bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review on the Effects of Multiple Nutritional Scores on Wound Healing after Neurosurgery.
Authors: Ye Jingqian , Ning Bo , Zhi Jianwen
Published: February 2025

Neurosurgery is characterized by high complexity and risk, with postoperative wound healing being a critical factor in surgical success. Wound healing encompasses not only local tissue repair processes but is also influenced by systemic nutritional status. Consequently, both preoperative and postoperative nutritional assessment and support are essential for enhancing recovery and minimizing complications. Malnutrition or overnutrition can negatively impact postoperative wound healing. By utilizing appropriate nutritional scoring tools, healthcare providers can identify potential nutritional risks following surgery and implement corresponding interventions to optimize the recovery process and decrease the likelihood of complications. This review aims to investigate the application and correlation of various nutritional scores in relation to wound healing after neurosurgery. Through a comprehensive review and analysis, the impact of these scores on postoperative wound healing will be evaluated, providing a scientific foundation for clinical practice. The study on postoperative wound healing in neurosurgery is included, and the relationship between different nutritional scores is thoroughly assessed through review analysis to predict their effects on postoperative healing. Future research should further examine the effectiveness of different nutritional scoring tools in specific neurosurgical contexts and integrate individualized nutrition support strategies to offer patients more precise postoperative care plans.
Research on wind speed prediction for Formula 1 grand prix based on multi-scale decomposition and time series neural network model
Authors: Chen Haopeng , Zhao Erjing
Published: February 2025

Wind speed variations have a significant impact on the aerodynamic characteristics of F1 racing cars and the race outcomes. To enhance the accuracy and stability of wind speed forecasting, this paper proposes a method based on multi-scale decomposition and time series neural network models. Initially, wind speed data collected from F1 Grand Prix events between 2018 and 2023 are subjected to Empirical Mode Decomposition (EMD), which decomposes the complex nonlinear and non-stationary time series data into several Intrinsic Mode Functions (IMFs) with different time scales. Subsequently, a Long Short-Term Memory network (LSTM) is utilized to predict each IMF component, and the predicted results of all IMFs are reconstructed into the overall wind speed forecast. Experimental results demonstrate that the method based on multi-scale decomposition and time series neural network models significantly outperforms traditional models such as Random Forest, Gradient Boosting Decision Tree (GBDT), and single LSTM models in terms of forecasting accuracy and stability. This study offers a novel perspective and approach for wind speed prediction in F1 Grand Prix events, with important theoretical significance and practical application value.
Machine learning-based precipitation prediction for Chengdu city
Authors: Hu Enyu
Published: February 2025

Chengdu is located in the western part of the Sichuan Basin, with a humid climate and fertile soil, making it an important agricultural production base. In recent years, seasonal precipitation distribution in Chengdu has been uneven, and extreme precipitation events are frequent. This paper uses a machine learning method to predict precipitation based on seven types of meteorological data including precipitation from January 1990 to December 2023 in Chengdu. Autoregressive Moving Average Model (ARIMA), eXtreme Gradient Boosting (XGBoost), and Random Forest Regression (RFR) are established, support vector Regression (SVR) four machine learning models. The results show that the XGBoost model performs the best among these methods, and it can accurately capture the trend of precipitation, thus providing a reliable means for precipitation prediction and rational planning of water resources in Chengdu. This study contributes by offering a practical application of machine learning techniques to precipitation forecasting, which could inform future strategies for water resource management in the region.
Application analysis of multimedia in primary school mathematics education
Authors: Ge Zhengxuan
Published: February 2025

Multimedia technology, widely applied in the internet+ education model of today, has been extensively used in primary education. This paper analyzes the advantages of multimedia technology in primary school mathematics education, specifically discussing its role in stimulating students' interest in learning, enriching teaching methods, and optimizing the allocation of teaching resources. By using multimedia forms, students can understand abstract mathematical concepts more intuitively and vividly, thereby improving learning efficiency and interest. This paper summarizes a series of strategies for the application of multimedia, particularly pointing out that the reasonable use of multimedia in concept teaching and problem-solving method transmission not only enhances the interactivity of classroom teaching but also strengthens students' independent learning ability and thinking ability. This paper points out that through reasonable design and effective use of multimedia teaching, a pleasant learning atmosphere can be created for students, thereby promoting the mastery of knowledge. At the same time, teachers' teaching efficiency and classroom management ability have also been significantly improved. This study provides theoretical support for how to effectively apply multimedia technology in primary school mathematics teaching and offers valuable practical references for improving the quality of primary school mathematics teaching.
Economic Implications on Public and Private Investments in Education
Authors: Chen Xuanyu
Published: February 2025

Education has always been regarded as one of the key areas of social development and technological advancement for society. This paper examines the multifaceted impacts of education spending from two perspectives: public investments through government expenditures, and private investments through household spending. The paper looks into statistical data of government spending on education, and the findings showcase a rising Gross Domestic Product and return rates. This suggests a correlation between public education expenditures with economic growth and lifetime earnings premium. Furthermore, on the private investments side, there is significant financial commitment from the household spending perspective, which amounts towards the impact on enrollment and educational attainment. It is also shown to have high economic returns of annual spending and long-term economic growth, similar to the impacts of public expenditure. In particular, private tutoring also highlights the inequality in education spending where households contribute more than the public expenditure. Ultimately, both public and private investments in education are significant and act as catalysts towards fostering economic development, enhancing human capital, and long-term growth.
Innovation Trends and Commercialization Strategies in Sports Brand Marketing under Globalization and Digital Transformation
Authors: Liang Yiyun
Published: February 2025

With the acceleration of globalization and the rapid development of the sports industry, the status of sports brand marketing in the global economy has become increasingly prominent. Therefore, it is very necessary to analyze the development of sports brand marketing in the context of digital transformation and market globalization. Through the current situation analysis, this study reveals how sports brands use digital marketing tools such as social media, virtual reality, and online live broadcasting to optimize consumer interactive experience, expand market coverage, and maintain competitiveness in the international market. At the same time, the combination of precision marketing and cultural diversity strategies enhances the emotional connection between brands and consumers and enhances international market influence. However, this study points out that excessive commercialization may weaken consumer loyalty, and brands need to strike a balance between innovation and commercialization to ensure long-term value. However, the limitation of this article is that the main source of data is public cases and literature analysis. In the future, questionnaires or interviews can be used to further explore consumers' acceptance and preference for sports brand marketing strategies in different cultural backgrounds, so as to provide support for brands to formulate more targeted strategies.
Research on Concert Marketing Strategies
Authors: Dai Xi
Published: February 2025

With the gradual improvement of global epidemic prevention and control measures, combined with consumers retailatory spending behavior, the concert industry has entered a new phase of development. The phenomenon of "One performance, one city on fire" has gained momentum, significantly contributing to consumption and economic development. This shows the importance of concerts in promoting urban cultural tourism. However, according to the self-regulation of the market, as the concert market stabilized in 2024 and consumer psychology has gradually become rational, people started to pay more attention to the quality of music itself and the actual experience of performance activities, rather than blindly following the trend or being influenced by marketing tactics. Based on an analysis of the present situation of the concert market, this paper identifies key marketing strategies that address shifting consumer preferences, including the emphasis on price strategies The findings reveal that successful marketing strategies not only boost ticket sales but also promote the development of related industries, such as tourism, catering, accommodation, logistics and other related industries, and further stimulate economic growth. This research provides practical insights for concert organizers to foster innovation and competitiveness in a stabilized market.
Trends in Diabetes Prevalence and Key Influencing Factors in the United States (1950-2021)
Authors: Gao Zihan
Published: February 2025

Diabetes is a growing global health issue, with the United States among the most affected countries. The condition threatens individual health and imposes significant economic and healthcare burdens, worsened by complications such as cardiovascular disease and kidney failure. Addressing these challenges requires understanding the factors driving diabetes prevalence and trends. This study examines diabetes trends, identifies principal risk factors, and evaluates public health strategies to mitigate its effects in the U.S. This research utilizes data on diabetes cases in the United States from 1970 to 2021, obtained from the WHO public health database and the Kaggle diabetes dataset. Through gray relational analysis, variable correlation analysis, and scatter plot analysis, the trends in diabetes prevalence were examined, and key risk factors and their interrelationships were identified. The results indicate that the diabetes prevalence in the United States has been increasing year by year, and this trend is significantly associated with BMI and the resulting increase in blood glucose levels.
Marketing Strategies for Online Self-Produced Variety Shows: A Case Study of Marketing Strategies for King of Comedy: Monologue Season
Authors: Mu Xinyi
Published: February 2025

With the rapid pace of modern life and rising work pressures, audiences increasingly seek variety shows that offer relaxation and entertainment, driving significant growth in the online variety show market. This paper addresses how, amid competition, an online show can capture viewer attention and achieves sustained success. Using the show King of Comedy: Monologue Season by iQIYI as a case study, this research examines the marketing strategies that contributed to its popularity. Specifically, this paper applies a case analysis approach to explore the unique elements of the program's marketing from five core dimensions: interactivity, penetration, resonance, gender balance, and celebrity lineup. The research results show that the combination of innovative marketing strategies and high-quality content production is the key to the success of self-made variety shows. These strategies not only increase audience engagement and interactivity, but also contribute to the long-term sustainable development of the comedy industry.
Board Career Diversity and ESG Performance: Evidence from China
Authors: Jiang Zehui
Published: February 2025

This study analyzes the relationship between boards of directors career background diversity and firms ESG performances. Based on a sample of listed Chinese firms between 2018 and 2023, I find a positive and significant association between board career diversity and overall corporate ESG ratings. Environmental and social performances are both positively related to board career diversity while there isnt significant association between governance performance and board career diversity. Boards with diversified career backgrounds offer varying expertise and broader vision that enhance ESG ratings of corporations. The paper complements the existing studies on the relationship between diverse board composition and ESG performance by noting the importance of board career background diversity. This work also offers practical suggestions to corporate executives and policy makers for promoting diverse board composition and improving ESG performance. This study also suggests avenues for future research to explore the underlying mechanisms driving the relationship between board diversity and corporate ESG ratings.
A Study on the Effectiveness of Celebrity Endorsements in Enhancing Brand Influence:A Case Study of Perfect Diarys Official Weibo
Authors: Zheng Yilai
Published: February 2025

Online buying has emerged as the predominant method of contemporary consumerism. With the rise in online purchases, particularly among the youth, internet shopping alters consumption patterns and raises environmental issues, including the overuse of delivery packing, necessitating regulations on courier box usage. This phenomena demonstrates that online purchasing significantly impacts consumer behaviour. In this context, more companies and brands have realized that utilizing peoples celebrity-following behavior for marketing has become an effective commercial strategy. Many brands collaborate with popular celebrities by employing "celebrity endorsements" to enhance brand awareness and credibility. Consumers often perceive celebrity-endorsed products as more fashionable and trustworthy, sometimes even generating a desire to purchase due to their admiration for the celebrities. Hence, this study analyzed 3,243 posts from Perfect Diarys official Weibo account and found that three common types of celebrity endorsementsdirect mentions of celebrities, the use of celebrity photos or videos, and references to celebrities in promotional eventsfailed to significantly enhance brand popularity. These findings suggest that brands should focus more on practical user engagement and creative activities rather than solely relying on celebrity endorsements.
Strategies for Empowering Supply Chain Risk Management with Big Data
Authors: Zhang Jingwen
Published: February 2025

With the rapid development of big data technology, supply chain risk management is facing unprecedented opportunities and challenges. Big data can not only provide accurate risk prediction and real-time monitoring but also reveal potential supply chain risks through data mining and analysis, so as to help enterprises deal with and avoid risks in advance. This study aims to explore the strategy of supply chain risk management under the power of big data and analyze how big data can effectively identify external and internal risks in the supply chain, especially in the uncertain economic environment and global market, how to improve the transparency, adaptability and risk prevention and control level of the supply chain through big data technology. This study also reveals some problems existing in the process of big data enabled supply chain risk management, such as data leakage, lack of technical capacity, information asymmetry, etc., and puts forward corresponding solutions. Finally, the research shows that supply chain risk management enabled by big data can not only enhance supply chain stability but also provide enterprises with effective risk response solutions and promote the intelligent development of supply chain management.
The Impact of Government Investment Expenditure on Consumption and Green Investment
Authors: Zhang Ruiqi
Published: February 2025

As an important part of financial decision-making, government investment expenditure is of key significance for activating economic growth, optimizing industrial structure, enhancing employment rate and providing public services. The article first reviews the definition and category of investment expenditure and its leverage effect on economic growth and its impact on household consumption, consumption heterogeneity and the release of consumption potential. Through theoretical deduction and empirical analysis, it reveals its important role and application mechanism under the background of current global economic fluctuations. Subsequently, the paper takes the macro variables such as interest rate level, exchange rate fluctuation, inflation rate as reference, systematically analyzes the influence of macroeconomic environment on investment expenditure, and at the same time discusses the regulatory effect of fiscal policy and the specific effect of counter-cyclical investment strategy. With examples of typical countries such as the United States, China, Europe and Japan, evaluating the differences and lessons of public investment policies of different governments, focusing on the demonstration effect of high-speed rail construction, clean energy and urban agglomeration transportation network in investment expenditure projects, as well as the flow and utility of rural revitalization strategic funds. The paper finally points out the investment efficiency, the concentration of capital use and the evaluation mechanism. On the whole, the research not only enriches the theoretical framework of investment expenditure, but also provides scientific reference for policy formulation and implementation.
The Contradiction Between Contemporary Chinese Female Artists and the Art Market Management Mechanism
Authors: Dou Yiqing
Published: February 2025

Chinese contemporary female artists face complex contradictions between gender, culture, and market mechanisms in the art market. Despite the continuous improvement of the creative level and influence of female artists, in the art market management mechanism, their works often encounter market bias, gender discrimination in evaluation criteria, and unequal exhibition and sales opportunities. The highly commercialised and marketised tendency of the art market often ignores the artistic value of female artists, which makes the economic return and cultural status of their works relatively low. Based on our literature review and the analysis of the market activity trajectory of contemporary female artists in China, we will explore the impact of gender bias on the market mechanism, and further study the structural problems in the art market management mechanism. The main discussion object of the article is based on the art market since the first auction held in China in 1992. The article aims to reveal the cultural and social factors behind the contradictions between female artists and the art market management mechanism, and provide references for promoting gender equality in the art market and the better development of female artists.
The Application and Reflection of Endowment Effect on the E-commerce Platforms and Merchants in China
Authors: Huang Yilin
Published: February 2025

This paper searches todays situation about how the endowment effect influences the online shopping platform and merchants. As one of the most important theories of behavioral economics, the endowment effect has extensive influence on consumer behaviour and decision-making. This paper is based on comparing the marketing strategies of different shopping online platforms and reviewing many of the latest relevant literatures. So, in this paper, the applications of the endowment effect on the platforms and merchants are introduced, including Buy Now, Pay Later, Marketing Language in Live-streaming e-commerce, Recommendation algorithm design for online shopping platform and membership systems. It found that the endowment effect is widely used in the field of e-commerce and the online shopping market and is a highly effective tool for incentivizing consumption. However, in recent years, due to its excessive use and some cases of misuse, consumers have experienced resistance and negative emotions toward such marketing strategies.
A Comparative Exploration of CNNs and ViTs in Deep Learning-Based Human Body Recognition
Authors: Zou Chenghan
Published: February 2025

Human body recognition is crucial for enhancing security, facilitating human-robot interaction, and improving accessibility for people with disabilities. The integration of deep learning techniques has revolutionized the field, significantly boosting the accuracy and efficiency of body recognition systems. This advancement not only improves security but also enriches the user experience in various applications, from healthcare to entertainment. This study explores the application of Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), Selective Kernel Networks (SKNs), and Adaptive Kernel Convolution (AKConv) in identifying individuals from a distance. Leveraging transfer learning from large-scale datasets like ImageNet, evaluation of these models on a standardized human body recognition dataset, focusing on the trade-off between recognition performance and computational efficiency. Findings underscore the potential of SKNs and AKConv in achieving high accuracy with reduced computational demands, paving the way for their deployment in resource-constrained environments. The research contributes to the development of more efficient recognition algorithms and provides insights for future advancements in the field.
Advanced Optimization Strategies and Future Prospects for Data Fusion in Wireless Sensor Networks
Authors: Wang Sicheng
Published: February 2025

Data fusion in wireless sensor networks (WSNs) has emerged as a key technology for managing the increasing complexity of modern sensing applications. This paper presents a comprehensive analysis of optimization strategies for data fusion in WSNs, examining both theoretical frameworks and practical implementations. In particular, it reviews recent advances in optimization algorithms, including nature-inspired computation, deep learning approaches, and hybrid models, which shows performance improvements of up to 45% in terms of energy efficiency and fusion accuracy. The integration of edge computing and federated learning has revolutionized multi-sensor fusion techniques, particularly in industrial applications where real-time processing is crucial. Also, it covers performance evaluation frameworks, revealing that context-specific optimization can enhance fusion performance by up to 50% compared to generic approaches. Furthermore, the paper investigates current challenges, including energy constraints, security vulnerabilities, and scalability issues, and explores promising future research directions, including quantum computing integration, edge artificial intelligence (AI) development, and cross-domain fusion optimization. The results show that adaptive intelligent fusion systems are becoming increasingly important in meeting the evolving needs of WSN applications across various domains.
Application of Principal Component Analysis and BP Neural Network Algorithm in Stock Price Prediction
Authors: Chen Xianjun
Published: February 2025

Stock price fluctuations are influenced by numerous interrelated factors. Traditional stock price prediction models, including neural networks, often fail to account for these correlations effectively, leading to lower prediction accuracy. To improve prediction performance, this paper integrates Principal Component Analysis (PCA) with a Backpropagation (BP) neural network, proposing a dynamic PCA-BP model for stock price forecasting. Simulation experiments conducted on the stock prices of selected listed enterprises demonstrate that the PCA-BP model exhibits varying performance across different experimental groups. The findings indicate that while the combined model enhances prediction accuracy, its generalization capability requires further optimization for practical applications.
高职院校职业指导模式的探索与实践
Authors: 李 悦
Published: February 2025

随着我国产业升级和经济结构调整的步伐加快，社会对技能型人才的需求日益增长，因此，高等职业院校作为培养此类人才的主要阵地，其学生的职业发展状况对行业经济和社会发展具有重要影响。基于此，国家不断提高对高等职业院校职业指导工作的重视程度，近年来，《“十四五”职业技能培训规划》、《职业院校全面开展职业培训 促进就业创业行动计划》等一系列关联政策相继出台，不仅为高等职业院校学生提供了更加广阔的发展空间，也为实现更高质量的职业指导指明了路径。综上，依据产业发展需求及对有关政策的贯彻落实，本文聚焦高等职业院校大学生群体，同时，针对当前高等职业院校在职业指导实际操作中存在的“指导形式单一化”、“个性化服务欠缺”、“跟踪指导不连贯”三项重点问题展开剖析，并结合问题成因，论述实现更高质量的职业指导的具体措施。
Biodiversity and renewable energy in a warming world: Pathway to mitigate climate change while preserving ecosystem
Authors: Kafumu Danford William , Ojija Fredrick
Published: February 2025

This review examines the dual roles of renewable energy in mitigating climate change and preserving biodiversity. It looks at the direct and indirect impacts of renewable energy on biodiversity and highlights strategies for striking a balance between energy development and ecological conservation. The global climate crisis demands immediate action, and renewable energy is a key component of efforts to mitigate climate change. However, while renewable energy technologies like solar, wind, and bioenergy hold significant potential to reduce greenhouse gas emissions, their deployment also presents risks to biodiversity. The relationship between renewable energy and biodiversity conservation is complex, as energy infrastructure can cause habitat destruction, ecosystem disruptions, and habitat fragmentation, potentially aggravating the very environmental challenges that renewable energy seeks to address. Whereas renewable energy technologies can lessen the environmental impact of human activity, their widespread use may have unforeseen effects on species and ecosystems. If not properly managed, renewable energy projects have the potential to cause major changes in land use, including desertification, deforestation, and the disruption of delicate ecosystems. Ecosystems may also be harmed by the exploitation of raw resources for renewable energy, such as lithium for batteries and rare earth elements for wind turbines. This review examines the main obstacles to coordinating the growth of renewable energy with the preservation of biodiversity, including the effects of wind farms on bat and bird populations, the way hydropower dams change river ecosystems, and the possibility that bioenergy crops would supplant native flora. It then suggests ways to lessen these effects, such as improved site design, more effective energy systems, and incorporating biodiversity concerns into legislative frameworks. In order to guarantee that renewable energy contributes to a sustainable future for both climate and biodiversity, the study concludes by highlighting the necessity of a multidisciplinary strategy that combines energy and conservation policy.
Features of legal responsibility in the medicines market
Authors:   High School of Business and Law, Kazakh National Agrarian Research University, Satbayeva A.M.
Published: February 2025

The presented article reveals the issue of the procedure for bringing to legal responsibility for causing harm with low-quality or expired medicines. Considering that causing harm to a citizen's life or health diminishes his personal intangible goods, entails physical or moral suffering, the victim has the right to compensation for moral and material damage. Despite the specific obligation of the seller - to transfer the drug to the buyer in the amount and assortment in which it is indicated in the prescription for the purchase of a prescription drug, no special civil liability for violation of this obligation by the legislator is provided. It seems that, in this case, one should be guided by the general norms on liability for violation of the obligation, and property liability in the form of compensation for losses will arise for the seller of medicines. Illegal behavior also includes violation of the rules for the storage of medicines, the rules for the sale of medicines, and the rules for the manufacture. The cause of harm may be the introduction of a poor-quality medicinal product into civil circulation, inaccurate information contained in the instructions for use of the medicinal product, the use of a medicinal product that has become unusable as a result of violation of storage rules, rules for the wholesale of medicinal products, rules for the distribution of medicinal products, rules for the manufacture and distribution of medicinal products.
Concept of assignment: historical background for the formation of the modern concept
Authors:   Caspian Public University, Charles University in Prague, Galinskaya Yu.V.
Published: February 2025

The article discusses the concept of assignment. The author draws attention to the historical prerequisites for the formation of the modern concept. This article attempts to examine the application of the term “cession” to various legal concepts over the past two thousand years. The author notes that today many researchers of the assignment of the right of claim consider the historical aspects of the formation of this concept in Roman law. However, the issue of introducing the concept of cessio bonorum into Roman law remains beyond the scope of many studies. Roman law influenced the formation of civil legislation in many countries, and the law of obligations reached its greatest development among the Romans. And modern civil law allows for assignment in various legal structures.
Research progress on physiological differentiation and mechanism of citrus flower buds
Authors: Shi Guoji , Zhang Dejian
Published: February 2025

Flower bud physiological differentiation is the key transition from vegetative growth to reproductive growth, which includes physiological and biochemical changes, transcriptional regulation, epigenetic modification, protein modification and signal transduction. The flower formation of citrus refers to the process of its axillary buds gradually transforming into flower buds. To understand this process deeply is of great significance for mastering the phenological law of citrus, accurately regulating its flowering time, off-season cultivation and breeding of new varieties. In this paper, the physiological differentiation process of citrus flower bud was systematically reviewed, and the regulation effects of internal and external factors on this process were discussed, as well as the recent progress of related genes involved in regulation. In addition, the regulation map of citrus flower formation pathway is also drawn to show the complex regulatory network in an intuitive form. Finally, the future trend and direction of citrus flower bud differentiation research were prospected in order to provide reference for related research.
Language Governance and Policy Interaction: New Trends in Language Planning in China in the Digital Age
Authors: Jin Yuzhuo
Published: February 2025

With the advent of the digital era, the role of language has changed from a mere communication tool to a key resource of the information age and an important carrier of cultural inheritance. Through a comprehensive examination of policy documents, academic research, and case studies, we discuss the implementation and effectiveness of China's language resources protection project, the application of intelligent language services in public services, and the digital transformation of international Chinese language education, to reveal the internal logic of the interaction between language governance and policy. Policy recommendations are put forward to strengthen the integration and management of linguistic data, promote the healthy development of linguistic intelligence technology, and build a language governance system with pluralistic participation, in order to promote scientific, precise and intelligent language planning in China, which will help to enhance the national linguistic capacity and strengthen cultural soft power.
A Study of Impacts of Audiovisual Input Modes on Incidental Vocabulary Acquisition in Second Language Learning
Authors: Zhuo Rongrong , Wang Yuqing
Published: February 2025

This literature review aims to analyze previous studies exploring the impact of audiovisual input modes on incidental vocabulary learning in second language acquisition. The articles included in this literature review look into the combination of language modalities, subtitle presentation modes, and the diversity of video types that affect incidental vocabulary learning. The findings show that L2 learners develop much of their vocabulary by incidental means through exposure to words in audiovisual contexts. Moreover, this exposure is promoted by viewing and enhanced through multimodal glosses. Further research may focus on leveraging AI-powered language learning apps to enhance listening for higher lexical retention rates, investigating the application scenarios of AI-driven video analysis tools in uncovering the circumstances that allow incidental learning of multi-word phrases and collocations and exploring the integration of AI technologies such as machine translation and speech recognition in the use of technology-based methods for incidental vocabulary acquisition.
KHOTBAH DI GEREJA: PANGGILAN, PROFESI ATAU PROFITABEL? ANALISIS URGENSI KHOTBAH DALAM PELAYANAN GEREJA MASA KINI BERDASARKAN PERSPEKTIF JOHANES CALVIN
Authors: Alfons Pandie Daud
Published: February 2025

Tujuan penelitian ini adalah untuk membahas tentang urgensi khotbah sebagai pendekatan teosentris dan pendekatan antroposentris dalam perspektif Johanes Calvin. Dalam realitas gereja masa kini di mana pengaruh filsafat materialisme dan unilitarianisme, dan hedonisme telah masuk mempengaruhi gereja, kajian ini menjadi menarik untuk dilakukan. Penelitian ini menggunakan metode kualitatif dengan melakukan penelusuran terhadap berbagai literatur yang terkait dengan substansi pembahasan dalam tulisan ini. Berdasarkan pembahasan yang dilakukan ditemukan bahwa tedapat empat tantangan dalam pelayanan khutbah gereja pada masa kini, yaitu: Pengaruh Presuposisi Dasar Khotbah, Pengaruh Filsafat Dunia, Pengaruh Pola Hidup Postmodern, Penyalahgunaan Roh Kudus di dalam Berkhotbah. Berdasarkan perspektif Johanes Calvin, maka ada empat hal yang menjadi standar dalam pelayanan khutbah gereja, yaitu: menuntun Pada Hermeneutika yang Benar (Penafsiran Alkitab dengan Benar), Bersandar Kepada Pimpinan Roh Kudus, berpusat pda Firman dan Roh Kudus, berkorelasi dengan dinamika Kehidupan Kristen dan Hati yang Berpusat pada Kehendak Allah.
THE CHRISTIAN EDUCATION APPROACH IN GUIDING THE DIGITAL GENERATION TO ADDRESS SOCIAL MEDIA AND TOXIC BEHAVIOR
Authors: Zalukhu Amirrudin
Published: February 2025

The rapid expansion of social media has introduced both opportunities and challenges, particularly for the digital generation. Toxic behaviors such as cyberbullying, hate speech, and cancel culture have emerged as significant concerns, impacting mental health and social relationships. This study explores how Christian education can guide the digital generation in addressing these toxic behaviors by integrating core values like love, empathy, forgiveness, and self-control. Using a qualitative literature review approach, this research examines theoretical perspectives and case studies highlighting the role of Christian teachings in fostering ethical online behavior and promoting digital responsibility. The findings reveal that Christian education provides a transformative framework for equipping youth with the moral and spiritual tools necessary to navigate the complexities of social media.
Transformative impact of point-of-care testing in critical care
Authors: Dabla Pradeep K , Dabas Aashima
Published: February 2025

The advent of point-of-care testing (POCT) has revolutionized the approach to patient management, especially for pediatric care. POCT provides rapid, on-the-spot biochemical and microbiological evaluations, bypassing delays typically associated with central laboratory testing, enabling swift clinical decision-making. Additionally, POCT has proven to be a valuable prognostic tool for monitoring electrolyte, lactate, creatinine levels, often a marker of severe illness and poor outcomes. POCT enables its faster identification, allowing for prompt interventions. This capability is essential in managing conditions like sepsis, where timely treatment can significantly impact survival rates. However, the implementation of POCT is not without its challenges. Variability in sample handling, particularly with heparinized syringes, can affect the accuracy of certain measurements, such as potassium levels. The absence of comprehensive follow-up data and cost-effectiveness analyses in some studies indicate the need for continued research to optimize the use of POCT. In conclusion, POCT is a transformative tool in critical care, offering prompt and reliable assessments that significantly enhance patient management. As technology advances, the integration of POCT into emergency departments and intensive critical care units holds great promise for improving the quality of healthcare and patient survival rates.
Driving pressure in acute respiratory distress syndrome for developing a protective lung strategy: A systematic review
Authors: Alzahrani Hassan A , Corcione Nadia , Alghamdi Saeed M , Alhindi Abdulghani O , Albishi Ola A , Mawlawi Murad M , Nofal Wheb O , Ali Samah M , Albadrani Saad A , AlJuaid Meshari A , Alshehri Abdullah M , Alzluaq Mutlaq Z
Published: February 2025

BACKGROUND

Acute respiratory distress syndrome (ARDS) is a critical condition characterized by acute hypoxemia, non-cardiogenic pulmonary edema, and decreased lung compliance. The Berlin definition, updated in 2012, classifies ARDS severity based on the partial pressure of arterial oxygen/fractional inspired oxygen fraction ratio. Despite various treatment strategies, ARDS remains a significant public health concern with high mortality rates.

AIM

To evaluate the implications of driving pressure (DP) in ARDS management and its potential as a protective lung strategy.

METHODS

We conducted a systematic review using databases including EbscoHost, MEDLINE, CINAHL, PubMed, and Google Scholar. The search was limited to articles published between January 2015 and September 2024. Twenty-three peer-reviewed articles were selected based on inclusion criteria focusing on adult ARDS patients undergoing mechanical ventilation and DP strategies. The literature review was conducted and reported according to PRISMA 2020 guidelines.

RESULTS

DP, the difference between plateau pressure and positive end-expiratory pressure, is crucial in ARDS management. Studies indicate that lower DP levels are significantly associated with improved survival rates in ARDS patients. DP is a better predictor of mortality than tidal volume or positive end-expiratory pressure alone. Adjusting DP by optimizing lung compliance and minimizing overdistension and collapse can reduce ventilator-induced lung injury.

CONCLUSION

DP is a valuable parameter in ARDS management, offering a more precise measure of lung stress and strain than traditional metrics. Implementing DP as a threshold for safety can enhance protective ventilation strategies, potentially reducing mortality in ARDS patients. Further research is needed to refine DP measurement techniques and validate its clinical application in diverse patient populations.
Incidence and outcome of rhabdomyolysis after type A aortic dissection surgery: A retrospective analysis
Authors: Sivadasan Praveen C , Carr Cornelia S , Pattath Abdul Rasheed A , Hanoura Samy , Sudarsanan Suraj , Ragab Hany O , Sarhan Hatem , Karmakar Arunabha , Singh Rajvir , Omar Amr S
Published: February 2025

BACKGROUND

Rhabdomyolysis (RML) as an etiological factor causing acute kidney injury (AKI) is sparsely reported in the literature.

AIM

To study the incidence of RML after surgical repair of an ascending aortic dissection (AAD) and to correlate with the outcome, especially regarding renal function. To pinpoint the perioperative risk factors associated with the development of RML and adverse renal outcomes after aortic dissection repair.

METHODS

Retrospective single-center cohort study conducted in a tertiary cardiac center. We included all patients who underwent AAD repair from 2011-2017. Post-operative RML workup is part of the institutional protocol; studied patients were divided into two groups: Group 1 with RML (creatine kinase above cut-off levels 2500 U/L) and Group 2 without RML. The potential determinants of RML and impact on patient outcome, especially postoperative renal function, were studied. Other outcome parameters studied were markers of cardiac injury, length of ventilation, length of stay in the intensive care unit), and length of hospitalization.

RESULTS

Out of 33 patients studied, 21 patients (64%) developed RML (Group RML), and 12 did not (Group non-RML). Demographic and intraoperative factors, notably body mass index, duration of surgery, and cardiopulmonary bypass, had no significant impact on the incidence of RML. Preoperative visceral/peripheral malperfusion, though not statistically significant, was higher in the RML group. A significantly higher incidence of renal complications, including de novo postoperative dialysis, was noticed in the RML group. Other morbidity parameters were also higher in the RML group. There was a significantly higher incidence of AKI in the RML group (90%) than in the non-RML group (25%). All four patients who required de novo dialysis belonged to the RML group. The peak troponin levels were significantly higher in the RML group.

CONCLUSION

In this study, we noticed a high incidence of RML after aortic dissection surgery, coupled with an adverse renal outcome and the need for post-operative dialysis. Prompt recognition and management of RML might improve the renal outcome. Further large-scale prospective trials are warranted to investigate the predisposing factors and influence of RML on major morbidity and mortality outcomes.
Psychological first aid in the intensive care unit
Authors: Adams Traci N , North Carol S
Published: February 2025

The intensive care unit (ICU) is a stressful environment for patients and their families as well as healthcare workers (HCWs). Distress, which is a negative emotional or physical response to a stressor is common in the ICU. Psychological first aid (PFA) is a form of mental health assistance provided in the immediate aftermath of disasters or other critical incidents to address acute distress and re-establish effective coping and functioning. The aim of this narrative review is to inform the development and utilization of PFA by HCWs in the ICU to reduce the burden of distress among patients, caregivers, and HCWs. This is the first such review to apply PFA to the ICU setting.
Association between neutrophil-to-lymphocyte ratio and hematoma expansion in spontaneous intracerebral hemorrhage: A systematic review and meta-analysis
Authors: Loggini Andrea , Hornik Jonatan , Henson Jessie , Wesler Julie , Hornik Alejandro
Published: February 2025

BACKGROUND

Hematoma expansion (HE) typically portends a poor prognosis in spontaneous intracerebral hemorrhage (ICH). Several radiographic and laboratory values have been proposed as predictive markers of HE.

AIM

To perform a systematic review and meta-analysis on the association of neutrophil-to-lymphocyte ratio (NLR) and HE in ICH. A secondary outcome examined was the association of NLR and perihematomal (PHE) growth.

METHODS

Three databases were searched (PubMed, EMBASE, and Cochrane) for studies evaluating the effect of NLR on HE and PHE growth. The inverse variance method was applied to estimate an overall effect for each specific outcome by combining weighted averages of the individual studies’ estimates of the logarithm odds ratio (OR). Given heterogeneity of the studies, a random effect was applied. Risk of bias was analyzed using the Newcastle-Ottawa Scale. The study was conducted following the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines. The protocol was registered in PROSPERO (No. CRD42024549924).

RESULTS

Eleven retrospective cohort studies involving 2953 patients were included in the meta-analysis. Among those, HE was investigated in eight studies, whereas PHE growth was evaluated in three. Blood sample was obtained on admission in ten studies, and at 24 hours in one study. There was no consensus on cut-off value among the studies. NLR was found to be significantly associated with higher odds of HE (OR = 1.09, 95%CI: 1.04-1.15, I 2 = 86%, P < 0.01), and PHE growth (OR = 1.28, 95%CI: 1.19-1.38, I 2 = 0%, P < 0.01). Qualitative analysis of each outcome revealed overall moderate risk of bias mainly due to lack of control for systemic confounders.

CONCLUSION

The available literature suggests that a possible association may exist between NLR on admission and HE, and PHE growth. Future studies controlled for systemic confounders should be designed to consolidate this finding. If confirmed, NLR could be added as a readily available and inexpensive biomarker to identify a subgroup of patients at higher risk of developing HE.
Role of interventional pulmonology in intensive care units: A scoping review
Authors: Halawa Abdul Rahman R , Farooq Saad , Amjad Mohammad Asim , Jani Pushan P , Cherian Sujith V
Published: February 2025

Interventional pulmonology (IP) represents a rapidly growing and developing subspecialty within pulmonary medicine. To the intensivist, given the elaborate undertakings with respect to airway, lung and pleural disease management-IP has shown an increasing presence and remain a major ally in the care of these patients. Thus, an understanding of the different roles that IP could offer to the intensivist is of prime importance in the multi-disciplinary care of the complex patients within the intensive care units, particularly in relation to lung, airway and pleural diseases. This review article will explore the different intersections of IP in critical care and discuss the applications of this discipline within the highly complex critical care environment.
Bioinformatics approaches for cancer biomarker discovery
Authors: Mishra Gaurav , Rahi Saloni
Published: February 2025

Cancer biomarker discovery is essential for early diagnosis, prognosis, and personalized treatment strategies. Recent advancements in bioinformatics have significantly enhanced the identification of novel biomarkers, providing deeper insights into the molecular underpinnings of cancer. This review explores various bioinformatics approaches used in cancer biomarker discovery, including genomics, transcriptomics, proteomics, and metabolomics. We discuss how high-throughput sequencing, data integration, and machine learning tools enable the identification of diagnostic, prognostic, and predictive biomarkers across cancer types. Additionally, the review highlights the challenges associated with cancer biomarker discovery, such as data heterogeneity, validation issues, and ethical concerns. Furthermore, emerging technologies like single-cell RNA sequencing, CRISPR-based screening, and 3D tumor modeling are shaping the future of cancer biomarker research, enabling a more personalized approach to cancer treatment. Bioinformatics is pivotal in driving precision medicine, facilitating the development of targeted therapies based on tumor-specific biomarkers. As these technologies continue to evolve, bioinformatics will play a crucial role in advancing cancer diagnosis, improving treatment outcomes, and ultimately enhancing patient survival.