bluuebunny/crossref_metadata_2025 huggingface dataset:
Existence of solutions for Kirchhoff-double phase anisotropic variational problems with variable exponents
Authors: Ma Wei , Zhang Qiongfen
Published: August 2024

This paper is devoted to dealing with a kind of new Kirchhoff-type problem in $ \mathbb{R}^N $ that involves a general double-phase variable exponent elliptic operator $ \mathit{\boldsymbol{\phi}} $. Specifically, the operator $ \mathit{\boldsymbol{\phi}} $ has behaviors like $ |\tau|^{q(x)-2}\tau $ if $ |\tau| $ is small and like $ |\tau|^{p(x)-2}\tau $ if $ |\tau| $ is large, where $ 1 < p(x) < q(x) < N $. By applying some new analytical tricks, we first establish existence results of solutions for this kind of Kirchhoff-double-phase problem based on variational methods and critical point theory. In particular, we also replace the classical Ambrosetti–Rabinowitz type condition with four different superlinear conditions and weaken some of the assumptions in the previous related works. Our results generalize and improve the ones in [Q. H. Zhang, V. D. Rădulescu, J. Math. Pures Appl., 118 (2018), 159–203.] and other related results in the literature.
Investigation of soliton solutions to the truncated M-fractional (3+1)-dimensional Gross-Pitaevskii equation with periodic potential
Authors: Qawaqneh Haitham , Altalbe Ali , Bekir Ahmet , Tariq Kalim U.
Published: August 2024

This research explores some modernistic soliton solutions to the (3+1)-dimensional periodic potential the Gross–Pitaevskii equation with a truncated M-fractional derivative plays a significant role in Bose–Einstein condensation, which describes the dynamics of the condensate wave function. The obtained results include trigonometric, hyperbolic trigonometric and exponential function solutions. Three techniques named: the $ \exp_a $ function method, the Sardar sub-equation method, and the extended $ (G'/G) $-expansion approach are employed to achieve a variety of new solutions for the governing model. More comprehensive information about the dynamical representation of some of the solutions is being presented by visualizing the 2D, 3D and contour plots. This work reveals a number of new types of traveling-wave solutions, such as the double periodic singular, the periodic singular, the dark singular, the dark kink singular, the periodic solitary singular, and the singular soliton solutions. These novel solutions are not the same as those that were previously studied for this governing equation. The presented techniques demonstrate clarity, efficacy, and simplicity, revealing their relevance to diverse sets of dynamic and static nonlinear equations pertaining to evolutionary events in computational physics, in addition to other real-world applications and a wide range of study fields for addressing a variety of other nonlinear fractional models that hold significance in the fields of applied science and engineering.
BMO estimates for commutators of the rough fractional Hausdorff operator on grand-variable-Herz-Morrey spaces
Authors: Younas Javeria , Hussain Amjad , Alhazmi Hadil , Aljohani A. F. , Khan Ilyas
Published: August 2024

In this paper, we study the boundedness of the commutator of the rough fractional Hausdorff operator on grand-variable-Herz-Morrey spaces when the symbol functions belong to bounded mean oscillations (BMO) space.
Dynamics and stability analysis of nonlinear DNA molecules: Insights from the Peyrard-Bishop model
Authors: Khater Mostafa M. A. , Zakarya Mohammed , Nisar Kottakkaran Sooppy , Abdel-Aty Abdel-Haleem
Published: August 2024

This study explores the nonlinear Peyrard-Bishop DNA dynamic model, a nonlinear evolution equation that describes the behavior of DNA molecules by considering hydrogen bonds between base pairs and stacking interactions between adjacent base pairs. The primary objective is to derive analytical solutions to this model using the Khater Ⅲ and improved Kudryashov methods. Subsequently, the stability of these solutions is analyzed through Hamiltonian system characterization. The Peyrard-Bishop model is pivotal in biophysics, offering insights into the dynamics of DNA molecules and their responses to external forces. By employing these analytical techniques and stability analysis, this research aims to enhance the understanding of DNA dynamics and its implications in fields such as drug design, gene therapy, and molecular biology. The novelty of this work lies in the application of the Khater Ⅲ and an enhanced Kudryashov methods to the Peyrard-Bishop model, along with a comprehensive stability investigation using Hamiltonian system characterization, providing new perspectives on DNA molecule dynamics within the scope of nonlinear dynamics and biophysics.
The Assessment of a Gradeless Residency Model for Software Engineering Education
Authors: Amer Adan , Sidhu Gaganpreet , Srinivasan Seshasai
Published: August 2024

The traditional practice of assessing academic performance through conventional letter and numerical grades has faced criticism for its limitations in promoting active engagement and curiosity among students. In response, the concept of gradeless education has gained traction, with the aim of fostering a more holistic learning experience. This work explores the implementation of the residency model, a form of gradeless education, in the context of engineering education. The model focuses on skill acquisition and competency demonstration while enhancing student wellness by minimizing assessment-related anxiety that students often face in graded assessments. This study evaluates the effectiveness of the residency model through a comprehensive survey conducted in a software engineering technology program at McMaster University. The survey investigates student perspectives on the model’s impact on motivation, learning experience, and attitudes towards learning. The results reveal a complex interplay of attitudes, with students acknowledging the importance of grades while appreciating the model’s rigorous assignments. The findings suggest that the residency model can encourage transformative learning experiences while warranting ongoing attention to optimize both learning outcomes and student well-being. Further research is recommended to assess the long-term impact and effectiveness of gradeless education models, emphasizing both their benefits and challenges.
Assessment and Level Modelling in Fundamentals of Electrical Engineering
Authors: Klein Alison , Müller Jens , Link Nico , Schaffer Rainer
Published: August 2024

This paper focuses on the module “Fundamentals of Electrical Engineering,” in which students from different engineering disciplines often face difficulties. Despite efforts to enhance the course through digital media, the formation of study groups, and adjusted lecture and exercise materials, there is still a high failure rate in the subject, leading to potential student dropouts. The primary goal is to analyze students’ challenges in solving electrical engineering problems to evaluate their grasp of the fundamentals of electrical engineering and identify varying levels of competence. The findings are based on a cross-sectional study conducted at the conclusion of a university course in Germany, involving 196 students. Through item response theory (IRT) analyses, it was determined that the assessment items demonstrated satisfactory fit values. The proficiency model delineates four levels, with only 8.2% of students achieving the highest level. At this stage, students can tackle more intricate problems using circuit analysis techniques. However, a notable portion of students (40.3%) lack a basic understanding of electrical circuits, placing them at the lowest level.
Práticas de controle de gestão e sua influência na capacidade de inovação em startups no Rio Grande do Sul: Um estudo de caso múltiplo
Authors: Garcia Júlia Fonseca , Carraro Wendy Beatriz Witt Haddad , Dimon Eyitayo Gérald Yannick
Published: August 2024

Este estudo tem por objetivo analisar a influência das práticas de controle de gestão na capacidade de inovação de startups no Rio Grande do Sul. Para tanto, propõe-se: identificar as práticas de controle de gestão utilizadas pelos empreendedores e identificar a influência das práticas de controle de gestão na capacidade de inovação das startups do Rio Grande do Sul. Para isso, foi realizado um estudo de abordagem qualitativa, objetivos de forma descritiva, procedimentos de coleta através de um estudo de caso em 3 startups: Empresa A, B e C, por uma triangulação de dados obtidos em entrevistas, aplicação de questionários e coleta de informações nas páginas da internet. A seleção das empresas se deu através de amostragem por julgamento, buscou-se pequenas empresas consideradas inovadoras do setor de serviços, com faturamento acima do esperado, faturamento desejado e sem faturamento, para representação em diferentes situações. Os resultados demonstraram as práticas utilizadas por cada empresa, após, foi identificado a influência das práticas utilizadas na capacidade de inovação baseado na triangulação dos dados obtidos. Sob um aspecto geral, a Empresa B demonstrou uma maior preocupação nas diferentes categorias para controle gerencial, assim como na demonstração da capacidade de inovação diante das afirmativas aplicadas em questionário, apesar de não ter faturamento. Do mesmo modo, a Empresa C demonstrou o menor nível de importância às categorias e também menor capacidade de inovação apesar de ser uma empresa com faturamento satisfatório.
Emendas parlamentares individuais e a equidade na política pública de saúde
Authors: Silvana Aparecida Medina  , Marques Ferreira Marco Aurélio , Medeiros Roque Ferreira Daiane , Américo dos Santos Igor
Published: August 2024

Em um período de recursos marcados pela solução de Emendas Parlamentares Individuais (EPI) contribui com o aporte financeiro para ações e serviços públicos de saúde (ASPS). Diante disso, este artigo tem como objetivo analisar se o processo de alocação das Emendas Parlamentares Individuais à Saúde (EPIS) visa reduzir as iniquidades na saúde. Para tanto, a partir de aspectos epidemiológicos e socioeconômicos, foi construído o Índice de Condição de Saúde (ICS) do período anterior e posterior à implementação da impositividade das EPI. Em seguida, transmitido- a existente entre o EPIS. Os resultados indicam aumento de recursos à saúde via EPI em municípios anteriormente desassistidos, bem como o aumento dos valores per capitaRecebidos. Evidenciou-se também, que a maioria dos municípios brasileiros recebeu EPIS proporcionais à sua necessidade em saúde, indicando que as emendas podem estar minimizando as disparidades existentes na saúde, destarte, ainda persistem como nas alocadas das EPIS, uma vez que, existem municípios que recebeu os recursos além de muito ou aquém de suas necessidades.
Universal Design for Learning Across Schools in the Global Context
Authors: Fovet Frederic
Published: August 2024

This chapter serves as an introduction to the volume. It sets out key information about Universal Design for Learning (UDL) in order to support the reader as they navigate the various narratives of field practitioners and implementers who analyze their journey with UDL in the K-12 sector. The chapter also examines the current landscape in relation to UDL implementation and offers some broad ecological observations as regards the contemporary state of play. It broadens the discussion to the global scale and discusses geo-political divergences that will support the international reader as they connect the material to their own regional context. The chapter highlights certain themes that appear as either facilitators or stressors in teachers' journeys with UDL, themes that will be echoed by the various chapters, and analyzes in more depth within them.
Aligning Teacher Competencies and Professional Standards to the UDL Framework Across Two Initial Teacher Training Contexts on the Island of Ireland
Authors: Galvin Tracy , Buckley Karen , Roberts Jennifer
Published: August 2024

Teacher training programs take many forms and vary in duration if it is an undergraduate or postgraduate option. In addition, there is variation in terms of the cost involved and the placement opportunities within a school setting and type. There is also an increase in the debate around inclusion globally, which has long been included as a core part of the lexicon of educational establishments and policymakers. A more intentional UDL approach is discussed to a lesser degree, which does not divert away from a strategy of inclusion, but more intentionally provides a shared language across providers. In this chapter, the potential of UDL in initial teacher education is explored across the island of Ireland, which consists of both the Republic of Ireland and Northern Ireland, by mapping the UDL to both professional standards and teacher competency frameworks. It highlights how pre-service teacher training providers can embed UDL into their programs and practice and support student teachers in an ever-changing learning environment.
Elderly
Authors: Hamza  , Akhouri Deoshree , Bashir Tabassum
Published: August 2024

The chapter focuses on assessing the severity, risk factors, and challenges associated with mental disorders among the elderly in this modern era. Mental disorders and associated challenges are not limited, but in this special population such as children, pregnant women, and the elderly, these disorders become more pathetic and life-challenging even in managing their day-to-day routines and activities. A significant portion of society is suffering from any kind of mental disorder, among them dementia, anxiety, depression, insomnia, and PTSD are the most common. The incident rate is getting higher and affecting every sector of society. Numerous risk factors are associated with mental disorders in the elderly, among them, few are the most common such as socio-demographic profile, economic condition, psychological and physical condition. Recently it was seen that COVID-19 also had a huge impact on people with already existing psychiatric disorders.
Elderly Multimorbidity Management at Different Levels
Authors: Alharthi Adil Hamad , Hafiz Ashfaq
Published: August 2024

Preventing multimorbidity in low-income and rural communities requires a multifaceted approach that addresses the underlying social determinants of health, improves access to healthcare, and empowers individuals to take control of their health. Evidence from various countries demonstrates the effectiveness of health education, community-based interventions, policy changes, and integrated care models in reducing the burden of multimorbidity. General internists and family physicians can play a crucial role in implementing these strategies and advocating for policies that support the health of vulnerable populations.
Authentic Assessment in Higher Education
Authors: Gono Sinfree
Published: August 2024

A call for further research on authentic assessment in higher education has gained pace demanding learners have critical thinking, complex problem solving, creativity, and innovation skills. Yet the mechanisms of assessing learners to shape and harness these critical skills and desired pedagogical outcomes remain contested and under-theorised. Premised on being practical in application, offering opportunities for work, fostering best practices, and reducing risk of contract cheating, the adoption of authentic assessments is inevitable. Authentic assessments enable students to tackle real-world issues. By drawing from fine-grained research and contextualised understanding of authentic assessments, this study hopes to provide building blocks helpful in developing key considerations for institutions to use. The aim of this study is to contribute to existing research repertoire on the subject that seems to be at the intersection of pedagogy and the demands of the workplace.
Role of Authentic Assessment in Management Education
Authors: Majumdar Amrita , Majumdar Sudipta
Published: August 2024

Education 5.0 is an era of transformation in terms of content, knowledge, and delivery. Authentic assessment plays a pivotal role in understanding and assessing the students' learning level in their domains. In the field of management education, there is a growing need to assess students' capability to handle real-life situations, and for these there are many authentic assessment tools that are being used. The Covid 19 pandemic has raised the need for this authentic assessment in every aspect. It is an era of student-centric learning where there is a constant need of innovation by the educators by different means. This also helps the educators to keep a close eye on the learning level of the students.
Authentic Assessment
Authors: Kramer Astrid , Stienstra Miranda , Hsiao Ya-Ping
Published: August 2024

This chapter describes how the course ‘Strategy in Practice' in the bachelor business administration at the Tilburg University in the Netherlands fosters deep learning and limits academic misconduct through promoting student engagement and authentic assessment. The chapter demonstrates the course's effectiveness in limiting students misuse of artificial intelligence by utilizing frameworks for student engagement and authentic assessment. The course design allows flexibility in time and location for students to work on their assignment, alongside structured deadlines and obligatory interactions. Therefore, students experience a balanced mix of freedom and obligation which leads to enhanced behavioral, emotional, cognitive, and agentic engagement. The authentic assessment is rooted in real-world business analysis and comprehensive feedback mechanisms to ensure a genuine learning experience that encourages students to apply theory to practice.
Green Organizational Culture and Sustainable Development
Authors: Arise Omolola Ayobamidele , Muzuva Meshel
Published: August 2024

As society grapples with environmental challenges, businesses are increasingly compelled to align their operations with principles of sustainability. One pivotal mechanism for fostering sustainable development is the cultivation of a green organizational culture; an organizational tenet that embeds environmental responsibility within its values, norms, and behaviours. This chapter investigates the transformative role of Green Organizational Culture (GOC) within businesses in advancing Sustainable Development (SD), highlighting the imperative shift from profit-centric motives towards fostering ecological balance and social equity. Employing a qualitative synthesis of existing literature, this chapter navigates through the theoretical frameworks that underpin GOC, highlighting its significance in driving environmentally responsible behaviours within businesses. By examining case studies and scholarly works, the chapter identifies and analyzes the core components and characteristics of GOC, the strategic implementation strategies for fostering such a culture, and its profound impact on SD. The chapter systematically outlines how a commitment to environmental responsibility at all organizational levels can be achieved through aligning with external institutional norms and effectively managing internal processes for change. It provides strategic recommendations for embedding a green culture within organizational practices, thereby contributing to sustainable development goals. It concludes with strategic insights for organizations seeking to navigate the complexities of environmental sustainability, emphasizing the long-term benefits of such endeavours for ensuring corporate success and legitimacy in a globally conscious marketplace.
Navigating Uncharted Waters
Authors: Babu C. V. Suresh , S. Sathiya Narayana
Published: August 2024

This chapter aims to explore the unmet challenges and potential strategies in the integration of machine learning (ML) and deep learning (DL) for risk prediction of major clinical events within the context of clinical practice. The integration of artificial intelligence (AI) in healthcare systems holds immense promise for enhancing patient care, but several challenges impede its seamless adoption. This chapter will specifically identify and analyze challenges within clinical practice that hinder the effective implementation of AI-enhanced healthcare systems. By examining the nature, scope, and impact of these challenges, the authors seek to provide insights into optimizing the benefits of AI applications in clinical settings.
Understanding Customer Perception of Cyber Attacks
Authors: Ebuzor Jean
Published: August 2024

In this chapter, malware, phishing, denial of service, and social engineering tactics are explored as examples of cyber-attacks. It examines their effects on customers, including financial losses, identity theft, privacy violations, and reputational harm. Factors influencing customer perception, such as media coverage and individual experiences, are thematically reported alongside trust in organisations and implemented security measures. The chapter emphasises the importance of customer trust and confidence, highlighting communication, proactive security measures, and education. It also discusses how customers respond to cyber-attacks, such as reporting occurrences, changing their behaviour, and seeking professional help. Strategies for reducing client perceptions of cyber-attacks are also considered, like awareness campaigns within aviation, tourism, and hospitality sectors.
System Condition Monitoring and Cybersecurity
Authors: Patil Prasad
Published: August 2024

Cybersecurity landscape is changing drastically for both the good and the bad. While we are talking about modern technology like incorporation of AI and ML to prevent, detect and respond to modern day threats, attackers are one step ahead. With the dependency of digital ecosystem evolving rapidly in the travel, tourism and hospitality industry, monitoring systems and digital ecosystem becomes primarily important to reduce noise and improve insights. Modern and proactive monitoring of these systems will empower organizations in the industry to prevent disruptions. In this chapter, we will discuss about the need, strategy, and outcomes we expect from an effective and efficient modern day system security Monitoring in Aviation, Tourism and Hospitality (ATH) industry.
India's Cybersecurity Journey
Authors: Bhardwaj Akashdeep
Published: August 2024

India's security threat landscape is rapidly evolving, with new and diverse security challenges emerging. The country faces threats from terrorism, both domestic and transnational, as well as from cyber-attacks, border tensions, and separatist movements. The threat of extremism, both religious and ideological, is also a growing concern. Additionally, natural disasters and pandemics have the potential to disrupt security and destabilize the region. India must work to enhance its intelligence-gathering capabilities, improve inter-agency coordination, and strengthen its counterterrorism and cybersecurity infrastructure to effectively address these emerging security threats. This chapter presents the existing security threat landscape for India.
Fourth Industrial Revolution and the Role of Cyber Security
Authors: Dhande Kunal Ramesh
Published: August 2024

The Fourth Industrial Revolution is reshaping travel and tourism with IoT, AI, and biometrics, enriching tourist experiences through enhanced vehicle technologies. However, heightened vehicle connectivity poses cybersecurity risks, endangering traveler safety and privacy. Effective cybersecurity strategies are essential to secure vehicle systems and sensitive data, ensuring a trustworthy tourism environment. Protection focuses on digital assets, personal information, and critical infrastructure like booking platforms and transport services. As cars integrate advanced infotainment, safeguarding navigation and communication data becomes crucial against evolving cyber threats. Reports highlight vulnerabilities in keyless entry systems, contrasting theft rates between vulnerable models and secure alternatives like Tesla, emphasizing encryption and biometric security measures. Enhanced cybersecurity practices, including updates, authentication, and compliance, are pivotal for mitigating risks in rental and connected vehicles, safeguarding against emerging threats in the automotive sector.
Harnessing AI for Enhanced Cybersecurity
Authors: Patil Pratik , Thealla Pavan , Bonde Bhushan
Published: August 2024

In the era of Artificial Intelligence (AI), it is crucial to understand the impact of AI on cybersecurity. This chapter introduces data-driven security, data analysis and AI to predict, identify, and neutralize security threats, with introduction to AI, Machine Learning (ML) and cyber security and current trends in AI/ML applications for cybersecurity. Furthermore, we will discuss workflows involving information gathering, analysing data, and applying ML techniques for AI security. Later in the chapter, we will discuss the common pitfalls while designing an AI security workflow and how to avoid such pitfalls. In addition to this, the chapter discusses security concerns in contemporary AI systems that emphasize privacy and ethical considerations while balancing technology. Moreover, we'll discuss how AI/ML could secure the aviation, tourism, and hospitality sectors. Finally, the conclusions will provide valuable insights and recommend further exploration and integration with modern technologies.
The Impact of the COVID-19 Pandemic on Physics Education Innovation Within Virtual Classrooms Across K-16 Schools
Authors: Tsarkos Athanasios
Published: August 2024

This chapter explores the evolution of physics education from traditional methodologies to the integration of virtual classrooms, underscored by digital advancements and the COVID-19 pandemic. It examines the shift towards personalized, interactive learning experiences facilitated by virtual environments, highlighting the role of innovative teaching approaches and the challenges encountered. The analysis covers the transition from pre-pandemic practices to post-pandemic adaptations, emphasizing the enhanced engagement and accessibility virtual classrooms offer. By reflecting on these changes, the chapter reveals the potential of digital platforms to transform physics education, making it more inclusive and effective in meeting the demands of the digital age.
Unraveling Contemporary Language Changes in Online Communication Through Corpus Linguistics
Authors: Ghosh Soumya Sankar
Published: August 2024

The COVID-19 pandemic has accelerated the integration of technology in education, reshaping teaching and learning methodologies globally. This chapter explores the correlation between technology-infused education post-pandemic and the evolving language usage in online communication. Through corpus linguistics and language evolution theories, the authors investigate the nuances of this linguistic transformation and its implications for educational practices. Learners now require digital literacy alongside traditional literacy skills, navigating a digital learning environment characterized by informality and interactivity. Corpus linguistics reveals lexical, syntactic, and socio-cultural changes shaping contemporary communication in virtual learning environments. Understanding these language dynamics is crucial for educators as they navigate the digital age, reflecting the intricate interplay between technology, culture, and cognition.
Leveraging LMS Technology to Deliver Formative Assessment in the Post-Pandemic Era
Authors: Cassels Alicia M.
Published: August 2024

Learning management systems are technology-based platforms that facilitate the delivery of educational content online. These platforms allow students to review course materials, communicate with instructors and peers, engage in group work, access linked technologies, and complete assignments. Instructors deliver stock and custom content, grade learner submissions, hold live meetings with students, and provide learner feedback through learning management systems. Since the COVID-19 pandemic, instructors have increasingly relied on the learning management systems to deliver formative assessments in online, on-ground, and hybrid courses. At the same time, university administrators have prioritized improving the quality of online instruction. Some have endorsed formative assessment as a priority strategy for ensuring quality instruction. However, research indicates that higher education instructors frequently fail to implement formative assessment effectively, limiting the potential benefits of this essential pedagogical strategy. The widespread release of Chat-GPT and other generative artificial intelligence technologies in late 2022 challenged traditional methods for conducting educational assessments, making it even more critical for instructors to use effective formative assessment practices. This chapter offers evidence-based strategies and best practices from the literature to assist faculty in harnessing learning management systems for effective formative assessment delivery.
Urban Vacant Land Uses and Its Implications With Declining Cities
Authors: Vargas-Hernandez José G. , Gonzàlez-Àvila Francisco J. , Domínguez Elizabeth García , Vargas-González Omar C.
Published: August 2024

This chapter aims to analyze the implications between the declining and shrinking cities, urban vacant lands, urban land uses, green infrastructures, urban green areas, and their impact on climate hazards change. The analysis departs from the basic assumption that urban vacant land sites and spaces have a negative connotation but supported by the appropriate policies and programs of incentives can turn around and develop the essential green infrastructure to enable the mitigation of climate change hazards, economic growth, and socio ecological development. The method used is the analytical-descriptive base on the theoretical and empirical literature review. It is concluded that the land uses of vacant land sites more vacationed towards urban green innovation infrastructure and forest areas contribute to mitigate the climate change hazards.
LEED Certification and Sustainable Building Practices
Authors: Hallas Nour Elhouda
Published: August 2024

This chapter delves into the principles of Environmental Architecture, focusing on the integration of sustainable design for efficient and sustainable building facilities. It explores how sustainable design optimizes building performance, minimizes negative environmental impacts, and balances cost, environmental, societal, and human benefits. The chapter highlights key strategies such as optimizing site potential, minimizing non-renewable energy consumption and waste, using environmentally preferable products, protecting and conserving water, improving indoor air quality, and enhancing operational and maintenance practices. It emphasizes the holistic approach of sustainable design, which positively impacts all phases of a building's life cycle, encouraging compromise and trade-offs for a more sustainable future.
Artificial Intelligence, Virtual Reality, and Augmented Reality to Enhance Visual Quality and Accessibility in Sustainable Built Environments
Authors: Arranz-Paraíso Sandra , Arranz-Paraíso Daniel
Published: August 2024

Artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and smart home technologies can enhance visual quality, functionality, and inclusion in built environments. AI algorithms are essential for refining lighting models, strengthening natural lighting, energy efficiency, and sustainability. VR provides immersive experiences in architectural and environmental planning, as well as in cultural heritage preservation and architectural education. Integrating VR with Building Information Modeling (BIM) platforms improves visualization and interaction in sustainable building design. Additionally, AR and smart home systems offer real-time information on space design, enhancing accessibility and efficiency, especially for people with disabilities. AR can also assist in assessing building safety and predicting disasters. This combination of technologies optimizes architectural design, lighting, and space distribution, promoting attractive, functional, and inclusive environments that enhance the well-being and quality of life of all people.
Optimization of Hybrid Renewable Energy Systems for Sustainable Townships With Net Zero Emission Solution
Authors: Prasad Dharmbir , Singh Rudra Pratap , Anand Jatin , Roy Ranadip , Chakraborty Sudhangshu
Published: August 2024

Green buildings, distinguished by their commitment to reducing environmental impact, are transcending traditional energy efficiency norms to prioritize the overall health of occupants. Special emphasis is placed on innovative design principles, cutting-edge materials and smart technologies that not only contribute to energy savings but also cultivate indoor spaces conducive to occupant health and productivity. This research aims to provide valuable insights into the interconnected benefits of green buildings, wherein energy efficiency and occupant health are seen not as disparate objectives but as mutually reinforcing elements of sustainable and harmonious living and working environments. In the proposed system PV produces 82,916 kWh of energy per year, the generic 3 kW of wind turbine produces 1,008 kWh of energy per year and the purchase from grid is 95,485 kWh of energy per year, providing a total of 93,887 kWh of energy per year.
Enhancing Building Energy Efficiency Assessment Through Benchmarking Techniques
Authors: Sansaniwal Sunil K. , Gupta Gyanesh
Published: August 2024

This chapter explores the application of benchmarking techniques to assess and improve building energy efficiency. It highlights the limitations in accurately capturing the complex interplay of factors influencing building energy use. Potential of blending methodologies, including artificial intelligence integration, to overcome these challenges are discussed. Blending methods offer a holistic approach by integrating various benchmarking techniques to provide more precise assessments of energy performance. The chapter presents a detailed discussion on the benefits of blending methods, showcasing how they improve prediction accuracy, enhance flexibility, and adaptability in benchmarking processes. Additionally, a case study illustrates the effectiveness of blending methodologies in predicting building energy consumption, demonstrating significant error reductions compared to individual models. Overall, this chapter underscores the importance of adopting advanced benchmarking techniques to drive improvements in building energy efficiency.
Improvement of Indoor Air Quality Through Solar Ventilation Techniques Installation
Authors: Contreras Gastón Sanglier , González-Lezcano Roberto Alonso , López Fernández Eduardo José , Iglesias Sanz Carlos Miguel
Published: August 2024

Indoor air quality is a crucial aspect of health and well-being, and sustainable innovation plays a pivotal role in addressing this vital concern. In this context, solar ventilation technology emerges as an effective solution to significantly enhance indoor air quality. Solar ventilation presents itself as a sustainable and efficient alternative for optimizing indoor air quality. By harnessing solar energy, this technology reduces reliance on non-renewable energy sources, thereby diminishing the environmental footprint associated with conventional ventilation. Moreover, this approach contributes to climate change mitigation by lowering greenhouse gas emissions related to energy generation.
Efficient Installation Strategies That Guarantee Comfort, Well-Being, and Health in Interior Spaces
Authors: González-Lezcano Roberto Alonso , Sansaniwal Sunil K.
Published: August 2024

Indoor residential environments have a direct influence on human health, especially considering that in developing countries, significant levels of indoor pollution make dwellings unsafe, which has an impact on the health of the inhabitants. Housing is therefore a key factor influencing the health of people around the world, and various parameters such as air quality, ventilation, infrasound, ultrasound, acoustics, hygrothermal comfort, lighting, physical environment, building efficiency, and others can contribute to healthy environment, as well as the conditions that can result from the misapplication of these parameters.
Hidden Gems Breakthrough Dynamic Landscape of Adaptive Learning Technologies for Higher Education
Authors: Singh Bhupinder , Kaunert Christian
Published: August 2024

The field of higher education is changing quickly and the way that student's study is being greatly influenced by technological innovations. With its foundation in artificial intelligence and pedagogical theories, adaptive learning technologies have become extremely effective instruments for meeting students' varied learning requirements. In order to project students learning outcomes, the dynamic field of adaptive learning technologies in higher education and their potential to help close the knowledge gap between theory and practice. As education undergoes a transformational phase in the digital era, adaptive learning technologies enable tailored and responsive learning experiences, adapting instructional content to individual requirements. There are several educational ideas that serve as sources of inspiration for adaptive learning technologies, each of which aids in the creation and improvement of these cutting-edge resources. Adaptive learning is founded on constructivism, which emphasizes active learning and knowledge development by motivating students to interact meaningfully with the material. The reinforcement mechanisms ingrained in adaptive systems, which offer prompt feedback to promote positive learning activities are clearly influenced by behaviorism. The chapter comprehensively explores the thorough grasp of adaptive learning technologies, including their theoretical foundations and real-world applications in higher education.
Predictive Analytics in Educational Outcomes
Authors: Dwivedi Dwijendra Nath , Mahanty Ghanashyama
Published: August 2024

Using a large dataset that includes students' grades, demographic information, and other educational variables from three American high schools, this research work investigates the predictive modeling of students' mathematical performance. Gender, race/ethnicity, parental education, lunch subsidy status, standardized test results (math, reading, and writing), and course enrollment in test preparation are all part of the dataset. The purpose of this study is to examine the relationship between students' socioeconomic status and their mathematical achievement and to discover important predictors of this achievement using sophisticated machine learning algorithms such as ensemble methods, decision trees, and linear regression. A more complex picture of the factors that lead to mathematical achievement can be gained from the study, which uncovers illuminating relationships across demographic variables, educational interventions, and academic results. The results highlight the promise of predictive analytics for developing individualized plans to improve students' educational experiences. Educators, legislators, and future researchers can benefit from data-driven methods of educational planning and decision-making, which is highlighted in the paper's examination of the findings' ramifications.
Transdisciplinary Theories and Models for Understanding Learning Outcomes in Higher Education
Authors: Suchitra Monapati , Prathibha G. S. , Sujata Sanneboina , Areti Kiranmayi , Kadimpati Kishore Kumar
Published: August 2024

In order to define and accomplish learning outcomes in higher education, this study investigates the idea of transdisciplinary learning and its consequences. It explores how transdisciplinary techniques might improve students critical thinking, creativity, and problem-solving abilities by drawing on theoretical frameworks and practical data. It also discusses challenges and opportunities associated with implementing transdisciplinary approaches in higher education, including issues related to curriculum design, assessment methods, and institutional support structures. It highlights examples of successful transdisciplinary initiatives from various educational. This proposed book chapter seeks to explore the significance of transdisciplinary approaches in shaping learning outcomes in higher education settings. By offering insights into the theoretical foundations and practical implications of transdisciplinary approaches to learning outcomes, it aims to contribute ongoing discussions and debates surrounding curriculum development and educational innovation in higher education.
Adapting to the Industry 4.0 Era
Authors: Saraç Aliye , Özdener Nesrin
Published: August 2024

The rapid advancement of technology and industrial transformation are leading to significant changes in education. This chapter focuses on transdisciplinary approaches, which play a crucial role in imparting 21st-century skills and reshaping the education system. Critical thinking, problem-solving, digital literacy, creative thinking, communication, and collaboration have become indispensable for the modern workforce and society. In this context, STEM (Science, Technology, Engineering, Mathematics) education emerges as a model aimed at developing interdisciplinary thinking skills. The integration of IoT (Internet of Things) technology into STEM education with a transdisciplinary approach can enhance the educational process by providing students with opportunities to work on real-world applications. This chapter thoroughly examines how teachers and students can use IoT technology to accelerate the transformation in transdiciplinary STEM education and adapt to Industry 4.0.
Tools-Based Value-Added Approaches and Methodologies in Student-Centric Learning
Authors: Goel Pawan Kumar , Garg Vijeta
Published: August 2024

This chapter explores the integration of tool-based value-added approaches in student-centric learning environments. The introduction contextualizes the research problem, emphasizing the need for innovative methodologies to optimize learning experiences. A critical review of existing literature identifies gaps and limitations in current approaches, paving the way for the development of a new methodology. The proposed methodology integrates tool-based strategies to enhance student engagement and academic outcomes. The analysis of the research results highlights the efficacy of the approach in enhancing learning experiences. The chapter concludes by discussing implications for educational practice and suggesting future research directions.
Adapting Talent Strategy in the Gig Economy to Incorporate the Impact of Quantum Computing on Work Evolution
Authors: Sugandha Sapna , Choubey Rajeev Ranjan , Singh Aishwarya , Suman Surabhi
Published: August 2024

As a result of the emergence of gig frugality, traditional gift strategies have been transformed, prompting associations to reevaluate their approaches in light of the changing technological landscapes. A revolutionary technology that is poised to reshape the dynamics of work is the subject of this chapter, which investigates the intersection of gift strategy and amount computing. Relying on the concept of gig economy, the research investigates the ways in which quantum computing influences the development of work and calls for adjustments to be made in the way gift operations are carried out. By examining the implicit counteraccusations of amount computing on job places, chops demand, and pool structures within the gig frugality, this exploration provides perceptivity into developing nimble gift strategies that anticipate and harness the transformative power of amount computing. The purpose of this chapter is to provide practical recommendations for organizations that are looking to navigate the challenges and opportunities.
Advancements in Battery Technology
Authors: Suresh J. , Krishna R. V. V. , Satyanarayana V. , Ranjit P. S.
Published: August 2024

The main focus of this chapter is on the Armonk single-qubit processor, and the authors give a full account of what IBM's quantum chips can do, specifically as quantum batteries. The goal is to find the best balance between charging time and stored energy by using the Pulse functionality offered by some IBM Quantum processors through the Qiskit package. To do this, the authors look at the pros and cons of several common drive profiles used to charge these small batteries. They also look at how different starting factors can change how quantum batteries work. This research shows that the mistakes that happen naturally at the start of qubit activation don't have a big impact on how energy is sent or stored. On the other hand, these effects may slow down apps that use quantum computing. Interestingly, this could make things run more smoothly. This is strong proof that IBM's quantum devices meet the requirements to be called stable quantum batteries, similar to the cutting-edge devices that were just published in scientific journals.
Machine Learning-Guided Optimization of Chemical Processes Using Quantum Computers
Authors: Kumar M. Sunil , Satyanarayana V. , Nagalakshmi T. , Sasank V. V. S.
Published: August 2024

In order to develop new optimisation tactics for chemical responses, the purpose of this work is to make use of the processing capacity of ultramodern computers and the prophetic powers of machine literacy algorithms. The purpose of this work is to probe the implicit to speed up response discovery, ameliorate response yields, and drop energy consumption. This is fulfilled by the integration of quantum computing simulations and machine literacy- guided methodologies. To develop algorithms and ways that exploit the amount nature of calculating to break optimization problems essential in chemical processes. To use machine literacy styles to enhance the effectiveness and effectiveness of these amount algorithms. Quantum computers have the eventuality to exponentially speed up certain types of optimization problems compared to classical computers. This includes tasks similar as bluffing molecular structures, prognosticating chemical responses, and optimizing response conditions.
Quantum Computing and Machine Learning for Smart Grid Management
Authors: Shinde Pravin Vishnu , Maaliw III Renato R. , Lakshmanarao A. , Ghosh Gopal
Published: August 2024

Quantum computers can solve difficult optimization issues, unlike regular computers. The proposed system optimizes smart grid energy distribution, load balancing, and resource allocation using quantum annealing and Grover's method. Quantum optimization should boost processing speed and accuracy. Quantum algorithms optimize electricity flow, mitigate transmission loss, and boost grid efficiency. By monitoring real-time data and changing loads, dynamic load balancing reduces smart grid bottlenecks and optimizes resource utilization. Machine learning algorithms will precisely forecast energy demand, enhancing grid control and resource distribution. Quantum computing and machine learning enhance smart grid management. From this connectivity, the smart grid gains exceptional efficiency, dependability, and agility, providing a more robust and environmentally friendly energy infrastructure.
Quantum-Inspired Machine Learning for Chemical Reaction Path Prediction
Authors: Neelima P. , Satyanarayana V. , Sravanthi K. B. , Sherin K.
Published: August 2024

The purpose of this study is to provide a novel method for predicting chemical response routes that is designed to exercise machine literacy techniques inspired by the concept of amount. When it comes to addressing the large number of mechanical interactions that are needed in chemical reactions, traditional types of response path vaticination frequently face obstacles. Within the scope of this investigation, the authors apply the ideas of amount computing in order to create a machine literacy framework that is inspired by amount computing and is developed for the purpose of providing accurate and efficient vaticination of response paths. The solution that has been proposed combines the suggestive power of algorithms that are inspired by amounts with the scalability and versatility of machine literacy models. This framework has been shown to have greater performance in predicting reaction courses when compared to conventional methods. This was demonstrated through extensive testing and confirmation on a variety of chemical systems.