reviewed. The principles, advantages, and disadvantages of these methods are summarized, and the future development direction of BCI signal preprocessing is discussed. Overall, with these preprocessing methods, the BCI system is able to recognize and interpret EEG signals more accurately and reliably, providing better support for brain-computer interaction. The potential applications of deep learning in EEG signal preprocessing, especially in the recognition and removal of complex artifacts, are of great significance.
Targeted Treatment of Acute Myeloid Leukemia Based on Epigenetic Regulation Mechanism
Authors: Zhou Songci
Published: June 2024

Acute myeloid leukemia (AML) is a kind of malignant clone system disease of hematopoietic ancestor cells. Objects genetic modification plays an important role in the occurrence and development of AML. The current research shows that apparently, genetic modifications, such as DNA methylation, group protein modification, non-encoding RNA-mediated regulation, etc., play a key role in AML and become potential treatment targets. However, there are still research gaps in the targeted therapy for AML epigenetics, and further exploration and research need to be done. This article summarizes the epigenetic pathogenesis and types of AML and analyzes targeted therapeutic strategies for AML epigenetic modification, including DNA methyl metastase inhibitors, histone deaminase inhibitors, and non-encoding RNA. The results showed that these strategies showed potential treatment effects in preclinical and clinical studies and provided new ideas for AML treatment. The significance of this summary is to provide a reference for future AML therapy research, which indicates the importance of apparent genetic modification in AML treatment. However, there are still many problems that need to be solved, including the durability, drug resistance, and side effects of treatment. Future research can focus on these issues so as to bring more effective treatment plans to patients with AML.
Deep Learning in Image Style Migration and Art Creation
Authors: Chen Yanzi
Published: June 2024

This paper systematically introduces the application and practice of deep learning in art creation, with a focus on the technical intricacies and implementation of deep learning-based art style migration algorithms. Through an in-depth analysis of the impact of deep learning on art creation, it unveils its potential to revolutionize the methods and forms of artistic expression. The research findings not only broaden the scope of deep learning applications in art but also furnish vital references and insights for future research and practice. Subsequent research endeavors will be dedicated to enhancing the stability and interpretability of deep learning models, as well as fostering collaboration and communication with human artists, thus catalyzing further advancements and innovations in the realm of art creation.
Bi-Directional Optimization of V2G Strategy Based on Multi-Objective Optimization: Balancing Grid Load and Reducing Electric Vehicle Charging Costs
Authors: Liu Yilin
Published: June 2024

With the rapid increase in the number of electric vehicles (EVs), vehicle-to-grid (V2G) technology plays a vital role in reducing the burden on the power system. This technology optimizes network load distribution through a two-way charging mechanism and effectively alleviates network load fluctuations. However, potential negative impacts on EV battery life should also be a cause for concern. Furthermore, the technology does not fundamentally change the charging behavior of electric vehicles. Against this background, this study proposes a multi-objective optimization strategy to adapt electricity price policy to network load fluctuations to control charging behavior. This strategy optimizes battery attenuation, charging costs, and network load fluctuations, aiming to alleviate network load fluctuations while completely solving user concerns about charging and battery maintenance costs. Simulation analysis has verified the effectiveness of this model in reducing grid load fluctuations and balancing user costs.
The Effects of Climate Change on the Global Meteorological System and Trend Analysis
Authors: Tan Shuwen
Published: June 2024

Climate change emerges as a paramount global challenge today, exerting profound effects on worldwide weather patterns. Through scrutinizing its impacts on the global weather system and trends, this paper elucidates its consequences in terms of temperature fluctuations, shifts in precipitation patterns, and escalating occurrences of extreme weather events. As the warming trend persists, the global meteorological system confronts increasingly formidable challenges. Effectively addressing the ramifications of climate change necessitates fortified cooperation within the international community, advocating for emissions reduction initiatives, augmenting meteorological monitoring and early warning capabilities, and advancing sustainable development endeavors. The enduring warming trend amplified alterations in precipitation patterns, and the heightened frequency of extreme weather events pose primary challenges to the global meteorological system. Hence, nations must intensify comprehensive research on the mechanisms underlying climate change impacts, enhance meteorological forecasting capabilities, foster international collaboration, and unite efforts to tackle the challenges posed by climate change.
Research on Fire Alarm Network for High-rise Buildings Based on Wireless Sensor Networks
Authors: Wei Keyan
Published: June 2024

This paper presents the design of a fire safety and security network for high-rise buildings based on wireless sensor networks. Utilizing the Zigbee system’s topology and Zigbee technology for wireless sensor network communication, the design enables intercommunication among sensor nodes, forming a multi-network system. This system facilitates the preemptive warning and dissemination of fire-related information, facilitating efficient information transmission. Simulation results affirm the practical effectiveness of this design scheme, underscoring its substantial applicability.
Comparative Analysis of Xu Zhimo’s “In Search of a Star” and Whitman’s “Leaves of Grass”
Authors: Liu Yuxin
Published: June 2024

This paper researches from a comparative literary perspective based on the context of literary revolutions in the 19th century in the United States and the 20th century in China. Considering the social and historical background, a comparative analysis was conducted between Whitman’s “Leaves of Grass” and Xu Zhimo’s “In Search of a Star.” This article first summarizes the social and cultural backgrounds of the two countries during that period in concise language, collects data, and argues for the possibility of Xu Zhimo being influenced by Whitman’s works. Secondly, this study will compare the similarities between the two works in image selection and writing techniques. Finally, this article also points out the differences between the two works. The similarities and differences between the two works are that Xu Zhimo was influenced by Whitman and the cultural background and social thinking differences between China and the United States.
Analysis of the Combination of Enterprise Recruitment and College Student Employment Based on Data Visualization
Authors: Xiao Wayuan
Published: June 2024

The purpose of this paper is to explore how to combine the recruitment needs of enterprises with the employment of college students through data visualization technology, and to provide new insights for addressing the employment matching challenge. First of all, it will introduce the current situation and challenges of enterprise recruitment and college student employment, and analyze the problems and reasons for this. Secondly, a method based on data visualization will be proposed. By collecting and analyzing relevant data from the Boss direct employment platform, including educational requirements, salary, work experience, occupation type, and other information. Visualization tools will be used to present data, and these tools will also demonstrate the recruitment needs of enterprises. Then, it will explore how to make targeted recommendations and provide career guidance based on the results of data analysis to promote a better match between enterprises and college students. Finally, the research results will be summarized, and the future research direction and development trend will be prospected.
Research on pneumonia image analysis based on deep learning
Authors: Zhao Danrui
Published: June 2024

Pneumonia is a severe respiratory disease that can pose a significant threat to patients. Since the novel coronavirus (COVID-19) began to spread globally, the pneumonia it causes has led to millions of deaths worldwide. Early diagnosis of pneumonia is a critical step in its treatment, and pulmonary imaging examinations are the most essential tools for diagnosing the condition. While previous papers have summarized the utilization of deep learning in pneumonia image diagnosis, the rapid evolution of deep learning models and algorithms needs a more systematic review of both classical and contemporary models. In this paper, the author employs a systematic review to provide a comprehensive analysis and evaluation of deep learning models for pneumonia imagery, as well as a comparison of these models. It introduces classic models used for processing pneumonia images and also presents the latest research methods. A systematic summary of these deep learning models can help people better understand and learn about deep learning models related to pneumonia imagery, learn from past mistakes, and thereby enhance the precision of deep learning models for pneumonia diagnosis.
Research on UAV-assisted Vehicle networking task unloading strategy based on multi-agent reinforcement learning
Authors: Zeng Fanjin
Published: June 2024

With the development of technology, in order to improve the user’s driving experience and driving safety, there are more and more vehicle tasks with high delay requirements.  Therefore, lots of researchers have paid attention to task offloading scheduling.However, as vehicle tasks become increasingly complex, a single task may consist of multiple subtasks with dependencies between them.The complex data dependencies within them make it more and more difficult to design appropriate task offloading strategies. Considering that this problem is closely related to the scenarios and requirements in the real world, this study focuses on the design of task offloading decisions in the scenario of UAV-assisted vehicle network, in which MEC servers are installed in the macro base station and UAV to provide computing resources for vehicles. We designed a task offloading strategy based on MATD3 algorithm to deal with this problem. Following simulation trials, it is evident that our approach offers notable benefits in terms of both delay and energy usage.
Application of Multimodal Teaching in TESOL and its Impact on Learners’ Language Acquisition
Authors: Yan Yameng
Published: June 2024

The importance of multimodality in TESOL has been apparent in the area of language teaching due to the rapid advancement of technology and the wide range of learning environments. This paper critically evaluates the multimodal teaching method in TESOL and its influence on language acquisition, utilising a theoretical discussion approach. The study employs multimodal theory as its primary research framework and sociocultural theory as its secondary research framework, focusing on the reasons, implementation, and impact of multimodal teaching. The paper provides a brief overview of TESOL’s application of multimodality application in TESOL, then identifies its key impacts on learners’ language acquisition. These impacts, comprising areas of cognition, affection, and skills, are categorised according to the multimodal and sociocultural theory for detailed analysis. Through the theoretical discussion, this paper unveils that the usage of multimodality in TESOL can greatly build up learners’ language skills as well as increase cross-cultural communication capabilities. By evaluating the application and influences in multimodal teaching, the study aims to offer insights that may benefit future research and teaching practice. The paper’s conclusion acknowledges its limitations and suggests future directions.
Analyzing Truth and Fiction in Realist Literature--Taking Mao Dun’s Midnight as an Example
Authors: Deng Minghe , Liu Xin’er
Published: June 2024

Mao Dun was an outstanding writer, artist, and social activist who significantly contributed to modern Chinese literature and revolution. Taking Shanghai in the 1930s as the main background of the era, Midnight, as the masterpiece of Mao Dun’s entire life and the representative work of a realist novel, profoundly impacted modern literature. In the context of the era, Midnight is an exploration outcome of Chinese literature and realism, depicting life in cosmopolitan Shanghai in the last century from political, economic, and military aspects. This paper intends to take Mao Dun’s Midnight as an example to study the revelation of the weight of truth and fiction in realist themes in literary creation for veteran writers and new writers, respectively, and the influence it has had on similar works in the course of the development of realist literature in China and globally. Upon analysis of this paper, it becomes evident that Midnight, as depicted in this significant text, embodies the dual traits of truth and fiction within a novel, which are inherently complementary and essential. Nevertheless, the proportion of authenticity in the content distribution leans towards the higher end, prompting future realist writers to consider the judicious incorporation of fictional elements.
The Interpretation in Cross-Cultural CommunicationChallenges and Strategies
Authors: Li Lin
Published: June 2024

This paper is intended to explore the interpretation of cross-cultural communication (CCC) and analyze the difficulties experienced by interpreters in the CCC. This paper identifies two challenges in CCC, analyses their reasons, and develops two corresponding strategies. This study refers to previous research and combines it with authentic examples. Thus, this paper identifies challenges, including humor, the cultivation of talents, and certain intralingual and extralinguistic facts. The reason for the humor is various cultural backgrounds. At the same time, another reason for cultivating talents is the lack of relevant personnel cultivating programs. However, certain intralingual and extralinguistic facts summarize the whole, leading to an information gap. Overall, the proposed strategies are 1) information processing, which can mobilize the brain; 2) effort distribution, which needs to find out certain measures that are compatible with interpreters. This paper aims to provide a reference for the interpretation of CCC.
An Analysis on the Application of Machine Learning in Bitcoin
Authors: Jin Zhengxian
Published: June 2024

The rapid development of Bitcoin and blockchain technology is shocking. In the development of Bitcoin and other industries, machine learning has contributed a lot and has unlimited potential. It can not only analyze the data in the transaction process, but also bring security and predict the development trend of the market. The combination of multiple technologies promotes the efficiency of Bitcoin transactions, and provides effective support for making correct decisions, which is enough to show that financial technology can still undergo unpredictable changes in the next stage of development. In this research, the application of machine learning technology in the development of Bitcoin is analyzed in depth, especially in improving efficiency, improving intelligent contracts, monitoring transactions and so on. Through the analysis, efficiency and prediction accuracy of the model will change positively because of the application of algorithm and data processing technology. This study also points out the significance of protecting user privacy and enhancing data security, which brings effective strategies for the development of Bitcoin technology, the wide use of encryption technology and the improvement of regulatory efficiency, and fully taps the potential of machine learning.
Application of brain-computer interface in the field of neurobiology
Authors: Shang Zihao
Published: June 2024

With people’s in-depth understanding of the nervous system and the rapid development of the computer and communication fields, brain-computer interfaces have gradually become a reality. As a fusion technology in neurobiology, computer science, and communications, the brain-computer interface (BCI) has great technical advantages. It can not only help disabled people restore some body functions but also expand the field of control and achieve multi-modal control. It can help people gain a deeper understanding of human brain function and the pathogenic mechanisms of the nervous system, and it can even promote human-machine integration, which can improve learning and work efficiency. The content of this research includes the definition, development status, application value, brain-computer pathway, and problem solutions of BCI. Here are the processes of the brain-computer pathway. Firstly, the neural interface is used to extract electroencephalogram (EEG) signals. Secondly, the obtained signals are input to the filter, which can remove the original signal noise and artifacts. Then, the Complementary Ensemble Empirical Mode Decomposition (CEEMD) and Common Spatial Pattern (CSP) are used to extract features of the electroencephalogram (EEG) signals. After that, LightGBM and Harris Hawks Optimizer (HHO) are combined to classify and identify the electroencephalogram (EEG) signals. Finally, the obtained signals are decoded, encoded, and fed back to improve the human-machine fusion effect continuously.
Tour Enhance: A Novel Rule-Based Travel Planning System
Authors: Guan Zihan
Published: June 2024

Tourism significantly contributes to economic growth, particularly evident from China’s rapid post-recovery increase in travel demand. This surge underscores the necessity for accessible, well-organized tourist information. Given the vast number and broad distribution of tourist sites, intelligent filtering and visualization of these locations are crucial. This paper introduces Tour Enhance, an interactive system designed to dynamically exchange information between the system and its users. Unlike traditional static methods, Tour Enhance utilizes real-time processing to tailor travel recommendations to individual user preferences, thereby improving user engagement and satisfaction. This study undertakes three key tasks: statistical analysis and visualization of tourist data, rule-based recommendation generation, and user survey-based evaluation of these recommendations. The effectiveness of Tour Enhance was assessed through a user study with 57 participants, who highly rated the system on interface usability, functionality, and accuracy of recommendations. The results demonstrate that Tour Enhance effectively enhances the travel planning process, highlighting the significant advantages of integrating interactive systems and personalized data visualization in tourism. This research contributes to the advancement of human-computer interaction applications in tourism and lays the groundwork for future studies focused on enhancing user experiences through technological innovations.
The Inner Link between Apolipoprotein E and the risk of Alzheimer’s disease
Authors: Zheng Boyuan
Published: June 2024

Alzheimer’s disease (AD) is a common neurodegenerative disorder that severely affects the quality of life of the elderly. The APOE gene and its encoded apolipoprotein E (ApoE) play a significant role in the pathogenesis of AD, particularly the APOEε4 allele, which is significantly associated with an increased risk of AD. Current research indicates that different alleles of the APOE gene affect brain development, lipid metabolism, and synaptic function, with ApoE4 being associated with cognitive decline and an increased risk of AD. Moreover, therapeutic strategies targeting the APOE gene, such as gene editing techniques and the development of small molecule drugs, are actively being researched to provide new possibilities for the treatment of AD. Nevertheless, many unknowns remain regarding the specific mechanisms of action of the APOE gene in AD and how to effectively utilize this knowledge to develop treatment methods. This article analyzes the structure and function of the APOE gene and its role in AD, discusses the main drugs and strategies currently used in AD treatment, and proposes the potential for future treatments based on the APOE gene. However, further research and exploration are needed to understand the complex relationship between the APOE gene and AD, as well as the long-term effects and safety of treatment methods. With the advancement of technology, there is hope for the development of more effective and safer AD treatment plans in the future, to improve the quality of life of patients and reduce the societal burden.