bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved Astrophysical and Computational Oscillator Strengths for Ultraviolet P ii Lines
Authors: Cashman Frances H. , Kisielius Romas , Kulkarni Varsha P. , Karpuškienė Rasa , Elkhatib Fatima
Published: October 2024

Abundance measurements for the volatile element phosphorus are important for measuring the metallicity in interstellar and circumgalactic gas, where their accuracies are limited by uncertainties in the oscillator strengths. We report updated oscillator strength values for two resonant transitions of the dominant ion P II, the transitions at 961.041 and 963.801 Å, which have historically shown large uncertainties. Using a combination of observational measurements and highly accurate quasi-relativistic Hartree–Fock theoretical calculations, we present an updated oscillator strength of f = 0.147 ± 0.021 for the poorly constrained P II resonant transition at 961.401 Å, which arises from the ground electronic state 3s
23p
2
3P0 to the excited level 3s
23p3d
3D

1
o

. This result utilizes archival optical spectra obtained with the Very Large Telescope for the quasar PKS 0528–250, which has a damped Lyα absorber at z = 2.811. We calculate a theoretical f-value = 0.153 for 961.401 Å consistent with our empirically derived value, and calculate a theoretical f-value = 1.79 for 963.801 Å. We also present theoretical oscillator strengths for the P II resonant transitions at 972.779, 1124.945, 1152.818, 1301.874, and 1532.533 Å, as well as for multiple P II fine-structure and excited-level transitions. The updated f-value for the P II 961 Å transition will be useful in future studies of P abundances, especially in sight lines where the 1152 Å line is saturated.
Using the Cartwheel CME to Predict Off-limb Observations of CMEs for New and Upcoming UV and EUV Spectrometers
Authors: Wraback E. M. , Landi E. , Manchester W. B.
Published: October 2024

Coronal mass ejections (CMEs) expel multithermal, magnetized plasma from the Sun, and when directed toward Earth, can cause extensive damage to space and ground-based electronics. To better understand the triggering, acceleration, and evolution of CMEs, it is critical to study CME plasma properties close to the Sun. High-resolution ultraviolet and extreme ultraviolet (UV-EUV) spectroscopy can give the most detailed plasma diagnostics of CMEs in the low solar corona. Unfortunately, very few spectrally resolved observations of CMEs in the low solar corona exist. However, with the recent launch of the Spectral Imaging of the Coronal Environment on board Solar Orbiter and the upcoming missions, including the EUV High-Throughput Solar Telescope (EUVST) on Solar-C and the Multi-slit Solar Explorer (MUSE), we will have the opportunity to obtain unprecedented, spectrally resolved CME observations. Using the only full EUV spectral observation of a CME by the Hinode/EUV Imaging Spectrometer, we predict the spectra that SPICE, EUVST, and MUSE are expected to observe during an off-limb CME eruption to investigate the diagnostic capabilities of each instrument. Finally, we provide a list of density-sensitive and temperature-sensitive ratios for CME plasma diagnostics along with the expected spectral atlas for each instrument to facilitate observing sequence planning.
The R-process Alliance: Fifth Data Release from the Search for R-process-enhanced Metal-poor Stars in the Galactic Halo with the GTC*
Authors: Bandyopadhyay Avrajit , Ezzeddine Rana , Allende Prieto Carlos , Aria Nima , Shah Shivani P. , Beers Timothy C. , Frebel Anna , Hansen Terese T. , Holmbeck Erika M. , Placco Vinicius M. , Roederer Ian U. , Sakari Charli M.
Published: October 2024

Understanding the abundance pattern of metal-poor stars and the production of heavy elements through various nucleosynthesis processes offers crucial insights into the chemical evolution of the Milky Way, revealing primary sites and major sources of rapid neutron-capture process (r-process) material in the Universe. In this fifth data release from the R-Process Alliance (RPA), we present the detailed chemical abundances of 41 faint (down to V = 15.8) and extremely metal-poor (down to [Fe/H] = −3.3) halo stars selected from the RPA. We obtained high-resolution spectra for these objects with the HORuS spectrograph on the Gran Telescopio Canarias. We measure the abundances of light, α, Fe-peak, and neutron-capture elements. We report the discovery of five carbon-enhanced metal-poor, one limited-r, three r-I, and four r-II stars, and six Mg-poor stars. We also identify one star of a possible globular cluster origin at an extremely low metallicity at [Fe/H] = −3.0. This adds to the growing evidence of a lower-limit metallicity floor for globular cluster abundances. We use the abundances of Fe-peak elements and the α-elements to investigate the contributions from different nucleosynthesis channels in the progenitor supernovae. We find the distribution of [Mg/Eu] as a function of [Fe/H] to have different enrichment levels, indicating different possible pathways and sites of their production. We also reveal differences in the trends of the neutron-capture element abundances of Sr, Ba, and Eu of various r-I and r-II stars from the RPA data releases, which provide constraints on their nucleosynthesis sites and subsequent evolution.
Element Formation in Radiation-hydrodynamics Simulations of Kilonovae
Authors: Magistrelli Fabio , Bernuzzi Sebastiano , Perego Albino , Radice David
Published: October 2024

Understanding the details of r-process nucleosynthesis in binary neutron star merger (BNSM) ejecta is key to interpreting kilonova observations and identifying the role of BNSMs in the origin of heavy elements. We present a self-consistent, two-dimensional, ray-by-ray radiation-hydrodynamic evolution of BNSM ejecta with an online nuclear network (NN) up to a timescale of days. For the first time, an initial numerical relativity ejecta profile composed of the dynamical component and spiral-wave and disk winds is evolved including detailed r-process reactions and nuclear heating effects. A simple model for the jet energy deposition is also included. Our simulation highlights that the common approach of relating in postprocessing the final nucleosynthesis yields to the initial thermodynamic profile of the ejecta can lead to inaccurate predictions. Moreover, we find that neglecting the details of the radiation-hydrodynamic evolution of the ejecta in nuclear calculations can introduce deviations of up to 1 order of magnitude in the final abundances of several elements, including very light and second r-process peak elements. The presence of a jet affects element production only in the innermost part of the polar ejecta, and it does not alter the global nucleosynthesis results. Overall, our analysis shows that employing an online NN improves the reliability of nucleosynthesis and kilonova light-curve predictions.
Pour une transition au prisme de l’epistémologie du lien et de l’économie sociale de la connaissance : retour réflexif sur l’ingénierie sociale participative au niveau de la péninsule sud d’Haïti
Authors: Victor Charly Camilien
Published: October 2024

En raison des périodes d’urgence récurrentes dues aux catastrophes naturelles, les acteurs locaux sont souvent enjoints à participer aux projets de relèvement et de développement. Toutefois, il est constaté en même temps une perte progressive d’autonomie des communautés locales et une mise à l’écart de leurs savoirs pratiques, compte tenu des logiques descendantes « top down » de l’ingénierie sociale participative. Cette situation d’injonction est analysée à travers deux exemples tirés du terrain de la Péninsule Sud et des entretiens compréhensifs illustrant cette invisibilisation des savoirs expérientiels des acteurs. A cet effet, l’épistémologie du lien est proposée comme alternative pour une économie sociale de la connaissance inspirée du mouvement « Buen conocer ».
Second order Rayleigh–Schrödinger perturbation theory for the Grasp2018 package: Core–core correlations
Authors: Gaigalas Gediminas , Rynkun Pavel , Kitovienė Laima
Published: October 2024

GRASP package is based on the relativistic configuration interaction in which accurate calculations, accounting for valence, valence–valence, core–valence, core and core–core electron correlations, often rely on massive CSF expansions. This paper presents a further development of the method based on the second-order perturbation theory for finding the most important CSFs that have the greatest influence on the core–valence, core and core–core correlations. This method is based on a combination of the relativistic configuration interaction method and the stationary second-order Rayleigh–Schrödinger many-body perturbation theory in an irreducible tensorial form [G. Gaigalas, P. Rynkun, and L. Kitovienė, Second-order Rayleigh–Schrödinger perturbation theory for the GRASP2018 package: Core–valence correlations, Lith. J. Phys. 64(1), 20–39 (2024), https://doi.org/10.3952/physics.2024.64.1.3, and G. Gaigalas, P. Rynkun, and L. Kitovienė, Second-order Rayleigh–Schrödinger perturbation theory for the GRASP2018 package: Core correlations, Lith. J. Phys. 64(2), 73–81 (2024), https://doi.org/10.3952/physics.2024.64.2.1]. In this extension, the perturbation theory takes into account electron core–valence, core and core–core correlations, where an atom or ion has any number of valence electrons, for calculation of energy spectra and other properties. Meanwhile, the rest of the correlations are taken into account in a traditional way. This allows a significant reduction of the space of the configuration state function for complex atoms and ions. We also demonstrate how this method works for calculations of the energy structure and E1 transition properties of Fe XV ion.
Characterization of SLA-printed ceramic composites for dental restorations
Authors: Stravinskas Karolis , Shahidi Alireza , Kapustynskyi Oleksandr , Matijošius Tadas , Vishniakov Nikolaj , Mordas Genrik
Published: October 2024

This study introduces a novel ceramic-composite resin specifically developed for stereolithography (SLA) 3D printing, aimed at enhancing dental restorations. The integration of advanced digital technologies in dentistry has shifted traditional methods towards more precise and efficient techniques such as computer-aided design/computer-aided manufacturing (CAD/CAM). However, these processes typically involve material waste due to their subtractive nature. Additive manufacturing, or 3D printing, particularly SLA, which uses ultraviolet light to cure photosensitive resins, presents a viable alternative with the potential for creating detailed, custom restorations with minimal waste. Our research focuses on formulating and evaluating a ceramic-composite resin that combines the benefits of light-cured materials with the mechanical robustness required for dental applications. We conducted comprehensive tests to assess the printability, mechanical properties and wear resistance of the developed material. The ceramic-composite resin demonstrated a tensile strength of approximately 73 MPa, significantly higher than the 42 MPa observed for traditional photopolymer resins. Additionally, the ceramic-composite resin showed ability to resist incidental friction and wear. This research could significantly impact the dental prosthetics field by providing a method for producing high-performance, patient-specific restorations efficiently and cost-effectively.
Processing practices and quality of crude palm oil produced on a small scale in Valença, Bahia, Brazil
Authors: Bomfima R.S. , Velasco J. , Cardoso L.A. , Ribeiro C.D.F. , Marinho L.Q.M. , Ribeiro P.R. , De Almeida D.T.
Published: October 2024

This study aimed to compare the quality of crude palm oils (CPO) produced from different processing methods in Brazil: traditional (T-CPOE), little-mechanized (LM-CPOE) and semi-mechanized extraction (SM-CPOE). A total of 57 CPO samples were studied. The peroxide value (PV), total carotenoids (TC), oxidative stability index (OSI120), deterioration of bleachability index (DOBI), color (CIELab), total polar compounds (TPC) and its fractions, consisting of triacylglycerol polymers (TGP), dimers (TGD), oxidized monomers (oxTGM), diacylglycerols (DAG) and free fatty acids (FFA) were analyzed. Regardless of the extraction method, the PV, TC and OSI120 were found to be 3.1-7.6 meqO2/kg, 375-598 ppm, and 0.6-3.3 h, respectively. T-CPOE samples demonstrated superior quality based on DOBI and TPC. The TPC in the T-CPOE samples were significantly lower (8.7-9.6%) than in the other samples (11.9-18.5%). In all methods, the levels of compounds in the TPC fractions were DAG ≈ FFA > oxTGM > (TGP + TGD). Fruit selection and T-CPOE equipment played crucial roles in reducing oil degradation.
«Las mujeres que necesita España». Elisa Sancho Izquierdo y las organizaciones católicas femeninas en la posguerra
Authors: Escobedo Muguerza Isabel
Published: October 2024

El Nuevo Estado, surgido de la guerra civil, otorgó un papel crucial y privilegiado a la Iglesia Católica y, con ella, a las organizaciones católicas destinadas a canalizar la movilización de los seglares con el objetivo de recatolizar España y acabar con la «apostasía de las masas». Así pues, las organizaciones católicas femeninas experimentaron en esta etapa un crecimiento extraordinario. Como ya habían hecho en etapas anteriores salieron del hogar y ocuparon el espacio público para defender la tradición católica. Alguna de estas mujeres de la clase media conservadora como, por ejemplo, Elisa Sancho Izquierdo fueron grandes propagandistas, tomaron la palabra en público, escribieron un gran volumen de artículos en la prensa, cultivaron la escritura y ocuparon puestos relevantes dentro de las estructuras de Acción Católica. Asimismo, con su mera existencia, pusieron en cuestión unos modelos de género que el régimen franquista trataba de convertir en hegemónicos.
Discursos en torno al noviazgo, la preparación al matrimonio y la familia en la Juventud Obrera Cristiana (JOC). Entre el respeto a la obrera y la formulación de nuevas demandas sociales (1957-1968)
Authors: Esteban Zuriaga María José
Published: October 2024

La Juventud Obrera Cristiana (JOC) se implantó de manera definitiva en España a partir de 1946, con el objetivo de evangelizar a los jóvenes de clase obrera y reflexionar desde una perspectiva cristiana sobre las problemáticas que afectaban a la juventud trabajadora. Entre las cuestiones que atrajeron su atención se encontraban aquellas ligadas al desarrollo personal como las relaciones entre chicos y chicas, el noviazgo o la preparación al matrimonio. Las fuentes muestran que la educación sentimental dispensada desde la JOC masculina y femenina (JOCF) durante los años cincuenta y sesenta estuvo determinada por elementos como la clase social, la religión y los mandatos de género imperantes durante el franquismo. El modelo de pareja y de familia producto de la intersección de estos factores fue difundido a través de publicaciones, materiales de formación y de la Institución Nueva Familia Obrera (INFO).
Mobile Learning for Transforming English Writing Skills
Authors: Khamraeva Shavkatovna Dilfuza , Hashim Harwati , Jamaludin Khairul Azhar
Published: October 2024

Language learning has been transformed by the use of mobile learning (m-learning) technologies in educational settings, especially with growing interest in improving productive skills. Considering m-learning as a prominent menace, the objective of this paper was to investigate the effects of m-learning tools on English as a foreign language (EFL) learners’ English writing proficiency. This study offers a thorough review of modern m-learning tactics and technologies. Three research questions were developed to frame this investigation. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) technique was used to assess and categorize 21 selected papers published between 2013 and 2023 from the Scopus and Web of Science (WOS) databases. The subject of the study and methodologies were assessed by the content analysis of published articles. Convenience, enhanced engagement, motivation, self-paced learning, learning autonomy, and interactivity were the other six main study findings that were found. Consequently, this review can serve as a starting point for future research projects aimed at managing m-learning as well as new avenues of investigation for the development of English writing abilities. Finally, some recommendations for further research are included in the conclusion section.
Impact of Augmented Reality via Mobile Technology on Student Performance in Physics Practicals Work
Authors: Ayaichi Laila , Bouras Nihal , Amaaz Aziz , Mouradi Abderrahman , El Kharrim Abderrahman
Published: October 2024

The current study was conducted to investigate the effect of using augmented reality (AR) via mobile devices on students’ performance in practical physics work. The study involved 108 second-year bachelor students specializing in physics and chemistry at the Higher Normal School of Abdelmalek Essaadi University. In this experimental study, the students were divided into two groups: an experimental group and a control group. The results indicate that using AR via mobile devices positively impacts students’ performance in practical physics work and significantly reduces the time required for the experimental group to complete various experiments.
Enhancing Academic Performance through Blended Learning: A Study on the Relationship between Self-Efficacy and Student Success
Authors: Rayyan Mohammad , Abusalim Nimer , Alshanmy Sarah , Abu Awwad Ferial M. , Alghazo Sharif
Published: October 2024

This study compares the efficacy of traditional learning to blended learning, which combines in-person instruction with online learning, in terms of academic performance and selfefficacy. The two main goals of the study are to determine whether there are any significant differences in post-general self-efficacy (GSE) scores between the experimental group (EXP. G.), which participated in blended learning, and the control group (CON. G.), which only received traditional instruction, and to investigate the connection between self-efficacy scores and grade point average (GPA). The study measured self-efficacy with a pre- and post-GSE scale, evaluated academic performance using a GPA analysis, and used a quasi-experimental design with non-equivalent comparison groups. The findings showed that, in comparison to traditional learning, blended learning significantly increased students’ self-efficacy. Additionally, a positive correlation between self-efficacy levels and GPA was found, suggesting that greater self-assurance was linked to better academic performance. These results offer compelling proof of how blended learning can improve academic outcomes and foster self-efficacy. Because of its potential to enhance student learning experiences and promote academic achievement, blended learning is strongly advocated in educational settings, according to the study. Blended learning provides exceptional opportunities to engage and motivate students, ultimately resulting in improved learning outcomes. It does this by fusing conventional faceto- face instruction with online educational strategies.
Combined Deep Learning Approaches for Intrusion Detection Systems
Authors: Alshattnawi Sawsan , Alshboul Hadeel Rida
Published: October 2024

Cybersecurity has become increasingly important because of the widespread use of data and its enormous global storage. Hackers and other invaders always want to breach data security by interfering with network traffic. The breaches must be stopped by several tools, such as firewalls. Other solutions, such as intrusion detection systems (IDSs), may detect network intrusions effectively. In this paper, we introduce a hybrid technique (CNN-LSTM) that combines the convolutional neural network (CNN) with long short-term memory (LSTM), a modified version of the recurrent neural network (RNN). The model is tested using the CSE-CIC-IDS2018 dataset. Both CNN and LSTM were individually applied to the datasets, and the results are compared with our hybrid CNN-LSTM model. The hybrid CNN-LSTM model demonstrated higher accuracy (99%) during both training and validation processes compared to individual models; the accuracy of the CNN model is 92% and the accuracy of the LSTM is 93.5%. The outcomes validate the usefulness and effectiveness of the hybridizing model.
Advancements in Breast Cancer Detection through Broadband Microstrip Antenna Technology
Authors: Alsaraira Amer , Saraereh Omar A. , Alabed Samer
Published: October 2024

In this paper, a novel method for detecting breast cancer utilizing an ultra-wideband (UWB) microstrip patch antenna operating in the UWB frequency range is presented. The promise of non-invasive, radiation-free breast cancer screening is provided by UWB technology. We give a brief overview of the difficulties in detecting breast cancer as well as the benefits of UWB technology in medical applications in this study. This study presents a compact printed microstrip patch antenna used for the bio-medical application at industrial, scientific, and medical (ISM) and UWB frequencies. The proposed antenna consists of a hexagonal-shaped microstrip patch antenna with a slotted ground antenna used for high bandwidth for a wider range of applications. The compact biomedical antenna is printed on Roger 5880 substrate with an overall dimension of 25*25 mm. Due to the high demand for results accuracy, Roger 5880 substrate material is used because it has good dielectric characteristics and loss factors that are appropriate for medical and radio frequency (RF) applications. A 50-ohm impedance line is used to feed the antenna. The proposed antenna has a higher bandwidth of almost 12.5 GHz at such a low frequency, starting from 3.53 to 16 GHz. The antenna has an acceptable gain of 3.38 Db, which is enough for the required application. The UWB microstrip patch antenna has the potential to improve breast cancer detection accuracy and reliability, which would aid in early diagnosis and better cancer patient treatment. This work represents a major advancement in the development of non-invasive, low-cost breast imaging methods for early cancer diagnosis.
Digital Learning and Social Sustainability
Authors: Yadav Nagendra Singh , Yadav Pallavi Singh , Goar Vishal
Published: October 2024

The chapter Strives to deliver a thorough exploration of the intersection between digitalization, learning, and social sustainability from a global perspective. As digital technologies continue to reshape our world, their impact on education and their role in fostering social sustainability is of paramount importance. This chapter will delve into various aspects of this multifaceted relationship, examining case studies and trends from around the world to shed light on the challenges and opportunities faced by educational institutions, policymakers, and communities.
E-Learning Platforms and Their Influence on Lifelong Learning
Authors: Kayyali Mustafa
Published: October 2024

This chapter explores the impact of e-learning platforms on lifelong learning efforts. In an era characterized by rapid technical breakthroughs and the need for constant skill improvement, e-learning has emerged as a revolutionary force. The research investigates the role of e-learning platforms in generating accessible and individualized lifetime learning experiences. It digs into the benefits of flexibility, accessibility, and scalability afforded by these platforms, which permit individuals to learn new knowledge and skills throughout their lives. Additionally, the study analyzes the obstacles and opportunities connected with e-learning, including concerns about digital equity and the opportunity for greater global connectivity. By evaluating the influence of e-learning platforms on lifetime learning, this chapter provides significant insights for educators, policymakers, and lifelong learners alike.
African Mobile Students' Experiences With Distance Learning in Morocco
Authors: Ibourk Aomar , Elouaourti Zakaria
Published: October 2024

The article aims to analyze the perceptions of sub-Saharan students in Morocco towards distance learning platforms that were developed during the COVID-19 pandemic. To gather students' opinions, a survey was conducted to assess their access, limitations, usage and quality of the platforms provided by the Moroccan higher education system. The COVID-19 pandemic and its related measures resulted in several difficulties, mainly regarding travel restrictions, course attendance, funding issues, and complicated administrative procedures. The results of the survey indicate that 53% of the students in the sample faced challenges during the crisis. Among these difficulties, 31% of the students were unable to attend distance learning courses due to various reasons. 64% of the students had difficulty accessing logistical resources, while 29% did not have access to the internet. Inequalities in access are prevalent, with doctoral students facing the most obstacles at 84%, followed by women at 65%, and students in private higher education institutions at 66.7%.
Anarchism and Heterarchy Rethinking Governance in a Postinternational Era
Authors: Cheok Adrian David
Published: October 2024

This chapter explores the intersection of anarchism and heterarchical frameworks in the context of global governance, arguing that anarchistic principles provide valuable insights into the evolution of governance structures beyond the nation-state. By analyzing the theoretical underpinnings of anarchism and their applicability to heterarchical systems, this chapter illustrates how decentralized and non-hierarchical models can effectively address contemporary global challenges. It examines case studies of non-state actors and transnational movements that embody anarchistic principles, demonstrating their impact on global governance. The chapter further discusses the role of technology in facilitating anarchistic and heterarchical dynamics, shedding light on the reconfiguration of power dynamics and the challenges of legal governance in a postinternational world. Through a comprehensive analysis, this chapter contributes to the discourse on alternative governance frameworks, offering practical implications for future diplomacy and statecraft in a heterarchical global order.
Crisis Management in Global Health
Authors: Lange Thomas
Published: October 2024

This article is focusing on the development of heterarchical structures in the field of global health. It addresses the question to what extent heterarchical structures promote or inhibit crisis management of epidemic outbreaks. Essentially, heterarchy does both: in the health crises analyzed in this article, both fragmented and cooperative heterarchy are evident. While fragmented heterarchy is characterized by little cooperative interaction between relevant groups of actors and contestation, the second form of heterarchy - cooperative heterarchy - is characterized by collaborative problem-solving. This is based on the governance mode of orchestration, in which the WHO, as the leading actor (orchestrator), directs groups of actors (intermediaries), thereby achieving common goals in the form of crisis management in the interests of all. Orchestration is possible here on the basis of networks that can be activated and a fairly large problem-solving constraint (crisis management).
From Colonialism to Heterarchy
Authors: Ramjit Dana-Marie
Published: October 2024

The Caribbean landscape is intertwined with threads of resilience, cultural richness, and a complex history marked by colonialism. The legacies of European domination continue to cast long shadows, shaping power structures and social relations across the region. Postcolonial scholarship has illuminated the enduring impact of colonialism on power dynamics, economies, and cultural identities (Parashar, & Schulz, 2021; Said, 1978; Anzaldúa, 1987). Colonial administrations established centralized control, privileging European elites, and marginalizing Indigenous and African populations. These hierarchies continue to influence land ownership patterns, political structures, and even social interactions in many Caribbean nations (Beckles, 2000; Ramjit, 2019). Heterarchy offers a compelling alternative to these entrenched power structures. Defined by anthropologists like Descola (2001) as a system that prioritizes collaboration and distributed power, heterarchy challenges the notion of a single, dominant authority.
Dialogue and Dissonance
Authors: Ghosh Soumya Sankar , Roychowdhury Debadatta
Published: October 2024

This chapter explores the intricate role of language in shaping educational philosophies and social structures through a detailed examination of how linguistic diversity impacts academic outcomes and fosters inclusive educational environments. Employing a quasi-experimental design, the study analyzed data from 229 middle school students across 10 schools in Madhya Pradesh, employing both standardized academic tests and student integration surveys administered over a six-month period in 2023. It underscores the importance of integrating linguistic diversity into educational settings, not merely as a means to enhance academic achievement but also as a critical factor in cultivating equitable and inclusive social structures. These findings advocate for educational policies that promote multilingualism and inclusivity, reflecting the growing recognition of linguistic diversity as a valuable resource in shaping enlightened and cohesive societies.
Integrating Global Practitioner Research Methodologies in the NBA
Authors: Sri R. Ramya , Aravind S. , Ghamande Manasi Vyankatesh , Bhonsle Mansi , Saravanan P.
Published: October 2024

This chapter explores how the National Board of Accreditation (NBA) can use international research methods to boost its productivity and impact. It shows how worldwide techniques can improve the accreditation process, which leads to better educational standards and more thorough checks of institutions. The chapter stresses how important it is for different cultures to work together, use data-driven plans, and follow proven practices to fine-tune accreditation rules ways of evaluating, and support systems for schools and colleges. By using different research approaches from across the globe, the NBA can keep getting better and coming up with new ideas and creating an accreditation system that looks to the future. Bringing in views from around the world helps the NBA set higher goals for education quality and how institutions perform. This chapter acts as a roadmap to use global research know-how to make the NBA's accreditation processes stronger, which in the end helps raise educational standards and results in India and other countries.
The Impact of AI Integration on Business Processes Over the Next Five Years
Authors: Waite Pritchard Aldurae Rascheed , Torres Esmeralda Camile Camile Ortiz , Taherdoost Hamed
Published: October 2024

Businesses are integrating artificial intelligence (AI) into their business processes, and this integration will usher in a transformative era over the next five years, thus reshaping the landscape of industries worldwide. The research aims to explore AI's impact on businesses, encompassing efficiency gains, strategic decision-making, and innovation. AI aims to streamline operations, automate routine tasks, and enhance productivity; therefore, organizations are embracing AI-driven analytics to help gain the ability to extract valuable insights from vast datasets. This helps with their data-driven decision-making and helps them gain a competitive edge. The study aims to explore the challenges and opportunities that AI integration presents in the next five years. These include workforce adaptation, ethical considerations, and the potential disruptions to traditional business models. It aims to anticipate that there will be a shift towards collaborative human-AI workflows, where AI augments human capabilities instead of replacing them.
HR Analytics and Innovation
Authors: Parker Gifty
Published: October 2024

This chapter explores power dynamics, language use, and inclusivity in HR analytics and innovation, impacting organizational change. Utilizing theorists like Foucault and Derrida and analytical frameworks such as CDA, PDA, and MCDA, it reveals how HR professionals shape meaning. For example, CDA critiques power structures, revealing how language reinforces hierarchical relationships. PDA highlights multiple interpretations, challenging dominant narratives. MCDA facilitates inclusive approaches, navigating communication nuances. Through narrative examination, the study uncovers strategic deployment of visual elements and linguistic strategies. It offers practical insights for HR practitioners and policymakers, ensuring inclusivity in platform design and fostering collaboration in open innovation. This research contributes novel perspectives on transformative potential within HR analytics and innovation, emphasizing the importance of adopting inclusive approaches to drive organizational innovation.
The Role of Government Support in R&D and Economic Diversification Across Global Economies
Authors: Polanco Angel Marie , Castanho Giovana Batista De Almeida , Taherdoost Hamed , De La Luz Samantha Sanchez , Zapien Alejandro Moreno , Terzi Rios Joaquin Alberto , Medina Nicole Solange Molina , Moreira Rodrigo Enrique Romero , Reconco Cesar Augusto Garcia , Kaur Taranjeet , Comin Giovany
Published: October 2024

This chapter explores the pivotal role of research and development (R&D) in driving economic growth and diversification, with a particular focus on the Gulf States and a comparative analysis of various global economies. It begins by examining the historical reliance of the Gulf States on oil and their current transition towards innovation-driven economies. The chapter outlines key government initiatives in Saudi Arabia, the UAE, and Qatar, evaluating their impacts on economic diversification and growth. The analysis then shifts to a comparative study of R&D investment and its effects on GDP growth across different regions. It covers Southeast Asia, East Asia, North America, and Southern Europe, offering insights into how government policies and funding mechanisms influence innovation and economic performance. By contrasting the experiences of countries like Singapore, Australia, Japan, China, Mexico, the United States, Canada, Spain, France, and Portugal, the chapter highlights successful strategies and common challenges.
Navigating the Role of Artificial Intelligence in Post-Secondary Educational Spaces
Authors: Sommer Tatum Joy
Published: October 2024

Within this chapter, the author will address the multifaceted nature of artificial intelligence (AI), a machine's ability to simulate the human mind. The author evaluates generative AI and its pros, cons, and reliability. First, the author examines AI's effect on essay writing in higher-level education. Then, the author explores how preservice teachers can be equipped to address and implement proper usage in the classroom. The author includes literature reviews of scholarly texts that help address the research question: How do English professors and teacher educators negotiate AI as a tool for essay writing and teaching? The author will evaluate data through a theoretical framework that analyzes and assesses emergent data and is supported by pedagogical anecdotes. This framework is designed to guide teachers in their own evaluation of AI in the writing process. The findings will help equip teacher educators with tools to implement AI within their classrooms and identify the proper usage of AI for essay writing in higher education. The findings are designed to assist university boards, teacher educators, and preservice teachers in making informed decisions regarding AI in postsecondary classrooms.
Understanding LMS Usage in Higher Education
Authors: Thomas Juby , Menon Vishnu Achutha , Sateesh Kumar T. K. , Thomas Lijo P.
Published: October 2024

This chapter employs a quantitative survey methodology utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire as the primary research instrument. The questionnaire was administered to 363 students in higher education institutions across Karnataka, India, representing diverse demographic backgrounds. Purposive sampling was employed to ensure the inclusion of students from various geographic settings within Karnataka. Data collection took place over five months, from January 2023 to May 2023, using online surveys administered through Google Forms. It examines the mediating role of psychological, socio-demographic (gender, location, education), and economic/behavioural (pattern of use and purpose of use) variables. Independent variables, including Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), were tested for their impact on dependent variables, Behavioural Intention (BI), and Attitude toward using technology (AT).
Chatbots in Hospitality
Authors: Srivastava Praveen , Rodiris Lord Jan
Published: October 2024

The integration of artificial intelligence (AI) into customer service has revolutionized various industries, with the hospitality sector being a significant beneficiary. Among AI applications, chatbots have emerged as a vital tool for enhancing customer engagement and satisfaction. This chapter explores the role of chatbots in shaping tourist behavior, focusing on a comparative analysis between Indian and Filipino travelers. Utilizing quantitative analysis through SmartPLS (Partial Least Squares Structural Equation Modeling), this seeks to decode the intricate factors influencing tourist behavior and the effectiveness of chatbots in the hospitality sectors of India and the Philippines.
Governance, Administration, and Leadership for an Inclusive, Innovative, and Technology-Enabled Distance Education Institution in a Developing Nation
Authors: Anjana Anjana , Mukerji Siran
Published: October 2024

With an expansion of the network and infrastructure of higher education institutions including distance education institutions in post-independent India, the country has one of the largest higher education systems in the world. This network of open and distance education institutions along with the conventional education system caters to the educational needs of the populace of the nation. Indira Gandhi National Open University, with its national jurisdiction and overseas outreach has more than 3.7 million students on roll and has been actively providing educational opportunities and fulfilling the mandate of democratization, quality, and inclusivity in higher education. The university has devised, adopted, and implemented new and latest methods of teaching and learning in synchronization with the technological advancements. The mammoth task of providing quality educational opportunities to its huge population poses a number of challenges to the educational leadership of the HEIs. In this chapter, an attempt has been made to provide a detailed insight into the distance education institutions scenario of India, highlight the characteristic features of governance and organizational framework of Indira Gandhi National Open University, focus on technological interventions introduced by the university for inclusive education, and discuss the challenges faced by higher educational institution leaders for transforming to an innovative technology-enabled distance educational institution.
Enhancing Efficiency and Accountability
Authors: Vettriselvan R. , Rajesh Deepa , Swadhi R. , Velmurugan Palanivel Rathinasabapathi , Arunkumar S.
Published: October 2024

Effective public financial management (PFM) is essential for the sustainable operation and advancement of higher education institutions. This chapter delves into innovative strategies for enhancing PFM within higher education, emphasizing the need for increased efficiency and accountability. It explores best practices in budgeting, resource allocation, and financial oversight, and addresses the challenges institutions face in adapting to modern financial management systems. The chapter also highlights the role of transparency and effective resource utilization in achieving institutional objectives. By reviewing contemporary approaches and successful case studies, this chapter provides actionable insights and recommendations for policymakers and administrators to optimize financial management practices in higher education, ultimately contributing to better institutional performance and sustainability.
Collaborative Governance and Public Administration Effectiveness in South Africa Through a Multidisciplinary Approach
Authors: Ngo-Ndjama Joelle D. , AJANI OLUWATOYIN AYODELE
Published: October 2024

This chapter presents a systematic literature review analyzing the role of collaborative governance in enhancing public administration effectiveness in South Africa. Given the complex socio-political landscape, collaborative governance is essential for improving public service delivery and advancing the public good. The review synthesizes academic literature from various fields, including administrative law, political science, sociology, economics, and management studies, to offer a comprehensive multidisciplinary perspective. It identifies key public administration models in South Africa, examining how they facilitate inter-institutional cooperation and address community needs. The findings indicate that effective collaborative governance correlates with improved public service efficiency, equity, and fairness. Challenges such as bureaucratic inertia and lack of transparency are discussed, with policy reform recommendations to promote inclusive governance practices.
Capacity Building and Skills Development in Public Administration Management for Higher Education
Authors: Pant Pawan
Published: October 2024

In the context of public administration management within higher education institutions, this chapter explores the crucial elements of capacity building and skills development. It examines how academic and administrative staff members must continually learn and develop their skills to adapt to the ever-changing world of education. This chapter looks at ways to help staff, administrators, and faculty members enhance their skills and capacities by using theoretical frameworks and real-world examples. It also examines how institutional support structures, collaborative efforts, and professional development programs contribute to the creation of a lifelong learning and competency-enhancement culture in higher education. This chapter presents best practices and practical ideas to handle the changing needs and complexity of public administration management in academia via case studies and empirical data.
Exploring the Relevance of Traditional Leaders in Enhancing Service Delivery at Local Government
Authors: Dlamini Nompumelelo
Published: October 2024

Traditional leadership has usually been a cornerstone in municipalities, providing structure and aiding in decision-making processes within communities. However, the significance of traditional leadership in contemporary municipalities has become more uncertain and contentious, while some believe that traditional leaders are essential for upholding cultural norms and unity within communities, others raise doubts about the legitimacy and effectiveness of their governance over local matters. Section 6 of the Municipal Structures Act allows for the involvement of traditional leaders in municipal councils, often traditional leaders are frequently viewed as representatives of the marginalized groups within society giving them a platform to advocate for the rights and interests of their constituents. Traditional leaders have played a vital role in facilitating communication between government institutions and grassroots communities, acting as intermediaries in negotiations with municipal authorities.
The Origins of Structural Reform
Authors: Yigit Sureyya
Published: October 2024

The 1970s witnessed economic programs aimed to help governments refinance their debts owed to the American international banking system by ending the Bretton Woods system and the gold-dollar peg. These programs required debtor states to open up their markets and privatize state-owned companies, ultimately strengthening the power of international financial institutions and promoting a more neoliberal economic approach in many parts of the world. As part of these efforts, many laws restricting the private sector were repealed, government spending was curbed and refinanced through credit policy, trade restrictions were reduced, and the exchange rate was devalued. This period also saw the abolishment of collective labour rights, introducing or increasing subsidies for companies, and tax relief for these businesses with deregulated pricing policies. International financial institutions such as the World Bank and the International Monetary Fund advocated structural adjustment for developing countries to overcome economic distress. This chapter focuses on the origin of these policies.
Causality Relationship between Inflation and Interest Rate
Authors: Ceylan Fatih , Erkan Birol
Published: October 2024

The study aims to reveal the causality relationship between inflation and interest rates in general and for G20 countries in particular. In this context, the study analyses the bidirectional relationship between inflation and interest rates using monthly data for the period 2000-2022, using causality methods based on traditional and Fourier functions that capture structural breaks gradually or smoothly. According to the test results of the traditional Granger causality analysis, while there is a bidirectional causality relationship between inflation and real interest rates in the panel data of G-20 countries, causality relationships change when structural breaks based on Fourier functions are taken into account. With the increasing global inflation in recent years, it is considered important for central banks aiming for price stability to take into account the changing relationship between inflation and interest rates.
Quality or Quantity?
Authors: Inanc Ozlem
Published: October 2024

This study examines the link between human capital and sustainable economic growth, highlighting the contradiction of rising university education without improved graduate employability in Turkiye from 2014 to 2023. It notes high unemployment among university graduates, indicating a disconnect between the skills provided by educational institutions and job market demands. The rapid growth in universities and graduates has not matched the increase in high-skilled job opportunities, leading to skill mismatches and underemployment, especially during economic downturns. The paper calls for a reassessment of educational strategies towards a quality-focused education that prioritizes practical skills and market needs, emphasizing university-industry collaborations to boost graduate employability and ensure higher education's role in fostering economic resilience and growth.
Is There a Relationship between Financial Stability and Macroeconomic Variables?
Authors: Çelik Burcu Savaş
Published: October 2024

Financial stability has many determinants. These include various macroeconomic variables, the soundness and infrastructure of financial institutions, and the monetary policies pursued. This study aims to examine the relationship between financial stability and economic growth, interest rates, inflation rates, and interest rates of OECD member countries Z-score provides important information about the financial stability of a country's banking system by comparing its capital and returns and the volatility of returns. The study's data set consists of 15 OECD constituent countries. The data range of the study was determined as the period 2000 - 2021. Panel data analysis is used in this study. Dumitrescu and Hurlin causality test results from gross domestic, inflation, and interest rate variables to the Z-score. Also, there is bi-causality from the Z-score to gross domestic, inflation, and interest rate variables.