bluuebunny/crossref_metadata_2025 huggingface dataset:
On a Spectral Method for β-particle Bound Excitation Collisions in Kilonovae
Authors: Wollaeger Ryan T. , Fryer Chris L. , Chiodi Robert M. , Brady Peter T. , Korobkin Oleg , Harnish Cale C. , Fontes Christopher J. , Haack Jeffrey R. , Chapurin Oleksandr , Koshkarov Oleksandr , Delzanno Gian Luca , Livescu Daniel
Published: May 2024

The interaction of β-particles with the weakly ionized plasma background is an important mechanism for powering the kilonova (KN) transient signal from neutron star mergers. For this purpose, we present an implementation of the approximate fast-particle collision kernel, described by Inokuti following the seminal formulation of Bethe, in a spectral solver of the Vlasov–Maxwell–Boltzmann equation. In particular, we expand the fast-particle plane-wave atomic excitation kernel into coefficients of the Hermite basis, and derive the relevant discrete spectral system. In this fast-particle limit, the approach permits the direct use of atomic data, including optical oscillator strengths, normally applied to photon–matter interaction. The resulting spectral matrix is implemented in the MASS-APP spectral solver framework, in a way that avoids full matrix storage per spatial zone. We numerically verify aspects of the matrix construction, and present a proof-of-principle 3D simulation of a 2D axisymmetric KN ejecta snapshot. Our preliminary numerical results indicate that a reasonable choice of Hermite basis parameters for β-particles in the KN is a bulk velocity parameter
u
= 0, a thermal velocity parameter
α
= 0.5c, and a 9 × 9 × 9 mode velocity basis set (Hermite orders of 0–8 in each dimension). For interior-ejecta sample zones, we estimate that the ratio of thermalization from large-angle (≳2.°5) bound excitation scattering to total thermalization is ∼0.002–0.003.
Overmassive Black Holes at Cosmic Noon: Linking the Local and the High-redshift Universe
Authors: Mezcua Mar , Pacucci Fabio , Suh Hyewon , Siudek Malgorzata , Natarajan Priyamvada
Published: May 2024

We report for the first time a sample of 12 supermassive black holes (SMBHs) hosted by low-mass galaxies at cosmic noon, i.e., in a redshift range consistent with the peak of star formation history: z ∼ 1–3. These black holes are 2 orders of magnitude too massive for the stellar content of their hosts when compared with the local relation for active galaxies. These overmassive systems at cosmic noon share similar properties with the high-z sources found ubiquitously in recent James Webb Space Telescope (JWST) surveys (same range of black-hole-to-stellar-mass ratio, bolometric luminosity, and Eddington ratio). We argue that black hole feedback processes, for which there is possible evidence in five of the sources, and the differing environments in galactic nuclei at these respective epochs play a key role in these overmassive systems. These findings contribute to our understanding of the growth and coevolution of SMBHs and their host galaxies across cosmic time, offering a link between the early Universe (z > 4) observed by JWST and observations of the present-day Universe (z ≲ 1).
Navigating the Patient with Heart Failure through the Health-care System – The Perspective of Hospital Nurses
Authors: Štemberger-Kolnik Tamara , Filej Bojana , Nemeš Silva , Ljubič Andreja
Published: May 2024

BACKGROUND: Navigating the complex health-care system requires the patients to have comprehensive knowledge, active participation, and self-efficacy in health management to effectively engage in planned activities that include diagnosis, treatment, and rehabilitation, to ensure a high quality of life and successfully prevent disease-related complications.
AIM: This study aims to investigate which activities nurses in hospital settings perform to support patients with heart failure to increase health literacy and navigate effectively through the health-care system.
METHODS: Based on qualitative research, the data were collected through semi-structured interviews with 11 nurses from hospitals where patients with heart failure are treated. After reviewing and analyzing the transcribed interviews, a qualitative content analysis of the text followed.
RESULTS: Based on an inductive approach, we first identified coding units, which were grouped into 10 subcategories, and these into five categories: General health literacy, digital literacy, communication health literacy, interprofessional collaboration, and navigation through the health-care system. We found that the treatment of patients with heart failure varies in Slovenian hospitals.
CONCLUSION: Inequality in the treatment of patients between different hospitals highlights the need for a coordinated approach in the Slovenian health-care system. It is crucial to establish uniform national guidelines that would define treatment standards, ensure evidence-based patient care, and thus reduce the disparity in the quality of treatment between different medical institutions.
L’innovation pédagogique pour un leadeurship humaniste supranational
Authors: Ferar Driss
Published: May 2024

Face à une situation de crise multiforme, les décideurs peuventils acquérir au niveau des écoles de gestion, un enseignement stratégique innovant visant un leadeurship humaniste ? L’intérêt de notre apport basé sur une analyse croisée de littérature, d’observations de terrain et d’expériences, est de répondre à la question en suggérant un nouveau leadeurship humaniste supranational susceptible de sauver le management et guérir la gestion de la planète. (394 c)
Vieillissement cognitif : de la plainte à la prise en charge
Authors: Verny Marc , Tomeo Charlotte , Dieudonné Bénédicte
Published: May 2024

L’imagerie cérébrale morphologique est indispensable et complémentaire de la clinique dans la démarche de diagnostic des troubles neuro-cognitifs. D’une part pour éliminer un diagnostic différentiel, d’autre part pour renforcer la suspicion d’un diagnostic clinique à travers des lésions évocatrices (atrophie focale, lésion vasculaire). L’imagerie fonctionnelle permet une orientation étiologique plus précise, lors de présentations atypiques et/ou de troubles débutants.
Vieillissement cognitif : de la plainte à la prise en charge
Authors: Besnard Jérémy , Allain Philippe
Published: May 2024

La notion de cognition sociale fait référence à l’ensemble des aptitudes et expériences émotionnelles et sociales régulant les relations entre les individus, permettant l’adaptation des comportements sociaux. Cette fiche synthétise les données des travaux conduits dans le champ du vieillissement normal et pathologique et dédiés à l’étude des compétences de théorie de l’esprit, d’empathie et de reconnaissance des expressions faciales émotionnelles.
Vieillissement cognitif : de la plainte à la prise en charge
Authors: Truong-Minh Emmanuelle
Published: May 2024

L’organisation des structures et dispositifs pour la personne âgée est complexe. Le psychologue travaillant en gérontologie a besoin d’en avoir une vision précise pour s’y repérer, adapter ses pratiques, aider les personnes accompagnées et leur entourage à appréhender leur propre cheminement dans un parcours de vie marqué par les fragilités ou la perte d’autonomie.
Au-delà des mots…
Authors: Filloux Janine
Published: May 2024

La découverte de l’Inconscient, qualifiée par Freud de troisième blessure narcissique de l’humanité, a toujours fait l’objet de tentatives de réduction ou de maîtrise. Au niveau théorique, en supposant que les connaissances acquises sur le psychisme puissent devenir caduques au regard des évolutions culturelles et sociétales. Au niveau de la pratique, en réfutant les conditions d’accès à l’intelligibilité possible de ce qui agit sur l’humain à son insu. C’est omettre, ou méconnaître, qu’en faisant reposer le pouvoir de la cure sur le pouvoir des mots, la pratique analytique a une place singulière dans les territoires de la connaissance et de la culture et que le dispositif analytique est l’organisateur de la cure de parole.
Les politiques de sanction : poison ou remède face au déclin de la puissance américaine ?
Authors: Delagenière Boris
Published: May 2024

Au XX e siècle, les politiques de sanctions économiques sont devenues une arme privilégiée des grandes puissances. En particulier, les États-Unis n’ont cessé d’« arsenaliser » leur force de frappe monétaire et financière pour soumettre leurs compétiteurs, sans avoir à les combattre. La question se pose de savoir si, après avoir été un instrument de puissance pour l’Amérique, les politiques de sanctions ne seraient pas, paradoxalement, en train de devenir l’un des facteurs de son déclin. Le développement de dispositifs anti-sanctions dans les pays du « Sud global », ainsi que l’émergence d’une « alliance tacite » entre Pékin, Moscou voire Téhéran à la faveur de la guerre en Ukraine, apparaissent aujourd’hui comme les principaux effets pervers de l’accoutumance américaine aux politiques de sanctions.
Embedding Recovery Principles in Staff Orientation: A New Way of Delivering Multidisciplinary Mental Health Orientation
Authors: Payne Leanne , Rologas Kerry , Waters Lillian
Published: May 2024

Purpose

Recovery-focused mental health treatment continues to grow, yet staff are often uncertain how best to define and implement it. As a quality assurance activity, we examined the effect of a novel orientation program embedded with a recovery framework structure, philosophy, and content, together with true lived experience codesign, on knowledge of recovery principles and acceptability.

Method

Staff of a new sub-acute adolescent mental health inpatient center completed a 6-week orientation in early 2020. Recovery processes of connectedness, hope and optimism, identity, meaning, and empowerment were mapped to session topics and the structure, design, and philosophy of the program.

Results

Mean knowledge scores improved from pre- to post-assessment and most (≥70%) participants reported topics as relevant, impactful, and would recommend. Approximately all (95%) comments were positive.

Conclusion

Findings suggest that person-centered orientations that embed a recovery framework are promising for mental health staff orientation. [
Journal of Psychosocial Nursing and Mental Health Services, 62
(10), 7–14.]
Advanced financial market forecasting: integrating Monte Carlo simulations with ensemble Machine Learning models
Authors: Deep Akash
Published: May 2024

This paper presents a novel integration of Machine Learning (ML) models with Monte Carlo simulations to enhance financial forecasting and risk assessments in dynamic market environments. Traditional financial forecasting methods, which primarily rely on linear statistical and econometric models, face limitations in addressing the complexities of modern financial datasets. To overcome these challenges, we explore the evolution of financial forecasting, transitioning from time-series analyses to sophisticated ML techniques such as Random Forest, Support Vector Machines, and Long Short-Term Memory (LSTM) networks. Our methodology combines an ensemble of these ML models, each providing unique insights into market dynamics, with the probabilistic scenario analysis of Monte Carlo simulations. This integration aims to improve the predictive accuracy and risk evaluation in financial markets. We apply this integrated approach to a quantitative analysis of the SPY Exchange-Traded Fund (ETF) and selected major stocks, focusing on various risk-reward ratios including Sharpe, Sortino, and Treynor. The results demonstrate the potential of our approach in providing a comprehensive view of risks and rewards, highlighting the advantages of combining traditional risk assessment methods with advanced predictive models. This research contributes to the field of applied mathematical finance by offering a more nuanced, adaptive tool for financial market analyses and decision-making.
Duševnost, avtobiografija in psihiatrija
Authors: Škodlar Borut , Kastelic Martin P.
Published: May 2024

Za avtobiografske zapise je značilno pripovedovanje o sebi, ki ga vsaka s svojih zornih kotov preučujejo fenomenologija, psihoanaliza, naratologija in hermenevtika. Njihove razčlenitve in analize prispevajo k boljšemu razbiranju človekovih izkustev. V fenomenoloških in psihoanalitičnih perspektivah lahko prepoznavamo bazične in narativne ravni doživljanja sebe ter prehajanja od manj zrelih k zrelejšim oblikam samorazumevanja. Naratološko nas zanima razdalja med pripovedujočim in doživljajočim jazom, ki mora ostajati »dovoljšnja«, da omogoča transparentnost ter zmožnost razumevanja in interpretiranja duševnosti pripovedovalca. Prav tako so za analizo avtobiografij pomembna naratološka pojmovanja (ne)zanesljivosti spomina, pri katerih je poleg verodostojnosti ključen potencial avtobiografije za spoznavanje sebe in razlaganje resničnosti. Vse omenjene analize avtobiografske zapise razčlenjujejo in razgrinjajo, da lažje začutimo njihov transformativni potencial. Zgodbe o težavnih izkušnjah kličejo po zapisu, avtobiografski zapisi pa kličejo bralce, da ob njih začutijo svoje otoke jasnine in iz njih črpajo navdih za spremembe v svojih življenjih. Ranjeni zdravilec, ki je prototip močnega in izkušenega zdravilca, ni nihče drug kot ranjeni pripovedovalec. Skozi pripovedi ranjenih pripovedovalcev se utrjujemo v svojih temeljih, mehčamo v svojih od ogroženosti okostenelih predstavah o sebi ter dozorevamo v bolj čuteče in sočutne posameznike. Zmožni postanemo bolj konstruktivne gradnje samih sebe in sveta okrog nas.
“My Monstrous Progeny”: Reproducing the Other of Reproduction in Frankenstein and The Island of Doctor Moreau
Authors: Smid Robert
Published: May 2024

This article provides an interpretation, influenced by Lacanian psychoanalytic theory, for two seminal works of British horror fiction from the nineteenth century: Frankenstein (1818) by Mary Shelley and The Island of Doctor Moreau (1896) by H. G. Wells. In the first part of the article, I discuss the importance of Frankenstein destroying the unfinished female companion of his monster. In the second part, I analyze how the proto-genetic insights that Moreau gained in his quest for the successful reproduction of uplifted beasts are used to inscribe his symbolic father function. In the conclusion, I analyze Frankenstein’s and Moreau’s own respective ways of reinscribing their experiments into the natural order of things and how they eventually displace the male creator into the symbolic position of the mother and thus overwrite the trope of mother nature as well. This is why Frankenstein’s and Moreau’s creations simultaneously transgress all limits and demonstrate (monstrare) the very limits that the binary logic of presence and absence inevitably enact.
Proposed Feature Selection Technique for Pattern Detection in Patients with Pneumonia Records
Authors: Gil Jauregui Jesus Orlando , Carmen Cruzatti Angel Gerardo , Cano Lengua Miguel Angel , Villaverde Medrano Hugo
Published: May 2024

Pneumonia in Peru is a very serious problem. Its impact in recent years has been aggravated due to the Covid-19 pandemic, generating an increase in infections and deaths without distinguishing the age range, which placed this country on the mortality list due to the pandemic. That is why this research seeks the causes of this problem and evaluates what patterns were detected between the years 2019–2022 in patients with pneumonia in Peru from data set from the Comprehensive Health Insurance (SIS). The data presented values related to age, gender, medication and other significant values to understand the disease. The results of the research were achieved by using the PCA technique where the dimensionality of the data was reduced from 28 to 4 main features (Patient’s year of health care, Age, BMI, Department). Finally, with this processed data set, the K-Means algorithm was used, where it was determined that patients in the 60 to 85 years range are the most affected by J189 pneumonia. In addition, an environmental pattern was found in J189 pneumonia. J128, resulting in a focus on patients on the Peruvian coast in places like Lima or La Libertad.
River Water Quality Analysis Using Arduino-Based Sensor of the Cikapundung River, Indonesia
Authors: Zuhaida Anggun , Widodo Ari , Prima Eka Cahya , Solihat Rini
Published: May 2024

River water is essential for people’s lives and environmental health. There is a need to manage river water to maintain river water quality. This research aims to develop a river water quality analysis system that is practical, easy, and capable of storage and processing using several sensors connected to a computer system. The tools used in this research are Arduino UNO R3 board and sensors. River water samples with various characteristics were taken from four spots of the Cikapundung River. The results showed that river water quality analysis can be done using sensor-based Arduino UNO R3. The temperature at the four spots ranges from 27–32oC and is included in the safe category for sanitation use. Judging from the turbidity factor, the turbidity value of river water is in the high category, namely 49.2–58.1 NTU, which is unsuitable for sanitary use. Regarding the TDS factor, the TDS range in river water is 150–222 ppm, indicating that river water is not polluted. Meanwhile, the pH value shows that the pH range of river water is alkaline and can be used for sanitation with a range of 7.93–8.16. This indicates that the water quality in the Cikapundung River that needs attention is the turbidity factor. It takes awareness of the surrounding community and government agencies to work together to improve the river’s environmental health sustainably.
Educational Technology in Higher Education
Authors: Orr Lynne
Published: May 2024

This article covered the trends in educational technology in higher education primarily pertaining to online teaching and learning. It begins by discussing the background information. A review of the current technology trends was presented with a brief overview of the technology. The last portion of the background information contains a survey conducted during COVID-19 at a state college in the northeastern United States, which asked faculty about their instructional and technical needs during remote teaching and learning. Given the rapid changes in technology in the higher education arena, there are four major issues that arrive causing challenges that need to be addressed. The chapter concludes by discussing the solutions and recommendations for effectively implementing and maintaining the trending technology in higher education. When discussing new technologies there are additional requirements, such as handling uncertainty in higher education and a decrease in funding which influences the budget for these new technologies.
Bilingual Education
Authors: Ragone Leandra
Published: May 2024

Districts must ensure students are supported in their academic and language acquisition careers. According to the Department of Education, between the 2009-10 and 2014-15 school years, the percentage of students who are identified as multilingual learners (MLs) has increased in more than half of the states. It becomes the responsibility of districts and administration to provide adequate support for students as they progress through their educational careers. With the implementation of the Every Student Succeeds Act, multilingual learners are an important focus that needs attention according to this new legislation. Districts hold the duty to offer programs to support multilingual learners' academic and language development. This chapter will focus on the importance of a leader's role and the tasks needed to assist districts with choosing programs that best support multilingual learners' education. This chapter will also provide comparable information on program specifics when choosing the traditional bilingual and dual language program to support multilingual learners.
Empowering the Future of Elementary Education
Authors: Kaur Harjot
Published: May 2024

This chapter explores the crucial role of parental involvement in fortifying the connection between home and school within the primary educational framework. The examination concentrates on the substantiation of this collaboration in fostering student achievement and development, drawing on extensive research and practical insights. The analysis delves into various avenues through which parental participation manifests, encompassing effective communication strategies, involvement in school activities, and support for home-based learning. The chapter highlights the advantages of having a good home-school interaction, including improved community and social and emotional development. It highlights how important it is for parents, teachers, and administrators to work together to establish a caring atmosphere. The collaborative approach emphasizes the value of active engagement in building a robust educational system and promotes open communication and shared accountability.
Five-Week Module to Introduce Interdisciplinary STEAM Vision to Preservice Secondary Teachers
Authors: Zambak Vecihi Serbay , Romagnoli Alex , Bazler Judith , Van Sickle Meta Lee
Published: May 2024

To improve students' interdisciplinary learning, it is necessary to find ways to support teacher candidates' views on pedagogical preparation for STEAM practices during teacher education. Thereby, in this chapter, the authors explored the influence of a five-week collaborative cross-disciplinary STEAM module on secondary mathematics, science, and English language arts pre-service teachers' views and lesson planning skills in the context of STEAM integration. As English language arts provide the foundation for students' learning of STEM subjects, the authors conceptualize English language arts as the arts component in the STEAM module. The findings indicated an improvement in pre-service teachers' STEAM conception and showed slight evidence in their STEAM lesson planning skills. Based on the results, the authors further provide possible implications for pre-service teacher education emphasizing STEAM integration.
Innovations in Addressing Inequity
Authors: Petillo Laura , Villarreal Angello
Published: May 2024

Diversity, inclusion, and equity (DEI) practices positively impact students. Historically, teachers created their own structures, curricula, programs, and strategies before DEI existed. This chapter's goal is to highlight innovative teacher leaders' (TLs) DEI practices that supported equity for their students. Noted TLs whose work contributed to DEI include Mary McLeod Bethune, Salvador B. Castro, Judith Heumann, Barbara Henry, Maria Montessori, and Shinichi Suzuki. Their efforts helped students feel safe, seen, and inspired to pursue academic achievement. This chapter highlights these TLs' accomplishments as well as research of teacher leadership today.
Student Learning
Authors: Duarte Stefania
Published: May 2024

Every Student Succeeds Act (ESSA) is a kindergarten to grade 12 federal laws mandating that “students have equitable access to high-quality educational resources and opportunities, and to close achievement gaps.” (NJDOE, 2019). In response to this federal education law, states identify the grade level standards that all public schools are required to teach, and local board of education committees are responsible for approving district curricula used to teach these standards. Selecting curricula to teach standards requires more than the purchase of a program; once a program is selected, school districts must prioritize training teachers in how to use the program with fidelity to ensure that teaching and learning occurs. This chapter will touch upon the impact professional development has on curriculum implementation and student achievement.
Does Failure to Integrate Generative AI Into Education Represent a Failure of the Educational Enterprise?
Authors: Hakim Tegan
Published: May 2024

Academic institutions have an obligation to prepare students to effectively navigate the realities and demands that await them in the future. Given rising and pervasive applications of AI, students must be equipped to not only serve as qualified consumers of existing technologies, but also as astute evaluators of transformative technologies to discern sound outputs from demagoguery. Should the academy fail to educate students on the process through which AI builds both reliable and deceptive intelligence or forego mentored activities that demonstrate how human intelligence can be augmented, institutions of higher learning may no longer be vital to the preparation of productive citizens. This chapter unpacks many of the practical advantages and perceived limitations of generative AI upon learning and workplace readiness and calls for bravery and accountability in addressing the grand challenges accompanying this technological revolution.
Empowering Educators With Augmented and Virtual Reality
Authors: Yadav Seema
Published: May 2024

AR and VR technologies redefine education, merging virtual and real worlds. AR amplifies real-world views, enabling intuitive interaction with virtual elements via physical interface metaphors. It fosters collaboration, enhancing group projects and remote interactions. The spectrum of XR tools, from customizable to user-friendly platforms, fuels immersive learning. Post-pandemic, integrating AR/VR promises growth, emphasizing user satisfaction and expert guidance. In math education, analyzing strengths and weaknesses unlocks pedagogical innovation. This outlines AR/VR's versatile applications, challenges, and potential in education, shaping future strategies. This underscores the potential of AR and VR in revolutionizing mathematics education, emphasizing the need to analyze their strengths and weaknesses for pedagogical innovation. The chapter presents a comprehensive overview of AR and VR technologies, showcasing their diverse applications, challenges, and opportunities in the realm of education, paving the way for future advancements and informed implementation strategies.
Revisiting Automated Essay Scoring via the GPT Artificial Intelligence Chatbot
Authors: Fianu Eli , Boateng Stephen , Arku Zelda
Published: May 2024

The study sought to statistically compare separate sets of scores of graded essays generated from an automated essay scoring (AES) system (ChatGPT) and a human grader, and further engage stakeholders (students, lecturers, and university management) in a discussion of the results of the analysis from the perspective of fairness, bias, consistency with human grading, ethical issues, and adoption. The study adopted a sequential explanatory mixed methods design. The quantitative approach involved the collection and analysis of essay scores while the qualitative approach involved the use of interviews to ascertain stakeholder opinions of the quantitative results. The results of the quantitative study showed that the distribution of ChatGPT scores is the same across categories of age, gender, and ethnicity. Also, there was no statistically significant difference between ChatGPT scores and the scores of the human grader. The analysis of the responses from the interviews are thoroughly discussed.
Educational Technologies and Assessment Practices
Authors: Lim Tristan , Gottipati Swapna , Cheong Michelle L. F.
Published: May 2024

This chapter examines the integration and trajectory of ubiquitous, adaptive, and immersive technologies in educational assessments, based upon qualitative predictions from Horizon Report and quantitative bibliometric analysis. Through network analysis, the authors identified key educational technological trends and their interconnectedness within the academic domain. These findings underscored the ascendance of adaptive assessments for personalized real-time feedback, the role of virtual immersive assessments adding layers of complexity, variability, and adaptability that a physical environment might not offer, and the pervasive reach of ubiquitous assessments in crafting contextually anchored evaluations. Grounded in pedagogical underpinnings, the chapter presents pressing research gaps, theoretical and practical insights, positioning itself as a useful reference for researchers and practitioners in enhancing educational technology-infused assessment strategies.
A Testbed for a Classroom-as-Organization Program Assisted by Virtual Reality and Learning Management Systems
Authors: Talele Gokul Chandrakant , Pathak Punit , Shaikh Reshma , Sharma Jitender Kumar , Blessing NimaSajai  , Pramanik Sabyasachi , Gupta Ankur
Published: May 2024

Teachers have a number of difficulties when trying to create authentic learning environments that replicate real-world workplace scenarios faced by accounting professionals. In order to address these issues, this research suggests a learning prototype that highlights the advantages of the classroom-as-organization model instructional model, which is backed by a learning management system in conjunction with an immersive 360° and virtual reality learning platform. In order to accurately reproduce the real-life circumstances of a commercial organization, the learning prototype incorporates digital information from virtual reality, concentrating on three tiers of instructional designs. An outline of the components and course structure for each of those three levels is given in this chapter, along with recommendations for instructional design. The prototype is a good substitute for 3-D virtual worlds and business simulations in the creation of technologically enhanced immersive learning environments.
Mapping the Landscape of Smart Education
Authors: Mann Shikha , Mann Sakshi , Kumar A. V. Senthil , Tatia Amrita , Mahajan Yogesh , Deshmukh Kalpana
Published: May 2024

Smart education has sparked substantial scholarly interest. The advent of the COVID-19 pandemic and the subsequent acceleration of digital learning further underscore the importance of in-depth research in this area. The purpose of this study is to investigate the research that appears in the Scopus database and to give a comprehensive evaluation of literature published on smart education in order to identify historical and present trends as well as the future scope of research. The present study conducted a bibliometric analysis of the research articles related to smart education published in scopus from 2010 to April 2023 (articles, review papers, and conference papers in social sciences and business, management, and accounting domains) The results indicate a rapid increase in the number of publications and citations in the field, as well as the emergence of new research topics and themes. The findings of this study provide insights into the current state of research on smart education and identify potential areas for future research.
Artificial Intelligence and Its Application in Engineering
Authors: Sahoo Tanima , Mondal Arijit , Roy Piyal , Podder Amitava
Published: May 2024

Artificial Intelligence has transformative impact on precision medicine, structural health monitoring, and autonomous manufacturing systems, revolutionizing traditional approaches. This book chapter explores the challenges and ethical considerations inherent in AI implementation, addressing issues like data privacy, security, and human-AI collaboration. By scrutinizing real-world implementations and futuristic possibilities, this study paints a vivid picture of AI's profound influence on society. As Artificial Intelligence continues to evolve, its ethical integration into various sectors and the establishment of mutual trust between humans and machines emerge as paramount concerns. Amidst the rapid advancements, this research underscores the imperative of responsible AI development, ensuring a harmonious coexistence between artificial intelligence and humanity.
An Industry-Focused Traffic System Utilising Internet of Things
Authors: Pandey Binay Kumar , Nassa Vinay Kumar , Mukundan A. P. , Mahajan Darshan A. , Pandey Digvijay , George A. Shaji , Dadheech Pankaj
Published: May 2024

Radio frequency identification technology (RFID) and time series forecasts are used to create a dependable IoT-based traffic system. The system regulates city traffic. The suggested method estimates junction traffic volume over time using LSTM neural networks. RFID technology improves data collection accuracy and reliability. Data preparation includes outlier identification to remove anomalies. Training the LSTM model on preprocessed data reveals traffic volume trends. The trained model predicts traffic volume using historical data. Prediction performance is quantified by MAE, MAPE, and R2. The proposed approach is tested using four intersection traffic data. Results indicate that LSTM-based traffic volume estimation works. The optimal design is determined by evaluating system performance for 12-to-168-time steps. The experimental findings suggest that the proposed method can accurately anticipate traffic volume, helping traffic managers enhance flow. RFID and time series projections bolster traffic system reliability.
Deployment of Load Balancing in Cloud Computing
Authors: Pandey Binay Kumar , Mukundan A. P. , Nassa Vinay Kumar , Pandey Digvijay , George A. Shaji , Hameed A. Shahul , Dadheech Pankaj
Published: May 2024

Cloud computing involves virtualization, distributed computers, networking, software, and web services. Clouds have clients, datacenters, and servers. It has fault tolerance, high availability, scalability, flexibility, little user overhead, cheap ownership cost, on-demand services, etc. These difficulties require a powerful load balancing algorithm. Memory, CPU, latency, or network-load. Load balancing distributes demand to avoid overloaded distributed system nodes and optimises resource use and job response time. Load balancers ensure that processors and network nodes perform similarly. Methods initiated by sender, recipient, or symmetric. Using the divisible load scheduling theorem, a load balancing method will optimise throughput and latency for clouds of different sizes.
Parenting for Youth Identity Formation and Resilience in the Face of Adversity
Authors: Ecklund Kathryn
Published: May 2024

The focus of this chapter is the integration of research findings on parental roles in the formation of heritage (e.g., ancestral, racial, ethnic, faith/religious) cultural identity within contexts in which one may experience marginalization and subjugation. This chapter elucidates positive parenting influences on youth heritage identity formation and their concomitant outcomes for youth. It also highlights specific factors that put youth at risk. The chapter concludes with parenting strategies that function to support the positive formation of heritage identity and strategies for navigating marginalizing and discriminatory experiences (MIDEs), which in turn, supports the academic, well-being, and global health of youth.
Parenting in the Age of Intersectionality
Authors: Ecklund Kathryn
Published: May 2024

This chapter consolidates research findings from a range of ethnic, racial, cultural, and social identity groups regarding parenting youth to be resilient, healthy, and successful. The presented parenting strategies focus on scaffolding youth development and navigating the complex network of intersecting identities within diverse family contexts. The chapter includes parenting strategies that promote positive formation of intersecting identities and capacity to thrive. Strategies are conceptualized within a strengths-based, intersectional framework which functions to support academic success, psychological and social well-being, and global health of youth and enables them to thrive as they mature into adulthood.
The Influence of Too Much or Too Little Parental Involvement in College Adjustment in Undergraduate Students
Authors: Gamez Ana Maria , Navarro Jazmine Stephanie
Published: May 2024

Parental involvement is a critical aspect of child development that evolves as children become adolescents and enter adulthood. This chapter delves into the influence of too much or too little parental involvement on college students' adjustment. It discusses the impact of parenting dynamics such as overly involved, uninvolved, and conflictual styles on college adjustment. Transitioning from high school to college can be exciting and overwhelming for students as they adjust to new expectations that affect them psychologically, behaviorally, and cognitively. This chapter explores the effects of transitioning from high school to college, coping with change, and ways to facilitate emotional adjustment. It outlines the role of other contributing factors, such as social and academic success, self-efficacy, and college belongingness, in overall adjustment. Lastly, this chapter concludes with institutional strategies to help support student wellbeing.
Engaging Black Fathers
Authors: King Autumn
Published: May 2024

Within the intricate fabric of family dynamics, the bond between a child and its father holds significant influence. Black fathers are central to community advancement, fostering lower crime rates, improved educational outcomes, and heightened social welfare. However, the pervasive issue of absent Black fathers persists, casting a shadow over these positive contributions. This chapter delves into the concept of the father's absence, exploring its profound impacts on children's emotional, psychological, and social development. By delving into the historical origins of Black father absence, marked by economic inequities, discriminatory policies, and high rates of incarceration, the authors uncover persistent challenges within the Black family framework. Despite these obstacles, the chapter also explores strategies professionals and practitioners can utilize to effectively support and engage Black fathers, recognizing their transformative potential in nurturing thriving children, fostering resilient families, and strengthening communities.
Court-Ordered Success and Wellbeing
Authors: Husen James Charles , Nascimento Heather Amanda
Published: May 2024

Parenting plan evaluations (PPEs) help parents help their children by assisting judicial officers make orders in the best interests of the children. Part 1 of this chapter addresses methodological issues affecting the weight, admissibility, and usefulness of PPEs in court. Part 2 of this chapter discusses four fact patterns identified in a review of 226 PPEs conducted by James Husen and his team between 2018 and 2023 to illustrate how PPEs inform court orders promoting success and wellbeing.
Navigating Parental Drug Addiction and Psychopathology
Authors: Singha Ranjit
Published: May 2024

This chapter examines the anthologies of children who have demonstrated resilience in the face of adversity linked to their parents' problems, such as substance abuse and psychopathology. In navigating the complexities of the family unit, personal coping mechanisms and community and peer support arise as critical components. These anecdotes emphasize the capacity for favourable consequences resulting from providing individuals with educational and social support networks. This underscores resilience's profound complexity when confronted with difficulties within the family unit.
Cyber Sentinels
Authors: Panda Subhajit , Kaur Navkiran
Published: May 2024

Libraries in this digital era of information dissemination serve as crucial hubs for accessing information and resources, making cybersecurity awareness among library professionals paramount. This chapter delves into the crucial realm of cybersecurity awareness in library environments, emphasizing its multifaceted nature, including data security, privacy, and threat mitigation. Real-world consequences of inadequate awareness underscore the urgency of addressing this issue. It explores the spectrum of cyber threats libraries face, emphasizing the pivotal role of cultivating cybersecurity awareness among librarians. Strategies for enhancing library cybersecurity are presented, recognizing its pivotal role in safeguarding valuable digital resources. Using surveys and comprehensive analysis, it provides insights into the cybersecurity awareness of Indian library professionals, examining their expertise, threat awareness, and influencing factors, revealing essential areas for improvement and further research.
AI-Powered Teaching Plan
Authors: Sivakumar Janaki , Al Harthy Khoula
Published: May 2024

This chapter discusses AI-powered teaching and learning in Higher education. The main objective of this chapter is to examine the process of AI-powered teaching and Learning in Plan, Progress, and post-evaluation. Also, the chapter discusses major components involved in AI-powered teaching, the evolution of AI-powered learning, and various cutting-edge technologies used in teaching and learning major areas. Opportunities and challenges in incorporating AI-powered teaching have also been discussed. Case studies were analyzed to evaluate the power of AI-based teaching and learning. Implications of using AI in higher education in terms of psychology, social, cultural, and ethical aspects have been discussed in detail. Finally, this chapter also discusses recommendations to policymakers to navigate challenges
Eco-Friendly Smart Agricultural Process Using Artificial Intelligence
Authors: Gunasekaran K. , Boopathi Sampath , Suresh S. , Suresh P. , Vanitha N. Suthanthira , Radhika K.
Published: May 2024

The integration of eco-friendly practices with smart agricultural processes, facilitated by artificial intelligence (AI), offers significant economic benefits to the agricultural sector. This approach optimizes resource utilization, mitigates environmental impact, and streamlines operations. The benefits include cost savings, enhanced efficiency, and increased yields, while promoting environmental stewardship. The economic implications for stakeholders across the agricultural value chain, including farmers, suppliers, and consumers, are also discussed. Case studies and empirical evidence demonstrate how AI-driven smart agriculture drives economic growth, fosters resilience, and contributes to long-term sustainability goals. The chapter highlights the transformative potential of this convergence and its potential to drive economic growth and sustainability. The chapter explores the benefits of AI-driven smart agriculture, including cost savings, increased efficiency, and increased yields, while promoting environmental stewardship.
Transformer Encoder-Based Deep Learning Model for Time Series Prediction
Authors: Mandal Unmesh
Published: May 2024

Historical weather data shows time-sensitive patterns and exhibits seasonality and trends. Machine learning (ML) models can learn to identify these patterns and predict future events. Weather forecasting is a popular time series problem. Historically, RNNs like long short-term memory and gated recurrent unit addressed weather prediction. Yet, the vanishing gradient (VG) problem hindered long-term context connections in extended input sequences. The transformer addresses the VG problem and was initially designed for the natural language processing tasks, where it has proven highly successful. However, there have been few works to unfold the effectiveness of the transformer in regression-based problems. This study introduces a transformer encoder-based ML framework for weather prediction. Analysing historical data and augmenting the dataset with essential temporal information, the model enhances accuracy in forecasting air temperature one step ahead. The results of the experiments are compared to modern RNN-based models and with other similar works previously done in the same field.
Solar Power Forecasting Using Machine Learning Techniques
Authors: Jain Arti , Gupta Rajeev Kumar , Kumar Mohit
Published: May 2024

The world faces a major global issue of increasing global warming and energy demands. There is an increasing need for renewable and eco-friendly energy sources that produce little greenhouse emissions. Hydro projects need a massive investment; likewise, wind energy is limited to coastal regions. Solar energy investments offer the same or even more benefits at a considerable cost. Tackling these issues, this chapter presents a comprehensive approach for predicting solar power generation using machine learning techniques. The study uses a dataset of 21 meteorological features, the critical being temperature ranges. Various visualization techniques are employed to understand the nature of variables. Preprocessing methods, such as removing constant and duplicate features, and handling data imbalance using SMOTE are applied. Three machine learning regression models—linear regression, elastic net regression, and random forest regression—are compared to identify the best-performing method. Through extensive testing, the study achieved an R2 score of 0.964.
Harnessing VR and AR for Sustainable Smart Manufacturing
Authors: ManiMekalai M. , Veni C. , Agarwal Arun , Joshi Aparna Ambadas , Gururaja H. S. , Boopathi S.
Published: May 2024

The integration of virtual reality (VR) and augmented reality (AR) tools in smart manufacturing can significantly reduce environmental impacts. Traditional manufacturing practices often lead to resource consumption, energy usage, and waste generation. VR and AR technologies offer immersive experiences, enhance productivity, streamline training, and optimize design workflows. They reduce the need for physical prototypes and travel, reducing carbon emissions and resource consumption. AR overlays real-time information onto physical environments, empowering workers to make informed decisions, reducing errors and material waste. However, challenges like technological complexity, cost barriers, and workforce training remain. Collaboration among technology providers, policymakers, and industry stakeholders is crucial to maximize the sustainability impact of VR and AR in manufacturing. Governments can support adoption through regulatory frameworks, grants, subsidies, and knowledge-sharing platforms.
Reliability and Validity in Quantitative Research
Authors: Adeyemi Beatrice Bunmi
Published: May 2024

This chapter is specifically designed for undergraduate and graduate students of applied linguistics, language education, language teachers, as well as applied linguists. It offers readers a thorough exploration into the intricacies of maintaining credibility and precision in their quantitative research work. The extensive content delves beyond superficial comprehension by presenting an intricate grasp on the fundamental principles required to establish reliability and validity. The chapter will guide readers through an exploration of the fundamental aspects of quantitative research, emphasizing the importance of reliability and validity evaluation. By delving into key concepts and methods for assessing measurement accuracy, consistency, and dependability, readers will acquire a deep understanding that enhances their overall research quality. Upon completion of this chapter, individuals will possess vital comprehension on reliability and validity. Moreover, they shall gain the ability to uphold their research's meticulousness and credibility in quantitative studies.
Action Research
Authors: Hoa Chau Thi Hoang
Published: May 2024

This chapter delves into the significance of action research on the professional growth of English as a foreign language (EFL) teachers. The chapter begins by defining action research and distinguishing it from traditional research designs. The chapter further explores a variety of action research models, which these models are presented not just as theoretical constructs but as practical tools that EFL teachers can use to enhance their teaching practices. Finally, the chapter addresses the practical challenges and limitations associated with implementing action research in the EFL teaching context. It acknowledges that while action research offers a robust framework for teacher development and pedagogical improvement, there are hurdles in terms of understanding, selecting, and applying the most appropriate model. The chapter also recognizes its own limitations, notably its lack of comprehensive, step-by-step guidelines for action research application, and its focus on overarching concepts rather than detailed problem-solving strategies.