bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Solopreneurs' Journey in the Digital Era
Authors: Jain Pulkit
Published: March 2024

This study explores solopreneurship, an autonomous entrepreneurial model centered on managing digital enterprises aligned with personal interests. It analyzes the transformative impact of social media, investigating strategies like task outsourcing and collaborative ventures using Software as a Service (SaaS). Emphasizing platforms such as YouTube, X, and LinkedIn, the study highlights personal branding's substantial role in audience growth. Amid broader societal shifts, globalization, and economic growth, it delves into solopreneurs' motivations and challenges, stressing social media's indispensable role in reshaping global business practices. The research also probes well-being aspects, identity management, and protective strategies in the digital era. Identifying supportive ecosystems as pivotal, it emphasizes the critical examination of megatrends for a comprehensive understanding of solopreneur dynamics in digital entrepreneurship.
The Future of Entrepreneurship
Authors: Rao T. Venkat Narayana , Vardhan Goboori Harsh , Sushanth Kotamarti
Published: March 2024

The convergence of entrepreneurship and Artificial Intelligence is bringing a revolution in the business world. Recent technological advancements in the field of artificial intelligence are significantly impacting entrepreneurship and economic growth during the Fourth Industrial Revolution. This chapter investigates the combination of artificial intelligence and entrepreneurship offering the reader a perspective on the business landscape. The chapter aims to provide a framework to deploy actionable steps to stay ahead of competition and discuss about the application of AI in various industries like healthcare, finance and marketing. The chapter summaries many key strategies encouraging readers to embrace AI as a key element to their entrepreneurship strategy. AI will boost entrepreneurship by generating new knowledge, which will support economic growth. The aim is to serve as comprehensive guide for business leaders and innovators to explore full potential of AI in scaling up their future ventures.
Artificial Intelligence (AI) and Future Directions of Leadership From Robots (LFR) in Organizations
Authors: Al Farabe Abdullah , Saleheen Ahmad , Noman Samin Yaser , Atique S. M. Farhan
Published: March 2024

Traditional conceptions of leadership have undergone a dramatic change with the introduction of robots into leadership positions (LP). AI and robots will continue to improve, and this will likely have an impact on leadership in enterprises in the future. The abstract explores the leadership capabilities of robots (LCR), highlighting their advantages in working automation. The model finishes by arguing that includes three queries about the uses of Al significantly affective on leadership in workplaces, leadership positions in the medical industry and needing ethical considerations to deal with patients' data to improve patient care. Moreover, this research has a quality assessment with five questionnaires based on the substantial impact on leadership in work systems, the study of potential futures for leadership, the standard of study's research model, following leadership ethics and matching a similar focus between our study and the papers that were collected from other researchers to watch the impact of future direction leadership activity in AI within the organization.
Blockchain and Entrepreneurship
Authors: Archana Kande , Gloth Aarti
Published: March 2024

Blockchain technology has emerged as a disruptive force with the potential to reshape entrepreneurship and business ventures across various industries. Its decentralized, immutable ledger system offers a foundation for innovative solutions, fostering transparency, security, and efficiency. Entrepreneurs are harnessing blockchain for a myriad of applications, from supply chain management to tokenized assets and decentralized finance (DeFi). This chapter delves into the symbiotic relationship between blockchain and entrepreneurship, exploring the transformative role of blockchain in startups, raising capital through initial coin offerings (ICOs), and streamlining processes through smart contracts. As this decentralized ledger technology continues to evolve, entrepreneurs face not only opportunities for innovation but also regulatory and scalability challenges. A comprehensive understanding of blockchain's impact on entrepreneurship is crucial for navigating this evolving landscape, fostering new business models, and realizing the full potential of blockchain technology.
Business Intelligence and Innovation Moderating Roles on Entrepreneurship and Management Using Champiopreneurship Approach
Authors: Ovharhe Harry Orugba
Published: March 2024

The study explored business intelligence and innovation moderating roles on entrepreneurship and management using champiopreneurship approach. The dimensions of business intelligence capture were competitive intelligence (CI) and decision support system (DSS). The innovation was focused on selected simplex innovation (product, process, service, technology, among others) and complex innovation (sustainable, transformational and systematic). The study orchestrates champiopreneurship approach as entrepreneurs with championship characteristics and management acumen on entrepreneurial opportunities. This poses that entrepreneurship is a viable concept for enterprise to achieve their vision, mission, dreams, and entrepreneurial journey. In conclusion, the synchronization of entrepreneurship and management boosts the tendency of prospective and potential entrepreneurs to be equipped with spirit of champiopreneurship by the intensive application of business intelligence and innovation.
Impact of Board of Directors Composition, Activity, and Compensation on the ESG Performance in an International Context
Authors: Amara Tijani , Ahmadi Ali
Published: March 2024

A growing body of research suggests that the Board of Directors Composition, Activity, and Compensation can influence its environmental, social, and governance (ESG). This chapter seeks to fill this gap in the literature by testing the impact of board size, board meetings, women on the board, executive compensation, and ESG controversies on ESG performance. Using one of the largest datasets to date, consisting of an unbalanced panel dataset consisting of 31040 firm-year observations from 5500 listed firms, covering a period of 16 years (2002–2017) from 60 countries around the world, these findings are fivefold. First, these results suggest that board size is positively associated with ESG performance. Second, the authors show that the number of meeting of the board per year is positively related to the environmental, social and governance score. Third, the main empirical evidence shows that the relationship between women on the board of directors and a firm's ESG performance is a strongly significant. Fourth, these results reveal that executive compensation has a positive effect only for some geographic areas. Fifth, there is a negative link between ESG performance and ESG controversies.
Financial Inclusion, Corruption Control, and Inclusive Growth
Authors: Yakubu Ibrahim Nandom , Salifu Mubarik , Saani Mohammed Ridwan
Published: March 2024

This study investigates the impact of financial inclusion and corruption control on inclusive growth in Sub-Saharan Africa (SSA). Employing the generalized method of moments (GMM) and fixed-effect techniques, the research finds that financial inclusion and corruption control significantly contribute to inclusive growth in the region. The results also reveal that trade openness is positively associated with inclusivity, while the impact of remittances is negative. The study recommends prioritizing initiatives aimed at enhancing access to formal financial services across diverse segments of the population. Likewise, it underscores the critical importance of implementing robust anti-corruption measures to create an environment that fosters inclusive economic development.
Navigating Political Turbulence
Authors: Bunyaminu Alhassan , Mohammed Ibrahim , Sadig Husam Eldin
Published: March 2024

Political stability is a cornerstone for societal well-being and economic development, serving as a foundation for effective governance. A stable political environment provides a sense of security and assurance to citizens, fostering social cohesion and a conducive atmosphere for individual and community welfare. This study investigates the dynamics of political stability in Sub-Saharan Africa by analyzing the impact of corruption and government military expenditure. Utilizing data spanning from 2000 to 2020 from 33 countries, the research reveals that political stability is positively influenced by corruption control, suggesting that effective anti-corruption measures contribute to stability. Conversely, the study finds a negative and significant relationship between government military expenditure and political stability, emphasizing the need for rationalizing defense budgets. Surprisingly, economic growth is found to have an insignificant effect on political stability.
The Interactive Effect of Control of Corruption and Government Health Expenditure on Health Outcomes
Authors: Mohammed Abdul-Latif , Yakubu Ibrahim Nandom , Abdallah Iliasu
Published: March 2024

This study investigates the impact of corruption control and government health expenditure on health outcomes in West Africa, examining both direct effects and interactive influences. Utilizing data from 11 countries and employing the random effects technique, the study assesses life expectancy, infant mortality, and under-5 mortality as health indicators. The findings reveal that corruption control enhances life expectancy and reduces infant and under-5 mortality. Government health expenditure shows mixed effects, negatively affecting life expectancy and positively influencing infant and under-5 mortality. The interactive impact of corruption control and health expenditure on health outcomes is insignificant. The study recommends that policymakers in West Africa prioritize comprehensive anti-corruption measures to enhance life expectancy and mitigate infant and under-5 mortality. Thus, strengthening transparency and governance frameworks is crucial for achieving Sustainable Development Goal (SDG) 3.
Food Challenges and Opportunities for Medical Tourism in Serbia
Authors: Zrnić Miloš
Published: March 2024

The research, conducted in November 2023, explores the relationship between culinary experiences and the medical tourism industry in Serbia. Focusing on prominent spa destinations – Prolom Banja, Vrnjačka Banja and Soko Banja – the study aims to provide contextually relevant insights reflective of the broader medical tourism landscape. The sample includes 592 diverse medical tourists. Structured interviews were carried out on the premises of three chosen spas, involving interactions with medical guests. The data was organized using Microsoft 365 Excel. The aim of this study was to acquire comprehensive perspectives on food challenges and opportunities for medical tourists. Data collection involves surveys to capture preferences and challenges, forming the basis for understanding and improving culinary aspects in Serbian spas. Research results highlight a notable correlation between the culinary offerings within spas and the overall experience of medical tourism.
The Strategic Efficacy of Artificial Intelligence (AI) in Medical Tourism
Authors: Gbobaniyi Olabode , Tincani Daniela , Emelone Peter
Published: March 2024

AI's integration and adoption in the sector have evolved to be a game-changer through operational revolutionisation regarding accessibility to advanced diagnosis and treatments, reduced waiting times, and cost savings. This chapter explores the strategic efficacy of AI in the context of medical tourism. Using the term “strategic efficacy,” the authors encompass the concept of efficiency and effectiveness of AI in achieving a strategic outcome in medical tourism. The authors' purviews are that is important to ensure that an AI strategy in medical tourism not only looks good on paper but also continues to produce high success for the global practice. In this chapter, the authors discuss AI's emergence in the medical tourism industry, the strategic efficacy of AI in medical tourism, the categories of AI-system devices used in medical tourism, and the AI-system devices. Also discussed are AI systems applications to some major diseases in medical tourism.
Artificial Intelligence-Driven Enhancements in Medical Tourism
Authors: Bathla Gaurav , Raina Ashish , Rana Varinder Singh
Published: March 2024

This chapter explores the opportunities, challenges, and future prospects associated with the integration of AI-driven enhancements in the realm of medical tourism. As globalisation continues to advance, individuals in search of medical remedies frequently consider alternatives situated outside their immediate vicinity. Medical tourism is also known as wellness tourism, medical travel, or health tourism was first used by travel firms and the media to refer to the quickly expanding trend of people traveling abroad for medical treatment. The health care industry is becoming more globalized, and many developing nations like India which have the means and potential to meet this demand. By integrating AI technologies in this particular context, uncharted territories are revealed, and the overall patient experience, medical outcomes, and operational efficiency are all enhanced. Telemedicine and AI-powered virtual consultations facilitate uninterrupted communication between patients and medical practitioners, surpassing the limitations imposed by physical distance.
Impact of AI and Robotics on the Medical Tourism Industry
Authors: Abou Fayad Simon
Published: March 2024

The internet and its proliferation have had a profound impact on various fields such as science, industry, and medical computer networks. This has resulted in improved medical treatments. Telemedicine serves as a connection between the fields of medicine and engineering, allowing the medical community to utilize engineering resources in order to enhance the well-being of the population. Smart surgery is a form of remote surgery where a surgeon operates on a patient from a distance. The surgeon operates remotely via communication tools, highlighting the intriguing potential of this technology. Telemedicine can be employed during surgery to establish communication with another specialist regarding the feasibility of the procedure. Televisions can serve as a means for postoperative monitoring, while robotic surgeons enable proficient medical professionals to do minimally invasive surgery (MIS) with remote-controlled surgical robots, delivering expert treatment from distant sites.
Concepts of the Nature and Development of Control
Authors: Nedyalkova Plamena
Published: March 2024

Financial control as scientific knowledge and theoretical dogma is interesting for scientific research circles, but when theoretical knowledge and theoretical concepts are refracted through the prism of practice, then the unceasing desire to improve theoretical concepts, through the prism of practice, is truly manifested. Over the years, financial control has confirmed its relevance, modernity, dynamism, and provocativeness in the development of financial control methods and means for implementing financial control. Changes in the methods' means, ways, types, and forms of financial control are due to changes in the specifics and features of financial and accounting objects, and they are also a result of the appearance of new financial and accounting objects. As a consequence of changes in the financial and accounting objects, financial control is difficult to be covered and systematically and accurately describe as a technology and as a sequence of actions.
Using Night-Time Lights and Statistical Data to Measure Regional Inequality in Turkey
Authors: Ustaoglu Eda
Published: March 2024

Poverty and inequality are the outstanding challenges in both developing and developed countries in the globe. Using Suomi National Polar-orbiting Partnership (NPP)-Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light (NTL) images and socio-economic data from administrative sources, this chapter focuses on the association between nighttime lights and economic activities with an aim of computing regional income inequality indices for the year 2015 in Turkey. Gini, the Atkinson and Theil statistics were used to establish regional inequality indices using both NTL and statistics data. The findings indicated that urban NTLs are strongly correlated with economic activity while the correlation is much weaker regarding rural nightlights and agricultural output. It can be noted that there was increasing regional inequality in north-west, south, and south-east regions whereas regional equality was more homogeneously distributed. The results indicated that NPP-VIIRS nightlight data can help to perform regional inequality assessments for the urban areas in Turkey.
Harmonizing Financial Systems for a Greener Future
Authors: Vellaiyan Saravanan , Loganathan Swetha , Pachiyappan Sathish , Raj V. John Paul
Published: March 2024

Sustainable finance represents the next biggest transformation in the financial sector to aid the process of sustainable development. Sustainable finance comprises traditional investment which provides financial profits as well as financing the projects or investments that have social, economic and governance impact. The transition from traditional investment to sustainable finance is underway in different markets at different capacities. This study seeks to examine the performance of sustainability indices representing sustainable finance in the Indian and global markets by analysing returns. It was found that sustainable finance gained significant appreciation in the Indian market. In comparing the performance of sustainability indices in developing and developed markets, there was no development divide identified. In this path towards widespread adoption of sustainable finance, data science as a field also provides promising applications for facilitating this transformation.
Henry Kissinger's Shift on Ukraine and Its Implications for Russia
Authors: Pietrzak Piotr
Published: March 2024

The Ukrainians are no longer merely seeking to end this conflict; they are striving to end Russia's influence in their country and Eastern Europe by extension, and they are determined to join NATO and the European Union because this is the only guarantee of their objective. This determination even persuaded scholars such as Kissinger to endorse their cause, clearly proving that even the most pragmatic thinkers can support the grand strategy of the Zelensky doctrine. Kissinger opposed Ukraine's transatlantic aspirations throughout the majority of his professional life. His initial peace proposal in 2022 also suggested the traditional solution of freezing the conflict, but this was strongly criticized by Ukrainians and specialists in the field. Partly in response to this criticism and after a period of extended contemplation, Kissinger presented a reformulated response endorsing Ukraine's NATO membership as an “appropriate outcome.” Kissinger's shift in position can be seen as a substantial boost to the transatlantic aspirations of embattled Ukraine.
Artificial Intelligence Approach to Portfolio Management
Authors: Jangra Gaurav , Irfan Mohammad , Jangra Monika , Verma Chaman
Published: March 2024

With AI's ability to analyze data, make predictions, and improve decision-making, investment management has seen a dramatic shift away from conventional methods. Using examples from machine learning and natural language processing, this chapter delves into the many ways artificial intelligence (AI) is changing the face of investment management, including portfolio management, risk assessment, and the industry as a whole. With the introduction of AI technology for investment management, the financial industry has seen a dramatic change. Investment strategies and decision-making have been profoundly affected by AI's capacity to analyze massive volumes of data, spot trends, and generate educated predictions. Portfolio management, risk management, operational efficiency, and alpha generation will be the factors studied.
Bridging Finance and Sustainability
Authors: Kismawadi Early Ridho , Irfan Mohammad , Haron Razali , Masitah Masitah
Published: March 2024

This research aims to investigate the role of Islamic financial institutions in supporting green finance and facilitating the transition to sustainable energy. With a focus on Sharia principles, such as the prohibition of riba and adherence to risk, profit, and loss sharing, Islamic financial institutions are considered ethical and socially responsible entities that have the potential to drive positive change in the global financial landscape. Through a layered methodology that includes an in-depth literature review, case studies of sustainable energy projects supported by Islamic finance, and analysis of regulatory frameworks, the research provides a holistic understanding of the dynamics taking place. The results highlight the unique creativity and innovation of Islamic financial institutions in supporting green finance, with a particular focus on financial instruments such as green sukuk and other financing products.
Analyzing Persistence in Sustainable Indices and Global Stock Indices
Authors: Dias Rui , Irfan Mohammad , Galvão Rosa Morgado , Morão António
Published: March 2024

This study aims to examine multifractality and test whether green markets and traditional capital markets react similarly to the phenomenon of persistence during extreme events in international financial markets. The green indices analyzed are from the USA, namely S&P Green Bond, Wilderhill Clean Energy, and the capital markets of the United Kingdom (FTSE 100), Europe (EURO STOXX 50), the USA (DOW JONES), Japan (NIKKEI 225), China (SHANGHAI SE A), India (NIFTY 500), Israel (TA 125), and Russia (MOEX) from January 1, 2018 to November 23, 2023. The results show no significant differences between green markets and traditional capital markets in terms of persistence, either in periods of stress or tranquility in the international financial markets; therefore, the research question is rejected because there are no distinct behavior patterns. The findings provide crucial insights for investors, policymakers, and other participants in the green and traditional financial markets.
Assessing the Impact of Green Finance Investments on Sustainable Development
Authors: Shukla Shipra , Dixit Anshu , Mishra Jyoti , Shaikh Zakir Hossen
Published: March 2024

AMC, as a prominent player in the Indian industry, holds a substantial portfolio of investments across various asset classes. This study seeks to investigate the extent to which AMC has incorporated green finance strategies, including sustainable investment practices, environmental risk assessment, and the development of eco-friendly investment products. The research will employ a mixed-methods approach, combining quantitative analysis of AMC's portfolio to identify green investments, and qualitative interviews with key stakeholders within the organization to gauge their perceptions, strategies, and challenges related to green finance integration. By shedding light on the green finance practices of AMC, this study contributes to the broader discourse on sustainable finance in India's financial sector. It offers insights into the challenges and opportunities faced by asset management companies in aligning their operations with environmental and social responsibility and provides a foundation for further research and action in this critical area. Ultimately, this study aims to foster a more sustainable and environmentally responsible approach to asset management within AMC and the Indian industry.
Leveraging Artificial Intelligence for Slum Mapping and Upgrading Programs Using Drones
Authors: Mohan N. , Irfan Mohammad , Chandrika N. , Elmogy Mohammed Mahfouz
Published: March 2024

In many developing counties, urban slums pose significant challenges to residents and authorities alike. The lack of accurate, up-to-date information on slum settlements hampers effective urban planning and slum upgrading initiatives. This chapter explores the potential of artificial intelligence (AI) coupled with drone technology in mapping and analysing slum areas for the purpose of informing and supporting slum upgrading programs. By leveraging AI algorithms for image processing and analysis, coupled with high-resolution aerial imagery captured by drones, this approach offers a cost-effective and efficient method for mapping slum areas, identifying key features, and prioritizing interventions. The chapter discusses the technical aspects, challenges, and opportunities associated with AI-based slum mapping, along with case studies done by selecting 10 slums in Bangalore and recommended government and local corporation to implement the schemes of government as early as possible to see the practical applications to demonstrate its effectiveness in supporting slum upgrading efforts.
Framework for Circular Economy Industrial Cluster Ecosystems to Evaluate the Sustainability of ESG Performance
Authors: Singh Sandhya , Irfan Mohammad , Saxena Ankita , Muhammad Aliyu Dahiru
Published: March 2024

The circular economy has emerged as a key driver for sustainability progress in the current digital era. Companies in the circular economy have increased GDP and generated employment dramatically. Future developments in digitization, resource availability, and ecological issues call for new strategies in the digital age. E-businesses must guarantee the circular economy's sustainable expansion in addition to their attention to environmental issues. The circular economic business model that is suggested by the study aims to improve ESG (environment, social, and governance) performance as well as sustainability. To track the technical aspects of the circular economy process and decrease operational costs and resource needs, the authors have utilized indicators. Here, they provide a comprehensive study that takes into account a complete review of the relevant literature, the e-business paradigm for the circular economy under development, a company, a portfolio of e-business applications, and the development of software applications for a circular economy enterprise.
Right to Online Education vis a vis Privacy
Authors: Gupta Mili , Singh Gagneet
Published: March 2024

Online learning platforms have accelerated tremendous growth since the inception of the Covid pandemic. Learning platforms such as Khan academy and BYJU's had shown significant rise in the enrolment figures of candidates willing to pursue online education. The Covid-19 pandemic, at one time, depicted a picture that online education is the only future as schools and colleges were forced to shut down. However, accessing online education was not easy for every student due to several hindrances. The right to access online education can be hindered by data packs, electricity etc. The state has to look into the fact that economic, cultural, or social barriers are not restrictions for a child to access online education. Online education has been emphasized in different educational policies; several judicial pronouncements but lack effective mechanism to put it in the right place. The most ignorant part is the collection, storage, and dissemination of students' personal data, as the shift from physical to online mode of education involves data transfer of students either directly or indirectly.
An Investigation Into Primary School Teachers' Perceptions About the Delivery of Physical Education (PE) Lessons Through Distance Learning, in the Republic of Ireland, During the COVID-19 Pandemic
Authors: O'Hanlon Conn , Li Xiuping
Published: March 2024

The purpose of this chapter is to present a study based at a primary school at the Republic of Ireland, which investigates the perceptions of primary school teachers about the delivery of PE lessons through distance learning by leveraging technology using Google Classroom (GC) during the COVID-19 pandemic. To achieve the primary objectives of this study, a mixed-method approach was adopted. The research instruments employed include teacher questionnaires and a focus group. The quantitative data was gathered and analysed through Google Forms and the qualitative data was collated and analysed thematically in terms of thematic analysis. The results demonstrate the challenges and strategies during distance learning and indicate the importance of PE teacher training and the significance of leadership. This study concludes with a list of future recommendations derived from the findings concerning the development of practical strategies to resolve PE issues and to effectively support school children with physical health and mental well-being.
Socially Connected Learning Harnessing Digital Platforms for Educational Engagement
Authors: Gupta Dhiraj , Khan Arbaaz Ali , Kumar Abhishek , Baghel Manoj Singh , Tiwar Ayush
Published: March 2024

The chapter commences by examining the evolving role of social media in the digital age and its pervasive influence on communication, collaboration, and information dissemination. It navigates through a diverse array of social media platforms, exploring their unique features and potential applications within educational contexts. A critical focus of the chapter lies in the pedagogical implications of incorporating social media into teaching strategies. It discusses how educators can leverage these platforms to foster interactive and collaborative learning environments, empowering students to actively participate in knowledge creation and dissemination. The exploration extends to the cultivation of digital literacy skills, emphasizing the importance of guiding students in navigating the complexities of online information.
Limits for the Punching Shear Capacity of the Flat Slabs Reinforced with Transverse Reinforcement
Authors: Gregusova Natalia , Halvonik Jaroslav
Published: March 2024

One of the most effective and common ways of an increasing the punching shear capacity of the flat slabs is using of shear reinforcement. An important limit during the design is the determination of the maximum punching shear resistance. The fact that the calculation of such an important value is still clearly empirical has met with criticism from many experts in recent years. Consequently, a new design model for the calculation of the maximum punching shear resistance, based on the critical shear crack theory was developed. The second generation of the Eurocode 2 (prEC2) introduces a more accurate and sophisticated design model for the determination of the upper limit of the punching shear capacity and considers several parameters. The main aim of this paper is to describe the new methodology of calculation of the maximum punching shear strength and the parameters that could influence it. The paper deals also with an assessment of the suitability of new model by comparing it with experimental results, that have been selected from a database of specimens that failed by punching at the level of VR,max.
Characteristics of Mesoporous Silica Nanoparticles-Benzotriazole (MSN-BTA) Using Rice Husk as an Environmentally Friendly Precursor
Authors: Rumiyanti Leni , Garcia Shania , Syamsuri Muhammad Mahfudz Fauzi , Marjunus Ronius , Istiqomah Nurul Imani , Chotimah Chotimah , Suharyadi Edi
Published: March 2024

This work identifies the effect of loading benzotriazole (BTA) on mesoporous silica nanoparticles (MSN) as an initial step in preparing a self-healing corrosion-protective coating with environmentally friendly precursors, rice husk, which advantages cheaper, renewable, and contains relatively high silica. This research uses the sol-gel method to synthesize MSN. Based on the result, it is known that the loading of BTA strongly affects the porosity properties of these nanoparticles. The pore sizes increase as the surface areas and pore volumes decrease. However, the silicone composition shrinks. Based on pore size, it is known that all the samples in this work were mesoporous materials (over 2 nm) with spherical and globular morphologies (like coral reefs).
Glass Transition Temperature and Mechanical Properties of Poly(Ethylene Carbonate)/Organoclay Composites
Authors: Ramlee Nur Azrini , Ibrahim Nur Syazwani Antong , Victor Baxley Jinuin , Shaari Norin Zamiah Kassim
Published: March 2024

Poly(ethylene carbonate) (PEC) is a form of aliphatic polycarbonate, a biodegradable polymer made via the copolymerization of carbon dioxide and epoxides. The poor thermal stability and mechanical properties of these aliphatic carbonates are attributed to the carbon structure's flexibility, which restricts their applications. By combining PEC with organoclay CP180, this study addressed the weaknesses of PEC with organoclay addition. A physical blending technique was employed to generate PEC/organoclay composites with a 10-50 wt.% ratio of organoclay. The blended material's thermal characteristics were analyzed using differential scanning calorimetry (DSC), and the mechanical characteristics were measured using a universal tensile machine. The Field Emission Scanning Electron Microscopy (FESEM) analysis determined the blends' morphology. Before the torque value for all curves grew with the addition of CP180 material to the PEC matrix, it became constant. It reached a high value due to the shear-thickening behavior of the PEC matrix with organoclay addition. Tg of PEC increased by more than 7°C by 40 wt.% organoclay addition, as evident in the hindrance of PEC flexibility, significantly increased the toughness of this PEC. From the FESEM images, the formation of large silicate starts to aggregate effectively, lowering the interfacial area between organoclay and PEC as the clay content continues to rise, as shown by 50 wt.% organoclay addition.
The Impact of Hydration Heat on the Formation of Cracks in Massive Concrete Structures
Authors: Potuckova Simona , Holy Milan , Kolisko Jiří
Published: March 2024

The article deals with the analysis of the development of hydration heat in massive concrete structures and focuses mainly on risk factors which could lead to the appearance of early age cracking in the structure shortly after concreting. As part of the analysis, a parametric study was carried out, which was focused not only on the size of cracks on the surface of the structure, but also on the evaluation of the temperature gradient, where the ratio of the temperature difference and the distance between two points was investigated. During the study, different variants of the type and length of surface covering and different boundary conditions in terms of ambient temperature during individual seasons were considered. The numerical analysis was performed using nonlinear numerical calculations in ATENA software. At the conclusion, an evaluation of the effect of different types of covering of the concrete structure on the reduction of the number and size of surface cracks caused by hydration heat is carried out.
Analysis of Position Effect of Vertical Load-Bearing Elements for Reinforcement of Steel Reinforced Concrete Floor Structures
Authors: Tipka Martin , Macecek Tadeáš , Vaskova Jitka
Published: March 2024

The paper deals with the problem of stress in the connection detail of vertical supporting structures with a flat slab and possible methods for its analysis. It mainly focuses on the problem of non-axial connection of columns and walls, which is typical for today's architectural designs. The parametric study compares the effect of the distance of the connected vertical support structures on reinforcement in the discontinuity region. Three different computational methods are used to stress analysis of this region - linear Finite Elements Method in SCIA Engineer software, 2D Strut-and-Tie Model and 2D non-linear Finite Elements Method in IDEA StatiCa software. The conclusion of the study is a comparison of the accuracy of different calculation methods and also a comparison of the solved design variants in terms of shear and bending stress and specific form of reinforcement.
Optimization of Reinforced Concrete Structures in Terms of Environmental Impacts, Durability and Cost
Authors: Horakova Anna , Kohoutkova Alena , Broukalova Iva
Published: March 2024

The paper deals with the methods of software optimization of the concrete structure in terms of environmental issues, durability, and cost. It links to previously developed software tool that enables multi-criteria optimization of a 1 m2 one-way slab. A feasibility study focused on the optimization of larger structural units, and it analyses and compares methods of concrete structures optimization in terms of environmental impacts, durability, and life-cycle cost.
Microstructure and Super-Elasticity of Fe-33Mn-17Al-8.5Ni (at. %) Alloy for Structural Applications
Authors: Kamugisha Paul , Fahmy Mohamed F.M. , Nada Ayman Ali Ahmed , Gepreel Mohamed Abdel Hady
Published: March 2024

The control of the residually stressed γ’-FCC phase in the grain boundaries that affects super-elasticity in the promising Fe-Mn-Al-Ni shape memory alloy (SMA) and grain size enhancement was an epitome for research in the current study. New composition Fe-33Mn-17Al-8.5Ni (at. %) was designed with the help of thermocalc software TCFE 11 database, produced in an electric arc furnace under an argon atmosphere and systematically investigated in the as-cast and heat-treated conditions. Characterization was performed using optical microscopy, X-ray diffraction measurements (XRD), and compression tests. Controlling the cooling conditions after heat treatment (HT) with high flowrate air cooling helped to reduce on the formation of the detrimental phase, γ’ at the grain boundaries as well as observed some grain growth in the microstructure without necessarily causing cracking as reported previously with quenching in cold water. The yield strength depicting the stress-induced martensitic transformation was 925 MPa for as cast and 909 MPa upon heat treatment. From cyclic compression loading/deloading training, a recovery strain of 2.1% and 2.3% was attained at 800 MPa maximum stress in the as-cast and heat treated-conditions, respectively.
Production of Steel-Concrete Composite UHPFRC Elements for Experimental Tests of the Blast Resistance
Authors: Citek Adam , Krystov Martin , Hurtig Karel , Sulc Vojtech , Foglar Marek , Citek David
Published: March 2024

The resistance of structures to the effects of explosions is very current issue in these days. During explosion structures are subjected to extreme dynamic local loads and it is necessary to the structure and its reinforcement for this type of loading. In UHPFRC the reinforcement is evenly distributed throughout the structure in the form of dispersed steel fibres. Based on the knowledges of excellent mechanical properties of both steel and UHPFRC, there is an assumption that an appropriate combination of these materials in the sense of composite constructions should result in significantly less damage to the structure in the case of explosion. The paper is focused on the process of production of testing specimens intended for blast resistance tests. The first part of the paper describes tests elements and goals of the experiment. In the next part of the paper the design and material properties of the used concrete mixtures are described. Then production in the sense of formwork preparation and casting is described. At the end of the article, there is a brief comparison of the results achieved for specimens from UHPFRC and reference NSC.
IL-10 Differentially Promotes Mast Cell Responsiveness to IL-33, Resulting in Enhancement of Type 2 Inflammation and Suppression of Neutrophilia
Authors: Ranjitkar Saurav , Krajewski Dylan , Garcia Chelsea , Tedeschi Caitlin , Polukort Stephanie H , Rovatti Jeffrey , Mire Mohamed , Blesso Christopher N , Jellison Evan , Schneider Sallie S , Ryan John J , Mathias Clinton B
Published: March 2024

Mast cells (MCs) play critical roles in the establishment of allergic diseases. We recently demonstrated an unexpected, proinflammatory role for IL-10 in regulating MC responses. IL-10 enhanced MC activation and promoted IgE-dependent responses during food allergy. However, whether these effects extend to IgE-independent stimuli is not clear. In this article, we demonstrate that IL-10 plays a critical role in driving IL-33–mediated MC responses. IL-10 stimulation enhanced MC expansion and degranulation, ST2 expression, IL-13 production, and phospho-relA upregulation in IL-33–treated cells while suppressing TNF-α. These effects were partly dependent on endogenous IL-10 and further amplified in MCs coactivated with both IL-33 and IgE/Ag. IL-10’s divergent effects also extended in vivo. In a MC-dependent model of IL-33–induced neutrophilia, IL-10 treatment enhanced MC responsiveness, leading to suppression of neutrophils and decreased TNF-α. In contrast, during IL-33–induced type 2 inflammation, IL-10 priming exacerbated MC activity, resulting in MC recruitment to various tissues, enhanced ST2 expression, induction of hypothermia, recruitment of eosinophils, and increased MCPT-1 and IL-13 levels. Our data elucidate an important role for IL-10 as an augmenter of IL-33–mediated MC responses, with implications during both allergic diseases and other MC-dependent disorders. IL-10 induction is routinely used as a prognostic marker of disease improvement. Our data suggest instead that IL-10 can enhance ST2 responsiveness in IL-33–activated MCs, with the potential to both aggravate or suppress disease severity depending on the inflammatory context.
MENINGKATKAN KEMAMPUAN MENGENAL ANGKA MELALUI MEDIA ULAR TANGGA DI KELOMPOK B TAMAN KANAK-KANAK YOSI NANGA PINOH KABUPATEN MELAWI
Authors: Sudarmiati Sudarmiati , Saputri Linda Dwi , Kartini Kartini
Published: March 2024

Penelitian ini bertujuan untuk meningkatkan kemampuan mengenal angka anak melalui metode bermain pada anak di kelompok B TK Yosi Nanga Pinoh. Penelitian ini merupakan penelitian tindakan kelas. Subjek Penelitian ini anak kelompok B yang berjumlah 15 yang terdiri dari 10 anak laki-laki dan 5 anak perempuan. Objek penelitian ini peningkatan kemampuan mengenal angka anak melalui metode bermain. Metode pengumpulan data menggunakan observasi dan dokumentasi. Teknik analisis data dilakukan secara deskriptif kualitatif dan kuantitatif. Hasil penelitian menunjukkan bahwa metode bermain permainan ular tangga dapat meningkatkan kemampuan mengenal angka anak. Kemampuan awal sebelum tindakan menunjukkan jumlah skor keseluruhan 415 dengan hasil rata-rata presentase 29,64% dengan kriteria belum berkembang (BB) setelah dilakukan tindakan pada siklus I mengalami peningkatan dengan menunjukkan jumlah skor keseluruhan 635 dengan hasil rata- rata presentase 45,35% dengan berkembang sesuai harapan (BSH). Setelah dilakukan tindakan pada siklus II mengalami peningkatan besar dengan menunjukkan jumlah skor keseluruhan 1205 dengan hasil rata-rata presentase 86,07% dengan kriteria berkembang sangat baik (BSB).Perolehan persentase tersebut menunjukkan bahwa kemampuan mengenal konsep bilangan anak di kelompok B dengan kriteria baik yang telah mencapai indikator keberhasilan sebesar 80 %. Kesimpulan dari penelitian ini bahwa penggunaan media ular tangga dapat meningkatkan kemampuan anak dalam mengenal angka.Kata Kunci : Media Ular Tangga, Kognitif, Angka
PENGARUH PERMAINAN BALOK HURUF TERHADAP PERKEMBANGAN KOGNITIF ANAK USIA DINI DI PAUD TERPADU AISYAH MADONG RAYA
Authors: Jamaliyana Jamaliyana , Waridah Waridah , Mutaqin Nur Sulistyo
Published: March 2024

Pendidikan anak usia dini merupakan sekelompok anak dengan usia 0-7 tahun yang berada pada masa pertumbuhan dan perkembangan yang unik. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh pemain balok huruf terhadap perkembangan kognitif anak, Penelitian ini merupakan penelitian eksperimen kuantitatif dengan desain one grup pre test - post test . Subjek dari penelitian ini adalah seluruh siswa/siswi di Paud Terpadu Aisyah Madong Raya yang berjumlah 27 orang, penelitian ini dilaksanak.an dengan dua tahapan yaitu pre test atau tes awal dan post test yang merupakan tes akhir yang telah diberikan treatment dari kedua nilai rata- rata dari tes tersebut dihitung dengan SPSS21 dengan rumus uji t sampel berpasangan. Teknik pengumpulan data yang digunakan adalah wawancara dan observasi. Permainan balok huruf berpengaruh terhadap perkembangan kognitif anak usia dini dengan indikator berikut: Mengurutkan huruf dari az ,Mengelompokkan benda, Membedakan huruf balok dan kafital dan Merangkai kata atau kalimat .Pengaruh permainan balok huruf bagi anak usia dini sebesar -133.000 yang diperoleh melalui hasil rata- rata-rata pre test sebesar 51,26 dan rata-rata post test sebesar 184,26. Maka berdasarkan hasil uji t bahwa atau 0.001(p0,005) berarti Ha diterima. Kata Kunci : Permainan Balok Huruf, Perkembangan Kognitifn, Dan Anak Usia Dini
Proses Pembelajaran Tari Anak Usia Dini
Authors: Mukhlisin Mukhlisin , Lestari Kasihani
Published: March 2024

Pembelajaran adalah proses interaksi peserta didik dan pendidik serta pada suatu lingkungan belajar, tak terkecuali dalam Proses Pembelajaran Tari pada Anak Usia Dini. Penelitian ini mengkaji proses pembelajaran Tari di PAUD. Penelitian ini menggunakan metode kualitatif, dan pendekatan Pendidikan. Pengumpulan data menggunakan tekhnik observasi, wawancara dan studi dokumen. Prosedur analisis data menggunakan reduksi data, penyajian data dan verifikasi data. Validitas data dalam penelitian ini menggunakan trianggulasi sumber data. Hasil penelitian adalah: Secara khusus temuan dalam Proses Pembelajaran Tari di PAUD, Manfaat hasil penelitian ini dapat digunakan sebagai rujukan dalam pembelajaran tari khususnya dan pada pembelajaran seni di PAUD.Kata Kunci: Pembelajaran, Tari, Anak Usia Dini
Analisis Pengujian Metode Liquid Penetran Testing Bedasarkan Acceptance Criteria Penetrant Testing Pada Komponen Cessna 152
Authors: Kaka Zada Muhammad Rahmatullah , Makmur Munawir , Rusman
Published: March 2024

Pesawat Cessna 152 adalah pesawat terbang ringan bermesin tunggal yang banyak digunakan untuk pelatihan penerbangan. Struktur pesawat tersebut harus mampu menahan berbagai stress yang terjadi akibat gaya saat pesawat terbang. Salah satu area yang berpotensi mengalami penurunan kekuatan yaitu landing gear dan propeller hub. Penurunan kekuatan tersebut dapat menyebabkan terjadinya crack pada bagian tersebut. Oleh karena itu, deteksi cacat pada struktur pesawat sangatlah krusial. Liquid penetrant testing adalah salah satu metode untuk menemukan crack memanfaatkan daya kapilaritas pada permukaan uji sehingga crack dapat terlihat. Batas kriteria dari  kecatatan yang ditimbulkan dapat diketahui dengan acceptance criteria penetrant testing ASME. Tujuan penelitian ini untuk mengetahui indikasi dan batas kriteria kecacatan yang timbul pada axle landing gear dan propeller hub menggunakan liquid penetrant testing mengacu standar ASME . Metode yang digunakan kuantitatif dengan desain pengujian yakni hasil pengujian menyajikan data kuantitatif dari pengujian liquid penetrant testing pada komponen yang diuji. Diketahui hasil penelitian menunjukkan komponen axle main landing gear terdapat 2 kecacatan linear (crack) yang ukurannya diluar batasan yang ada dengan kriteria rejected dan propeller hub terdapat 2 kecacatan linear (crack) dan kecacatan rounded (pin hole) yang ukurannya diluar batasan yang ada sehingga dinyatakan juga rejected. Sesuai dengan standar ASME, kecacatan yang diperoleh ditolak, namun relevan tapi harus dilakukan maintenance.