bluuebunny/crossref_metadata_2025 huggingface dataset:
Big Data Collection, Filtering, and Extraction of Features
Authors: Regulwar Ganesh B. , Mahalle Ashish , Pawar Raju , Shamkuwar Swati K. , Kakde Priti Roshan , Tiwari Swati
Published: January 2024

Big data is a term used to describe data sets that are too large or intricate for traditional data processing systems to handle. Big data collection, filtering, and feature extraction are significant procedures in data science that enable organizations to scrutinize vast amounts of data to obtain insights and make well-informed decisions. Following filtration, feature extraction is executed to identify vital patterns and relationships in the data using techniques such as clustering, principal component analysis, and association rule mining. The primary objective of big data collection, filtering, and feature extraction is to identify valuable information that can aid in decision-making, enhance operations, and develop new products and services. These processes are essential for organizations that aspire to remain competitive and at the forefront of the constantly changing data landscape.
Machine Learning and Deep Learning for Big Data Analysis
Authors: Pradhan Tarun , Nimkar Prathamesh , Jhajharia Kavita
Published: January 2024

As data plays a role in machine learning and provides insights across various sectors, organizations are placing more emphasis on collecting, organizing, and managing information. However, traditional methods of analysing data struggle to keep up with the increasing complexity and volume of big data. To extract insights from datasets, advanced techniques like machine learning and deep learning have emerged. In the field of self-driving cars, analysing sensor data relies on methodologies developed from data analytics. These trends extend beyond cases; big data and deep learning are driving forces supported by enhanced processing capabilities and the expansion of networks. Managing the complexities involved in processing amounts of data requires scalable architectures that leverage distributed systems, parallel processing techniques and technologies such as GPUs. This development is particularly relevant for industries like banking, healthcare, and public safety, which have pressing demands, for transparency and interpretability in models.
Suggesting New Techniques and Methods for Big Data Analysis
Authors: Gangrade Puneet
Published: January 2024

New privacy rules and responsible data use are pushing companies to find clever ways to learn from data without exposing personal details. This chapter explains different techniques that protect privacy while still gaining insights. They provide strong privacy guarantees so organizations can use and share data safely. Real-world examples show how companies in marketing, healthcare, banking, and other industries apply these techniques to drive business value through secure collaboration and accelerated innovation. Recommendations help teams choose and test the right privacy tools for their needs. With the proper privacy toolbox, market intelligence can thrive in an era of ethical data analysis. Organizations that embrace privacy-first practices will gain a competitive advantage and consumer trust. This chapter equips teams to adopt modern privacy-preserving approaches to tap hidden insights in data while respecting user confidentiality.
Machine Learning and Sentiment Analysis for Analyzing Customer Feedback
Authors: Saroha Kriti , Sehrawat Mukesh , Jain Vishal
Published: January 2024

The rapid transformation in the business domain enhances the understanding that to achieve competitive advantage, corporates need to understand customer sentiments. The abundance of customer data as customer feedback, product reviews, and posts on social media platforms provides an in-depth insight that can navigate strategic decisions and inflate customer experiences. In this context, the unification of machine learning and sentiment analysis emerges as a potent combination for extracting emotional traces from volumes of unstructured text data. This chapter searches into the sphere of analysis techniques of sentiment analysis for analyzing customer feedback, where the convergence of advanced machine learning techniques with sentiment analysis methods empowers businesses to derive valuable insights from the feedback gathered from various touch points. By decoding sentiments and opinions hidden within textual data, this approach enables organizations to capture a clear view on customer satisfaction, identify their pain points, uncover emerging trends, and tailor offerings accordingly.
Role of Virtual Leadership and Digital Fatigue on Employee Engagement
Authors: Dixit Abhilasha , Soni Deepali , Raghuwanshi Sandeep
Published: January 2024

The COVID-19 pandemic has accelerated the adoption of remote work, leading to an increased reliance on technology for communication and collaboration. This chapter aims to signify the relationship between virtual leadership, digital fatigue, and employee engagement in remote work settings. The chapter describes how leaders can effectively navigate the challenges posed by virtual work environments and mitigate the negative impact of digital fatigue on employee engagement. The insights from this chapter can provide valuable inputs for organizations and leaders to enhance employee engagement and well-being in the context of remote work.
The Shift Towards Operations Management 4.0
Authors: Adel Riham
Published: January 2024

It is acknowledged that the rapid advancement in technological developments has driven digital transformation in organizations. Thus, the conventional value chain management and control approaches are shifting towards smart, data-driven management and control systems through the digitalization of product/service life cycle. This study contributes to the body of knowledge with a comprehensive literature review of Industry 4.0 technologies, and its implications on operations management research. Moreover, due to the multidisciplinary nature of Industry 4.0, it was imperative to reveal, discern, and discover the interconnected research themes with operations management to identify future research trends. The synthesis of existing literature illustrates that digitalization, end-to-end value chains, real-time monitoring and control systems, smart management systems and intelligent decision-making, collaborative and sustainable ecosystems, dynamic capabilities, and intelligent organizations are all future research trends of Operations Management 4.0.
The Influence of the Adoption of Electronic Customer Relationship Management on Quality of Relation
Authors: Tebourbi Sameh , Khemakhem Romdhane
Published: January 2024

This chapter aims to determine the quality of relations after the adoption of electronic customer relationship management in the service sector by applying the multidimensional concept of the quality of relations based on satisfaction, trust, and commitment. This study used survey data from 220 customers of a service company. The theoretical model was tested and confirmed via structural equation modeling (SEM). Results indicated that after the implementation of the e-CRM system, the quality of relations between the company and customers was improved. Satisfaction and trust have a direct significant impact on commitment. Customer commitment has a positive effect on loyalty to service companies. Theoretical and managerial implications as well as the limits and future directions of the study are discussed.
Advances in Nanomaterials for Drug Delivery
Authors: Yingngam Bancha
Published: January 2024

This chapter provides a comprehensive review of recent advances in nanomaterials for drug delivery, focusing on the design and preparation of nanocarriers. It also dissects the intricate mechanisms underpinning drug loading and release, and delves into the strategic planning inherent in achieving target delivery. It further outlines the potential applications of these nanomaterials in treating various diseases, including cancer, infectious diseases, and neurological disorders. A distinct case study is incorporated into the chapter, elucidating the promising utility of electrospun nanofibers in drug delivery paradigms. In its concluding remarks, the chapter engages in a thoughtful discourse about the persistent challenges within this rapidly evolving field. It also forecasts the potential trajectories for future exploration and innovation in the captivating domain of nanomaterials for drug delivery.
Nanomaterials in Cancer Therapy
Authors: Kanathasan Jayasree S. , Nallappan Devi , Poddar Sandeep , Ware Andrew
Published: January 2024

Nanotechnology has been applied in healthcare to cure diseases, especially cancer. Cancer is one of the heterogenous diseases which lacks symptoms in the early stage thus has made it difficult to cure at a later stage. Despite early detection, effective treatment is regarded as one of the major solutions to cure cancer. Nanomaterials play a prominent role in enhancing or replacing conventional treatments with specific and less-toxic drug delivery or therapy. The requirement and properties of nanomaterials as well as their applications in cancer therapies are discussed in this chapter. Various types of nanoparticles are available on the bench side, but these nanoparticles may lack effectiveness to treat cancer using a single treatment mode. Hence, this chapter also explores the applications of various types of hybrid nanoparticles used in multiple therapies as they have shown more effective and safer outcomes for cancer patients. The combination of cancer therapies and their successes have been discussed in this chapter which is the cutting-edge applications of cancer treatment today.
Nanomaterials in Imaging and Diagnostics
Authors: Jagdale Swati Changdeo , Chandorkar Purva Uday , Podutwar Akash Anil , Polshettiwar Satish A. , Chabukswar Aniruddha R.
Published: January 2024

In the last two decades, application of nanomaterials as a tool for imaging and diagnosis has gained the attention of many researchers, as they have showed promising results in every aspect of disease management right from the diagnosis, delivering and real time tracking of the drug and monitoring the diseased condition to the in-vivo imaging. In-vivo imaging helps in early diagnosis of lethal diseases like, cancer, cardiovascular diseases, and renal failure, which can improve patient's lifestyle. Nanomaterials offer properties like enhanced diagnostic specificity, increased blood circulation time, and organ specific delivery just with the help of functionalization and conjugation with desired materials. Nanomaterials like dendrimer, silica nanoparticles, and some magnetic nanoparticles are used as contrast agents in imaging technology such as magnetic resonance imaging (MRI), computed tomography (CT) and radiopharmaceuticals. This chapter covers nanomaterials (NPs) as a biomedical tool for imaging and diagnosis of various diseases.
Nanotechnology and Its Application in Medical Sciences
Authors: Saxena Rahul , Saxena Suyash , Singh Ajit pal , Singh Vandana
Published: January 2024

Materials with 10-9m dimensions are considered nanomaterials, which exhibit beneficial aspects against health-related complications and thus have received much attention. Modern knowledge of the various functions of nanomaterials has advanced it to a new level of revolution. Several chemical, physical, and biological techniques can be used to create nanomaterials. A variety of methods are available for figuring out their physical characteristics and chemical makeup. Their unique physical and chemical properties, due to nanoscale size, enhance their utilization and applications in the field of medicine and biomedical sciences. However, glimpse of certain harmful paradigms offered by nanoparticles forces us to rethink the negative impacts against the human health. This chapter reviews an introductory overview covering the current concepts related to the properties and application of various sorts of nanomaterials used in the field of medical science, with special reference to their metabolic and physiological influence in many types of pathophysiological disorders.
The Importance of Nanomedicine and Its Prospects for the Public Health and Research Fields in the Present and Future
Authors: Kumar Abhishek , Dwivedi Deepti , Srivastava Ankur , Devi Juti Rani , Tripathi Shubham , Shukla Somesh , Singh Chandan Kumar
Published: January 2024

Recognizing and promoting contributions relevant to public health is crucial as the range of nanotechnology uses in medicine expands. Nanomedical advances promise to have far-reaching effects across the medical spectrum, revealing exciting new approaches to enhance health and lengthen life that can be quantified on both an individual and a societal scale. In the United States, for instance, cardiovascular disease and cancer account for over half of all deaths each year, yet there is promising evidence that improvements in nanomedicine can help cut these numbers. Nanomedicine's public health uses, like quicker and more portable diagnostics and more potent immunizations, could radically alter the state of global health. Diverse innovators from engineering, biology, medicine, and public health should collaborate to maximize the impact of their research on human health.
Sustainable Use of Nanotechnology in Biomedical Sciences
Authors: Nallappan Devi , Kanathasan Jayasree S. , Poddar Sandeep
Published: January 2024

Researchers have directed their attention to the application of nanotechnology in the biomedical sciences owing to their promising effects. In light of this, the present chapter is a concerted effort to highlight the emerging application of nanotechnology in the field of biomedical sciences. The first part of the chapter describes the introduction to biomedical science, followed by an introduction to the development of nanotechnology, the types and characteristics of nanosized materials, and their potential therapeutic properties. Next, the present chapter describes the application of nanotechnology in biomedical sciences. It also highlights the current issues regarding the usage of nanotechnology in biomedical science, especially safety, regulation, and toxicity. This chapter aims to provide new insights into the extraordinary application of nanotechnology in the biomedical science field for researchers, policymakers, regulators, healthcare professionals, and others involved in the nano biomedical application field.
AI Transformation for Learning in Organizations
Authors: Bidarra José , Neves Cláudia
Published: January 2024

In this chapter the authors examine how AI applications support specific learning and training strategies in organizations, empowering individuals to develop their skills, allowing organizations to make data-driven decisions, and ensuring that learning is an ongoing and engaging process. Research shows that AI is an excellent instrument for learning in organizations as it aids in the preparation of instructional materials and helps learners progress in many different ways. So, there seems to be a need for a specific approach to AI pedagogy, which focuses not only on what AI can do but also on which learning activities and learning objectives can be supported by AI applications. As AI technology continues to advance, it will play an even more significant role in shaping the future of learning and development in the organizations, but this should always follow a humanistic perspective and a critical approach.
Learning Technologies
Authors: Gudoniene Daina , Blazauskas Tomas , Butkiene Rita , Čeponienė Lina , Staneviciene Evelina
Published: January 2024

The aim of the chapter is to present the learning technologies helping students to get high-quality personalised assistance in the learning process. Digital transformation in education makes a huge impact on the quality of education; however, authors are focusing on the chatbots that can be used for providing personalised support and guidance to students in education. Moreover, chatbots can help to improve academic performance and reduce the number of drop out students. The authors will discuss the chatbot aspects based on the 6 main chatbot parameters that determine design and development presented by Kumar: (1) knowledge, (2) services, (3) goals, (4) input processing, (5) human aid, and (6) building open-source or closed platforms. These parameters convey that a chatbot can fulfil numerous communication and interaction functionalities based on needs, platforms, and technologies.
The Potential of Gamification in the Multigenerational Learning Organizations
Authors: Bernardino Iolanda
Published: January 2024

This study is concerned with learning organizations' multigenerational workforce and how gamification is essential for digital transformation and digital learning, once learning organizations understand how knowledge growth can affect the organization's long-term success and its culture and innovation. As an essential development and competitiveness, learning organizations are expanding to the digital learning in its culture, for employees develop their own interpersonal and soft skills, through collaborative work and better communication. The main aim of this study is to analyze through a literature review to understand how gamification is a potential problem solver for the multigenerational workforce in its digital learning and development. After a research background and literature review, the analysis shows that organizations with a multigenerational workforce have several benefits—while young employees share their digital skills, older employees share their experience and knowledge. Through gamification, employees increase their motivation, digital skills, and productivity.
AI Business Boost Approach for Small Business and Shopkeepers
Authors: Shaikh Mohammad Shahnawaz , Ali Syed Ibad , Deshmukh Atul Ravindra , Chandankhede Pankaj H. , Titarmare Abhijit S. , Nagrale Niraj K.
Published: January 2024

This chapter presents the significance of artificial intelligence (AI) in small and medium businesses, focusing on sales forecasting for digital marketing. It includes a literature survey on AI in sales forecasting and proposes an AI-based model using artificial neural networks (ANN) to analyze customer reviews and predict future sales. The methodology for constructing the ANN predictive model using SPSS is also discussed. Additionally, the text covers the importance of machine learning for item recommendation systems, business information system development, and opinion and sentiment analysis. It further explores the impact of AI and machine learning on small business lending and financial services, emphasizing the advantages of AI-based sales forecasting models and potential social welfare impacts. The references encompass research papers, conference proceedings, and books related to AI, machine learning, sales prediction, and business decision-making, covering topics such as demand forecasting, intelligent sales prediction, and DL-based product recommendation systems.
Enhancing Digital Twins With Wireless Sensor Networks
Authors: Akila T. , Bilgaiyan Purti , Subramaniam Sangeetha , Venkateswaran R.
Published: January 2024

This chapter explores the integration of digital twin technology (DTT) and artificial intelligence (AI) in advancing underwater wireless sensor networks (UWSN). The problem statement revolves around the challenges faced by UWSN in terms of data quality, real-time decision-making, and energy efficiency. Traditional UWSN systems lack the ability to adapt swiftly to changing underwater conditions and ensure reliable data transmission. This study addresses these challenges by proposing a novel approach that leverages DTT and AI for enhanced UWSN performance. Its methodology involves the design and implementation of a DTT-AI-based UWSN framework. DTT replicates the physical underwater environment, providing a virtual representation that continuously updates in real-time. AI algorithms process data from UWSN sensors within this digital twin, enabling intelligent decision-making and predictive analytics.
Integrating Digital Twin Technology and Artificial Intelligence for Tomorrow's Businesses
Authors: Dahiya Virender Kumar , Swathi P. , Baskar K. , Akbar Mohd
Published: January 2024

The integration of digital twin (DT) technology and artificial intelligence (AI) stands as a strategic element for businesses in today's era of technological transformation. This chapter explores the strategic imperative of integrating digital twin (DT) and artificial intelligence (AI) for material selection in the food packaging industry. DT, which creates a virtual replica of the physical packaging environment, can be coupled with AI to simulate and analyze material under different conditions. DT can assess the environmental impact of different materials throughout their lifecycle. AI algorithms can then guide the selection process towards materials that are not only functional but also sustainable and recyclable, aligning with the industry's commitment to eco-friendly practices. Industry-specific insights, including manufacturing, healthcare, and smart cities, are explored as future advancements in the context of material selection.
Obesity-related Plasma CXCL10 Drives CX3CR1-dependent Monocytic Secretion of Macrophage Migration Inhibitory Factor
Authors: Meyhöfer Svenja , Steffen Armin , Plötze-Martin Kirstin , Marquardt Jens-Uwe , Meyhöfer Sebastian M , Bruchhage Karl-Ludwig , Pries Ralph
Published: January 2024

Obesity is characterized by excessive body fat accumulation and comorbidities such as diabetes mellitus, cardiovascular disease, and obstructive sleep apnea syndrome (OSAS). Both obesity and OSAS are associated with immune disturbance, alterations of systemic inflammatory mediators, and immune cell recruitment to metabolic tissues. Chemokine CXCL10 is an important regulator of proinflammatory immune responses and is significantly increased in patients with severe obesity. This research project aims to investigate the impact of CXCL10 on human monocytes in patients with obesity. We studied the distribution of the CD14/CD16 monocyte subsets as well as their CX3CR1 expression patterns in whole-blood measurements from 92 patients with obesity and/or OSAS with regard to plasma CXCL10 values and individual clinical parameters. Furthermore, cytokine secretion by THP-1 monocytes in response to CXCL10 was analyzed. Data revealed significantly elevated plasma CXCL10 in patients with obesity with an additive effect of OSAS. CXCL10 was found to drive monocytic secretion of macrophage migration inhibitory factor via receptor protein CX3CR1, which significantly correlated with the individual body mass index. Our data show, for the first time, to our knowledge, that CX3CR1 is involved in alternative CXCL10 signaling in human monocytes in obesity-related inflammation. Obesity is a multifactorial disease, and further investigations regarding the complex interplay between obesity-related inflammatory mediators and systemic immune balances will help to better understand and improve the individual situation of our patients.
Perception and experience of relatives of pregnant teenagers: a qualitative study in the North and Northeast departments of Haiti
Authors: Philibert Léonel , Ngangue Patrice , Lapierre Judith , Mulatris Paulin , Prophète Alice , Kiki Gbètogo M. , Ntanda Gisèle M.
Published: January 2024

Background: Teenage pregnancy remains a global problem because of its consequences for the teenager, her child, her family, and society. In Haiti, this type of pregnancy burdens the family economy. In addition, the adolescent fertility rate is still high, despite efforts to reduce it. Objective: This article aims to analyze the perception and experiential experience of relatives of pregnant adolescents in Haiti. Methods: A qualitative study design based on Dewey’s social survey was conducted. Data were collected from 17 relatives (partners, parents, guardians, and others) of pregnant adolescents in Haiti’s North and Northeast departments. These data were analyzed using thematic analysis. Results: According to the results, teenage pregnancy is seen as a disaster or a social problem in Haiti. It leads to many psychosocial and economic difficulties for the relatives, who are the only source of economic and social support for pregnant adolescents. Conclusion: Considering the vulnerability of relatives, policies, and interventions aimed at reducing the negative consequences of teenage pregnancy should consider this group of individuals.
Association of Muscle Mass Loss with Diabetes Development in Liver Transplantation Recipients
Authors: Lee Sejeong , Lee Minyoung , Kim Young-Eun , Kim Hae Kyung , Lee Sook Jung , Kim Jiwon , Yang Yurim , Kim Chul Hoon , Lee Hyangkyu , Joo Dong Jin , Kim Myoung Soo , Kang Eun Seok
Published: January 2024

Background: Post-transplant diabetes mellitus (PTDM) is one of the most significant complications after transplantation. Patients with end-stage liver diseases requiring transplantation are prone to sarcopenia, but the association between sarcopenia and PTDM remains to be elucidated. We aimed to investigate the effect of postoperative muscle mass loss on PTDM development.Methods: A total of 500 patients who underwent liver transplantation at a tertiary care hospital between 2005 and 2020 were included. Skeletal muscle area at the level of the L3–L5 vertebrae was measured using computed tomography scans performed before and 1 year after the transplantation. The associations between the change in the muscle area after the transplantation and the incidence of PTDM was investigated using a Cox proportional hazard model.Results: During the follow-up period (median, 4.9 years), PTDM occurred in 165 patients (33%). The muscle mass loss was greater in patients who developed PTDM than in those without PTDM. Muscle depletion significantly increased risk of developing PTDM after adjustment for other confounding factors (hazard ratio, 1.50; 95% confidence interval, 1.23 to 1.84; P=0.001). Of the 357 subjects who had muscle mass loss, 124 (34.7%) developed PTDM, whereas of the 143 patients in the muscle mass maintenance group, 41 (28.7%) developed PTDM. The cumulative incidence of PTDM was significantly higher in patients with muscle loss than in patients without muscle loss (P=0.034).Conclusion: Muscle depletion after liver transplantation is associated with increased risk of PTDM development.
Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Authors: Lee Da Young , Jung Inha , Park So Young , Yu Ji Hee , Seo Ji A , Kim Kyeong Jin , Kim Nam Hoon , Yoo Hye Jin , Kim Sin Gon , Choi Kyung Mook , Baik Sei Hyun , Kim Nan Hee
Published: January 2024

Novel strategies are required to reduce the risk of developing diabetes and/or clinical outcomes and complications of diabetes. In this regard, the role of the circadian system may be a potential candidate for the prevention of diabetes. We reviewed evidence from animal, clinical, and epidemiological studies linking the circadian system to various aspects of the pathophysiology and clinical outcomes of diabetes. The circadian clock governs genetic, metabolic, hormonal, and behavioral signals in anticipation of cyclic 24-hour events through interactions between a “central clock” in the suprachiasmatic nucleus and “peripheral clocks” in the whole body. Currently, circadian rhythmicity in humans can be subjectively or objectively assessed by measuring melatonin and glucocorticoid levels, core body temperature, peripheral blood, oral mucosa, hair follicles, rest-activity cycles, sleep diaries, and circadian chronotypes. In this review, we summarized various circadian misalignments, such as altered light-dark, sleep-wake, rest-activity, fasting-feeding, shift work, evening chronotype, and social jetlag, as well as mutations in clock genes that could contribute to the development of diabetes and poor glycemic status in patients with diabetes. Targeting critical components of the circadian system could deliver potential candidates for the treatment and prevention of type 2 diabetes mellitus in the future.
A national training course for clinical trainers in family medicine
Authors: Brits Hanneke
Published: January 2024

Quality vocational training is important to ensure that family physicians can strengthen the district health system. Competent clinical trainers and supervisors, with the necessary educational knowledge and skills, are required for this job. In 2014, a formal Train the Clinical Trainer (TCT) course was introduced in South Africa as a collaborative effort between the Royal College of General Practitioners (RCGP) and the South African Academy of Family Physicians (SAAFPs). To make the training relevant, the course was aligned with the National Unit Standards for Family Medicine, as these defined the learning outcomes for registrars. The aim of the TCT course was to equip workplace-based clinical trainers with an essential set of educational skills, which could be further developed through mentoring and support. Accredited trainers present the face-to-face course yearly to two family physicians from each of the nine departments of family medicine in South Africa. The TCT course is built around the educational principles of learner-centredness and andragogy. During these 5 days of training the roles and responsibilities of trainers and learners, the learning environment, alignment with the curriculum, assessment for and of learning, and leadership are covered. Recently online assessment, the e-portfolio and the use of entrustable professional activities were added to the course content. In the future we would like to accredit more clinical trainers through a process of workplace-based self-evaluation and 360-degree feedback from peers and students. Lastly, we want to expand the training course in the African region.Contribution: The Train the Clinical Trainer (TCT) course, established in 2014 through RCGP and SAAFP collaboration in South Africa, ensures family physicians have essential educational skills. Aligned with national standards, the course embraces learner-centered principles. Ongoing enhancements include online assessments and future plans involve accrediting more trainers through self-evaluation and expanding across the African region.
The Causes, Dynamics, and Consequences of the War in Ukraine in the Perceptions of Armenian Youth
Authors: Atanesyan Arthur , Mkrtichyan Artur
Published: January 2024

This study was conducted between October 2022 and January 2023, aiming to elucidate and highlight changes in the political perceptions, concerns, assessments, and aspirations of Armenia’s youth. The main objectives of the study were to discover the concerns of Armenia’s youth regarding the expansion of the war in Ukraine, to find out the potential effects of the Russian‑Ukrainian conflict and the war in Ukraine on the region of South Caucasus, and on Armenia’s security, and to assess the changes that the war has brought about in the lives of Armenia’s youth and society. Armenia’s youth holds two distinct perspectives on the Russian‑Ukrainian conflict. The first group perceives the conflict primarily as a geographical issue, representing another historical phase of global division and a struggle for dominance among superpowers and alliances. This viewpoint considers certain post‑Soviet countries, including Ukraine and Armenia, and some Arab nations like Syria, to be undergoing a modern geographic transformation. In this context, the 2020 Karabakh War has also been viewed. Russia, the West (NATO, EU, USA), and Turkey compete to exert influence over these countries. From this standpoint, the war in Ukraine is viewed as a battleground, showcasing the broader Russia‑West conflict. Conversely, the second group attributes the Russian‑Ukrainian conflict and war to the personal qualities, aspirations, approaches, and issues of the leaders of Russia and Ukraine.
System trybutarny i jego dziedzictwo we współczesnej dyplomacji Chińskiej Republiki Ludowej
Authors: Niewiński Stanisław
Published: January 2024

The tributary system and its legacy in contemporary Chinese diplomacy The article is devoted to the issue of the classical Chinese view of diplomacy. Their consequence was the creation of the tributary system. The tributary system was developed during the Ming dynasty. The legacy of the tributary system influences China’s foreign policy today. The article is divided into two parts. In the first part, the author discusses the functioning of the tribute system. It describes the stages of its formation and the imperial institutions responsible for the empire’s foreign policy. In the second part, the author analyzes the influence of old traditions on the foreign policy of the PRC after 1978. He describes the issue of Sinocentrism that still influences the Chinese view of the world. The author described China’s influence in selected Asian countries. It also talks about the most important Chinese initiatives in the international arena.
Polityka przeciwdziałania praniu pieniędzy w Chińskiej Republice Ludowej
Authors: Matras Tomasz
Published: January 2024

Anti‑money laundering policy in the People’s Republic of China

Contemporary China is perceived as a country that has effectively remodeled its economic system. It may seem that optimized control mechanisms over the economy effectively eliminate any possibility of abuse, including those of a financial nature. Nevertheless, the introduced facilitations for foreign capital transfers also resulted in an increase in the scale of money laundering, defined as the illegal process of making large amounts of money generated by criminal activity appear to have come from a legitimate source. Since the beginning of the 21st century, China has made intensive efforts to implement financial crime prevention mechanisms and has tried to introduce tools functioning in this area in high developed countries. The article attempts to analyze the anti‑money laundering policy applied in the People’s Republic of China. The genesis, assumptions and goals of the reforms are presented. There is also an assessment of the effectiveness and efficiency of the implemented solutions.
Problemy demograficzne Chińskiej Republiki Ludowej w kontekście bezpieczeństwa społecznego
Authors: Ratkowska Patrycja
Published: January 2024

Demographic problems of the People’s Republic of China in the context of social security

This article explores the issue of demographic policy in People’s Republic of China in the context of social security. The article attempts to assess the impact of the demographic problems of the PRC on the social security of its citizens. The analysis is intended to answer the questions: whether and how reforms related to China’s demographic policies have affected the level of social security in the country.
Wpływ polityki klimatyczno-energetycznej Chińskiej Republiki Ludowej na kształtowanie bezpieczeństwa w państwie
Authors: Szyszkowska Aleksandra
Published: January 2024

The impact of the PRC’s climate and energy policy on shaping security in the country

In recent years, the People’s Republic of China (PRC) has pursued an increasingly active climate and energy policy at both the national and international level. The increased interest in environmental issues is reflected in the declarations that have been made and the investments that have been undertaken. The Chinese government is aware that the fight against climate change is crucial to ensure the security and well‑being of society. In this article, the author will present the measures taken by the PRC and indicate their impact on shaping security in the country.
Patriarchat Moskiewski w Ukrainie – piąta kolumna Rosji czy źródło wiary słowiańskiej?
Authors: Białobrzeska Kateryna
Published: January 2024

Moscow Patriarchate in Ukraine – the fifth column of Russia or the source of the Slavic faith?

Due to the largest number of Orthodox parishes in Ukraine compared to the post‑Soviet countries, Russia strives to maintain its influence there by all means through the functioning of the UOC MP, and religious conflicts have become an inseparable element of Ukrainian reality. There is a long‑term conflict between the faithful of the Ukrainian Orthodox Church of the Moscow Patriarchate and the supporters of the Ukrainian Orthodox Church of the Kiev Patriarchate. Due to the propaganda of hatred against the UOC PK, and later KPU, parishioners of the UOC PM name people who attend masses in KPU dissenters and „strays”, and the church itself – non‑canonical, even after obtaining the tomos in 2019. On the other hand, supporters of the Orthodox Church of Ukraine nominate the Orthodox Church of the Moscow Patriarchate as an instrument of Russia’s propaganda policy. The Russo‑Ukrainian war reopened discussions about the status of the UOC PM in Ukraine.
Regional heterogeneity of agricultural carbon emission reduction potential in China
Authors: Hou Shiqi , Chen Mingjie , Tao Sijie , Li Peijia , He Yanqin
Published: January 2024

Agriculture, a critical industry highly susceptible to climate change, requires thorough analysis of its carbon reduction potential and priority exploration to advance towards green and sustainable development. Therefore, this study employs a variable coefficient panel model to examine the regional heterogeneity of influencing factors. It also uses a PSO-BP neural network model to simulate changes in China's agricultural carbon intensity and total emissions under three distinct scenarios. The findings revealed that (1) under the baseline scenario and aggressive scenario, most Chinese provinces and cities can achieve a 30% reduction in agricultural carbon intensity by 2030, and the advanced economic development in the eastern coastal regions positions them favorably for achieving peak carbon emissions. (2) Economic interventions are the main driving force for most Chinese provinces and cities to achieve their agricultural carbon intensity reduction targets, followed by technological interventions and agricultural population adjustment. (3) Eight provinces and cities can be used as emission reduction benchmarks, while Xinjiang, Inner Mongolia, and Henan are challenging points in attaining national emission reduction targets.
A comparative study of coal fly and bottom ashes as sustainable electroactive vibration damping materials
Authors: Begen Deniz , Calis-Ismetoglu Gokce , Gumus Omer Yunus , Unal Halil Ibrahim
Published: January 2024

Coal is used in most of the power and chemical plants to meet energy needs which produce various waste ashes. Reuse of these ashes as electroactive materials has great importance for sustainable development. In this study, it was detected that the main components of coal fly (CFA) and bottom ashes (CBA) were oxides of silica (SiO2), iron (Fe2O3), aluminium (Al2O3), and magnesium (MgO), besides carbon. These are well-known electrorheological (ER) active materials. The aim of this study is to reveal dielectric and electroactive vibration damping capabilities of CFA and CBA. According to the dielectric and ER flow tests carried out in insulating silicone oil (SO), the optimum concentration of particles was determined to be 35 wt.% for both ashes. Higher ER yield stress (τy = 135 Pa), higher ER efficiency (32.8), and better viscoelastic properties (τc = 128 Pa, G' = 680 kPa) under 3.0 kV mm-1 applied electric field were obtained for 35CFA/SO suspension system compared to 35CBA/SO (τy = 125 Pa, EReff = 24.0, τc = 55 Pa, G' = 260 kPa). Although it was concluded that both ashes can be upcycled to sustainable and smart vibration damping alternative materials, better performance was observed for CFA particles.
When using complexity theory as an approach to methodological design and analysis, what can we learn from teachers about school improvement?
Authors:   , Cook Katie
Published: January 2024

It is the teachers who are at the forefront of any school improvement and how they experience it impacts on development strategies and outcomes. This study explored teacher perceptions of school improvement. The thesis contributes to new knowledge by offering an original approach to qualitative research using the lens of Complexity in the data collection and analysis. It aligns itself with Grounded Theory yet offers an alternative approach using a predetermined theoretical framework. It also builds on the current literature that considers teachers’ perception of the impact of collaboration, teacher leadership and change, on school improvement and student outcomes. The study employed the lens of Complexity Theory. It used semi-structured interviews with six teachers over five phases. Each phase of questions reflected a group of Complexity Theory characteristics and responded to the emerging data. The final phase of the research utilised a focus group, with a different set of six teachers, to test initial findings. This thesis presents a predetermined thematic methodology that has its foundations in the approach associated with Grounded Theory. This study has contributed to new knowledge by exposing five school improvement tensions. These tensions are, Credibility, Time, Power, Practical solutions, and Striving for Equilibrium. The teacher perceived tensions create barriers to improvement but also act as a springboard for change. For example, external sources of expertise who can offer opportunities to recognise development needs, conflicting with experts who are not perceived to be credible and are perceived to hinder school improvement. The school leadership implications for future practice include, considering how the five tensions can be exploited to ensure optimal school improvement opportunities, and how tensions can be better balanced to support teacher workload and wellbeing. The study suggests that Complexity Theory and the five tensions are a useful way to consider the implications of new school improvement policies on teachers and schools.
Assessing the Efficacy of Peer Teaching as an Alternative to Teaching Practice
Authors: Kgwefane Tshepo Andrew , Masimega Gosiame Setogile
Published: January 2024

Globally, the outbreak of the Covid-19 negatively affected human beings across all spheres of live. Higher education was one of the hardest hit sectors as schools closed. In place of the traditional school-based teaching practice, teacher interns did peer teaching. The study used the pedagogical content knowledge framework to assess the effectiveness of peer teaching as a replacement for school-based teaching practice. Questionnaires, interviews and group discussions were used to collect data. The results indicated that peer teaching is a useful strategy to introduce teacher interns to the art of teaching. However, the peer teaching practice environment does not represent the realities of the school classroom. Thus, peer teaching is inadequate to be used as a substitute for school based teaching practice. The results point to need for a thorough review of the use of peer teaching in place of the school-based teaching practice.
IMPLEMENTASI METODE BUSINNES TO BUSINNES DALAM MENINGKATKAN PENJUALAN IKAN PADA PT ASAHI SIBOLGA
Authors: Purba Indra Uli Saputra , Sembiring Boni Oktaviani , Rahayu Eka
Published: January 2024

Penjualan ikan merupakan salah satu kegiatan bisnis yang telah dilakukan sejak zaman dahulu kala. Ikan merupakan salah satu sumber daya alam yang sangat berlimpah di Indonesia, sehingga menjadi salah satu bahan pangan yang sangat penting bagi masyarakat Indonesia. Selain itu, ikan juga memiliki nilai gizi yang tinggi dan rendah lemak, sehingga banyak diminati oleh masyarakat yang peduli akan kesehatan. Salah satu perusahaan yang bergerak di bidang distributor ikan yaitu perusahan Asahi Sibolga, Asahi sibolga merupakan penampung ikan dari nelayan yang telah mereka dapatkan selama berlayar kemudian dijual keperusahaan tersebut. Kemudian  perusahaan tersebut akan menjual ikan yang telah di beli dari nelayan disalurkan ke kota seperti ke pasar tradisonal maupun swalayan yang di kota khususnya kota medan. Namun, perusahaan ikan juga harus memperhatikan masalah kebijakan dan regulasi yang berlaku dalam industri perikanan. Hal ini meliputi persyaratan pengawasan dan pemeriksaan yang ketat dalam hal pengolahan dan penanganan ikan, serta regulasi dalam hal lingkungan dan sumber daya laut yang harus dipatuhi oleh perusahaan ikan. Hasil penelitian ini Implementasi metode B2B dalam penjualan ikan memiliki potensi besar untuk meningkatkan kerjasama. Ini memungkinkan kolaborasi yang saling menguntungkan dalam memperluas pasar dan mengoptimalkan distribusi ikan Kata Kunci : Ikan, Penjualan,B2B
PENERAPAN METODE WEIGHT PRODUCT DALAM MENENTUKAN MEREK SEPATU LOKAL YANG PALING DIMINATI
Authors: Nasution Muhammad Ainil Arbie , Sembiring Boni Oktaviani , Elhanafi Andi Marwan
Published: January 2024

Sepatu merupakan jenis alas kaki yang sering digunakan manusia dari anak kecil hingga orang dewasa dalam berbagai acara ataupun kegiatan sehari –hari. Sepatu menawarkan banyak manfaat mulai dari perlindungan kaki hingga menunjang penampilan seseorang. Dalam beberapa tahun terakhir, permintaan akan merek sepatu lokal semakin meningkat, terutama di kalangan generasi muda. Banyak merek sepatu lokal yang kualitasnya tidak kalah dengan merek internasional yang membuat masyarakat banyak konsumen yang lebih memilih produk-produk lokal daripada produk import. Banyaknya produk lokal yang beredar tentunya masyarakat bingung dalam memilih merek sepatu yang akan digunakan nantinya. Dalam menentukan merek sepatu yang diminati penulis mencoba menggunakan metode wp sebagai salah satu bagian dari pengujian merek sepatu yang diminati. Metode WP dapat diterapkan pada berbagai jenis masalah pengambilan keputusan yang melibatkan beberapa kriteria atau faktor yang harus dipertimbangkan, termasuk pemilihan merek sepatu lokal. Hasil dari penelitian ini yaitu metode Weighted Product (WP) dapat digunakan secara efektif dalam memilih merek sepatu lokal yang paling diminati. Metode ini memberikan hasil yang dapat diandalkan dan konsisten dalam mengambil keputusan. Kata Kunci : Sepatu, Sistem Pendukung Keputusan, Metode Weight Product
APLIKASI SISTEM ADMINISTRASI PADA KANTOR KELURAHAN KWALA BEKALA BERBASIS WEB
Authors: Karo-Karo Ilham Zuneri , Rahayu Eka , Rahayu Eka , Hadinata Edrian , Hadinata Edrian
Published: January 2024

Kelurahan Kwala Bekala adalah salah satu kelurahan yang terletak di Kecamatan Medan Tuntungan, Kota Medan, Provinsi Sumatera Utara, Indonesia. Wilayah ini memiliki luas sekitar 1,87 km² dan penduduk sekitar 26.000 jiwa . Selama ini kelurahan kwala bekala dalam pengurusan administrasi masih menggunakan manual dimana masyarakat yang ini mengurus KTP, Kartu Keluarga, Akte Kelahiran sering mengalami kesulitan seprti harus mengantri dan persyaratan yang dibutuhkan juga kesusahan dikarenakan tidak adanya informasi yang akurat. Dengan adanya dunia digital yang begitu berkembang membuat permintaan masyarakat terhadap kemudahan dalam mengurus administrasi semakin meningkat. Masyarakat mengharapkan adanya layanan yang dapat mempermudah dan mempercepat proses pengurusan administrasi, sehingga mereka tidak perlu lagi menghabiskan banyak waktu dan tenaga untuk mengurus administrasi tersebut. Kelurahan kwala bekala  juga membutuhkan aplikasi pengurusan administrasi untuk memudahkan tugas mereka dalam mengelola administrasi, seperti pendaftaran, pengurusan dokumen, dan lain sebagainya. Hasil dari penelitian ini proses administrasi di Kantor Kelurahan Kwala Bekala dapat ditingkatkan. Penggunaan teknologi ini memungkinkan akses data yang lebih cepat, mengurangi keterlambatan, dan meminimalkan potensi kesalahan manusia