bluuebunny/crossref_metadata_2025 huggingface dataset:
Edukasi Makanan dan Jajanan Sehat Serta Bergizi Pada Anak Sekolah Dasar
Authors: Ridzal Dewi Asriani , Fajrianti Fajrianti , Haswan Haswan , Rosnawati Veni
Published: August 2024

Processed food with an attractive appearance which is often sold by traders in the school environment is a special attraction for students to consume, including at SD Negeri 1 Bandar Batauga.  The large number of cases of health problems such as poisoning due to children consuming food and snacks sold in the area around the school without knowing whether the food is good for consumption or not is the basis for this activity to be carried out.  The service activity aims to educate elementary school-age children about healthy and nutritious food and snacks for consumption in the form of education which consists of four stages, namely observation, implementation of activities (education), evaluation, and reporting of activity results.  This activity took place at SD Negeri 1 Bandar Batauga and was attended by 22 students.  Service activities in the form of education have a positive influence on students' understanding and knowledge about healthy and nutritious food preparations. This is based on the results of activity evaluations which show that 81% of participants are in the good category (understand), 14% are in the sufficient category (somewhat understand) and 5 % are categorized as lacking (lack of understanding).  Overall, service activities run in accordance with the stated objectives.
Edukasi Keuangan Pelajar: Pengenalan Investasi Pada Generasi Z Untuk Mencapai Tujuan Keuangan
Authors: Ganefi Hadi Satria , Lesmana Arief Surya
Published: August 2024

Every individual has a good life goal. One of the ways an individual can achieve their goals is through financial success. A person's intelligence in achieving financial success starts from how they can set goals, make financial plans, and manage their finances. Financial education through the introduction of investment to students will reflect financial behaviour that can affect their future welfare level. This community service was carried out at the Islamic boarding school of Tarbiyatul Banin, Dukupuntang, Cirebon Regency, by a Faculty of Economics and Business, Kuningan University team. This service aims to create a young generation that is competent in investment. The methods used in this activity include delivering financial education materials, interactive discussions, and evaluations through quizzes and questionnaires. This activity showed a significant increase in participants' understanding of the basic concepts of investment, capital markets, and the risks associated with investment. These results are expected to provide a positive contribution in preparing a younger generation that is better prepared to face financial challenges in the future.
Texto para Discussão 3032
Authors: Silveira Marcos Antonio Coutinho da
Published: August 2024

Com dados da Pesquisa de Orçamentos Familiares (POF) de 2017-2018, este Texto para Discussão investiga os determinantes demográficos e socioeconômicos do investimento das famílias brasileiras na educação básica de seus membros em idade escolar, o qual se processa por meio de três decisões sequenciais: a frequência escolar, a opção entre as redes pública e particular – ou seja, se incorre ou não em gasto escolar positivo – e o tamanho do gasto escolar. Em decorrência dessa estrutura sequencial, um modelo de viés de seleção amostral duplo é estimado separadamente para os três ciclos de ensino (infantil, fundamental e médio) a fim de corrigir eventuais vieses de seleção amostral decorrentes da correlação entre os fatores não observados daquelas três decisões. Consistente com a evidência encontrada em outros países, esse investimento é positivamente afetado pelo nível de escolaridade dos responsáveis pela família, pela renda per capita familiar e pela qualidade da educação disponível. Efeito na direção contrária é observado em relação à distância entre a residência da família e a capital de seu estado. Outras variáveis com efeito significativo são a cor e a ocupação predominante na família, o gênero dos membros em idade escolar, a região geográfica e o tamanho da família, bem como sua composição etária.
Public Primary Schools Committee Strategies for Soliciting Stakeholders’ Contributions to Enhance Food Availability in Moshi District, Tanzania
Authors: Kajange Beatrice , A. Lamu Amos Amembah , Lyamtane Rev. Eugene
Published: August 2024

The study examined the implementation of public primary schools committee strategies for soliciting stakeholders’ contributions to enhance food availability in Moshi District, Tanzania. The issue of food availability is of paramount importance, particularly in the context of primary schools, as it directly impacts the well-being and education of the pupils. Effective strategies to engage stakeholders in this endeavor are crucial for sustainable and comprehensive solutions. The Public Primary Schools Committee recognizes the significance of collaboration and engagement with various stakeholders to address the challenge of food availability. The study utilized a convergent design under a mixed research approach. The target population consisted of 2061 population and the sample was 306 including public primary schools, meal coordinators, head teachers, chairperson of the school committee and pupils. Quantitative data were analyzed using Statistical Package for Social Science (SPSS) version 23, employing methods such as sorting, frequency, percentages, and means. Qualitative data underwent transcribing and contextual analysis. The findings revealed that school committees demonstrated a moderate agreement on the strategies for soliciting stakeholders’ contributions to ensure food availability in public primary schools. The study concluded that school committees have promising strategies like announcing parent meetings, connecting parents to online platforms via What’s Up where announcements regarding food contributions can be made, implementing self-reliance activities to add nutrition to the food, collaborating with stakeholders including community-based organizations among others for soliciting stakeholders’ contributions to ensure food availability in public primary schools in Moshi district. The study recommended that school administrators should strengthen the role of school committees to encourage teamwork and oversee food- feeding programs through official education policies.
Exploring the relationship between perceived organizational support and affective commitment among Saudi employees: the mediating effect of organizational trust
Authors: Elamin Abdallah M.
Published: August 2024

Despite the acknowledged importance of perceived organizational support (POS), organizational trust (OT), and affective commitment (AC) for favorable organizational outcomes, relatively little is known about the processes that underlie these various associations, especially in Islamic, Arabian Middle Eastern contexts. This study aims to address this gap by exploring the relationships between POS and AC, and testing the mediating effect of OT in the Kingdom of Saudi Arabia (KSA). This study conducted a survey of 347 Saudi employees from a wide range of organizations, occupations, and industries and performed a hierarchical regression analysis. The results provided evidence of the validity of the three relevant constructs (POS, OT, AC) and the generalizability these constructs have outside of North American samples. It also indicated that POS is a significant predictor of OT, and both POS and OT were significant determinants of AC. The study also revealed that OT partially mediates the relationship between POS and AC. The findings contribute to a better understanding of the POS-OT-AC link in the Islamic Arabian context of the KSA. This study is among the first to test the mediating effect of OT on the POS-AC relationship, aiding the understanding of the indirect relationship between POS and AC.
A New Puzzling Periodic Signal in GeV Energies of the γ-Ray Binary LS I+61°303
Authors: Zhang Pengfei
Published: August 2024

LS I+61°303 is a high-mass X-ray binary system comprising a massive Be star and a rapidly rotating neutron star. Its spectral energy distribution across multiwavelengths categorizes it as a γ-ray binary system. In our analysis of LS I+61°303 using Fermi Large Area Telescope observations, we not only confirmed the three previously discussed periodicities of orbital, superorbital, and orbital–superorbital beat periods observed in multiwavelength observations, but also identified an additional periodic signal. This newly discovered signal exhibits a period of ∼26.3 days at a ∼7σ confidence level. Moreover, the power spectrum peak of the new signal gradually decreases as the energy increases across the energy ranges of 0.1–0.3, 0.3–1.0, and 1.0–500.0 GeV. Interestingly, a potential signal with a similar period was found in data obtained from the Owens Valley Radio Observatory 40 m telescope. We suggest that the newly discovered periodic signal may originate from a coupling between the orbital period and the retrograde stellar precession period.
Discovery of a Relativistic Stripped-envelope Type Ic-BL Supernova at z = 2.83 with JWST
Authors: Siebert M. R. , DeCoursey C. , Coulter D. A. , Engesser M. , Pierel J. D. R. , Rest A. , Egami E. , Shahbandeh M. , Chen W. , Fox O. D. , Zenati Y. , Moriya T. J. , Bunker A. J. , Cargile P. A. , Curti M. , Eisenstein D. J. , Gezari S. , Gomez S. , Guolo M. , Johnson B. D. , Joshi B. A. , Karmen M. , Maiolino R. , Quimby R. M. , Robertson B. , Strolger L. G. , Sun F. , Wang Q. , Wevers T.
Published: August 2024

We present James Webb Space Telescope (JWST) NIRCam and NIRSpec observations of a Type Ic supernova (SN Ic) and its host galaxy (JADES-GS+53.13533-27.81457) at z = 2.83. This SN (named SN 2023adta) was identified in deep JWST/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Follow-up observations with JWST/NIRSpec provided a spectroscopic redshift of z = 2.83 and the classification as an SN Ic-BL. The light curve of SN 2023adta matches well with other stripped-envelope SNe, and we find a high peak luminosity, M

V
= −19.0 ± 0.2 mag, based on the distribution of best-fit SNe. The broad absorption features in its spectrum are consistent with other SNe Ic-BL 1–3 weeks after peak brightness. We measure a Ca ii near-IR triplet expansion velocity of 29,000 ± 2000 km s−1. The host galaxy of SN 2023adta is irregular, and modeling of its spectral energy distribution indicates a metallicity of

Z
=

0.35

−
0.08

+
0.16

Z

⊙

. This environment is consistent with the population of low-z SNe Ic-BL that prefer lower metallicities relative to other stripped-envelope SNe and track long-duration γ-ray burst environments. We do not identify any γ-ray bursts that are coincident with SN 2023adta. Given the rarity of SNe Ic-BL in the local Universe, the detection of an SN Ic-BL at z = 2.83 could indicate that their rates are enhanced at high redshift.
Interaction of iron melt with tungsten and WFe composite structure evolution
Authors: Popov Nikita , Suchkov Alexey , Zharkov Mikhail , Kirillova Veronika , Bazhenov Alexander , Fedotov Ivan , Bajenova Irina , Khvan Alexandra , Kozlov Ilya , Vertkov Alexey , Sevryukov Oleg
Published: August 2024

Development of new plasma facing components (PFC) draw attention of numerous scientific groups in fusion energy field. Tungsten as a main PFC material main have poor machinability, thus various designs were proposed to overcome this problem. However, such technologies as functional graded layers, sintering and additive technologies are limited in production size and have low cost-efficiency. This research considers the alternative approach of steel melt injection or melt infiltration of tungsten mesh. The results obtained establish the mechanism of phase evolution during interaction of solid W with liquid steel and iron. Energy dispersive spectroscopy, X-ray diffraction and Thermocalc calculations used to analyze the phase composition of tungsten wetted with various steels and pure iron. Results show that interaction rate significantly depends on melt temperature and overheating above its liquidus. Then the overheating exceeds 150 °C erosion of tungsten occur.
Two new species of Macropelopia (Diptera, Chironomidae) from Oriental China, delineated with morphology and COI sequences
Authors: Fang Xiangliang , Xu Zigang , Yao Yuanyuan , Fu Yue
Published: August 2024

Two new species, Macropelopia (Macropelopia) excavata Xu & Fu, sp. nov. and Macropelopia (Macropelopia) quadrimacula Xu & Fu, sp. nov., are described as male adults. A key to identify the males of Macropelopia from China is provided. Furthermore, in order to ascertain the genetic distance between these species and their morphological characteristics, mitochondrial cytochrome c oxidase subunit I gene sequences were uploaded to the National Center for Biotechnology Information. These COI sequences were then utilized to infer the relationships between the species, employing the neighbor-joining method.
Using Interactive Multimedia to Stimulate Early Childhood Students’ Speaking Skills: A Systematic Review
Authors: Yeni Lestari Ni Gusti Ayu Made , Boeriswati Endry , Dhieni Nurbiana
Published: August 2024

Interactive multimedia is currently a significant topic in terms of learning speaking skills. This study aims to describe the use of interactive multimedia in stimulating early childhood speaking skills based on a literature review that has been conducted. The study method used in this literature study is the PRISMA (preferred reporting items for systematic reviews and meta-analyses) method. Data was obtained from the Scopus and Google Scholar databases using scientific articles from reputable international journals with the Scopus Q1–Q4 index. Article searches using the title and keywords “Interactive Multimedia,” “Multimedia,” “Interactive Multimedia in Early Childhood,” or “Speaking Skills” are limited to the last ten years, starting from 2013–2023. The findings showed that the articles in the source database were 10.982 articles, and the final selected papers left 40 articles for review. The results of the study found that: a) the use of interactive multimedia in early childhood learning is dominated by Android-based interactive multimedia (50%), video (30%), and animation (20%); b) the use of interactive multimedia in stimulating early childhood speaking skills is dominated by android media (45%), video (40%), and animation (15%); c) the challenges faced when using interactive multimedia in early childhood learning are limited infrastructure and resources, and not all schools have adequate facilities for the use of technology-based learning media and a lack of teacher creativity. The contribution of this research can provide insight into the use of interactive multimedia to stimulate early childhood speaking skills effectively and efficiently. Thus, the use of interactive multimedia can be a research target in selecting interactive multimedia that is appropriate and effective for stimulating students’ speaking skills at all levels of education and on different research topics.
Compositional Analysis of the Physico-Chemical Properties of Honey Samples From Imo and Enugu States, Nigeria
Authors: Ikegbunam Nchedochukwu Clara , Okwong Walter John , Osayi Emeka , Aziagba Bibian , Ndubueze Kelechukwu Kennedy , Ugwoke Jude
Published: August 2024

The addition of artificial substances to honey in order to increase its volume or lower its cost is rampant. This study analyzes eleven honey samples from Enugu and Imo States, Southeastern Nigeria, for physico-chemical attributes such as pH, moisture, protein, fats, ash, polyphenols, free acidity, HMF, conductivity, and sugar. The pH of the samples ranged from 2.82 to 3.86. Moisture content varied from 4.60% - 14.81%; ash 0.25 -2.53%; protein 0.77- 1.45%; fat 0.01 - 0.23%; polyphenol 1.24 - 11.23%; free acidity 17.52 - 19.04 meq/kg; HMF 50.03 - 103.33 mg/kg. The sugar analyses revealed that all honey samples contained the recommended amount of sugar for quality honey, with significant differences across locations. However, sucrose values slightly exceeded the recommended limit of 5 g for quality honey. Conductivity and HMF values were also above the recommended standard. Most tested parameters conform to international standards, making the honey suitable for human consumption.
Record of Anthropogenic and Natural Modification Along Tunisian Coast, Based on the Micropaleontological Proxy during the Holocene and Anthropocene
Authors: Essefi Elhoucine
Published: August 2024

The Tunisian coast has witnessed radical changes during the Late Holocene and the Anthropocene, including sea level variation, increasing polluting activities and obvious climatic changes. Among other geological proxies, micropaleontology revealed an efficient tool to infer changes. This work is a deepened discussion of recent works on the micropaleontology of exoreic wetlands stretching along the Tunisian coast. This review explores the role of these microfossils in deciphering the Holocene depositional environments of Tunisian lagoons, drawing upon relevant research. Microfossils serve as excellent bioindicators, providing early warnings of potential environmental risks related to heavy metal contamination. As a tangled relationship, micropaleontology and microplastics are seemingly disparate fields, yet they are increasingly intertwined due to the pervasive presence of plastic pollution in our environment.
Melissopalinology of Algerian Honeys
Authors: Ghorab Asma , Nakib Rifka , Mesbah Melilia , Bekdouche Farid , Escuredo Olga , Rodríguez-Flores María Shantal , Seijo-Coello Carmen
Published: August 2024

Honey has a long history of use in many cultures as food and medicine. It is a food of animal origin closely linked to the territory, due to honeybees need the flora to obtain the honey. Melissopalynology plays a significant role in the identification of the distinctive food print of honey throughout its pollen content, being essential for guaranteeing origin. Algeria is the largest country in North Africa and possesses a diversified territory with different ecosystems that host wide plant biodiversity. Apiculture relies heavily on the pollination of plant species and the conservation of biodiversity, but also is a good source of economic income in rural areas. In Algeria, knowledge about plant resources for honey bees and the properties of the honey is raising interest. In this context, this chapter aims to provide a comprehensive overview of the different ecosystems of Algeria, the main pollen types found in the pollen spectra of honey and the principal honey types described.
Finding Time for Creativity in Higher Education Writing Through Generative AI
Authors: Begian-Lewis K. M. , Hart Colleen J.
Published: August 2024

In this chapter, the authors discuss the relationship between time poverty, creativity, and Large Language Models of AI (LLMs) or Generative AI technologies in the writing classroom, including ChatGPT and GenAI software in word processors such as Microsoft Word. Through examples of writing provided by ChatGPT, a student profile, and comparative analysis of writing provided by two LLMs, they make an argument that LLMs should be integrated into the writing classroom in order to offer students who suffer from time poverty the ability to practice creativity in their writing which they may struggle to achieve when limited to the time they can devote to their classwork. Specifically, they explore how ChatGPT can support students in the writing process, including researching, pre-writing, writing, revision, and reflection in order to foster creativity in their writing.
Further Research Opportunities and Challenges Towards AI-Driven Tools for Modern Generation
Authors: Lakkshmanan Ajanthaa , Amudhan S. , Gaikwad Smita M. , Tyagi Amit Kumar
Published: August 2024

This chapter discusses the evolving landscape of artificial intelligence (AI) and its applications in crafting tools tailored for the modern generation. As AI continues to advance, opportunities for further research emerge, accompanied by a set of challenges that warrant exploration. This work explores key research avenues such as enhancing AI-driven tools' adaptability to dynamic user preferences, leveraging deep learning for improved context-awareness, and refining natural language processing for seamless human-machine interactions. The challenges addressed ethical issues, data privacy issues, and the need for transparent decision-making processes within AI systems. This work highlights the interdisciplinary nature of this research, calling for collaboration among experts in AI, human-computer interaction, to unlock the full potential of AI-driven tools for the modern generation. As society increasingly integrates AI into daily life, understanding and addressing these opportunities and challenges becomes imperative for the responsible and effective deployment of AI.
Generative AI in Curriculum Development in Higher Education
Authors: Tariq Muhammad Usman
Published: August 2024

This chapter explores the transformative role of Generative Artificial Intelligence (Generative AI) in reshaping the development of higher education curricula. Generative AI, as exemplified by advanced models like GPT-3, employs sophisticated algorithms to generate scientifically relevant content, surpassing traditional norms of teaching and learning. The overview delves into the fundamental principles of Generative AI, emphasizing the significance of generative models such as Generative Adversarial Networks (GANs) and the technical intricacies involved in their training. Essentially, the discourse on the significance of Generative AI in curriculum development underscores its disruptive potential in education. By providing personalized and adaptable pathways for growth, Generative AI addresses the diverse needs of students, fostering engagement and comprehension. It also underscores the role of Generative AI in overcoming limitations in traditional education, facilitating the creation of virtual laboratories and simulations that enhance hands-on learning.
Enhancing Desalination and Liquid Desiccant Regeneration Efficiency Through a Hybrid Solar Still
Authors: Kannakumar K. , Murugesan A , Balasubramani S. , Girimurugan Ramasamy , Sharma Achintya
Published: August 2024

Research has been conducted on the use of hybrid solar stills for desalinating salt water and regenerating weak liquid desiccant (LD). Different experimental settings were used to explore the effects of forced convection and a thermal energy storage medium on the water desorption from the LD. Type-I employed weak liquid desiccants consisting of 35 wt. % magnesium chloride and Type-II used 45 wt. % potassium Formate; in the bottom basin, a salinity level of 1 cm was maintained. Type-I desorbed 780 ml/m2 of water per day using the mild liquid desiccant, while Type-II desorbed 810 ml/m2. Total daily distillate output was 295 and 320 ml/m2 for Type II and I. The concentration of liquid desiccant rose to 2.5 and 1.5 in Type I and II. Hybrid solar stills used as regenerators in LD solar cooling systems have the ability to absorb the latent heat load of humid air, which is 0.132 and 0.145 kW d-1 for Type-I and Type-II respectively. The hybrid solar still managed to attain a Type-I and Type II average overall efficiency of 21.6 and 28.4% during the hours of bright sunshine, respectively.
Exergo-Economic Study of a Solar PDC-Based Vapour Absorption Air Conditioning System
Authors: Masood Ghazi Mohd , Singh Onkar
Published: August 2024

The ambient temperature is increasing as a consequence of global warming, requiring increased usage of air conditioning. The availability of solar energy and its use for air conditioning systems seems to be a possible solution in such circumstances to some degree. Thermodynamic study of a parabolic dish-based air conditioning system using a vapour absorption refrigeration cycle with H2O and LiBr as a working fluid is presented in this article. Exergy destruction in different components of the cooling arrangement, such as the generator, absorber, condenser, and evaporater, is assessed using thermodynamic modelling. According to the results, at 57 percent starting LiBr concentration, the generator has the greatest exergy loss rate of 2.535 kW, and at 45 percent initial LiBr concentration, the evaporator has the highest exergy loss rate of 3.375 kW. According to a financial study, the payback time for a PDC-based solar-powered air conditioner with a one-ton capacity is approximately six months.
Background and Significance of Computational Convergence in Electronic Health Records
Authors: Kaur Ramneet , Mishra Renu , Pruthi Jyoti , Mehta Shruti N.
Published: August 2024

Technological development has drastically changed the healthcare industry, bringing with it both new opportunities and problems for medical practitioners. The necessity of encouraging healthcare Professionals to accept and adjust to artificial intelligence and other cutting-edge technology is examined in this chapter. This chapter addresses the obstacles that come with implementing AI and other technologies and offers solutions for overcoming the difficulties involved in incorporating cutting-edge instruments into medical procedures. With insightful discussions on the moral dilemmas surrounding healthcare technology, the narrative aims to advance a well-rounded approach that prioritizes patient care while making use of the benefits of cutting-edge technologies. The chapter examines the potential implications of developing trends on the responsibilities of healthcare professionals and the future of healthcare technology.
Challenges and Opportunities of Implementing AI in Electronic Health Records
Authors: Tiwari Himanshu , Kumar Alok
Published: August 2024

An electronic health record (EHR) is software that's used to securely document, store, retrieve, share, and analyze information about individual patient care. EHRs are hosted on computers either locally (in the practice office) or remotely. Remote EHR systems are described as “cloud-based” or “internet-based. With over 75% of office-based clinicians and 96% of hospitals in the United States using an EHR system, nearly all practices have an immediate, practical interest in improving the efficiency and use of their EHRs. Some practices may be considering a replacement acquisition of an EHR to better care for their patients and reduce the burden on clinicians who need to use the EHR. One of the essential features of EHRs is their ability to be shared and accessed securely by different healthcare providers across various healthcare settings. This sharing of information enhances care coordination and improves communication among different medical teams involved in a patient's treatment.
Leveraging Blockchain and IPFS for Secure Electronic Health Records Storage
Authors: Lalitha S. D. , Suhail Sherief S. , Shree Ranganathan S. , Sanjay C.
Published: August 2024

The “Genesis” decentralized blockchain app revolutionizes Electronic Health Records (EHR) by integrating blockchain and IPFS, ensuring secure, scalable data storage. It tackles scalability with off-chain storage, ensuring data integrity via blockchain. Smart contracts grant granular access control for patients and providers, balancing privacy and accessibility. Future enhancements include cross-platform compatibility, advanced cryptography, and regulatory compliance. “Genesis” offers a robust solution and lays the groundwork for ongoing innovation in EHR management, promising to reshape healthcare information practices.
Democratizing Clinical Trial Data With Blockchain for Personalized Medicine
Authors: Krishnan S.
Published: August 2024

This chapter explores using blockchain to create a secure platform for managing anonymized clinical trial data, addressing the needs of People, Planet, and Profit (3Ps). By empowering patients with control over their data (People), participation rates could increase. Researchers would gain broader access to anonymized data (People), facilitating personalized medicine. Streamlined data sharing could minimize redundant trials, reducing resource consumption (Planet) and fostering a sustainable healthcare system (Planet). The chapter examines how blockchain addresses limitations of siloed data and offers secure, tamper-proof storage with auditable transactions. Potential benefits encompass People (increased control), Planet (reduced resource use), and Profit (faster drug development, lower costs). This research area holds promise for 3Ps-focused healthcare advancements in personalized medicine, data privacy, efficiency, and sustainability.
Impact of Workforce Emotional Intelligence on Patient Satisfaction
Authors: Motwani Bharti , Haryani Sharda , Manoharan Geetha , Razak Abdul
Published: August 2024

In stressful jobs, emotional intelligence is crucial in the current competitive environment. Patient satisfaction is an important problem in health care, and the emotional intelligence of workers may affect it. The three key emotional intelligence traits for interpersonal skills are social skills, empathy, and intrinsic motivation. To assess the relationship between workforce emotional intelligence and patient satisfaction, 884 private ward patients provided text reviews. The Lexicon-based method classifies three EI dimensions. The three domains of emotional intelligence are assessed using textblob, Afinn, and VADER sentiment. Test all regression analysis assumptions before creating models. The models were created using six supervised machine learning methods. Gradient boosting produced the best result. Patient satisfaction was significantly affected by all three dimensions. Empathy contributed most, followed by social skills and intrinsic motivation. Staff can be trained to moderate their emotions, as EI is not continuous. Observing behavioral trends will improve patient treatment.
Leveraging Technology for Enhancing Performance Appraisal
Authors: Manoharan Geetha , Rajoli Suresh Babu
Published: August 2024

Performance evaluation supports HRM employee progress and organizational performance. Technology is needed to improve subjective, biased, and wasteful evaluation methods. Performance evaluation technology fixes problems and boosts accuracy. Technology enhances objectivity, real-time feedback, and data-driven insights. Automated technologies and software evaluate performance data for better ratings. Comprehensive staff performance reviews are possible with 360-degree feedback and ongoing performance management platforms. Through customized development programs and goal tracking, technology lets employees actively improve. Internet and mobile applications make performance data available, increasing evaluation transparency and accountability. Addressing data privacy and change resistance is key to implementation. Organizations must train staff in new technology and evaluate performance objectively. Finally, performance evaluation technology might disrupt present techniques and improve employee engagement, development, and performance, improving corporate success.
Strategic Management and Planning in Healthcare Settings
Authors: Kumar Piyush , Udayai Kirti
Published: August 2024

This chapter will explore strategic management from the lens of healthcare organizations. It will delve deep into the relevance and importance of strategic management and planning in healthcare organizations. It will throw light on the various strategic management frameworks, tools, and best practices tailored specifically for healthcare environments. Through comprehensive analysis and real-world case studies from healthcare organizations across the globe, the chapter will provide insights into effective strategic planning, implementation, and adaptation strategies to address the dynamic landscape of healthcare delivery. Intended for healthcare administrators, managers, policymakers, and scholars interested in gaining insights into strategic management and planning practices tailored to the unique challenges of healthcare environments, this chapter will also serve as a valuable resource for students studying healthcare management, administration, or related fields.
Exploring Antecedents of AI Adoption in Transforming HRM Practices in the Healthcare Industry
Authors: Arora Ritu Gandhi , Siradhana Neha Kumari
Published: August 2024

Due to the rapid development of artificial intelligence (AI) in today's economies, HR managers also use AI tools to handle various HR tasks, from planning to managing employee turnover. This research uses the TOE (technology-organization-environment) model. A structured questionnaire surveyed 459 HR professionals of healthcare organizations and data was analyzed using partial least squares structural equation modeling. The research found that factors like cost-effectiveness, relative advantage, organization size, top management support, HR readiness, competitive pressure, and vendor support positively influence AI adoption in HR management. However, security, privacy concerns, and technological complexity can make AI implementation difficult. This chapter aims to provide valuable insights to senior executives, medical professionals, HR experts, researchers, AI designers, and marketers, enhancing their understanding of AI's role in managing human resources in the healthcare industry.
Workforce Well-Being and Resilience in Healthcare Leadership
Authors: Tandon Prachee Mittal , Chaturvedi Vijit
Published: August 2024

In the dynamic and demanding landscape of healthcare, the pursuit of optimal workforce well-being and organizational resilience stands as an imperative for sustained success. This chapter dives into the critical interplay between leadership, the well-being of healthcare professionals, and the resilience of healthcare organizations. Addressing the escalating challenges of burnout, stress, and workforce fatigue, this chapter illuminates the multifaceted dimensions of the topic and outlines actionable strategies for healthcare leaders to foster a culture of well-being and resilience.
New Approaches to Harness Digital Innovations for Capacity Building Among Healthcare Professionals
Authors: Ramachandran Anandhi , Garjola Kanishka
Published: August 2024

Continuous capacity building is crucial in the constantly shifting healthcare environment to ensure that healthcare professionals have the most up-to-date information and abilities to deliver high-quality care. It can help in addressing the healthcare workforce shortage and improve accessibility to healthcare services. Capacity building must be approached at all levels—individual, institutional, and at policy levels—to ensure it is effective, scalable, and sustainable. There are four approaches of building capacity digitally. The dynamically expanding world of telecommunications and digital technologies can be leveraged with appropriate strategies to become more efficient and give the best results. Hybrid models combining elements of traditional in-person training with online learning platforms, offering a flexible and adaptive approach to provide diverse learning styles can be adopted. Leveraging new innovative approaches can ensure that the healthcare workforce remains competent, adaptable, and equipped to meet the evolving demands of the healthcare landscape.
Nursing Cadre Skill Development for AI-Enabled Hospitals
Authors: Aggarwal Divya , Bansal Priya , Goyal Anisha
Published: August 2024

In the advancements-driven environment, the developing setting of healthcare in information and communication technology (ICT) is representing a transformative change in nursing practice. Nurses, known as critical in attaining Sustainable Development Goals (SDGs), are poised to influence new technologies for patient care delivery, mainly in developing nations. There is need to incorporate electronic health records (EHR), mobile apps, big data analytics, and artificial intelligence (AI) in nursing care across various positions. The chapter focuses on the implementation of AI in hospital settings for better patient outcomes. The building blocks of smart hospitals and their challenges are also highlighted. It is necessary to train the workforce in tech-related operations from time-to-time in order to have seamless operations.
Using AI-Driven Decision-Making Tools in Corporate Investment Planning
Authors: Devapitchai Joel Jebadurai , S. V. Krishnapriya , S. P. Karuppiah , P. William Robert , Saranya S.
Published: August 2024

Artificial intelligence plays a crucial role in financial sectors, especially in investment planning. It enhanced or replaced traditional investment planning by applying AI techniques such as machine learning, natural language processing, deep learning, and robo-advisors. This chapter presented the applications of AI-enabled decision-making tools in various functional areas of corporate investment planning such as quantitative trading algorithms, risk management systems, portfolio optimization tools, algorithmic trading, forecasting and prediction of securities market, automated portfolio building, data analysis, asset management, and personalized investment advice. Also, this chapter presented the case studies, success stories, and benefits of AI applications in corporate investment planning. This chapter will be very useful for corporate companies and investors to transform their mode of traditional investment planning to technology-oriented investment planning.
Benefits and Challenges of Artificial Intelligence in FinTech
Authors: Dzingirai Mufaro , Ozili Peterson K.
Published: August 2024

The proliferation of digital transactions in the financial sector when it comes to the 4th Industrial Revolution (41R) has allowed companies to use artificial intelligence. Worryingly, it appears that scant is known about artificial intelligence in the FinTech discourse especially when it comes to African economies. As such, this chapter aims to fill this gap by focusing on the role of artificial intelligence in FinTech. With the utilization of a comprehensive literature review methodology, it was observed that artificial intelligence is of utmost importance as it can augment accuracy, efficiency, fraud detection, effectiveness, human capabilities, and customer experiences; mitigate economic crimes; and accelerate regulatory compliance. Despite these benefits of artificial intelligence in FinTech, it brought to the fore some insurmountable challenges in the financial sector like ethical concerns, human rights issues, social engineering, and fraudulent data generation. The results of the current study are associated with theoretical and practical implications.
An Analysis of Green Retailing for Sustainable Business Through Digital Technology Application in Indian Retail Market
Authors: Sivasubramanian K.
Published: August 2024

This chapter aims to analyze the green retailing methods adopted in various retail business organizations for a sustainable environment. In this connection, retail business organizations have started using advanced technology for their day-to-day operational processes in the Indian retail industry. Green retailing processes such as billing the commodities, delivery of goods, digital signage, in-store digital security systems, pest controls in supermarkets, product briefing through digital standee and customer service kiosks. The Indian retail industry has to draw in major investments from both domestic and international companies to grow into a thriving industry. This study found that the most effective sustainability initiatives develop with a thorough comprehension of the regional business environments. It will be necessary to modify these international best practices to fit the Indian market to replicate the success of some environmental sustainability projects from international markets.
Hotel Economies Through Digital Consumers' Feedback
Authors: Van Tran Xuan , Egan Patrice Gayle , Morman Kendall , Pajuelo Cynthia , Derr Camryn
Published: August 2024

The purpose of this study is (1) to examine the relationship between self-report and implicit factors in the 1000 hotel feedback comments on the hotels in the south-east of the US during the low and high seasons and then (2) to use the relationship to maximize hotel revenue. Linguistic Inquiry Word Count was conducted to find the implicit factors in the comments and then the study uses Structure Equation Modelling. Study findings indicate that (1) the implicit factors of drives and affect in guests' comments directly affect hotel revenue and (2) the self-report factors affect hotel revenue directly with overall and indirectly through drives with room as well as affect with sleep quality in the high season. The implications of the study for hotel revenue optimization are (1) during the high season, hoteliers should emphasize decreasing room rates to increase consumer drives and advertising sleep quality. (2) Conversely, in the low season, hoteliers should promote room for the guests whose comments with affect by overall of guest satisfaction.
Untapping Artificial Intelligence in Environmental and Sustainable Progression
Authors: Kaushik Tarun Kumar , Ravish  , Singh Anurag , Raghav Anjali , Singh Bhupinder , Arora Manmeet Kaur , Lal Sahil
Published: August 2024

Concern about the environment has long sparked public outcry, debate, and awareness campaigns, which in turn have piqued people's curiosity in new technology like AI. While addressing environmental sustainability concerns is critical, the rise of AI has made it possible to prioritise human interests while solving the majority of common environmental problems. A sustainable future takes into account the interconnectedness of ecological, social, and economic factors. There are many environmental problems, such as climate change and environmental degradation, that call for innovative and smart AI solutions. Artificial intelligence (AI) and environmental sustainability literature cover a wide range of topics to accomplish Sustainable Development Goals (SDGs), this study will investigate the potential uses of artificial intelligence (AI) to solve environmental problems in different industries.
Mitigating Climate Change
Authors: Sahu Shashwata , Mallick Navonita , Patnaik Sanghamitra
Published: August 2024

The existential threat presented by climate change demands an unprecedented response. Existing environmental regulations are insufficient for the pollution concerns that arise from our complicated and integrated global economy. AI has the potential to completely revolutionize existing environmental regulatory frameworks and dramatically improve climate change mitigation with superior data collection, modeling & new enforcement capabilities. Using a doctrinal approach, it studied both national and international regulatory laws and found best practices as well as legal obstacles, such as the need for data privacy and algorithmic bias concerns. It discovered the potential for health law to improve regulation compliance and the potential of modeling in public health. It concluded that artificial intelligence had the potential to vastly improve modeling and partially improve compliance but that theoretically, strict law can curb the worst impulses of unscrupulous AI. It recommended that policymakers collaborate with legal experts and AI researchers to ensure quality climate action.
Climate Change Mitigation and Adaptation Strategies Enhanced by Intelligent Systems in Industry 6.0
Authors: Reddy M. Swathi , Reddy C. Kishor Kumar , Hanafiah Marlia Mohd
Published: August 2024

Climate change is currently one of the most significant global concerns that we are confronting.Extreme weather events, rising sea levels, and global warming are already having an effect, are expected to worsen in the years to come. AI has emerged as a useful tool for climate change adaptation due to its wide range of capabilities that can help with identifying vulnerable places, modelling future climatic scenarios,assessing risks possibilities for businesses, infrastructure. Climate change, which is caused by an increase in greenhouse gas concentrations in the atmosphere, will have an impact on agriculture, one of the main human activities.The world's food supply might be able to support growing populations in the upcoming decades, but predictions suggest that climate change could worsen regional imbalances already in place by reducing crop yields. This is so that local agricultural methods intended to maintain production. Land managers, farmers will confront challenges in selecting mitigation, adaptation strategies that satisfy food, fibre.
Exploring the Potential of Smart Industries to Transform the Gig Economy
Authors: Mahadevan Padma , Dahiya Suman , Khan Saleena , Anant B. C. , Singh Anjali , Prakash Bishwajeet , Kaur Gagandeep
Published: August 2024

The gig economy has reshaped traditional employment, offering flexibility but also presenting challenges such as job insecurity and lack of benefits. This study investigates the potential of smart industries, driven by technologies like IoT, AI, and blockchain, to address these issues and enhance the gig economy. By conducting a comprehensive literature review and analyzing data from industry experts and gig workers, we examine how smart industries can create new opportunities, improve efficiency, and enhance worker satisfaction. The findings reveal significant transformative potential, while also highlighting the need to address associated risks and challenges to ensure sustainable growth in the gig economy.
Harnessing AI and GIS Technologies for Climate-Resilient Agriculture and Environmental Sustainability
Authors: Hadeed Muhammad Zakwan , Ali Aitzaz , Malik Abdul , Raza Aamir , Shoaib Muhammad
Published: August 2024

Climate change poses a significant threat to global food security and environmental sustainability. Traditional agricultural practices often struggle to adapt to increasing weather variability and extreme events. This chapter explores the potential of AI and GIS technologies to build climate-resilient agriculture and promote environmental sustainability. AI algorithms can analyze vast datasets, including weather patterns, soil characteristics, and crop productivity data, to identify vulnerabilities and recommend strategies for farmers to adapt to changing conditions. Some applications that can help improve agricultural production are mapping climate risk, predicting drought, and finding the best places to put different crops. The chapter explores the context-specific solutions that combine technological innovation with traditional practices, fostering collaboration among farmers, researchers, developers, and business leaders to optimize resource use, enhance crop yields, and mitigate environmental impacts despite challenges like data availability and equitable access.
Social Tourism
Authors: Selvakumar P. , Seenivasan S.
Published: August 2024

Social tourism, a subset of sustainable tourism, prioritizes social and economic development alongside environmental conservation. It emphasizes community engagement, cultural exchange, and mutual benefits for hosts and guests. Social tourism recognizes the intrinsic value of local cultures, traditions, and ways of life, promoting cross-cultural understanding and respect. In contrast to mass tourism, social tourism focuses on small-scale, locally-owned enterprises, fostering authentic experiences and meaningful interactions. It addresses poverty, inequality, and social exclusion by creating jobs, stimulating local economies, and empowering communities. Social tourism complements eco-tourism, community-based tourism, and responsible travel, sharing common values and objectives. As the tourism industry continues to grow, social tourism offers a transformative approach, prioritizing people and planet over profit. By embracing social tourism, we can redefine the travel experience, creating a more equitable, inclusive, and sustainable future for all.