bluuebunny/crossref_metadata_2025 huggingface dataset:
Leadership Practices among Women’s and Children’s Protection Desk in Southern Negros Occidental, Philippines
Authors: Genova Elenuel T. , R. Moreno Raymunda
Published: August 2024

The study determined the leadership practices of Chiefs of Women and Children Protection Desk from six PNP stations in Southern Negros Occidental through self and peer assessment. Using Kouzes and Posner’s Leadership Practices Inventory, the study explores five key areas: modeling the way, inspiring a shared vision, challenging the process, enabling others to act, and encouraging the heart. Two questionnaires – the self and peer inventory, were prepared based on two types of respondents – the Chiefs and their peers. The result shows that the Chiefs earned high scores from their self- and peer-inventoried leadership practices. Statistics show a significant difference between enabling others to act self-inventoried and inspiring a shared vision of peer- inventoried and modeling the way of self-inventoried and allowing others to act of peer-inventoried leadership practices. Such difference may be attributed to the distances between the ages and ranks of Chiefs of Women and Children Protection Desk. Recommendations include enhancing feedback mechanisms, communication training, innovation support, decision-making empowerment, and recognition programs to align self-perceptions with peer observations and enhance leadership effectiveness. Future studies on leadership practices based on other concepts and theories shall be conducted since the present study is limited only to the idea presented by Kouzes and Posner (2007).). Also, regular feedback sessions or seminars/trainings should be held to ensure that chiefs and peers can openly discuss performance and expectations, and lastly, to empower peers in making decisions and taking ownership of their work.
Human Resource Planning and Budgeting Process in Government Health Institutions in Kenya: A Case Study of Magutini Level Four Hospital
Authors: Mbaka Nancy Kathure Mbaka , Nyaloti Laura Nyaloti
Published: August 2024

Human resource planning is a crucial component of HRM that many businesses use to make sure the best employees are hired for the proper positions with the correct skills and knowledge. In terms of efficiency, service delivery, and product quality, this is particularly true. Budget discrepancies persistently persist during the implementation. Planning for human resources typically reflects the effectiveness of a certain institution's performance, which depends on it. To determine the human resource planning and budgeting processes in government health institutions in Kenya, Magutini Level Four Hospital was study focus. The study examined, employee retention, and staff training, The study's major anchor theory was goal-setting theory, which is backed by institutional and human capital theory. The study's foundation was a positivist research paradigm that used a study design that was descriptive. The researcher intended to reach 750 respondents; however, secondary data was employed in the literature study, and 260 respondents were chosen as the sample size by the use of stratified random sampling and administered questionnaires. Findings were examined using descriptive statistics (standard deviation, percentages, and frequencies), and the data were shown using tables. To show how the study variables related to one another, inferential statistics were used. The Pearson correlation can assist in determining the direction and strength of the relationship between the variables. Regression analysis showed a substantial correlation and a link between training, development, and performance. Employee retention and the budgeting process were significantly correlated and linked. The research study makes the following suggestions for enhancements to the management and board of directors of the Magutini Level 4 Hospital: The administration of Magutini Level 4 Hospital has to invest in its people. Training and development expenditures are crucial for building human capital, and top management must support this by providing the required funds. HRM initiatives are important in this, but they won't be able to flourish if top management of the company doesn't actively support them. The study's conclusions suggest that the company's executives should provide adequate funding for HRD and the budgeting procedure. Periodic cost estimates are required for every job in the plan in order to make sure that funds are used as efficiently as feasible.
Evaluation of the Factors Influencing the Occurrence of Varicocele in Males Aged 15-35 in Mogadishu, Somalia
Authors: Hassan Ibrahim Abdirahman Moalim Hassan Ibrahim , Holds Ibrahim Holds
Published: August 2024

Testicular varicoceles, a common condition characterized by the dilation and enlargement of veins within the scrotum, are predominantly found in the adolescent and young adult age group. This condition can adversely affect testicular function in various ways, including decreased sperm production, reduced sperm quality, and even testicular atrophy. The prevalence of varicoceles varies across different regions, with estimates ranging from 15-20% in Somalia and other parts of Africa, 10-15% in Asia, and 15-20% in the United States and other parts of America. In the small island nation of Erub, the incidence is relatively lower, at around 5-10% of the male population. The exact etiology of varicoceles is not fully understood, but it is believed to be related to a combination of factors, such as genetic predisposition, anatomical abnormalities, and environmental influences. Certain risk factors, including obesity, sedentary lifestyle, and exposure to high temperatures, have been associated with an increased risk of developing varicoceles. While varicoceles can adversely affect testicular function and fertility, it is important to note that not all individuals with varicoceles experience fertility-related problems. The management of varicoceles often involves a multidisciplinary approach, with close monitoring and periodic evaluation being the recommended approach for asymptomatic individuals. In cases where varicoceles are causing symptoms or affecting fertility, various treatment options, such as surgical repair (varicocelectomy) or percutaneous embolization techniques, may be considered. Understanding the prevalence, etiology, and management strategies of varicoceles is crucial for healthcare professionals to provide appropriate care and support for individuals affected by this condition.
An Eco-Friendly and Low Cost IoT based Room Temperature Control by Fan Speed Regulation for Tropical Use
Authors: Eunice Akin-Ponnle Ajibike
Published: August 2024

This work presents an Internet of Things (IoT) based room temperature monitoring and control system by fan speed regulation developed for use in rooms of tropical regions of West Africa. In this work, cutting-edge technologies were integrated, including IoT, and cloud- based monitoring to create a system capable of dynamically remote controlling fan speed based on real- time temperature data. The Dallas DS18B20 Waterproof Temperature Sensor serves as the cornerstone for accurate temperature monitoring. A Microcontroller (Node MCU ESP8266) with Wi-Fi Module facilitates IoT connectivity, allowing users to remotely monitor and control the system through the Blynk Cloud and the Blynk App. A 12V DC table fan, driven by a MOSFET which is being controlled through Pulse Width Modulation (PWM) by the microcontroller, enables fine- tuned speed adjustments. A 16x2 LCD display provides real-time feedback on current temperature and fan speed percentage, enhancing user awareness. The microcontroller programming involves the implementation of an adaptive algorithm for dynamic fan speed control based on the room temperature, user settings and some preset parameters conditioned for tropical region of West Africa. By dynamically adjusting fan speed based on real-time temperature data, the system optimizes energy consumption, providing sustainable and eco-friendly solutions. The circuit was designed and simulated in Proteus software, the code was written in Arduino IDE, tested on breadboard, implemented finally on Veroboard and all fitted inside a suitable box. After testing the system, it worked as expected and it was observed that the fan speed increases as the room temperature increases and vice versa. Also, the fan speed depends both on the room temperature and the set threshold value. It was also observed that the speed of the fan is at its maximum when the temperature is above 40°C. Thus, the developed system is good for room temperature control in the tropical region of West Africa.
ABULOY: Varied Expressions of Sympathy, Empathy and Apathy
Authors: DELA TORRE EVELYN C.
Published: August 2024

The present study aimed to determine and explore the cultural value of abuloy in the Filipino culture and also determine its significance to the concept of fellowmen among Filipinos. It also asked specific questions regarding the context of abuloy in the Filipino culture; forms, gestures or expression that can be shown in times of family’s grieving in terms of being expressed with sympathy, empathy, apathy; giving of abuloy of Filipinos during the wake and after bereavement; how Filipinos are guided by cultural beliefs and practices in giving abuloy; changes in the cultural meaning and social recognition for the giving of abuloy; the different factors affecting the act of giving abuloy and also how the findings of thispresentstudy can contribute to an additional learning material. The study made use of the mixed method of research approach particularly with the use of the interview form and survey questionnaire as the primary tools for the data gathering process of the study. The findings of the study revealed that abuloy in the context of Filipino culture was mostly embedded on the idea of a financial assistance provided to the bereaved family and as an act of compassion and condolence; on the other hand, in terms of sympathy, thisis mostly expressed in considering the grief circumstances in which the bereaved family is currently going through; further, with regards to empathy, this is understanding the way in which a family feels when grieving; and finally, in terms of apathy, this is more expressed on being unaffected by the grief of the bereaved family. The participants also indicated that there was really no binding tradition that guides them in giving abuloy as long as it is based on having the intention to show compassion, in line with their financial capacity and budget; out of kindness and also to at least help the bereaved family with their present suffering. It can be concluded that most Filipinos express non-belief and non-adherence to common practices and beliefs, but they are increasingly reliant on the idea that providing or giving "abuloy" to the bereaved family is a form ofsocial obligation that everyone should fulfill in order to show compassion and care for other people's difficult situations.
Dublin-Printed Elegies of the 1720s
Authors: CARPENTER ANDREW
Published: August 2024

Surprising numbers of small-scale printers were active in Dublin in the 1720s. The period of relative calm that followed the Battle of the Boyne in 1690 enabled trade of all kinds to flourish in Ireland and the number of booksellers active in Dublin increased considerably during the first quarter of the eighteenth century. But so did the number of readers: their wants were supplied partly by books and pamphlets imported from England but also by material printed in Dublin. The range of such material was wide and included not only books and proclamations but large amounts of local verse, much of it printed on single-sided broadsheets. An interesting category of this Dublin-printed material is the verse elegy, over a hundred examples of which survive. This article provides an overview of the existing corpus of Dublin-printed elegies before considering two of them in detail. One is a loyalist elegy for King George I and the other an elegy for the hero of the Irish Jacobites, the Duke of Ormond. The article describes these two very different elegies and the cultures from which they sprang.
William Paulet Carey and Irish Caricature, 1780–92
Authors: KELLY JAMES
Published: August 2024

Though best known for his involvement with the United Irishmen and his brief career as a newspaper editor, William Paulet Carey (1768–1848) was one of the first, and most interesting practitioners of graphic satire in Ireland during its inaugural phase. Having demonstrated his potential with an artistically indifferent caricature of the Gordon Riots in 1780, he acquired a fuller knowledge of the craft engraving copy plates for William Allen, then Dublin’s primary print seller. Subsequently, Carey sought, unsuccessfully, to make his mark in London in 1783–84, though he did produce a number of distinctive engravings in the Whig cause. Back in Dublin, he resumed his relationship with William Allen, in the course of which he produced a series of superior copies of William Bunbury’s single sheets and smaller engravings for a Dublin edition of the Geoffrey Gambado’s
Annals of Horsemanship
. Carey possessed strong political opinions, and having manifested his unease at the energizing of Irish conservativism with caricatures critical of the advocates of ‘Protestant Ascendancy’ in 1786–87, he prioritized literary satire until the early 1790s when he joined the United Irishmen and established a radical newspaper. However, his failure, other than on one occasion, to use his artistic skills in the radical cause deprived Irish radicalism of a potentially important means of promoting their cause.
Diversity is not inclusion: a four-dimensional approach to corporate creative-intensive ecosystems
Authors: Josgrilberg Fabio B. , Hashiba Luciana
Published: August 2024

This paper aims at presenting a four-dimensional approach to studying and managing creative-intensive ecosystems, namely flows, spaces, temporalities, and processes. The study departs from a sociocultural approach and draws on the authors’ qualitative research on innovation management, historical facts, and related studies on creativity. The research corpus includes 11 semi-structured interviews (13 hours and 37 minutes) with innovation managers with experience in large companies in Brazil and interpreted with a framework analysis technique. The text concludes that the potential of corporate creative processes lies in their ability to manage communication flows, spaces, temporalities, and processes that allow for systemic differentiation between more conservative social arrangements. The dimensions are deductively implied from the results of the framework analysis.
An analysis of the Indian Economy during the three COVID-19 pandemic waves
Authors: Baber Hasnan , Shaik Muneer , Gupta Himani
Published: August 2024

The objective of the study was to examine the effects of the COVID-19 pandemic on India’s economy. The analysis focused on several economic metrics, including stock market prices, the rupee’s value in relation to the US dollar, economic activity, the unemployment rate, and the rate of inflation. Contrary to popular belief, the results demonstrate that during the first wave (25 March 2020 to 16 September 2020), the increasing number of cases had a beneficial influence on economic activity and a negative impact on the unemployment rate. The second wave, which lasted from 15 March 2021 to 17 July 2021, was considerably stronger and demonstrated how confirmed instances had a significant detrimental impact on inflation rates and stock values. Contrary to expectations, the third wave (December 28, 2021, to January 30, 2022) was found to be less intense. Overall, the report shows how the pandemic affected India’s economy during each of the three waves and notes that there have been encouraging signs of recovery during the return to normalcy phase. The government, scholars, policymakers, and economists will find this study useful in understanding how the COVID-19 Pandemic affected the Indian economy and in coming up with ideas for future risk mitigation measures.
Evidence for a Shallow Evolution in the Volume Densities of Massive Galaxies at z = 4–8 from CEERS
Authors: Chworowsky Katherine , Finkelstein Steven L. , Boylan-Kolchin Michael , McGrath Elizabeth J. , Iyer Kartheik G. , Papovich Casey , Dickinson Mark , Taylor Anthony J. , Yung L. Y. Aaron , Arrabal Haro Pablo , Bagley Micaela B. , Backhaus Bren E. , Bhatawdekar Rachana , Cheng Yingjie , Cleri Nikko J. , Cole Justin W. , Cooper M. C. , Costantin Luca , Dekel Avishai , Franco Maximilien , Fujimoto Seiji , Hayward Christopher C. , Holwerda Benne W. , Huertas-Company Marc , Hirschmann Michaela , Hutchison Taylor A. , Koekemoer Anton M. , Larson Rebecca L. , Li Zhaozhou , Long Arianna S. , Lucas Ray A. , Pirzkal Nor , Rodighiero Giulia , Somerville Rachel S. , Vanderhoof Brittany N. , de la Vega Alexander , Wilkins Stephen M. , Yang Guang , Zavala Jorge A.
Published: August 2024

We analyze the evolution of massive (log10[M
⋆/M
⊙] > 10) galaxies at z ∼ 1–4 selected from JWST Cosmic Evolution Early Release Survey (CEERS). We infer the physical properties of all galaxies in the CEERS NIRCam imaging through spectral energy distribution (SED) fitting with dense basis to select a sample of high-redshift massive galaxies. Where available we include constraints from additional CEERS observing modes, including 18 sources with MIRI photometric coverage, and 28 sources with spectroscopic confirmations from NIRSpec or NIRCam WFSS. We sample the recovered posteriors in stellar mass from SED fitting to infer the volume densities of massive galaxies across cosmic time, taking into consideration the potential for sample contamination by active galactic nuclei. We find that the evolving abundance of massive galaxies tracks expectations based on a constant baryon conversion efficiency in dark matter halos for z ∼ 1–4. At higher redshifts, we observe an excess abundance of massive galaxies relative to this simple model, resulting in a shallower decline of observed volume densities of massive galaxies. These higher abundances can be explained by modest changes to star formation physics and/or the efficiencies with which star formation occurs in massive dark matter halos, and are not in tension with modern cosmology.
Formation of Galactic Disks. II. The Physical Drivers of Disk Spin-up
Authors: Semenov Vadim A. , Conroy Charlie , Chandra Vedant , Hernquist Lars , Nelson Dylan
Published: August 2024

Using a representative sample of Milky Way (MW)–like galaxies from the TNG50 cosmological simulation, we investigate physical processes driving the formation of galactic disks. A disk forms as a result of the interplay between inflow and outflow carrying angular momentum in and out of the galaxy. Interestingly, the inflow and outflow have remarkably similar distributions of angular momentum, suggesting an exchange of angular momentum and/or outflow recycling, leading to continuous feeding of prealigned material from the corotating circumgalactic medium. We show that the disk formation in TNG50 is correlated with stellar bulge formation, in qualitative agreement with a recent theoretical model of disk formation facilitated by steep gravitational potentials. Disk formation is also correlated with the formation of a hot circumgalactic halo with around half of the inflow occurring at subsonic and transonic velocities corresponding to Mach numbers of ≲2. In the context of recent theoretical works connecting disk settling and hot halo formation, our results imply that the subsonic part of the inflow may settle into a disk while the remaining supersonic inflow will perturb this disk via the chaotic cold accretion. We find that disks tend to form when the host halos become more massive than ∼(1–2) × 1011
M
⊙, consistent with previous theoretical findings and observational estimates of the predisk protogalaxy remnant in the MW. Our results do not prove that either corotating outflow recycling, gravitational potential steepening, or hot halo formation cause disk formation, but they show that all these processes occur concurrently and may play an important role in disk growth.
Apparently Ultralong Period Radio Signals from Self-lensed Pulsar–Black Hole Binaries
Authors: Xiao 肖 Xinxu 欣旭 , Shen 申 Rong-Feng 荣锋
Published: August 2024

Pulsar–black hole (BH) close binary systems, which have not been found yet, are unique laboratories for testing theories of gravity and understanding the formation channels of gravitational-wave sources. We study the self-gravitational lensing effect in a pulsar–BH system on the pulsar’s emission. Because this effect occurs once per orbital period for almost edge-on binaries, we find that it could generate apparently ultralong period (minutes to hours) radio signals when the intrinsic pulsar signal is too weak to detect. Each of such lensed signals, or “pulse,” is composed of a number of amplified intrinsic pulsar pulses. We estimate that a radio telescope with a sensitivity of 10 mJy could detect a few systems that emit such signals in our Galaxy. The model is applied to three recently found puzzling long-period radio sources: GLEAM-X J1627, PSR J0901-4046, and GPM J1839-10. To explain their observed signal durations and periods, the masses of their lensing components are estimated as ∼104
M
⊙, ∼4 M
⊙, and 103−6
M
⊙, respectively, with their binary coalescence times ranging from a few tens to thousands of years. However, the implied merger rates (as high as ∼103−4 Myr−1 per galaxy) and the large period decay rates (>10−8 s s−1) tend to disfavor this self-lensing scenario for these three sources. Despite this, our work still provides observational characteristics for self-lensed pulsar–BH binaries, which could help the detection of related sources in the future. Finally, for a binary containing a millisecond pulsar and a stellar-mass BH, the Shapiro delay effect would cause a ≥10% variation of the profile width for the subpulses in such lensed signals.
On the (Higher Multipoles) Variance Asymmetry in the Cosmic Microwave Background
Authors: Jamshidi MohammadHossein , Banihashemi Abdolali , Khosravi Nima
Published: August 2024

We have studied the cosmic microwave background (CMB) map looking for features beyond cosmological isotropy. We began by tiling the CMB variance maps (which are produced by different smoothing scales) with stripes of different sizes along the most prominent dipole direction. We were able to confirm previous findings regarding the significance of the dipole. Furthermore, we discovered that some of the higher multipoles exhibit significance comparable to the dipole that naturally depends on the smoothing scales. In the end, we discussed this result having an eye on the look-elsewhere-effect. We believe our results may indicate an anomalous patch in the CMB sky that warrants further investigation.
Ancient Nova Shells of RX Pup Indicate Evolution of Mass Transfer Rate
Authors: Iłkiewicz Krystian , Mikołajewska Joanna , Shara Michael M. , Faherty Jacqueline K. , Scaringi Simone
Published: August 2024

RX Pup is a symbiotic binary that experienced a nova outburst in the 1970s. Here we report a discovery of a ∼1300 yr old nova shell around the system and a possible detection of a ∼7000 yr old nova shell. Together with the nova shell ejected in the 1970s, this makes RX Pup the first system with three nova shells observed. This triad of eruptions suggests a change in the nova recurrence time. The most likely explanation is an alteration in the mass transfer rate attributed to evolutionary changes of the mass donor in the system. Notably, comparative analyses with theoretical models indicate an increase in the average mass transfer rate by a factor of 3 over the past 10,000 yr. This makes RX Pup a unique system, which allows us to probe millennium-scale evolution of mass transfer rates in binary systems.
Hoverflies (Diptera, Syrphidae) in a rural garden and their potential for citizen science
Authors: van der Velden Joan A.
Published: August 2024

In a rural garden in the southwest of the Netherlands, 48 species of hoverfly were observed, belonging to 28 genera. All but one species are common in the Netherlands. Gardens are a natural habitat for many hoverflies. Both species diversity and the abundance of hoverflies can be high, making hoverflies good indicators for an ecological garden health index for insects. The potential contribution of citizen science to gain more ecological knowledge of hoverflies in gardens is discussed. This study shows that photographic capture and biometrical identification are suitable for citizen science projects on hoverflies.
Global attractors for a class of viscoelastic plate equations with past history
Authors: Zhou Quan , Liu Yang , Yang Dong
Published: August 2024

This paper is concerned with a class of viscoelastic plate equations with past history. We first transform the original initial-boundary value problem into an equivalent one by means of the history space framework. Then we use the perturbed energy method to establish a stabilizability estimate. By employing the gradient property and quasi-stability of the dynamical system, we obtain the existence of a global attractor with finite fractal dimension.
Using Ordinal Priority Approach With Confidence-Level Measurement for Third-Party Logistics Provider Selection in the Tunisian Healthcare Sector
Authors: Aouadni Sourour , Aouadni Ismahene , Taghipour Atour
Published: August 2024

This study aims to present a comprehensive decision methodology for selecting a 3PL provider in the healthcare sector that assists the decision-makers in taking the most appropriate decision for selecting and evaluating the 3PL provider. The ordinal priority approach (OPA) method is used to solve this problem and estimate the weights of the experts, criteria, and 3PL providers. The authors apply the OPA method with Kendall's coefficient of concordance (W) and confidence level measurement to estimate the agreement degree or concordant degree among experts, criteria, and alternatives. The authors developed a probabilistic method of 3PL provider selection under imperfect information by employing a novel confidence level measure, guided by the philosophy of statistics and the ordinal priority approach (OPA). The authors evaluated and selected the suitable 3PL provider problem in a Tunisian hospital by using the OPA method. They considered the case of pharmaceutical products.
Harnessing Digitalization and Internet of Things for Sustainable Energy
Authors: Solaimalai Gautam , Mary S. Anitha Janet , Kamma Vidya , K. V. Malini , Karthikumar K. , Sudhakar M.
Published: August 2024

This chapter explores the relationship between digitalization, IoT, and sustainable energy, highlighting their potential in transforming the energy landscape, driving efficiency, and enabling smarter energy management. It discusses the role of data analytics, AI, and machine learning in optimizing energy systems, enhancing predictive maintenance, and enabling demand-side management. The chapter also addresses cybersecurity risks and data privacy concerns in implementing digital solutions. It calls for collaboration among stakeholders to foster innovation and accelerate sustainable energy solutions adoption. It also calls for policy frameworks to incentivize investment in digital infrastructure and IoT-enabled devices. The chapter concludes by offering recommendations for policymakers, industry leaders, and researchers to utilize digital technologies for a sustainable and equitable energy future.
The Future of Metaverse Security
Authors: Gupta Brij B. , Castiglione Arcangelo
Published: August 2024

The metaverse, an evolving digital frontier integrating VR, AR, blockchain, 5G, and quantum computing, presents both opportunities and security challenges. This chapter explores these emerging technologies, their security implications, and the innovative measures developed to mitigate associated risks. The role of AI in enhancing metaverse security is examined, highlighting effective algorithms and future prospects. Challenges in scaling security, regulatory and ethical considerations, and collaborative approaches are discussed. A vision for a secure and inclusive metaverse is proposed, emphasizing key characteristics and strategies for accessibility. The chapter concludes with essential takeaways and future directions for metaverse security.
Adaptive Models
Authors: Islam Khalid Ul
Published: August 2024

In this study, we have studied the role of artificial intelligence (AI) in the domain of portfolio management. There has been an exponential growth of AI-based models in how optimization is achieved within the mean-variance framework. We have primarily analyzed the bibliometric data for the article published on the present theme. The Scopus database was utilized to search for the articles from 2005 to 2024. The citation analysis was performed using the VOSviewer software. The study provides insights for researchers to identify sources for conducting the preliminary literature review, identify the research gaps, and develop relevant AI-based models for implementing optimization in the investment domain. Finally, we have also provided a detailed account of various AI-based models, their evolution, mapping specific models with the optimization objectives.
Development of Rural Cities Through Agricultural Marketing and Their Contribution to the Country's Economy
Authors: Eravci Abdullah
Published: August 2024

The reality of rural cities and regions in the world and in Turkey and the need for support are frequently emphasized. However, there are very few studies on the need for rural cities to support national economies. The most well-known power and valid resource for rural cities is agriculture. A magical force is needed to nurture agricultural activities and help rural cities establish their own economic order. This magical power is marketing, which has become popular in business science in recent years. The development of rural cities through marketing and the contribution of change to the national economy by starting from local communities and expanding are in line with the “bottom-up” development model. This study is aimed to draw attention to the role of agricultural marketing in rural development in the country's economy and to contribute to marketing science.
Technological Pillars of Decentralization
Authors: Bansal Divya , Bhattacharya Naboshree
Published: August 2024

Decentralized marketing platforms (DMPs) wield significant importance in shaping consumer experience and decision-making within the metaverse. Their relevance extends beyond traditional marketing approaches, offering novel avenues for engagement, empowerment, and trust-building. Decentralized marketing platforms play a pivotal role in shaping consumer experience and decision-making within the metaverse by fostering empowerment, transparency, personalization, innovation, community engagement, resilience, and inclusivity. As virtual environments continue to evolve, DMPs will remain indispensable tools for marketers seeking to forge authentic connections, drive meaningful interactions, and build sustainable relationships with their audiences in the digital realm. Decentralized systems, the backbone of these platforms, are hailed for their capacity to revolutionize marketing practices by promoting transparency, inclusivity, and autonomy.
Accelerating Financial Inclusion in Developing Economies (India) Through Digital Financial Technology
Authors: Garg Parul , Srivastava Tapsi , Goel Ankit , Gupta Nancy
Published: August 2024

The study employs a mixed-methods approach, incorporating both quantitative and qualitative methodologies. The methodology encompasses literature and the development of a system dynamics model. This model is used to identify pivotal factors or barriers within emerging economies that either impede or facilitate the transition to an inclusive financial system. Keywords and drivers are discerned through qualitative analysis of existing literature, facilitating the construction of a quantitative model. This model depicts the interplay and relative impact of identified factors on the ability of emerging economies to achieve financial inclusion. Results indicate that digital financial technologies significantly enhance financial inclusion by providing access to essential financial services for underserved populations. The study identifies ten key variables that influence financial systems. A primary challenge identified is the limited accessibility to financial services for people in developing regions. The chapter concludes with recommendations for policymakers and financial institutions.
Risk Management of Future of Defi Using Artificial Intelligence as a Tool
Authors: Sah Jyoti , Padma Satuluri , Yanamandra Ramakrishna , Irfan Mohammad
Published: August 2024

This chapter explores AI's pivotal roles in managing risks within DeFi, emphasizing strategic implementation to enhance risk assessment, management, and decision-making processes for a better user experience. The convergence of AI and DeFi presents unprecedented opportunities, fostering transparency and decentralization. Drawing from diverse sources, the study evaluates AI's effectiveness, particularly in machine learning, in addressing emerging risks. It focuses on how AI can guide DeFi's future while managing market and credit risks through tasks like data preparation, modeling, stress testing, and validation. Additionally, AI aids in data quality assurance, text mining, and fraud detection. Emphasis is placed on identifying and managing risks that could hinder DeFi's future, highlighting key AI techniques. Given the financial industry's ongoing transformation, these insights are increasingly vital.
The Autonomy of Central Banks and Digital Currency
Authors: Shamurailatpam Sofia Devi , Majeed Mohammed
Published: August 2024

Many central banks across the globe are experiencing different phases of implementation of central bank digital currencies (CBDCs) – some central banks have already initiated digital currencies or are in experimentation phases or introduced as a pilot project, each one at various operational challenges open to central banks toward building the digital currency framework. This chapter attempts to establish the state of digital currencies experienced by different economies across the world. The chapter highlights the underlying reasons behind the implementation of CBDCs by countries; the challenges and implications of the introduction of such digital currency on monetary policy; the role of CBDC in bringing societal benefits towards financial inclusion and sustainable finance; and finally, the regulatory framework set up to safeguard at the interest of national security. These inter-related issues are examined based on experiences from different economies of the world. Further, a sample study for India's CBDC development is evaluated as country specific study.
Transformative Impact of AI in Green Finance
Authors: Kumari Reenu , Sharma Komal , Kumar Rajesh , Özer Ahu Coşkun
Published: August 2024

The transformative impact of artificial intelligence (AI) in green finance is revolutionizing the landscape of sustainable development in India. This chapter explores how AI-driven technologies are enhancing the efficiency, transparency, and effectiveness of green finance initiatives. By leveraging advanced data analytics, machine learning algorithms, and predictive modeling, AI is facilitating better decision-making, risk assessment, and investment strategies that align with environmental, social, and governance (ESG) criteria. The integration of AI in green finance is not only accelerating the transition to a low-carbon economy but also promoting inclusive growth and resilience against climate change. This study highlights key case studies, technological innovations, and policy frameworks that demonstrate AI's potential as a catalyst for achieving India's sustainable development goals. Through comprehensive analysis, the chapter underscores the critical role of AI in driving systemic changes in financial practices, thereby fostering a sustainable and prosperous future for India.
The Role of Artificial Intelligence (AI) in Sustainable Marketing
Authors: Kumari Anshika , Nagariya Ramji , Lal Maureen Primrose , Joseph Sunny
Published: August 2024

The purpose of this study is to investigate and analyze the role of Artificial Intelligence (AI) in shaping and advancing sustainable marketing practices. By examining the integration of AI technologies in marketing strategies and their impact on environmental, social, and economic sustainability. The quantitative phase employs stratified random sampling of 250 respondents across various industries, utilizing an established questionnaire refined through pilot testing. Data analysis includes descriptive statistics for an overview and inferential statistics for deeper insights, such as T-tests and ANOVA. The study's conclusions provide a comprehensive understanding of how AI affects environmentally friendly advertising. This study provides unique insights by examining AI's impact on sustainable advertising through a mixed-methods approach. It offers practical implications for academia and industry, advancing understanding of AI's role in fostering sustainability in marketing strategies.
Can Human Enhancement Technologies Serve as Catalysts for Job Satisfaction in the Workplace?
Authors: Kaur Jaspreet , Preet Noble , Chahal Navdeep
Published: August 2024

The study focuses on the impact of human enhancement technologies (HET) on job satisfaction from the human resources (HR) standpoint. It starts with the introduction and history of HET considering the types, cognitive, physical, and emotional booster, and recent developments. The chapter then provides details of the theoretical constructs used in the measurement of job satisfaction, the intrinsic and extrinsic incentive stemming from work, a favourable work environment, and the organizational culture. The consequence of the analyzed augmentation technologies include cognitive ones like brain-computer interface and the impact of memory, attention, and problem-solving on physical enhancements like exoskeletons and prosthetics, and emotional technologies for stress management and well-being.
AI Integration in HR Processes
Authors: Subrahmanyam Satya
Published: August 2024

This chapter explores the integration of artificial intelligence (AI) in human resources (HR) processes, examining its evolution, current applications, and future implications. Beginning with a definition of AI in HR, including machine learning and predictive analytics, it highlights AI's role in enhancing efficiency, decision-making, and employee experiences. The chapter delves into specific applications across recruitment, onboarding, training, performance management, and employee engagement, showcasing AI's transformative impact. Ethical considerations such as bias mitigation, data privacy, and human-AI collaboration are also discussed. Ultimately, it emphasizes AI's potential to revolutionize HR practices while advocating for responsible adoption and ongoing professional development in HR professionals.
Changing Paradigms and Perspectives in Curriculum
Authors: Dilekli Yalçın , Tezci Erdoğan , Yünkül Eyup
Published: August 2024

Curriculum development shapes educational values, information, and skills, evolving through classical, modern, and postmodern paradigms. The classical paradigm, rooted in Greek and Roman values, emphasized virtue, moral education, and cultural legacy, focusing on literature, philosophy, mathematics, and physical education. The modernist paradigm shifted to positive sciences, emphasizing cognitive skills, critical thinking, and subject specialization, with teachers acting as facilitators. The postmodern paradigm criticizes the modernist focus on empirical assessments and teacher autonomy reduction, advocating for a flexible, pluralistic curriculum. This field is broad and complex, often described as confusing due to its interdisciplinary nature, requiring an understanding of sociology, psychology, economics, and epistemology. In summary, curriculum studies encompass a wide range of ideas and approaches, shaped by historical paradigms and contemporary challenges.
Cognitive Structures and Their Place in Science Education
Authors: Yıldırır Hasene Esra , Kızmaz Nesrin
Published: August 2024

Cognitive structures have attracted the attention of science education researchers because they affect students' learning of new scientific knowledge and play an important role in subsequent learning. According to the researchers, in order to realise meaningful learning in education and training, students' cognitive structures should be determined correctly. Researchers have used techniques such as word association test, flow maps, concept maps, drawing and writing technique, and concept cartoons to determine students' cognitive structures. They analysed the data with methods such as cut-off point technique, coefficient of relatedness formula, response frequencies mapping method, and qualitative analysis. In this study, a) what cognitive structure is; b) the methods, techniques, and tools used to determine cognitive structures; and c) how the data collected was used to determine cognitive structures are analysed and explained with examples of articles. In addition, the results of previous studies on cognitive constructs, especially in the field of science education, are presented.
Selective Integration
Authors: Demeke Wegene
Published: August 2024

Social media's integration into higher education is profound, serving as a dynamic tool for enhancing teaching and learning processes. While social media platforms like YouTube and Instagram cater to both educational content and social connectivity, they also bring challenges. These platforms facilitate interactive learning and enhance academic performance, but issues such as privacy concerns, distractions from educational tasks, and the potential for misinformation pose significant challenges. To harness the full potential of social media in educational settings, careful management and strategic implementation are essential. Challenges such as maintaining student privacy, minimising distractions, and ensuring content quality must be addressed through clear guidelines and promoting digital literacy. By selecting appropriate social media tools and fostering an environment conducive to academic success, educators can significantly enhance learning experiences, making education more engaging and aligned with digital advancements.
Teaching Social Studies as an Interdisciplinary Field in Preschool Education
Authors: Günal Derya Ekiz , Yünkül Eyup
Published: August 2024

This chapter deals with the importance and methods of teaching social studies in preschool period. First, it focuses on why and how social studies should be taught in preschool. The authors explain how social studies can be taught effectively, taking into account children's learning capacity and needs at this stage. The chapter discusses the basic principles and strategies for teaching social studies in preschool. Among these, methods such as play-based learning, interactive activities, storytelling, and drama stand out. It also emphasizes the importance for teachers to support children's curiosity and desire to explore, and to relate social studies to everyday life. The chapter also discusses how teaching social studies in the preschool period can contribute to students' cognitive, emotional, and social development. It emphasizes how topics such as the development of social skills, cultural awareness, and tolerance can be taught in this period.
AI-Driven Territorial Intelligence
Authors: Bentalha Badr , Boukare Mohamed
Published: August 2024

Artificial intelligence (AI) and territorial intelligence (TI) are currently two key fields. AI enables the development of systems capable of performing tasks that generally require human intelligence, such as pattern recognition, classification, and prediction. Business intelligence applied to territories is at the heart of research into sustainable territorial development, as part of the paradigm of intelligent territories. So how can digital technology be used to develop territorial intelligence and help improve the digital sovereignty of regions? The study traces the many challenges posed by the application of AI and IT in real-life scenarios and identifies opportunities for combining the two fields via a hybrid approach aimed at decision-making in digital territorial management.
Empowering Secure and Transparent Ticket Sales Using Smart Contracts on the Ethereum Blockchain
Authors: Megala G. , Venkatesan R.
Published: August 2024

Ticket industry faces persistent challenges including forgery, unlawful resale, and theft. With over half of Norway's population and a significant portion in the USA purchasing tickets online, the need for secure transaction processes is evident. Typically, two layers of trust are involved between the client and the host, leading to complexities and frustrations for consumers. Moreover, certain entities monopolize event sites, potentially engaging in unethical pricing practices. Resale of tickets among participants exacerbates the issue, risking fraudulent or duplicate tickets. Implementing smart contracts on Ethereum blockchain offers a promising solution. This study advocates for leveraging Ethereum's decentralized platform to enhance efficiency, transparency, and security in ticket sales. By doing so, common issues such as fraud, scalping, and counterfeiting can be mitigated, addressing concerns of both buyers and sellers in the ticketing ecosystem.
Blockchain-Based IoT Computing Services in Medical Healthcare
Authors: Jayashre K. , Padmavathi U.
Published: August 2024

This chapter explores the integration of blockchain and Internet of Things (IoT) computing services in medical healthcare solutions within the framework of smart cities. It delineates the foundational understanding of blockchain in healthcare, emphasizing its potential applications and advantages. Through examination of case studies and practical illustrations, the chapter elucidates the tangible implementation of blockchain-based IoT solutions in medical contexts, showcasing their efficacy in data management, patient monitoring, and healthcare service optimization. Moreover, it addresses the challenges and limitations inherent in such deployments while delineating future trajectories and opportunities for advancements. By elucidating the synergy between blockchain, IoT, and healthcare, this chapter contributes to the discourse on leveraging technology to augment accessibility and efficiency in smart cities' healthcare ecosystems.
Deep Learning for Analyzing User and Entity Behaviors
Authors: Mohanty Rasmita Kumari , Kumar Amaravarapu Pramod , Padmaja Rama , Prashanthi Vempaty
Published: August 2024

User and entity behavior analytics (UEBA) is a critical component of modern cybersecurity strategies aimed at detecting and mitigating security threats within enterprise environments. The system is designed to enhance security through the analysis of user and entity actions. The architecture encompasses data collection and integration techniques, feature extraction, deep learning models, detecting, and analyzing. Data collection strategies acquire statistics from quite a few sources, such as system logs, network site visitors, and application logs, resulting in a comprehensive dataset for analysis. Feature extraction transforms uncooked facts right into a meaningful representation, for reading a deep modelling can locate patterns in person conduct and entity conduct. Long-term and brief-term reminiscence (LSTM) and convolutional LSTM (ConvLSTM) fashions are used to investigate temporal, spatial, and temporal dependence, respectively. It detects irregularities and makes immediate corrections.