bluuebunny/crossref_metadata_2025 huggingface dataset:
Örnek Olay Eğitim Yönteminin Hemşirelik Eğitimi Açısından Öneminin Belirlenmesi ve Hemşirelikte Yönetim Eğitimine Bakış Açısı Kazandırılması: Bir Sistematik Derleme
Authors: Yerköy Ateş Aysun , Yerköy Samet
Published: August 2024

Amaç: Bu çalışmada, çağdaş eğitim yöntemlerinden biri olan örnek olay/vaka yönteminin hemşirelik eğitimi açısından değerlendirilmesi ve hemşirelikte yönetim eğitimine bakış açısı kazandırılması amaçlanmıştır.
Yöntem: Sistematik derleme olarak yürütülen çalışmada, Kasım 2022-Ocak 2023 tarihleri arasında PubMed, Science Direct, EBSCO host, Medline, Ulusal Tez Merkezi ve Google Akademik dizinleri incelenmiştir. Tarama yapılırken ulusal ve uluslararası veri tabanları için “örnek olay yöntemi, örnek olay eğitim yöntemi, hemşirelikte örnek olay yöntemi ve vaka tabanlı öğrenme, hemşirelikte yönetim eğitiminde örnek olay yöntemi” anahtar kelimelerinin birleştirmeleri kullanılmıştır.
Bulgular: Yapılan taramalarda toplam 915 kayda ulaşılmış olup değerlendirme ölçütlerini karşılayan toplam 18 makale inceleme kapsamına alınmıştır. İncelenen çalışmaların %17’si nitel, %6’sı tanımlayıcı nitelikte olmakla beraber %54’ü randomize ve randomize olmayan kontrollü deneysel çalışmalardır. Çalışmaların çoğunluğunda (%56) örnek olay eğitim yöntemi ile geleneksel yöntem karşılaştırılırken, bir kısmında (%39) ise uygulamacıların görüşlerine odaklanılmıştır. İncelenen tüm çalışmalarda uygulama hakkında olumlu değerlendirmeler ve faydalı sonuçlar saptanmıştır.
Sonuç: Hemşirelik eğitiminde örnek olay yöntemi kullanımı hemşirelik akademisyenleri açısından eğitimde yer verilmesi gereken önemli bir konu olmakla beraber hemşirelik öğrencilerinin temel mesleki gelişimine olumlu katkılar sunmakta ve hemşirelikte yönetim eğitiminde kullanılması ile yönetim becerileri gelişmektedir.
The Prevalence of Self-Exploitation in Media Production: Analyzing the Impact of Technological and Societal Transformations
Authors: Wang Niqin
Published: August 2024

The development of science and technology and the changes of society have given a new look to traditional conceptual work. The developed network and ubiquitous communication have broken the time and space boundaries of work. Working from home has become a reality. Some people continue to predict that work will become a relaxed enjoyment. But the reality is frustrating. Not only did people not relax, but they also took on increasingly heavy work pressures. The boundaries between work and leisure are eliminated by heavy business, and the office is transformed into a place where people spend the most time. Therefore, work is no longer a pleasure, but self-exploitation behaviour. The unstable and unsafe nature of creative work in the media industry creates stress and anxiety, and the strong emotional pleasure associated with this kind of work exists. The tension between "pleasure" and "pain" in creative occupations has been fully proven. Unstable labour has now become a key feature of creative work. Creative occupations are driven by self-fulfilling desires and are places for exploitation and serious insecurity.
Changes and Mechanisms of Social Interaction Models in the Digital Age
Authors: Lv Jiaqi , Zhang Maoyuan
Published: August 2024

In the wave of the digital age, technology is rapidly evolving from Web 1.0 to Web 2.0 and moving towards the new era of the metaverse. Social media, as a pioneer of this transformation, has deeply permeated peoples daily lives, reshaping our social interaction models. The rise of companion socialization is a typical phenomenon in this transformation, reflecting significant changes in social interaction models in the digital age. This paper aims to systematically review the notable changes in social speed, social subjects, and social methods during the evolution of social media, and to deeply analyze the reasons behind these changes. By exploring the mechanisms of market evolution, platform manipulation, and user addiction, this study seeks to help people better understand the pros and cons of social media, adopt a more rational attitude towards the social challenges of the digital age, and promote the construction of a healthy social ecosystem.
Research progress on the impact of Suaeda salsa on carbon cycling in coastal wetland ecosystems
Authors: shan He
Published: August 2024

With the deepening global warming crisis, studying the potential carbon sequestration capacity of coastal ecosystems is of significant importance for achieving carbon neutrality goals. This paper employs a literature review method to summarize recent relevant literature on the involvement of Suaeda salsa in carbon cycling, as well as the impacts of climate warming and human activities on its growth and carbon sequestration capacity. The research finds that Suaeda salsa exhibits good carbon sequestration capabilities, with climate warming and increased salinity promoting its growth, while the impact of different growth stages on carbon sequestration is minimal, making it superior to other halophytes. However, human activities have led to the widespread loss of Suaeda salsa. In the future, Suaeda salsa may become the dominant vegetation in some coastal wetland areas and play a significant role in carbon fixation and salinization improvement.
Fast audio signal denoising with low-rank approximation using windowed singular value decomposition of frequency division
Authors: Li Tieyun
Published: August 2024

The method of constructing Hankel matrices and using low-rank approximation has been demonstrated to be an effective approach to audio denoising. However, the significant computational complexity and the trade-off between the denoising quality and the loss of effective signal remain open issues. This paper proposes a denoising method based on frequency-divided Windowed Singular Value Decomposition (WSVD) and exploits the low-rank characteristics and frequency features commonly found in audio signals including speech and music recordings. The method incorporates an improved Lanczos Bidiagonalization algorithm to accelerate the singular value decomposition with low error and high tolerance. Furthermore, techniques are added at the window junctions to maintain the continuity and smoothness of the final audio, thus achieving denoising efficiently and effectively. This paper also assesses the influence of window segmentation length, main frequency domain characteristics, rank selection of Hankel matrix and characteristics of different noises on the final denoising effect. Finally, the denoising algorithm's robustness and effectiveness are validated through simulations and experiments.
A Bayesian hypothesis testing model for quality control of mass customized cabinet manufacturing process
Authors: Yuheng Ren , Guo Weipeng , Li Yufan , Ni Yiming , Miao Lei
Published: August 2024

The demand for customization of cabinets and homes has increased, and customized product components are cumbersome in size and time-consuming. In order to realize the mass production of customized cabinet furniture, research from the custom design, optimization of factory machine production process and quality inspection, as well as the flow of the way, is to realize the fundamental method of large-scale production of cabinet furniture. Based on modern intelligent information processing functions instead of manual ordering, order splitting, and unit parts for reasonable division of classification, optimize the topology of the production line, to achieve modern intelligent production of panels. However, in the production process, there is a lack of on-line inspection of some links, and the yield of the product is affected. This thesis establishes a Bayesian hypothesis testing model based on the topological model of the production line process, and through the actual production data, the defective nodes of the manufacturing process are retraced to achieve the purpose of optimizing the customized production.
Gesture recognition and classification based on Newton Raphson optimised XGBoost algorithm
Authors: Guo Jiaming
Published: August 2024

In this study, the XGBoost algorithm is improved using the state-of-the-art Newton-Raphson Optimisation Algorithm (NRBO) for the detection of EMG signals and for gesture recognition and classification. On the training set, we observed four gesture types: stationary hand, clenched fist hand, wrist flexion, and wrist extension, all of which achieved 100% accuracy in prediction. While a total of 210 gestures were correctly predicted on the test set, only three gestures were incorrectly predicted. Specifically, a hand that was supposed to be stationary was mispredicted as clenched fist, a gesture that was supposed to be wrist flexion was mispredicted as stationary, and a hand that was supposed to be stationary was mispredicted as wrist extension. Overall, our proposed XGBoost model based on NRBO optimisation exhibits 98.59% accuracy and performs well in gesture prediction and classification. This study is significant, not only improving the accuracy and efficiency of EMG signal processing techniques, but also providing useful insights for future research in related fields.
The Impact of China's Digital Finance on the Financial Industry and Enterprises and Its Future Development
Authors: Wu Tong
Published: August 2024

As a new product formed by traditional finance through the empowerment of technology, digital finance has a significant impact on the financial industry and enterprises. China's digital finance has achieved a leading position in terms of development level and popularity worldwide. Over the past decade, the ecosystem of digital finance has gradually grown and formed in China, and integrated into the traditional financial system, profoundly changing China's original financial landscape. In this regard, this paper first starts from the impact of China's digital finance on the traditional financial system, specifically analyzing the challenges it poses to payment and settlement structures, information matching methods, and data advantages. Secondly, this paper explores the impact of digital finance on commercial banks and general enterprises. Finally, this paper briefly discusses the future development of digital finance in China. The development of China's digital finance reflects the regularities that exist in the process of digital finance development which has certain enlightening significance for the development and improvement of digital finance system around the world.
Research on Museum Brand Communication Strategy Based on AISAS Model
Authors: Wang Tianyi
Published: August 2024

With the continuous development of the economy and the improvement of cultural confidence, the cultural demand and consumption scale represented by museum visits are growing rapidly. This study takes Dentsu's AISAS (Attention-Interest-Search-Action-Share) model as the theoretical analysis framework to analyze museum users' consumption behaviors in the Internet era, to explore museum brand communication strategies adapted to the new era. A total of 209 valid questionnaires were received in this study. The research finds that in the new media era with the popularization of the Internet, the behavior of museum users has changed from one-way passive to active searching and sharing. Based on the brand communication of museums, the author puts forward countermeasures and suggestions: multi-channel communication to enhance audience contact and attention; Enrich the content and methods to enhance the interest of the audience; Enrich the information channels to facilitate the audience to take the initiative to obtain information; The combination of physical and virtual museums enhances the convenience of participation; Enhance brand influence, cultivate audience loyalty and enhance sharing initiative.
Towards a Personalized Seat Selection System of High-Speed Rail Based on Feasibility and Desirability
Authors: Zhou Ziyi , Zou Muhang , Zhang Yujie , Zhou Shuyao
Published: August 2024

To conduct this research, we identified the current high-speed rail (HSR) market and passenger experience satisfaction with HSR. Then, we developed a personalized seat selection system that could assign passengers to different seats based on their own preferences by collecting their basic information. In the current HSR field, the existing research mainly focuses on improving hardware, such as seat comfort, high-speed rail traveling speed, and high-speed rail traveling smoothness. It does not consider travelers' environmental preferences and individual needs to a great extent. After several weeks of market research through the questionnaire and 4P model study, we concluded that the vast majority of passengers are dissatisfied with the current travel environment full of interruptions and are really willing to use a system that will improve their travel comfort. Therefore, the system will be added to a few major OTA platforms as a plug-in in order to reach a large number of potential customers. After that, we designed many features for our system based on the needs and interests of our target customers, as shown in the survey results, to confirm the desirability and feasibility of our product.
How to Develop Digitalization Intelligence Solutions for Manufacturing Enterprises: A Case Study
Authors: Zhao Songyan
Published: August 2024

This paper analyzes why and how traditional manufacturing enterprises follow different dominant logics to develop digitalization solutions for their users, to achieve value creation and capture. The study finds that: (1) based on a systematic analysis of user needs and user-sought value, manufacturing enterprises will systematically evaluate the value creation opportunities, barriers, and supports, and then make the decision to develop digitalization solutions; (2) manufacturing enterprises need to break the value creation barriers in the digitalization solutions around user needs and user-sought value, to achieve value creation; (3) manufacturing enterprises could adjust and change their value creation modes by transforming from network-based platform digitalization to scenario-based ecological digitalization, and continuously developing and providing digitalization solutions for their users. This study deepens the research on the digital transformation of manufacturing enterprises, providing insights to avoid the digital trap and overcome the digital paradox, ultimately enhancing value creation and capture capabilities.
Consumer Study - Consumers Perspective Towards Drone Food Delivery Service
Authors: Wu Zige , Ou Yuwen , Tangzharyk Dinara , Sun Shengyuan , Tan Mingxin
Published: August 2024

Drone food delivery has a large possibility of being welcomed by businesses as it provides benefits that traditional delivery methods dont have. Such as reduced reliance on manpower and sunk cost, and improved customer satisfaction. Our study aims to measure the adoption and attitudes of consumers toward drone food delivery technology in order to help us assess the feasibility and effectiveness of the service. The study found that privacy has a huge negative impact on consumer attitudes towards drone delivery. However, the Green image had a significant positive effect. People in rural areas pay more attention to the performance of drones than those in cites. At the same time, the research result can be used to analyse the future of the drone food delivery industry and commercial plans prepared for companies.
The Marketing Strategy of Cha Yan Yue Se
Authors: Liu Yidan
Published: August 2024

In contemporary society, marketing plays a vital role in promoting products. As a new style tea drink brand, Cha Yan Yue Se attracts more and more consumers' attention. The purpose of this study is to analyze Cha Yan Yue Se's marketing strategy in the current environment. The results of the study show that Cha Yan Yue Se's marketing strategy is effective in increasing product awareness. Through unique product design and promotional activities, Cha Yan Yue Se succeeded in establishing an emotional connection with consumers and stimulating their desire to buy. However, Cha Yan Yue Se's marketing strategy also faces challenges such as fierce competition and a gradually saturated market environment. In response to these problems, this paper offers some valuable suggestions. First, the brand needs to improve the quality and attractiveness of its products. Secondly, it is necessary to grasp the advantages of the brand's price strategy. Finally, in terms of publicity and promotion, brands can adopt various forms of activities to attract more attention and participation from potential consumers. In addition, the brand should also strengthen its interaction and communication with consumers and continuously improve and optimize its marketing strategy.
Do Implementing Green Spaces Mitigate the Risks of Respiratory Diseases in the U.A.E?
Authors: Liang Mingle , Bai Yaxuan , Chen Joanne Sabrina , Wang Rundong
Published: August 2024

As a rising number of people living in the city, the impact of urban green spaces on citizens health has been discussed more and more frequently. This research employs simple regression models and differences and differences analysis (DID) and investigates the benefits of urban green spaces in mitigating the health risks associated with respiratory diseases in the United Arab Emirates (UAE). This research will collect data from different authorities, including the World Bank and UAE Health Administration, to explore the relationship between green spaces and respiratory health incident rates. We consider the gradual introduction of green spaces and introduce the staggered treatment in the DID analysis. The findings of this research will contribute to the discussions on sustainable urban development and public health strategies, helping city authorities to create a healthier and more sustainable environment for citizens.
How the Advent of Live Streaming is Affecting Businesses' Commitment to Marketing
Authors: Shi Yimeng
Published: August 2024

In 2019, the global pandemic of the new coronavirus is driving more and more companies to digitize their marketing strategies to mitigate the negative impact of the outbreak on their day-to-day business. As a result, live marketing is becoming one of the hottest marketing methods, a particularly evident phenomenon in China. However, how companies of different sizes apply live marketing has yet to be explored. This study focuses on the emergence of live streaming on firms' marketing investments and assesses how these impacts differ for firms of different sizes. The conclusions drawn from this work are that the epidemic is driving companies to invest more and more in live streaming and that smaller companies are more likely to benefit from this marketing tool than larger ones. This paper uses a case study method to analyze the development of live streaming and its impact on changes in sales and marketing investment by firms of different sizes and to point out its contribution to driving economic development in firms, laying the groundwork for further research into ways of promoting economic development in the digital sphere.
The Resilience and Transformation of Fortune 1000 Companies
Authors: Hou Yueting
Published: August 2024

This research paper delves into the performance and evolving trends of Fortune 1000 companies over the critical period from 2019 to 2021, a time significantly influenced by the COVID-19 pandemic. It provides a detailed examination of key metrics such as revenue, profitability, industry distribution, market capitalization, global presence, and employment trends, as well as strategic responses in mergers and acquisitions, digital transformation, and innovation. The study emphasizes the impact of corporate social responsibility and the changing regulatory landscape on these corporations. Special attention is given to the role of technology and innovation in driving economic impact and global influence, as well as the adaptation strategies employed by these companies in response to unprecedented challenges. The findings underscore the significant shifts in corporate strategies, highlighting resilience and adaptability in the face of global economic disruptions. This comprehensive analysis provides valuable insights into the factors shaping the economic and strategic landscape of major corporations during a transformative era.
Real Estate Economy in the Post-epidemic Era
Authors: Meng Rundong
Published: August 2024

The COVID-19 outbreak has had a significant impact on China's real estate market, with the sector's recovery lagging behind the overall economy. This study evaluates the pandemic's influence on consumer behavior, housing demand, and preferences, highlighting substantial declines in real estate development investment and commercial housing sales. Key factors contributing to reduced demand include a shift towards remote working models, heightened health and safety concerns, and evolving perceptions of urban living. To stimulate the market, government incentives such as tax breaks and housing subsidies are recommended. Additionally, developers are encouraged to embrace smart city technologies for optimizing energy consumption and providing convenient community services. Emphasizing health-conscious design is crucial for improving air quality and increasing green space while investors should diversify their portfolios to mitigate market volatility risks and enhance resilience. The objective of this study is to devise an appropriate real estate economic recovery plan that aligns with the changing urban to sustain economic growth.
Research on the Impact of Digitalization on Bank Performance Based on BP Neural Network
Authors: Zheng Minqiao
Published: August 2024

With the promotion and development of digital finance, the degree of digitalization has an increasingly significant impact on the banking business, which cannot be ignored in the operation of commercial banks. Therefore, establishing a digitalization bank profitability system model is of great significance for the sustainable development of banks and digital finance. This article selects 6 Chinese state-owned banks from 57 listed banks in the A+H stock market as samples, constructs a digital indicator system and evaluation model for banks through the literature review method, and uses simulation training to explore the effectiveness of BP neural network in evaluating the impact of digitalization on bank profitability. The aim is to provide a reference for the evaluation of financial statement information of other banks and other factors affecting bank digitalization. The innovation of the article lies in the innovative use of the entropy weight coefficient of variation method to establish a digital evaluation system model, which utilizes the data itself to objectively establish an evaluation system, incorporate the established digital system into the black box model of the BP neural network model to study the impact of changes in digitalization on banking operations.
The Correlation Between the Willingness to Marry and the Household Savings Rate in China
Authors: Li Jiachen
Published: August 2024

In recent years, the decrease in household savings rate and willingness to marry is an important problem facing society in China. The traditional competitive savings theory holds that the imbalance of the male and female sex ratio is an important factor affecting the household savings rate. However, in the context of the saving rate declining year by year after 2010, it is found that the traditional competitive savings theory can not fully explain the reasons for its decline. At the same time, according to the data statistics, it is found that the trend of marriage intention in China during 2000-2021 is similar to that of the savings rate, which increases first and then decreases. Therefore, this paper established a multiple linear regression model and ridge regression model for regression analysis, and observed the size of the regression coefficient and the positive and negative effects of willingness to marry on household savings rate in China. The regression results show that for every 1% change in willingness to marry, the savings rate will change 13.526% in the same direction on average. This indicates that the decline in willingness to marry plays a positive role in explaining the decline of household savings rate.
Digital Transformation Strategies and Practices for Corporates
Authors: Lin Jueyu
Published: August 2024

Under the wave of global digital transformation, enterprises are facing great challenges and opportunities. Digital transformation is not only a technological innovation, but also an all-round upgrade of business model and organizational structure. This thesis studies the core value of enterprise digital transformation and redefines the connotation of digital transformation. It analyzes the reasons for enterprise digital transformation and points out the core strategy and path of enterprise digital transformation. Taking the automobile manufacturing industry as an example to analyze the practice and thinking of the digital transformation process, it is concluded that digital transformation also helps multi-factory collaboration, supply chain information opening, global transparent management, cost reduction, improving the order delivery satisfaction rate, and supporting the complex production requirements and diversified production modes. However, digital transformation also faces challenges such as data security, technology risks, and organizational changes. Enterprises need to strengthen security measures and build a digital ecosystem to adapt to the development needs of the digital economy and achieve sustainable development.
Research on Economic Resilience Assessment and Improvement Strategies for Small and Medium-sized Cities and Specific Regions
Authors: Yan Chenglong
Published: August 2024

In recent years, economic resilience has attracted much attention as an important concept in responding to external shocks. However, there are relatively few studies on the economic resilience of cities of different sizes, especially small and medium-sized cities and specific regions. This study analyzes the economic resilience of small and medium-sized cities and specific regions, explores the concept, influencing factors, and evaluation methods, and analyzed previous studies. Through the analysis of previous studies, this article discusses in detail the research results on the economic resilience of mega-cities, sub-provincial cities, and Northeast China, including data selection, method use, research results, and conclusions of related studies. This study provides a comprehensive evaluation and analysis of the economic resilience of small and medium-sized cities and specific regions and formulates corresponding improvement strategies. The research results on the economic resilience of megacities, sub-provincial cities, and the Northeast region provide important reference and guidance for policymakers in this field, and provide a basis for improving economic resilience and formulating urban development strategies.
The analysis of the impact of different supply chain factors using statistical perspective
Authors: Xiong Tianqin
Published: August 2024

Supply Chain Management (SCM) is an essential part of modern business and involves the coordination of procurement, production, and logistics. Effective SCM allows organizations to remain competitive and reduce costs. With the growth of the global marketplace, SCM is becoming increasingly important for businesses to compete. The most important aspect of SCM is to understand the components of the supply chain, which form a network of organizations involved in value-added processes and activities. The supply chain network consists of multiple components, indicating that the success of an organization's SCM depends on the combination of multiple influencing factors. This paper utilizes the supply chain data of several well-known companies, uses a dozen variables such as inventory turnover ratio, lead time, and supplier count as independent variables, and analyzes the effects of these different supply chain influencing factors on operational efficiency, supply chain resilience, and supplier relationship through multiple linear regression models. This study finds that many different supply chain factors, like transportation cost efficiency, delivery time, and others, have the greatest impact on the above-mentioned factors. This analysis may help companies to comprehensively assess their supply chain maturity and strategically enhance their supply chain attributes to achieve their business development goals.
Corporate bankruptcy prediction based on the Adaboost algorithm for optimisation of long and short-term memory networks
Authors: Li Siyu
Published: August 2024

In this study, a Long Short-Term Memory (LSTM) network was used to model and predict time series data, providing an innovative approach to corporate bankruptcy prediction. Subsequently, the predictions and real labels of the LSTM models were used to train the Adaboost algorithm to improve the accuracy and robustness of the models. Eventually, multiple trained LSTM models are combined into a more robust integrated model by adjusting the weights. It is worth mentioning that the integrated model achieves 95.57% prediction accuracy on the training set and 94.39% prediction accuracy on the test set, which indicates that the model has good prediction effect and generalisation ability. The method proposed in this study is of great significance, firstly, by combining LSTM and Adaboost algorithm, we not only improve the accurate prediction ability of corporate bankruptcy, but also enhance the ability of identifying anomalies. Second, by combining multiple LSTM models and adjusting the weights to form a more powerful integrated model, we effectively improve the overall prediction performance. This approach can provide financial institutions, investors, and government regulators with a more reliable and accurate tool for assessing corporate bankruptcy risk, which can help identify potential risks and take appropriate measures in a timely manner.
Metformin versus Metformin Plus Statin Effect on Lipid Profile in Type 2 Diabetic Patients
Authors: Hamza Alasbily  , Sufian Alalagy
Published: August 2024

Metformin is commonly used drug for type 2 diabetes and may also impact lipid profiles. Statins are often combined with metformin to manage dyslipidemia, but their comparative efficacy on lipid profiles is not well established. This study aimed to compares the effects of metformin alone versus metformin with statins on lipid profiles and to investigate the impact of different metformin doses on these profiles. A cross-sectional study was conducted at Aljabal Alakdar Diabetic Clinic in East Libya from July to December 2023, involving 200 adults with type 2 diabetes. Participants were divided into Group A (metformin only) and Group B (metformin plus statin). Inclusion criteria were adults aged 18-75 years, on metformin for at least 3 months, with recent lipid profile data, and who provided informed consent. Exclusion criteria were additional lipid-lowering drugs or any medications known to affect lipid profiles, type 1 diabetes, severe comorbidities, and pregnancy. Data were analyzed using SPSS version 27 with MANOVA, and significance was set at p < 0.005. The mean age was 58.62 years, mean diabetes duration was 11.43 years, with 47.5% males and 52.5% females. Mean HbA1c was 7.98%, mean urea was 36.5 mg/dL, and mean creatinine was 0.95 mg/dL. Lipid profile parameters included mean LDL cholesterol at 89.09 mg/dL, HDL cholesterol at 47.71 mg/dL, total cholesterol at 175.6 mg/dL, and triglycerides at 169.4 mg/dL. The key lipid parameters showed a significant difference (p < 0.000) between groups, with the metformin-only group exhibiting lower LDL, HDL, triglycerides, and total cholesterol compared to the metformin plus statin group. Our study found that metformin alone achieved better lipid control than metformin combined with statins, with a 1g dose showing notable antihyperlipidemic effects.
Building sustainable community voices: Lifelong learning in Rochdale
Authors: Goldstraw Katy , Diamond John , Chicot Helen , Broome David
Published: August 2024

This paper seeks to explore the potential for supporting the presence of 'community voices' in a local government-led initiative for lifelong learning (LLL). The initiative in Rochdale (UK) was a partnership between the local authority and a university. The paper seeks to situate the
initiative and the lessons learnt in the context of the potential value to all participants in a collaborative approach to lifelong learning. The paper argues that whilst it is not necessary for all participants to have a shared definition of LLL, there are clear and tangible benefits for
the partners which suggest that it is the focus on mutual gain that is critical in any shared initiative. The Rochdale-based initiative can offer some key lessons and it reinforces the lesson that long-term place-based work is not straightforward and has to navigate competing interests; securing
respect for community voices requires accountability and a genuine commitment from all participants (academics, active citizens and professionals) that change can be achieved.
EFFECT OF RISK PERCEPTIONS, FEAR AND MYTHS ABOUT COVID-19 INFECTION SUSCEPTIBILITY ON PROTECTIVE BEHAVIORS IN PAKISTAN
Authors: Idreesv Maria , Asif Muhammad , Ghazal Saima
Published: August 2024

Adoption of protective behaviours is a significant intervention to deal with the current COVID-19 outbreak, even if we get a cure. This study aimed to investigate the effect of risk perceptions, fear and myths about COVID-19 infection susceptibility on protective behaviors in the Pakistani population. An online survey was conducted in Pakistan with a sample size of N=440. A questionnaire was administered in the Urdu language about people’s perceptions of risk, fear, myths, and protective behaviors about COVID-19 infection. Results revealed that perceptions of risk about COVID-19 infection susceptibility had a significant positive effect on protective behaviours. Fear about COVID-19 was significantly correlated with protective behaviors but was not a significant predictor of protective behaviors. Myths about COVID-19 infection were not a significant correlate of protective behaviors. The present sample was found optimistically biased about the susceptibility for COVID-19 infection. Surprisingly, this study provided significant evidence about the adaptive nature of optimistic bias because optimistic estimates about COVID-19 infection susceptibility were significantly predicting protective behaviors. Further studies are suggested to investigate the adoptive nature of optimistic bias related to COVID-19 infection susceptibility.
Investigating the role of gliosis in cognitive impairment in early Alzheimer’s Disease
Authors:   , Kater Mandy Samantha June
Published: August 2024

The brain, functionally dominated by neurons, relies on the support of non-neuronal cells for optimal function. Astrocytes play an important role in this system, such as by engaging with synapses to regulate neurotransmission, synaptic plasticity and ion homeostasis. In addition, microglia function as the immune cells of the brain, constantly monitoring the environment for damage or pathogens. While existing studies have shown the involvement of microglia and astrocyte reactivity in the progression of Alzheimer’s Disease (AD), the exact aetiology of events remains unanswered. This leaves the potential beneficial effect of the prevention of microglial or astrocytic reactivity to cognitive impairment as not fully addressed yet.

In this thesis, I focused specifically on the early stages of AD in a mouse model and manipulated microglial and astrocytic reactivity to investigate the causal relationship with cognitive impairment in AD. In addition, I explored the spatial interaction between astrocytes and synapses, to understand its role in relation to memory impairment in AD and megalencephalic leukoencephalopathy with subcortical cysts (MLC).

By using mouse models, I provided fundamental insights into the early phase of AD pathology. I showed a relation between both microglial reactivity and astrocytic reactivity with cognitive impairment. I found indications for a protective role against oxidative stress by astrocytes in early AD. In addition, I observed a deficit in astrocyte-synapse interactions in models of impaired memory, confirming the importance of a dynamic astrocyte-synapse interplay in memory formation. Altogether, these results strengthen the importance to include therapeutic strategies intervening at microglial and astrocytic reactivity in an early disease phase to positively affect Alzheimer disease outcome in the future.
Immigrant Health Disparities in the United States: Challenges, Structural Violence, and the Role of Social Work
Authors: Araujo Brinkerhoff Cristina
Published: August 2024

Introduction: this paper explores the complex interplay between immigration, health disparities, and political dynamics in the United States, with a focus on the detrimental effects of structural violence on immigrant communities. Drawing on existing research, it examines how hostile political narratives and exclusionary policies exacerbate health inequalities among immigrants, particularly those of color and with undocumented status. The paper highlights the adverse health outcomes associated with prolonged exposure to discriminatory environments, including mental health issues, limited access to healthcare, and heightened vulnerability to exploitation in the workplace. Moreover, it underscores the critical role of social work in addressing immigrant health disparities, advocating for systemic reforms, and promoting health equity through proactive outreach, inclusive research, and advocacy efforts. Ultimately, the paper calls for urgent action to dismantle structural barriers and advance health and social justice for immigrant populations in the United States.Points of Interest:• This article examines the detrimental effects of hostile narratives and structural violence on immigrant communities, including barriers to healthcare access, workplace exploitation, and mental health disparities.• This article explores of the critical role of social work in advocating for systemic reforms and promoting health equity for immigrant populations through proactive outreach, participatory research, and advocacy efforts.• Finally, this article urgently appeals for concerted efforts to dismantle structural barriers, challenge discriminatory policies, and advance health and social justice for immigrant communities in the United States.
NEUROPROTEÇÃO: MEDIDAS PARA PREVENÇÃO DE LESÕES CEREBRAIS EM RECÉM-NASCIDOS
Authors: Silva Pollianna Marys de Souza e , Cerqueira Evany Caroline de Souza , Branco Karolayne Gomes de Almeida , Ribeiro Larissa Cardoso , Possobon Mariana da Silva
Published: August 2024

Objetivo: Investigar e compreender quais medidas neuroprotetoras seguras e efetivas são utilizadas em unidade neonatal intensiva. Método: Consistem em uma revisão integrativa, tendo como pergunta norteadora “Quais os cuidados para prevenção de lesões cerebrais a neonatos em cuidados intensivos?”. Utilizou-se como bases de dados a SciELO, LILACS, Pubmed, Scopus e BVS. Resultados: O estudo foi constituído por 8 artigos e a partir destes pode-se observar que a atuação da equipe multidisciplinar e a adesão às evidências de diretrizes para os cuidados neuroprotetores na unidade neonatal melhoram a sobrevida e os resultados funcionais dos recém-nascidos. Dentre esses incluem-se: maximizar o toque e interação parental, posicionamentos apropriados para aumentar o conforto e prevenir deformidades posicionais, diminuição da exposição excessiva à luz e ao ruído. Conclusões: Evidenciou-se a importância da equipe multidisciplinar para mitigar de forma significativa os riscos de lesão cerebral do recém-nascido hospitalizado em unidade de cuidados intensivos.
How to Recognize Risky Pharmaceutical Product?
Authors: Franc Aleš
Published: August 2024

The growing interest in the good state of health and the effort to maintain it leads to the abuse of this trend by manufacturers of various medical preparations. Consumers should be wary of products, the producers of which do not register them as drugs, emphasize their natural origin regardless of risks, declare the absence of side effects, promise to cure a wide range of diseases, do not present mechanisms of action, rely on case reports of celebrities instead of clinical studies, and on traditional systems of medicine without scientific verification. Products recommended by individuals without relevant expertise are often being sold outside the pharmacies and retail chains. Their application without critical assessment can lead to neglecting the treatment, health complications, or financial losses.
أثر القيادة الخادمة في العدالة التنظيمية في شركة ناتكو الأدوية بأمانة العاصمة
Authors: Tawaf Abdul Khaleq Hadi , Al-Mesbahi A. Elham Abdo
Published: August 2024

الهدف: هدف البحث الى التعرف على أثر القيادة الخادمة في العدالة التنظيمية في شركة ناتكو الادوية بأمانة العاصمة، والتعرف على مستوى ممارسة القيادة الخادمة فيها بأبعادها (الايثار، التمكين، المسؤولية الاجتماعية، التواضع)، وكذا التعرف على مستوى تطبيق العدالة التنظيمية بأبعادها (العدالة التوزيعية، العدالة الإجرائية، العدالة التعاملية)، ومعرفة أهم أبعاد القيادة الخادمة الأكثر قدرة على تحقيق العدالة التنظيمية في الشركة. منهجية البحث: اعتمد البحث على المنهج الوصفي التحليلي، وتم استخدام طريقة المسح الشامل لمجتمع البحث والبالغ عددهم (217) مفردة، وكانت عدد الاستبانات الصالحة منها للتحليل الاحصائي (214) استبانة، وتم استخدام برنامج الحزم الإحصائية للعلوم الاجتماعية (SPSS) لتحليل البيانات. نتائج البحث: وتوصل البحث الى عدد من النتائج أهمها: -وجود أثر ذو دلالة إحصائية للقيادة الخادمة في العدالة التنظيمية في شركة ناتكو الادوية. -اختلاف تأثير أبعاد القيادة الخادمة على العدالة التنظيمية في شركة ناتكو الادوية حيث كان بُعد التمكين الأعلى تأثيراً على العدالة التنظيمية، يليه بعد المسؤولية الاجتماعية، يليهما بعد التواضع، فيما جاء بُعد الإيثار الأقل تأثيراً في تحقيق العدالة التنظيمية. -كما أظهرت الشركة حرصاً متوسطاً على تحقيق العدالة التنظيمية، لكن حرصها بتحقيق العدالة التعاملية كان الأعلى، فيما كان حرصها بعدي (العدالة التوزيعية، والعدالة الإجرائية) متوسطاً. توصيات البحث: قدم البحث العديد من التوصيات أهمها: -زيادة الاهتمام بممارسة القيادة الخادمة باعتبارها متغير مهم يؤثر في العدالة التنظيمية بوصفها واحدة من أهم الآليات التي تؤثر في زيادة درجة ولاء العاملين وتطوير قدراتهم على الابداع والابتكار. -ضرورة أن تعي ادارة الشركة أهمية امتلاكها لمستوى جيد من سمات القيادة الخادمة والذي سوف ينعكس ايجابيا على العلاقة بين إدارة الشركة والمرؤوسين، وتعزيز شعورهم بالعدالة التنظيمية. -الاهتمام بمنهج العدالة التنظيمية بوصفها واحدة من أهم الآليات التي تؤثر في زيادة درجة ولاء العاملين وتطوير قدراتهم على الإبداع والابتكار.
ASSESSMENT OF PHYSICO-CHEMICAL PARAMETERS OF PERUMAL ERI
Authors:   Research Scholar, Civil Engineering Department, Gnanamani College of Technology, Namakkal,Tamilnadu,India, S VINITHRAJ , N SENTHIL ,   Assitant Professor, Civil Engineering Department ,Gnanamani College of Technology, Namakkal,Tamilnadu,India
Published: August 2024

Tamilnadu is deficit in Water Resources. It is a major fresh water lake in the cuddalore district of tamilnadu. It is located almost 7 kilometers (4.3 mi) from Alapakkam,The rainfall is seasonal and often erratic in timing and geographical distribution, resulting in frequent droughts and occasional floods. To mitigate the adverse effects, serious attention is required to rehabilitate the existing irrigation structures, canal systems, anicuts and tanks to make them functionally more effective, conserve and utilize the water for optimum use.This paper deals with an assessment of water quality parameters of Perumal eri(lake) situated at Alapakkam in Cuddalore district.Samples have collected at five different locations in Perumal eri during pre-monsoon period.Then laboratory analysis has done and the results are compared with BIS and WHO drinking water standards.Then by using “Inverse Distance Weighting”(IDW) method geostatistical analysis has done.Based on the results obtained mapping contaminants in lake has done by using ArcGIS software.According to the results suitable solution will be given to treat the water in the lake.
THE IMPORTANCE OF ‘IMMUNITY’ AND ‘PROSTHODONTIC TREATMENTS’- A NARRATIVE REVIEW
Authors: Journal IJSREM
Published: August 2024

The immune system has evolved to protect the host from an ever-growing world of pathogenic microbes. The immune system also helps the host eliminate toxic or allergenic substances that enter the body. The host uses internal and adaptive mechanisms to recognize and eliminate pathogens. Pathogens have a variety of mechanisms by which they multiply, spread, and threaten the normal functioning of the host. At the same time, the immune system destroys pathological microbes and toxic or allergenic proteins. [1] The immune system is a complex network of cells, tissues and organs that work together to protect the body from harmful pathogens such as bacteria, viruses, fungi and parasites. So far, the dental fraternity not given much importance to the immune related dental diseases and their treatment. As such very less prosthodontic literature is available on this important topic, hence this narrative review aimed to focus on the importance of immune and its effect on different prosthodontic treatment modalities. Immunity refers to the body's ability to resist and fight off infection or disease. It involves a complex network of cells, tissues, and organs that work together to defend the body against harmful pathogens such as bacteria, viruses, fungi, and parasites. Different immunity systems are given below. (Fig-1) [2]
THE DYNAMICS OF EXCHANGE RATES, INFLATION, AND TRADE BALANCE IN A SMALL OPEN ECONOMY (CASE STUDY OF SIERRA LEONE)
Authors: Kamara Ishmael , Widyawati Diah
Published: August 2024

Sierra Leone experiences a persistent trade deficit problem. Currently, there is a vacuum in the literature employing recent data and suitable approaches to address the issue of non-stationarity and dynamic interaction between macroeconomic variables in influencing the trade deficit in Sierra Leone. This study examines the relationship between Sierra Leone's trade balance, inflation, and exchange rate using quarterly data from 2005 Q1 to 2023 Q3. The focus is on understanding how the exchange rate and inflation impact Sierra Leone's trade balance in both the short and long term. To achieve this, the study utilizes the VAR/VECM model to depict the dynamic interaction between the trade balance, exchange rate, and inflation. It also employs Granger Causality analysis to determine the most appropriate ordering among the macroeconomic variables in the model and Impulse Response Function (IRF) analysis to test the hypotheses regarding the trade balance response to exchange rate shocks and inflation. The empirical results confirm the existence of cointegration, indicating a long-term balance between the trade balance, exchange rate, inflation, and other macroeconomic variables such as GDP growth and interest rate differentials. Moreover, the dynamic prediction analysis using the IRF method supports the J-curve hypothesis in Sierra Leone and suggests that inflation can reduce the performance of the trade balance. These findings highlight the need for Sierra Leone to implement a comprehensive strategy to adjust the exchange rate and curb inflation to improve the trade balance and enhance external economic stability.