bluuebunny/crossref_metadata_2025 huggingface dataset:
Organizational Management Variables Enhancing the Organizational Citizenship Behaviors
Authors: Vargas-Hernandez José G. , González Francisco Javier J. , Reyes-Sànchez Josè Jesus , Vargas-González Omar C.
Published: July 2024

This study analyses the implications of organizational management variables in the enhancement of organizational citizenship behaviors. It departs from the assumption that management, motivation, commitment, leadership styles, innovation and other relevant have effects on the organizational citizenship behaviors. The method employed links the analysis, description, and reflection base on the theoretical and empirical literature review. It is concluded that organizational management variables enhance the self-efficacy of organizational members and the effectiveness of the organization involved in organizational citizenship behaviors.
Climate Change
Authors: P. Selvakumar
Published: July 2024

The mitigation and adaptation strategies to climate change used globally in the aforementioned sectors, as well as the corresponding financial costs, are evaluated sector-by-sector in this review. The results show that government engagement is essential to the nation's long-term growth because it ensures strict accountability of the resources and rules put in place previously in order to create innovative climate policy. As a result, reducing the effects of climate change must be of the utmost significance. To maintain global sustainability, this global threat requires global resolve to address its terrible ramifications. A natural area's richness is derived from the mosaic of plants, animals, and microorganisms that make up its biodiversity, as well as from the genetic variability exhibited in these species' populations and habitats. Humans are sustained physically, aesthetically, medically, and spiritually by biodiversity, or biological resources.
Science Resistance
Authors: Ceglie Robert John
Published: July 2024

Scientific literacy is a key area of focus for the science and education community, with renewed interest due to global challenges such as climate change and the recent events of the COVID-19 outbreak. Unfortunately, we live in a time where misinformation and disinformation are negatively impacting the acquisition of scientific knowledge and skills. This is affecting the American public and leading us to decreased scientific literacy rates and an increase in skepticism of the scientists working to make our world a better place to live. Efforts to increase scientific literacy require multiple stakeholders to work together to increase accessibility, transparency, and access to accurate scientific information for all citizens. While this is a lofty goal, it is essential if we are going to combat the scientific challenges that we face in our world.
Interrogating Environmental Verities
Authors: Khan Saad Ullah , Khan Sadaf , Malik Shakir Hussain , Tamandehrou Amanollah
Published: July 2024

This chapter examines the role of web series as influential instruments for fostering environmental awareness and augmenting ecological literacy. It employs exemplars such as 'Jengaburu Curse,' 'The Railway Men,' and 'Teerandaz' to elucidate its argument. The study scrutinizes how these narratives intricately interweave fictional storytelling with environmental messages, effectively raising awareness of critical ecological issues. Through systematic examination, the study explores the web series' role in unravelling environmental complexities and elucidates the socio-political factors influencing environmental discourse. Through the deconstruction of these narratives, the researchers strive to enhance understanding of the potential of visual storytelling in cultivating environmental consciousness. Ultimately, it advocates for a paradigm shift in public perception, underscoring the transformative influence of web series in sensitizing individuals to ecological concerns and encouraging deeper engagement with environmental issues within Indian society.
Leveraging GIS for Environmental Planning and Management
Authors: Ali Aitizaz , Zakwan Hadeed Muhammad , Safavi Seyedmostafa , Ahmad Munir
Published: July 2024

This chapter emphasized the pivotal role of GIS in environmental decision-making by exploring spatial data collection methods, including GPS, remote sensing, LiDAR, and drones, highlighting their contributions to understanding environmental attributes. Spatial data integration and management within GIS are discussed as an efficient approach to data storage, retrieval, analysis, and modeling that facilitates evidence-based decision-making. Public engagement and communication using GIS can foster stakeholder involvement. GIS's relevance in shaping environmental policies and regulations is emphasized, covering habitat preservation, water resource management, air quality regulation, and more. It also discussed the concept of SDI and its role in addressing environmental challenges. The challenges and future directions of GIS in environmental planning and management are addressed, covering data quality, privacy, capacity building, and public engagement. Future prospects include AI, real-time data integration, cloud-based GIS, 3D and virtual reality, and crowdsourcing are also endorsed.
The Basic Understanding of Nano Materials
Authors: Srivastava Ruchira , Thakur Ayushi , Rana Ajay
Published: July 2024

Nano materials are with at least one dimension (length, width, or height) on the nano scale, typically ranging from 1 to 100 nanometres. At this scale, materials often exhibit unique properties due to quantum effects and increased surface area to volume ratio. These scales are necessary to solve physics and chemistry concerns from a fundamental scientific perspective. The reaction may be dominated by surface and boundary effects. In this range of length scales, many of the traditional differences between mechanics, materials science, and physics vanish, and a new way of thinking known as nano science (often ironically read as “very little science”) arises. The capacity to see and manipulate structure at small length and time scales, along with the development of computer skills that work best at small sizes, have led to the recent and explosive growth of nano science. At this tiny scale, materials often exhibit unique and enhanced properties compared to their heavy counterparts, making them valuable for diversified range of applications across fields.
The Role of Corrosion Inhibitors: Enhancing the Durability of Materials in Corrosive Environments
Authors: Rehioui Malak
Published: July 2024

Corrosion represents a major hazard to the safety and longevity of various materials, especially in industries such as oil and gas, marine and infrastructure industries. This chapter aims to investigate and analyze the main role of corrosion inhibitors in mitigating the effects of corrosion, thereby improving the durability and performance of materials. The chapter will provide a comprehensive overview of the role of corrosion inhibitors, delving into their classification and mechanisms of action and the wide range of inhibitors available and effective in different industrial contexts. Additionally, the chapter will explore the factors influencing the selection of corrosion inhibitors, considering aspects such as environmental impact, compatibility with different materials and cost-effectiveness. Furthermore, the chapter explores evaluation techniques for assessing the efficiency of corrosion inhibitors.
The Promise of Nanomaterials in Corrosion Inhibition
Authors: Daniel Sobhi
Published: July 2024

Corrosion is a natural irreversible process that affects various materials, causing structural damage or destruction and significant economic losses worldwide. Various techniques are adopted to mitigate corrosion. In this chapter, the role of nanomaterials as corrosion inhibitors is explored for a range of applications. There are various types of nanomaterials, such as metal/metal oxide nanoparticles, nanocrystal alloys, nanocoatings, and nanoallotropes of carbon. This chapter highlights the importance of using nanomaterials as corrosion inhibitors and presents research findings on the effectiveness of various types of nanomaterials as corrosion inhibitors. Also, it describes the chemical modifications of nanomaterials including functionalization, coating techniques, incorporation of nanomaterials into polymeric matrices and development of nanocomposite which optimize their anti-corrosive properties. It also demonstrates the significant potential of nanomaterials in combating corrosion and improving the durability of metal substrates.
An Empirical Study on Continued Intention to Use Financial Technology in the Banking Sector
Authors: Khandelwal Neha , Sahu Abhishek , Bhatia Asha
Published: July 2024

The purpose of this study is to determine customers' attitudes toward financial technology in the banking sector based on challenges and impacts. Therefore, the study aims to develop hypotheses that relate to the challenges and impact of financial technology on customer attitudes. The survey instrument was sent to 200 customers in the banking sector. Overall, 182 valid responses were found suitable for the study with a 91.00% response rate. Statistical analyses were conducted to ensure the reliability and validity of the questionnaire. A structural equation modeling technique has been used to test the research hypothesis using AMOS 21 software. Consumer sentiments are positively affected by financial technology's global recognition, leading to an increased desire to use these innovative financial services. The findings of this study have practical implications for both the banking sector and the broader financial technology landscape, which may provide valuable insights for policymakers, practitioners, and researchers.
A Systematic Literature Review on Strategies for Enhancing International SMEs' Performance in Malaysia and Future Research Agenda
Authors: Ambad Sylvia Nabila Azwa , Mohd Ali Mazurina
Published: July 2024

SMEs face more intimidating obstacles in international expansion than their larger counterparts. These challenges arise from resource limitations, innovation, and globalisation. Nonetheless, there exists a scarcity of SLRs targeting international business strategies for SMEs, with the majority focused on global growth challenges. This chapter aims to bridge this gap by conducting a systematic analysis of strategies for enhancing international SMEs' performance, mapping intellectual territories, and proposing future research directions. Utilising the Scopus database, 22 relevant articles were selected. Applying thematic analysis techniques, the study uncovered seven main themes that contributed to the enhancement of international SME performance in Malaysia. The main themes are; Strategic Orientation, Digital Transformation and E-Commerce, Intellectual Capital, Sustainability and Environmental Practices, Managerial Capabilities, Risk and Markert Uncertainty and Business Culture. These themes encapsulate the 19 sub-themes that contribute to SME success in the global marketplace. Despite an improving trend in SME international performance, the analysis shows a fragmented environment. This highlights the need for a complete, systematic study to help academics, SMEs, and policymakers reach the global market.
Entrepreneurial Strategies for Business Intelligence and Blockchain
Authors: Ayyaswamy Kathirvel , Kathirvel Naren , C. Subramanian , C. P. Maheswaran
Published: July 2024

Blockchain is a distributed database that is shared by multiple system nodes. The reason it is named blockchain is that it gathers data in encrypted blocks that are connected to other sets of blocks to create a virtual chain. The development of numerous cryptocurrencies, dApp monetization, smart personal contracts, decentralized finance apps (Defi), and non-fungible tokens (NFTs), preceded general adoption of the blockchain concept. Blockchain technology (BT) is digital money, which increases in value every hour by a factor of bigger than its previous worth. Even though blockchain's widespread appeal has been confined to its role in the development of bitcoin and other cryptocurrencies, a number of other applications are currently being developed steadily. This demonstrates the promise of decentralized technology and the undeniable influence of blockchain on business across many industries.
Innovation Dynamics in Family Firms
Authors: Nasution Muhammad Dharma Tuah Putra , Rizky Muhammad Chaerul , Macia Maya , Ardian Noni , Suwarno Suwarno , Ritonga Husni Muharram
Published: July 2024

This chapter explores the significance of incremental innovation in family-owned businesses, examining their engagement, the factors shaping their innovation behavior, and the practical implications for stakeholders. Content analysis delves into various facets of entrepreneurial activities within these businesses, offering insights into their innovation processes and challenges. The findings highlight the pivotal role of existing and new knowledge in driving incremental innovation. Despite challenges such as risk aversion and succession planning, family firms leverage their unique resources to maintain a competitive edge. This chapter contributes to understanding how family-owned businesses engage in incremental innovation and its implications for long-term success and sustainability. Future research could explore wealth creation dynamics and the influence of organizational culture on innovation within these firms.
Automated Wealth Management
Authors: Tyagi Mani , Khanna Kirti
Published: July 2024

This paper presents a comprehensive investigation into the transformative landscape of wealth management through the lens of robo-advisors. The evolution of automated wealth management strategies is examined, tracing the historical trajectory from inception to technological advancements. A comparative analysis of traditional wealth management practices and robo-advisor-driven approaches is conducted, assessing their efficacy, performance, and risk management capabilities. Furthermore, this research explores the market adoption rates, demographic trends, and geographical variances in the utilization of robo-advisors, shedding light on the factors influencing their widespread acceptance. Technological innovations such as artificial intelligence, machine learning algorithms, and predictive analytics are scrutinized for their pivotal This comprehensive exploration provides a foundational understanding of the evolution, impact, and implications of robo-advisors in finance, offering insights that contribute to the ongoing dialogue on the future of wealth management.
Data Management in the Digital Age
Authors: Farouk Firdous Mohd
Published: July 2024

This chapter illustrates the data management in a large financial institution in Malaysia during a major technology implementation phase. The case organisation implemented big data analytics (BDA) as a strategic move towards better decision-making through a better understanding of market needs. The case bank was, at the time of this research being conducted, actively involved in implementing BDA through various planned activities. To begin with, the implementation of BDA was a strategic decision, and it was incorporated as a four-year plan in the bank. While there were many aspects to BDA implementation in the bank, one major aspect was data itself because the way data is used in the financial institution is subject to scrutiny. BDA enables a vast amount of data to be analysed to gain actionable insights, however, the case organisation was heavily regulated. This chapter will revolve around issues in data management and data protection in the case organisation.
Compliance Challenges and Tech-Driven Solutions in Combating Financial Crime Within the Fintech Ecosystem
Authors: Shah Mushtaq Ahmad , Ganesh B. Udaya Bhaskara
Published: July 2024

The fast-growing Fintech industry has become a battleground for financial crime, posing significant challenges to regulators and business stakeholders. This chapter investigates financial crime threats and regulatory implications in the changing FinTech environment. The study looks into the awareness of financial crimes and examines the major Fintech risks that businesses face. Employing an exploratory research approach, the study examines public awareness of financial crimes through a survey questionnaire sent to the target respondents. Moreover, the recent regulatory actions against FinTech companies are examined, illustrating the growing emphasis on consumer protection and compliance. The chapter concludes by emphasising the importance of an exclusive global legislative framework for combating financial crimes in FinTech. This chapter advances understanding of financial crime risks and regulatory considerations in FinTech, providing significant insights for scholars, regulators, and FinTech enterprises.
Securing the Future Through AI, Green Finance, and Sustainable Development in the Digital Age
Authors: Khan Numan , Karim Sitara , Naz Farah
Published: July 2024

Climate change has become one of the pressing challenges in the 21st century. Ensuring and devising strategies to combat climate change is necessary and for this purpose, this study discusses the relationship between artificial intelligence, green finance, and sustainable development. Moreover, this study analyzes the role of green finance, and its connection with AI and sustainable development. Green bonds, stocks, and cryptocurrencies are analyzed with the objective of its support towards sustainable development. The study further discussed that AI has key role in sustainable development through green finance and the interplay of these factors can achieve sustainable development goals. Furthermore, the chapter sheds light on challenges in the data for green finance and sustainable development where AI stands in between which generates data through its different technologies. This chapter offers various insights and implications for policymakers and government officials to help reshape sustainable development in the long run.
Protecting Investor Sentiment by Detecting Financial Fraud With the Help of ML and AI Applications
Authors: Chaudhury Anumita
Published: July 2024

Investors, in spite of their vigilant moves, often are observed to fall victim to financial fraud. There are several machine learning algorithms both supervised and unsupervised which exists and continue to serve the objective of detecting financial fraud like under supervised machine learning random forest, k-nearest neighbours (KNN), logistic regression and support vector machine (SVM) and unsupervised machine learning includes K-means and SOM (self-organizing map).AI will help in mitigating the impact of volatility in the financial market. There is a necessity to adopt new-age machine learning and Artificial Intelligence which will promptly process millions of data and also identify dubious patterns has become very crucial to evade the losses caused by fraudulent activities.
Vertical Assimilation of Artificial Intelligence and Machine Learning in Safeguarding Financial Data
Authors: Singh Bhupinder , Kaunert Christian
Published: July 2024

The rapid evolution of technology has revolutionized the financial industry with digital banking and financial services becoming increasingly prevalent. The prevailing trend in the contemporary financial services sector centers around the transition to digital platforms, particularly mobile and online banking. In an age marked by unparalleled convenience and speed, consumers no longer prefer visiting physical bank branches for their transactions. As banks strive to introduce new features to attract and retain customers, disruptive banking technologies from startups and neo banks are emerging. The integration of artificial intelligence (AI) and machine learning (ML) in the banking sector holds the potential to transform operational processes and enhance services which leads to improved efficiency, productivity and customer experience. This chapter explores the role of AI and ML in addressing information privacy and security concerns in the arena of digital banking and financial services in digital age.
Role of Artificial Intelligence and Machine Learning Algorithms in Detecting Financial Frauds
Authors: Dar Bakir Illahi , Jaiswal Shweta
Published: July 2024

The integration of artificial intelligence (AI) and machine learning (ML) algorithms to detect fraud in financial transactions has entirely changed the field. Reconfiguration of financial product value chains necessitates the implementation of strong cybersecurity measures and advanced encryption techniques to protect sensitive financial data.. This chapter provides an insight into how AI and ML work as effective tools to deal with financial crimes, describing how they help improve fraud-detection capacities. AI and ML algorithms analyze financial data and make it possible for banks to prevent or mitigate issues such as risks. In addition, the study discusses the difficulties involved in applying AI and ML within the finance industry. Lastly, this study highlights the potential transformation that AI and ML can bring by strengthening the resilience of the financial ecosystem against evolving threats of fraud. According to this study, to effectively detect fraud, the financial and development supervisory agency must leverage more technology, particularly data analytics and AI.
Human-Machine Interaction, Artificial Emotional Intelligence, and Industry 5.0
Authors: Gupta Pramil , Sareen Puja
Published: July 2024

Such has been the pace of technological advancements that it took only 10 years for the arrival of Industry 5.0 after its predecessor and there are many organizations which are still grappling with Indsutry 4.0 and its adoption. The purpose of this chapter is to elucidate the current status of Human Machine Interaction, Artificial Emotional Intelligence & Industry 5.0 and present a balanced view of the key challenges, limitations and opportunities presented by the confluence of these hyper potential capabilities which could lead to Society 5.0 & arrival of the ultimate Humachine.
Coupling Human-Computer Interface Lensing Artificial Emotional Intelligence
Authors: Singh Bhupinder , Kaunert Christian , Malviya Rishabha
Published: July 2024

The advancement of human-computer interfaces in Industry 5.0 has been crucial in enhancing productivity and efficiency in various domains. As the industry transitions towards Industry 5.0, there is a growing demand for more advanced human-computer interfaces that incorporate artificial emotional intelligence capabilities. Artificial emotional intelligence enables computers to mimic human emotions, allowing for more intuitive and personalized interactions. The integration of artificial emotional intelligence into human-computer interfaces has the potential to revolutionize decision making in Industry 5.0. By incorporating emotional recognition and response capabilities, human-computer interfaces can become more intuitive, human-like, and collaborative. This chapter highlights the significance of artificial emotional intelligence in transforming human-computer interfaces, proposing an approach to seamless integration, and outlining potential applications in Industry 5.0. The future research focuses on addressing challenges and exploring new frontiers to further enhance the potential of artificial emotional intelligence-based human-computer interfaces.
The Emotional Touch
Authors: Agarwal Priyanka , Negandhi Sneha P. , Kumar Nitendra P.
Published: July 2024

The chapter explores the profound impact of emotional intelligence (EI) on the evolving relationship between humans and machines. It delves into how EI can improve communication, collaboration, and overall interaction between individuals and technology, leading to more productive and fulfilling outcomes. The chapter begins by elucidating the concept of emotional intelligence, emphasizing its significance in understanding and managing emotions effectively. It highlights the role of EI in human-human interactions and extrapolates its relevance to human-machine interactions, particularly in the context of Industry 5.0 and beyond. The chapter discusses the challenges and opportunities associated with integrating EI into technological systems. It acknowledges the complexities of developing machines capable of recognizing and responding to human emotions accurately. Despite these challenges, the chapter underscores the potential benefits of EI-enabled machines in various domains. The chapter explores future trends and implications of advancing EI technologies for Industry 5.0 and beyond.
Generative AI-Human Collaboration in Higher Education
Authors: Jha Babita , Devanesan Mark David , Jha Deepak , Giri Pratibha
Published: July 2024

The advent of GenAI has brought about substantial progress and prospects in diverse sectors, including education. We are witnessing significant progress in this field of artificial intelligence, with the emergence of chatbots such as ChatGPT and the proliferation of remarkably realistic AI-generated graphics. Generative AI, as an emerging technology, has the potential to bring significant and transformative improvements to education. Generative AI encourages higher education institutions to embrace and utilize the potential of these technologies to enhance several aspects such as student experience, faculty workload, intellectual property, etc. This chapter has explored the application of generative AI in the context of higher education, in light of its increasing prevalence. Although generative artificial intelligence offers a great deal of promise to improve education, the technology is not entirely devoid of difficulties. The chapter also discusses challenges and strategies related to generative AI in higher education.
Ethical and Privacy Considerations in AEI Deployment
Authors: Bhambri Pankaj , Khang Alex
Published: July 2024

With the ongoing progress of artificial emotional intelligence (AEI) and its significant impact on human-computer interactions, the authors examine the ethical and privacy aspects related to its implementation. This chapter intends to offer a thorough examination of the ethical considerations associated with the integration of AEI technologies and their influence on user experiences. The chapter explores the ethical dilemmas presented by AEI, specifically focusing on concerns such as algorithmic prejudice, openness, and responsibility. This analysis thoroughly assesses the possible hazards and unforeseen outcomes of utilizing emotionally intelligent systems, with a focus on the importance of responsible development and deployment procedures. In addition, the chapter examines the complex correlation between AEI and user privacy. The investigation examines the intrinsic data collecting and processing mechanisms in AEI systems, closely analyzing the implications for user privacy and autonomy.
Mobile Health
Authors: Das Sima , Kumari Kirti , Sahu Rabindranath
Published: July 2024

Diabetes and heart disease are common chronic diseases, and a lot of people are suffering from them. Diabetes is caused by insulin secretion disorder. Sometimes it causes death in some complications of heart patients. The current chapter is intended to track diabetes and heart patient conditions, monitoring, and classification. The chapter is designed to predict the two mentioned diseases by diagnosing the patient's previous medical history. An electrocardiogram sensor is used to collect data for heart disease and a continuous glucose monitoring sensor is used to collect data for diabetes disease. A band pass filter in the range between 5-15 Hz is used to filter data, artifact removal is done by stationary wavelet transform, independent component analysis is used for feature extraction.
Deep Learning Advancements in Malaria Diagnosis
Authors: Kumar Saravana , R. Saraswathi Meena , S. Hirthick , B. Surya Devi
Published: July 2024

The authors introduce a robust convolutional neural network (CNN) model for malaria-infected cell identification, achieving over 96.5% test accuracy using PyTorch and GPU acceleration. Data augmentation ensures dataset suitability, while this MosquitoNet CNN architecture effectively extracts hierarchical features through three convolutional and fully linked layers. Training over 20 epochs with cross-entropy loss and Adam optimizer yields high accuracy on independent testing subsets, supported by detailed class-wise metrics and a confusion matrix visualization. This approach integrates deep learning, data augmentation, and advanced visualization for comprehensive malaria detection, promising significant advancements in medical diagnostics. Future work may explore hyperparameter tuning and transfer learning for further enhancement. This research contributes to the field with its robust methodology and high accuracy, offering a promising tool for malaria diagnosis and beyond.
Digital Learning and the Teaching-Learning Environment in the Post-Pandemic 21st Century
Authors: Adeoye Blessing Foluso , Oni Adesoji A.
Published: July 2024

The post-pandemic 21st century has witnessed a significant transformation in the teaching-learning environment due to the widespread adoption of digital learning. The COVID-19 pandemic accelerated the adoption of digital learning, transforming education globally. It led to increased reliance on online platforms, highlighting the importance of technology in education. While it provided flexibility, challenges like the digital divide and the potential loss of hands-on experiences emerged. This chapter explores the themes and gaps in the research to understand the scholarly conversation around digital learning. It also examines previous studies about digital learning published mainly in peer-reviewed journals. This chapter is a literature review with both methodological and theoretical approaches. These findings enabled us to discuss, compare, and contrast other theories, models, and definitions of key concepts. The chapter also covers the impact of digital learning on education, emphasizing its role in fostering flexibility, accessibility, and collaborative approaches.
Linking Social Support, Self-Support, and Emotional Regulation of Students Learning Online at Home During the COVID-19 Pandemic
Authors: Md Nawi Nurul Hudani , Ibrahim Habibie , Perdani Sawai Joki , Tuan Abdullah Tuan Norbalkish , Mohd Suki Norazah
Published: July 2024

This study investigates the linkages of social support and self-support on the emotional regulation of students learning online at home during the COVID-19 pandemic. Data collected from 300 public higher-education students were analysed using partial least squares-structural equation modelling (PLS-SEM) via SmartPLS3.0. The results revealed that the emotional regulation of students learning online at home during the COVID-19 pandemic was heavily influenced by self-support, followed by social support. During the COVID-19 pandemic, online learning was perceived as a novel experience, with individuals who were open and flexible being able to access and utilize various creative ideas. This empirical study can serve as a basis for developing a comprehensive action plan to improve training methods and strengthen existing support systems. These efforts are crucial for the successful implementation of educational activities for future generations.
Concept of Instructional Coaching for Professional Teacher Development in Post-Pandemic Epoch
Authors: Makinde Semiu Olawale , Ganiyu Rasidat Sade
Published: July 2024

This chapter explores the essential concept of instructional coaching as a dynamic approach to enhance student learning outcomes by promoting teacher competence and efficiency in the classroom. The investigation provides a thorough understanding of instructional coaching, covering its nature, various modes and approaches. Additionally, the chapter highlights key skills associated with instructional coaches in the distinct context of the post-pandemic era. By examining historical perspectives, it traces the evolution of instructional coaching, offering insights into its development over time. Moreover, the chapter critically assesses the impact of instructional coaching during the pandemic and underscores its enduring relevance in the post-pandemic period. In addressing challenges and opportunities in instructional coaching for professional teacher development, the chapter particularly focuses on lessons gleaned from the pandemic experiences. This comprehensive analysis contributes to the ongoing discourse about technology-infused education in the post-pandemic era.
Epilepsy in older adults
Authors: Gooneratne I. K.
Published: July 2024

Epilepsy, a chronic neurological disorder characterized by recurrent seizures, is not limited to any specific age group. While often associated with children and younger adults, epilepsy also presents unique challenges in older adults. This review aims to explore the epidemiology, aetiology, clinical presentation, diagnosis, and management of epilepsy in older adults. The review discusses the complexities of diagnosing epilepsy in this population, considering comorbidities, medication interactions, and age-related changes in the central nervous system. Furthermore, the importance of a multidisciplinary approach to the management of epilepsy in older adults, encompassing pharmacological interventions, lifestyle modifications, and psychosocial support is highlighted. By understanding the specific needs and challenges faced by older adults with epilepsy, healthcare professionals can optimize their care and improve their quality of life.
Supplementary file; ICHD 3 diagnostic criteria for Migraine
Authors: Co-Editors
Published: July 2024

No abstract available
Position paper on essential strategies for healthy aging: focus on preventing sarcopenia and cardiovascular diseases from the 38th National Congress of the Italian Society of Geriatrics Hospital and Territory (SIGOT)
Authors: Boccardi Virginia , Vetta Francesco , Cipriani Luca , Fabbo Andrea , Cella Alberto , Ceci Moira , Azzini Margherita , Bauco Claudia , Benati Giuseppe , Castagna Alberto , Lunardelli Maria Lia , Mecocci Patrizia , Passamonte Michela , Romano Marcello , Tardi Salvatore , Mazza Liliana , Ottomanelli Gianluca , Secreto Piero , Solfrizzi Vincenzo , Vargas Nicola , Fimognari Filippo Luca , Palleschi Lorenzo
Published: July 2024

Italy’s demographic setting is rapidly evolving and is characterized by a substantial increase in the older population segment. This trend, driven by prolonged life expectancy and declining birth rates, positions Italy as a leader in global aging patterns. The 38th National Congress of the Società Italiana di Geriatria Ospedale e Territorio (SIGOT), held in Rome, underlined the importance of addressing the health needs of this aging population, particularly focusing on preventing sarcopenia and cardiovascular diseases. Recent data challenge the notion of functional decline as an inevitable consequence of aging, highlighting the interplay of genetic, environmental, and lifestyle factors in modulating health outcomes. Sarcopenia, a prevalent condition and biological substrate of frailty, significantly impacts physical function and mortality rates, necessitating behavioral interventions to mitigate its effects. Physical exercise emerges as a key strategy for maintaining cardiovascular health and reducing the risk of arrhythmias, prevalent in older age groups. However, the complex relationship between physical activity intensity, age, and cardiovascular risk underlines the importance of tailored interventions and preliminary screenings. Looking ahead, proactive measures such as enhanced screening, promoting lifelong healthy habits, research and innovation, robust community support systems, and adaptable policies are essential to address the multifaceted challenges posed by an aging population. With this consensus paper, we aimed to summarize the key messages from the three intensive days of the SIGOT National Congress.
Social Determinants of Health and Cardiovascular Risk among Adults with Diabetes: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study
Authors: Zhang Lisa , Reshetnyak Evgeniya , Ringel Joanna B. , Pinheiro Laura C. , Carson April , Cummings Doyle M. , Durant Raegan W. , Malla Gargya , Safford Monika M.
Published: July 2024

Background: Social determinants of health (SDOH) have been associated with diabetes risk; however, their association with cardiovascular disease (CVD) events in individuals with diabetes is poorly described. We hypothesized that a greater number of SDOH among individuals with diabetes would be associated with a higher risk of CVD events.Methods: The REasons for Geographic and Racial Differences in Stroke (REGARDS) study is a national, biracial cohort of 30,239 individuals ≥45 years old recruited in 2003–2007. We included 6,322 participants with diabetes at baseline, defined as healthcare professional diagnosis, diabetes medication use, or blood glucose values. Seven SDOH that were individually associated with CVD events were included (P<0.20). The outcome was CVD events, a composite of expert-adjudicated myocardial infarction, stroke, or cardiovascular death. We estimated Cox proportional hazard models to examine associations between number of SDOH (0, 1, 2, ≥3) and CVD events.Results: In an age and sex adjusted model, the presence of multiple SDOH significantly increased the risk of any CVD event (hazard ratio [HR], 1.48; 95% confidence interval [CI], 1.26 to 1.74 for two SDOH; HR, 1.68; 95% CI, 1.43 to 1.96 for ≥3 SDOH). This finding was attenuated but remained statistically significant in a fully adjusted model (HR, 1.19; 95% CI, 1.01 to 1.40 for two SDOH; HR, 1.27; 95% CI, 1.07 to 1.50 for ≥3 SDOH).Conclusion: Having multiple SDOH was independently associated with an increased risk of CVD events, a finding driven by cardiovascular death. Identifying individuals with diabetes who have multiple SDOH may be helpful for detecting those at higher risk of experiencing or dying from CVD events.
Physical Abuse in Children (Non-Accidental Injury Syndrome) Part 1: The clinical examination
Authors: Saayman Gert
Published: July 2024

No abstract available.
Chaperone use in medical practice
Authors: Howarth Graham R.
Published: July 2024

It maybe speculated that having a chaperone present during the intimate clinical examination was originally instituted to protect woman from inappropriate advances by the doctor. In the current medico legal climate the rationale has probably been reversed, and the presence of a chaperone is felt to minimise the risk of the patient accusing the doctor of taking unnecessary liberties. Medical indemnity organizations consider presence of a chaperone helpful in the defense of a doctor against an allegation of sexual misconduct during an intimate examination. They do, however, realise that presence of a third party does not necessarily protect either the patient or the doctor and maybe counterproductive in some situations.
Comparison of Postexercise Ankle Brachial Index in at Risk versus Diagnosed Peripheral Arterial Disease Population
Authors: Dekate Akanksha , Sahasrabudhe Prajakta
Published: July 2024

Background:

Peripheral arterial disease (PAD) is characterized by stenosis or occlusion in the arteries of the limb causing limitation in the distal blood flow. Out of the various risk factors identified, diabetes and cigarette smoking are the strongest predictors of PAD. PAD results from atherosclerosis of the vessel wall. Patients with lower extremity PAD have clinical presentation of intermittent claudication and atypical leg pain. In patients with arterial stenosis, there is a drop in pressure and flow across stenosis. Asymptomatic PAD approximately 20%–50% of total patients diagnosed with PAD. Ankle brachial index (ABI) is clinically widely used modality which helps to identify the disease. ABI test is the ratio of systolic ankle blood pressure and highest systolic brachial blood pressure. Population at risk with normal resting ABI may still have PAD. For such population, postexercise ABI is recommended. This study evaluated and compared ABI postexercise in normal healthy individuals without risk of PAD, at risk of PAD.

Materials and Methods:

This study is an observational study. Population with age more than 35 years were selected. Framingham Risk Score was taken for normal and at-risk population. Subjects were recruited in three groups: A, B, and C. ABI at rest was assessed. Individuals performed exercise treadmill test. Immediately, after completing the exercise, postexercise ABI was taken. Absolute systolic blood pressure values and postexercise ABI values were obtained in all three groups and then were compared. Data were analyzed using the SPSS software version 26.

Results:

The results of this study showed that for all the three groups, there was a significant difference in ABI at rest, postexercise ABI, and difference in systolic ankle pressure as P value was <0.001. When the Chi-squared test was done for postexercise ABI and postsystolic ankle pressure in between Group B and Group C, there was no significant difference found as the P value was >0.05.

Conclusion:

On comparison with at risk and normal individuals, no significant difference was found in terms of postexercise ABI and change in systolic ankle pressure.
Stimulatory Effects of Phyllanthus amarus Extract on the Growth Performance, Hematobiochemical Activity, Antioxidative Status and Immune Response of Clarias gariepinus
Authors: Adeniyi Olarinke Victoria , Alade Adijat Omowunmi , Tijani Gafar Hammed
Published: July 2024

This study investigated the antibacterial activity of Phyllanthus amarus extracts and its influence on the performance of Clarias gariepinus fingerlings. The fish were fed diets containing 0.0, 0.5, 1.0, 1.5 or 2.0 g P. amarus methanol extract (PAE) / kg basal diet for 84 days. Thereafter, blood samples were collected for hematological and biochemical analyses. At the end of the 84-day feeding trial, fish were challenged with Aeromonas hydrophila, after which immune response parameters were measured. The data obtained were analyzed using one-way analysis of variance at p<0.05. The results showed significant antibacterial activity of PAE against A. hydrophila, and its application at 0.5-1.5 g significantly promoted growth performance, with the highest at 1.0 g. Hematocrit, hemoglobin and lymphocytes were enhanced at 0.5-1.5 g PAE. All the fishes fed PAE-supplemented diets had lower concentrations of serum liver enzymes; while the values of creatinine, glucose and total bilirubin did not differ among the treatments. Glutathione peroxidase, glutathione‐S‐transferase, lysozyme, phagocytic and respiratory burst activities increased in all PAE-fortified treatments, with highest fish survival in 1.0 g PAE treatment. Therefore, the inclusion of 1.0 g Phyllanthus amarus extract is recommended as a dietary supplement for Clarias gariepinus.
Biodiversity and Parasitological Characteristics of Myxozoa (Cnidaria) Infecting European Seabass, Dicentrarchus labrax (Linnaeus, 1758) In the Aegean Sea Coasts of Türkiye
Authors: Odabaş-Alver Duygu , Ertürk Ömer , Gürkanlı Cem Tolga
Published: July 2024

In this study, diversity and parasitological features of Myxozoan parasites infecting Dicentrarchus labrax (Linnaeus, 1758) grown in sea cages located in the coasts of İzmir and Muğla districts of Türkiye were investigated. For this aim, a total of 240 host specimens were examined and 147 of them (61.25%) determined to be infected by Myxozoan parasites. Based on the morphology of the myxospores examined, the presence of one species belonging to the genus Kudoa Meglitsch, 1947 and two different species within the genus Ceratomyxa Thélohan, 1892 were determined. Depending on phylogenetic relationships obtained from 18S rDNA nucleotide sequence data, Kudoa specimens were assigned to K. dicentrarchi Sitjà-Bobadilla & Álvarez-Pellitero, 1992 and Ceratomyxa species were assigned to C. diplodae Lubat, Radujkovic, Marques & Bouix, 1989 and C. labracis Sitjà-Bobadilla & Álvarez-Pellitero, 1993.
The K. dicentrarchi specimens were found in the gallbladder and gonads of the European seabass with 38.75% prevalence of infection. Ceratomyxa diplodae and C. labracis were only found in the bile with 37.92% and 2.5% prevalence of infections, respectively.

This study presents the first record of C. diplodae and C. labracis in D. labrax from the Turkish marine environment. Moreover, this research contributes the initial molecular record for K. dicentrarchi identified in D. labrax from the Turkish coastline.
Effect of Anchoring Vignettes on Reliability and Validity as a Measure of Motivation and Emotion in Mathematics
Authors: Otgonbaatar Khajidmaa Otgonbaatar
Published: July 2024

In mathematics, the importance of emotion and motivation has long been appreciated. Meanwhile, the measurement of these constructs needs to be carefully developed. Indeed, many previous studies employed questionnaires and self-rating to investigate emotion and motivation in mathematics. However, researchers stressed that self-rating and questionnaires are vulnerable to different biases, such as cultural bias, social desirability bias, and individual reporting behavior, which could influence the reliability and validity of the responses. The present study employed an anchoring vignette approach and self-rating to measure emotion and motivation to examine its effect on reliability and validity. The study sample consisted of 308 Grade 8 students from urban, suburban, and rural schools in Mongolia. The students were administered two vignette sets and their respective self-rating items in 45 minutes. The study found that the anchoring vignette approach increased two types of reliability coefficients, including composite reliability and Cronbach's α, and two types of validity, such as convergent and discriminant validity. In sum, the results of the present study concluded that the anchoring vignette approach has the potential to improve the reliability and validity of tools to measure emotion and motivation in mathematics.
A Conceptualization of True Liberator Pedagogy: Foundations of a Transformative Educational Approach
Authors: Takona James Parseen
Published: July 2024

The integration of True Liberator Pedagogy (TLP) to blending of critical pedagogy, Design Thinking (DT), and transformative learning theories offer a strategy to tackle the changing demands of contemporary education. This educational approach is influenced by Freire, Vygotsky, Dewey, and other modern educational theorists, advocating for a move away from traditional teaching methods towards 'action-oriented learning' as a different approach to traditional didactic methods. TLP focuses on fostering critical awareness, compassion, and interactive learning to transform education beyond academic pursuits, aiming for societal empowerment and creativity. This approach boosts academic achievement and promotes the growth of socially conscious, compassionate, and creative individuals. TLP's approach to curriculum design promotes active engagement, practical implementation, and deep contemplation, in accordance with the needs of a world that is increasingly integrated and interconnected. The practical application of TLP is discussed, suggesting that it has the potential to revolutionize education and promote a fairer society.