bluuebunny/crossref_metadata_2025 huggingface dataset:
Multivariate Predictors of Lyman Continuum Escape. I. A Survival Analysis of the Low-redshift Lyman Continuum Survey*
Authors: Jaskot Anne E. , Silveyra Anneliese C. , Plantinga Anna , Flury Sophia R. , Hayes Matthew , Chisholm John , Heckman Timothy , Pentericci Laura , Schaerer Daniel , Trebitsch Maxime , Verhamme Anne , Carr Cody , Ferguson Henry C. , Ji Zhiyuan , Giavalisco Mauro , Henry Alaina , Marques-Chaves Rui , Östlin Göran , Saldana-Lopez Alberto , Scarlata Claudia , Worseck Gábor , Xu Xinfeng
Published: August 2024

To understand how galaxies reionized the Universe, we must determine how the escape fraction of Lyman continuum (LyC) photons (f
esc) depends on galaxy properties. Using the z ∼ 0.3 Low-redshift Lyman Continuum Survey (LzLCS), we develop and analyze new multivariate predictors of f
esc. These predictions use the Cox proportional hazards model, a survival analysis technique that incorporates both detections and upper limits. Our best model predicts the LzLCS f
esc detections with an rms scatter of 0.31 dex, better than single-variable correlations. According to ranking techniques, the most important predictors of f
esc are the equivalent width (EW) of Lyman-series absorption lines and the UV dust attenuation, which track line-of-sight absorption due to H i and dust. The H i absorption EW is uniquely crucial for predicting f
esc for the strongest LyC emitters, which show properties similar to weaker LyC emitters and whose high f
esc may therefore result from favorable orientation. In the absence of H i information, star formation rate surface density (ΣSFR) and [O iii]/[O ii] ratio are the most predictive variables and highlight the connection between feedback and f
esc. We generate a model suitable for z > 6, which uses only the UV slope, ΣSFR, and [O iii]/[O ii]. We find that ΣSFR is more important in predicting f
esc at higher stellar masses, whereas [O iii]/[O ii] plays a greater role at lower masses. We also analyze predictions for other parameters, such as the ionizing-to-nonionizing flux ratio and Lyα escape fraction. These multivariate models represent a promising tool for predicting f
esc at high redshift.
Probing Presupernova Mass Loss in Double-peaked Type Ibc Supernovae from the Zwicky Transient Facility
Authors: Das Kaustav K. , Kasliwal Mansi M. , Sollerman Jesper , Fremling Christoffer , Irani I. , Leung Shing-Chi , Yang Sheng , Wu Samantha , Fuller Jim , Anand Shreya , Andreoni Igor , Barbarino C. , Brink Thomas G. , De Kishalay , Dugas Alison , Groom Steven L. , Helou George , Hinds K-Ryan , Ho Anna Y. Q. , Karambelkar Viraj , Kulkarni S. R. , Perley Daniel A. , Purdum Josiah , Regnault Nicolas , Schulze Steve , Sharma Yashvi , Sit Tawny , Sravan Niharika , Srinivasaragavan Gokul P. , Stein Robert , Taggart Kirsty , Tartaglia Leonardo , Tzanidakis Anastasios , Wold Avery , Yan Lin , Yao Yuhan , Zolkower Jeffry
Published: August 2024

Eruptive mass loss of massive stars prior to supernova (SN) explosion is key to understanding their evolution and end fate. An observational signature of pre-SN mass loss is the detection of an early, short-lived peak prior to the radioactive-powered peak in the lightcurve of the SN. This is usually attributed to the SN shock passing through an extended envelope or circumstellar medium. Such an early peak is common for double-peaked Type IIb SNe with an extended hydrogen envelope but uncommon for normal Type Ibc SNe with very compact progenitors. In this paper, we systematically study a sample of 14 double-peaked Type Ibc SNe out of 475 Type Ibc SNe detected by the Zwicky Transient Facility. The rate of these events is ∼3%–9% of Type Ibc SNe. A strong correlation is seen between the peak brightness of the first and the second peak. We perform a holistic analysis of this sample’s photometric and spectroscopic properties. We find that six SNe have ejecta mass less than 1.5 M
⊙. Based on the nebular spectra and lightcurve properties, we estimate that the progenitor masses for these are less than ∼12 M
⊙. The rest have an ejecta mass >2.4 M
⊙ and a higher progenitor mass. This sample suggests that the SNe with low progenitor masses undergo late-time binary mass transfer. Meanwhile, the SNe with higher progenitor masses are consistent with wave-driven mass loss or pulsation-pair instability-driven mass-loss simulations.
Monitoring of the radioactivity in the marine environment: a White Paper - Part I
Authors: Lagaki Varvara , Siltzovalis Georgios , Madesis Ioannis , Vasileiou Polytimos , Mertzimekis Theo J.
Published: August 2024

Radioactivity in the marine environment, although present since the Earth’s formation, is comparatively understudied in contrast to aerial and terrestrial environments. A thorough examination of the radioactivity levels in aquatic environments can establish a robust foundation for comprehending various geochemical processes and phenomena within the water column and near the seabed, and as a result estimate the impact of radioactivity on local ecosystems. To achieve this objective, in-situ, long-term, and continuous monitoring is required. The present part I of the white paper highlights the fundamentals of marine radioactivity, describes the main objectives of an ambitious EU-funded project (RAMONES: Radioactivity Monitoring in Ocean Ecosystems) and introduces the innovative aspects of the technology developed as novel solutions to open problems.
Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis
Authors: Hajare Shital , Rewatkar Rajendra , Reddy K.T.V.
Published: August 2024

The escalating prevalence and acute manifestations of Acute Coronary Syndrome (ACS) necessitate advanced early detection mechanisms. Traditional methodologies exhibit limitations in predictive accuracy, sensitivity, and timeliness, thus hindering effective intervention and patient care management. This study introduces a comprehensive machine learning-based approach to surmount these constraints, thereby enhancing early ACS prediction capabilities for different scenarios. Addressing data integrity, the methodology encompasses rigorous data preprocessing techniques, including advanced missing value imputation and outlier detection, to ensure dataset reliability. Feature selection is meticulously conducted through a recursive feature elimination and correlation analysis, thereby distilling critical predictive indicators from extensive clinical datasets. The study harnesses diverse algorithms—Support Vector Machines, Logistic Regression, Gradient Boosting Machines, and Deep Forest—tailored for nuanced ACS detection, balancing simplicity with computational depth to optimize performance metrics. The proposed model exhibits a superior predictive proficiency, as evidenced by significant improvements in precision, accuracy, recall, and reduced prediction delay compared to the existing approaches. The Logistic Regression coefficients and the SHapley Additive exPlanations (SHAP) values provide interpretative insights into the risk factor significance, facilitating personalized patient risk assessments. Furthermore, the study pioneers a clinically applicable risk scoring system, which is thoroughly evaluated through sensitivity, specificity, and positive predictive value metrics. Implications of this research extend beyond theoretical advancement, offering tangible enhancements in ACS predictive analytics. The enhanced model promises improved patient outcomes through timely and accurate ACS detection, thus optimizing healthcare resource allocation. Future research directions are identified, which advocate for the exploration of novel risk factors and the application of cutting-edge machine learning techniques to foster inclusivity and adaptability in diverse healthcare settings.
Self-adjoint and hyponormal weighted composition operators on the Fock space
Authors: Jiang Zhi-jie
Published: August 2024

One major aim of this paper is to characterize the self-adjointness of some special weighted composition operators on Fock space, and another major aim is to characterize the hyponormality of some composition operators on such space.
Ritual Ecologies and the Reconstruction of Economic and Environmental Histories in West Africa
Authors: Dueppen Stephen , Gallagher Daphne
Published: August 2024

Organic remains from archaeological research in the Mouhoun Bend of western Burkina Faso have primarily been recovered from discrete pits and concavities associated with diverse material culture and architectural remnants within mounds. Recent research at the site of Kirikongo indicates that these contexts are generally derived from funerary, veneration or foundation rituals connected to ancestors. Contents were highly structured in nature, and as the result of highly ritualized practices are not direct reflections of the general economy or environmental setting. This paper explores the challenges inherent in interpretation and the deep insights that can be made through recognition of the choices involved in deposition. It examines the broader implications of Kirikongo's site formation processes for earlier sites in the region, suggesting that ritualized deposition processes may have deeper histories, and explores the potential impacts on reconstructions of agricultural origins in the region.
Palynological Evidence From Sediments of a Coastal Estuary in Lagos, Southern Nigeria
Authors: Ajikah Linus Bashie , Akpo Orijemie Emuobosa , Alebiosu Olugbenga Shadrak , Phiri Ethel , Bamford Marion
Published: August 2024

The environmental history of parts of the Lagos lagoon during the Late Holocene was reconstructed based on the palynological analyses of a 51cm sediment core retrieved from Itokin, Lagos, Nigeria. Three phases (I-III) of environmental changes, beginning from 1480±30 BP, were recognized. The inferred environmental changes were characterized by the mangrove swamp forests, freshwater swamp forests, and open vegetation in varied proportions and accompanied by conditions that fluctuated between wet and dry climates. The pollen evidence reveals that the Itokin landscape has remained open since the last 1500 yrs BP, dominated by open vegetation and freshwater swamp elements. The mangrove swamp forest decreased at some point but recovered. In contrast, the rainforest remained low in occurrence throughout the core. The drivers of these environmental changes and their ecological implications are highlighted.
Evolution of El Hisha Lagoon (South-Eastern Tunisia, Gulf of Gabès) Through the Analysis of Ostracods and Benthic Foraminifera Assemblages
Authors: Ben Rouina Soumaya , Zarai Rimeh , Touir Jamel
Published: August 2024

A 80 cm-long sediment core was taken from the El Hisha lagoon in the southestren coast of Tunisia. The sediments were deposited in a shallow marine lagoonal environment that was confirmed by the dominance of lagoonal assemblages associeted to coastal marine microfauna assemblages, evolving toward the closing. The settlement of the restricted lagoonal environments is linked to the building-up of sandy spit. Later, This lagoonal sedimentation was interrupted by high-energy events, causing the breakthrough of the sandy spit, corroborated by the presence of planktonic foraminifera with benthic microfauna.
Late Devonian Kellwasser Bioevent at Echouech Borehole (EC-1) Southern Tunisia
Authors: Ghazzay-Souli Wissal , Razgallah Saloua , Vachard Daniel
Published: August 2024

To identify and characterise the Kellwasser event in southern Tunisia, which is the subject of this study, we revised the biostratigraphy of the Echouech cores from the late Devonian, particularly Frasnian-Famennian transition. This interval is characterised by diversified fauna. The analysis of ostracod evolution enabled us to identify evidence of Kellwasser events associated with changes in environmental conditions, variations in oxygenation levels characterized by the presence of Buchiola and small pyritized ammonoids, a reduction in biodiversity, and the extinction of pelagic ostracods, Styliolina, and conodonts. Kellwaser event is marked by black shale horizons in the EC-1 borehole. Geochemical analysis of these horizons confirms the richness of organic matter and the reducing conditions at the base or top of the Frasnian. These horizons are rich in organic matter, reflecting generalized marine anoxia in the EC-1 borehole. A comparison of this event with other boreholes and with the stratotype section was carried out to determine its geographical extension.
Paleoenvironmental Evolution of the Lagoon of Mahres (Gulf of Gabes, Tunisia) Based on Its Ostracod and Benthic Foraminifera Associations
Authors: Ben Rouina Soumaya , Zarai Rimeh , Touir Jamel
Published: August 2024

This chapter is devoted to the reconstruction of the palaeoenvironment of the Mahres lagoon (gulf of Gabes, Tunisia). Two primary proxies have been the most studied during the last decade: sedimentary criteria and microfossils. In this study (core ‘‘Mh''), we used a microfossil-based proxy (ostracods and foraminifers) and Granulometric analysis. The results reveal the succession of three extreme events episodes (Units: U1, U3 and U5) characterized by very high-energy hydrodynamics possibly linked to the occurrence of major storms. These units are marked by an increase in coarse sediments and an increase in coastal marine ostracods made up of Neocytheredeis fasciata, Pontocythere elongata, Semicytherura incongruens and benthic foraminifera including Sorites orbiculus, Peneroplis perstus, Rosalina bradyi, Rosalinna. Macropora, Valvularina bradyana and Planorbulina mediterranensis.
Exploring the Perception of Indian Educators Towards Use of Generative AI Tools for Assessment
Authors: Pillai Nitin Sankar , Arora Poonam
Published: August 2024

Educational ecosystem has always kept pace with the technological development. Stakeholders in education have had an agile reaction to the progress happening outside the classroom and have embraced these changes at the earliest for their own benefits. While students have readily accepted the free tools, there is a raging debate on the view of educators regarding the same. The present research focuses on teachers and educators who teach at undergraduate and post-graduate students of management and assimilates their opinion on the use of artificial intelligence, in one of the key aspects of the educational journey, i.e., assessment. In the research carried out engaging insights were brought forth in terms of educators preferences regarding the use of artificial intelligence for assessment and how they perceive it to help students and themselves. At the same time, the research has also shown the limitations that educators feel regarding the use of artificial intelligence from an Indian perspective, due to the sheer number of human power involved in the Indian Education System.
Future Perspectives of ChatGPT Towards Industry 4.0, Society 5.0, and Modern Education
Authors: Kukreja Mansi , Arumugam Senthil Kumar , Tyagi Amit Kumar , Sivakumar M.
Published: August 2024

The future perspectives of ChatGPT in the context of Industrial 4.0, Society 5.0, and Modern Education showcase the potential for transformative impacts on communication, decision-making, and learning processes. In Industrial 4.0, ChatGPT is anticipated to play a pivotal role in facilitating human-machine collaboration, enhancing communication in smart manufacturing, and contributing to agile decision-making processes. The integration of ChatGPT in this industrial paradigm holds promise for increased efficiency, improved troubleshooting, and streamlined interactions between workers and intelligent systems. The seamless integration of ChatGPT into the fabric of Industrial 4.0 and other terms requires a thoughtful approach, collaboration between stakeholders, and ongoing advancements in AI research and development. As ChatGPT continues to evolve, its role as a communication and decision-making tool holds significant potential to shape a future where human-machine collaboration, societal interactions, and education are enriched by the capabilities of advanced AI technologies.
The Interplay Between Creativity, Thinking Styles, Higher Education, and Generative AI
Authors: Fields Ziska
Published: August 2024

The use of artificial intelligence and especially Generative AI technology is creating radical change in education. This technology can impact studentss creativity, their cognition, preferred thinking styles, and higher order thinking skills. This chapter's main objective is to explore the link betweem creativity, thinking styles and skills, higher education, and GAI. The research question was explored using literature that was screened non-systematically using Google Scholar, EBSCO, and omni-linked databases for articles published between 2019 and 2024 due to the fact that it is a rapidly emerging field of study. It was found that there is an interplay between creativity, thinking styles, education, and GAI. GAI is reshaping our understanding of education and its impact on creativity and thinking styles. It is forcing humans to reconsider and review current and traditional teaching and learning pedagogies.
Smart Biomaterials for Thermal Regulation in Biomedical Applications
Authors: Kashyap Satadru , Kirtania Sushen , Banerjee Sanjib
Published: August 2024

Thermal management stands as a critical factor in the efficacy and safety of biomedical devices, implants, and therapeutic approaches. The delicate balance of maintaining optimal temperatures within biological systems necessitates innovative solutions. Smart biomaterials are engineered materials with thermoresponsive properties that adapt to environmental changes. Within the realm of thermal management, these materials exhibit dynamic responses to temperature alterations, allowing for controlled heat dissipation or retention. The design of smart biomaterials for thermal management hinges on tailoring their composition and structure for desired thermal responses. Certain materials undergo structural alterations at specific temperature thresholds, enabling controlled release mechanisms in medical devices or implants. Smart biomaterials find diverse applications in biomedicine, from implantable devices to wearable technologies. Despite advancements, challenges persist, including scalability, biocompatibility, and long-term stability of smart biomaterials.
Revolutionizing Healthcare With AI Techniques
Authors: Arora Yojna , Rani Ashima , Gupta Ganesh
Published: August 2024

The scope of the chapter includes description about Artificial Intelligence, Machine Learning, various type of learning methods. It also explains the concepts of Natural Language Processing, Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Robotics Process Automation. After explaining all the technical concepts, it further includes Healthcare applications which uses AI concepts such as related to Medical Imaging, Drug Discovery, Patient Monitoring, Fraud Detection and Billing Optimization Chatbots and Virtual Assistance and many more. This chapter provides a comprehensive role of Artificial Intelligence and technology trends in the field of Healthcare Sector.
Big Data for Health Data Analytics and Decision Support
Authors: Dhatterwal Jagjit Singh , Kaswan Kuldeep Singh , Saxena Sandeep , Panwar Arvind
Published: August 2024

This chapter demonstrates the application of CBR as part of ontologies and examines one vital advantage: enhanced care delivery in the healthcare sector. The content standards are as follows: mapping of key concepts of big data in health sciences, understanding various data types, including EHRs, genomic data, wearable sensor data, and methods of acquisition; and data fusion with concerns. This chapter seeks to redress this shortcoming by exploring a CBR approach within ontologies with the intention of improving the use and integration of data through ontology support to arrive at improved clinical choices and decision-making regarding personalised medicine. The chapter will describe the use of big data and its options for further control, along with examples of Big Data in cancer research and chronic diseases. The last section will highlight the future trends and ethical implications of health data analytics and the evolved role of CBR in taking the health technological landscape forward.
The Mechanism Used for Classifying Heart Disease and Detecting Abnormality Using Electronic Data
Authors: Ravi Rohit , Madhavan P.
Published: August 2024

This chapter aims to explain the impact and role of IoT devices and Artificial Intelligence in Cardiovascular Disease Detection with heart sound data using a modified stethoscope. This chapter explains new technologies that will help us keep track of cardiovascular disease from its early stages and how it will change the healthcare system's future. We will discuss the model used in future hospitals or clinics to find heart sound irregularity within a minimum period and also in diagnosing some other diseases related to heart or lung sounds. This will help keep track of more patients without wasting time in clinical testing. And if any abnormality is found, it can be clinically tested and treated as early as possible. As we know, treating cardiovascular disease in its early stage is more straightforward than its severe stage. It became one of the most life-threatening diseases instead it is not an infectious disease. According to the record of WHO, over 18 million people lost their lives due to this disease.
Overcoming Global Challenges in Electronic Health Record Interoperability
Authors: Ranney David J.
Published: August 2024

The reasons for pushing electronic health record interoperability – this is your information, your medical history, your vaccination record, your record of hospitalizations, and you should be able to go anywhere in the world and have that full record available. The provider looking at your record should be able to easily read and interpret your history and any potential issues (i.e., allergies, medications, health conditions, etc.). That same provider should be able to make new notes on your record that are then accessible to the next provider. It should be simple. Large EMR and EHR providers have chosen to keep your information solidly behind a wall of secrecy, allowing minimal interactions with external software providers … a practice allowing them to claim, “We're interoperable.” This paper presents challenges faced by those pushing for available anywhere, anytime health records. Through a review of the present status, challenges, lessons learned, and future pathway, the paper presents ways forward for Africa's low income/developing nations to achieve interoperable health records.
Performance Management Process
Authors: Rajapakshe Wasantha
Published: August 2024

Performance planning and monitoring are crucial for effective performance management in organizations. Performance planning involves setting objectives, defining key result areas (KRAs), and establishing performance expectations aligned with organizational goals. This phase ensures employees understand their roles and responsibilities, providing a roadmap for success through collaborative goal setting, identifying development needs, and outlining performance metrics. Monitoring involves continuous assessment and tracking of employee performance against set goals. Managers monitor progress, provide feedback, and make necessary adjustments to meet goals. Regular check-ins, performance reviews, and feedback sessions foster open communication and accountability. Effective monitoring helps identify strengths, address areas for improvement, and support employee development. Performance planning and monitoring enhance employee engagement, optimize resource allocation, and align individual efforts with strategic objectives.
Performance Management Process
Authors: Rajapakse Vageesha
Published: August 2024

This chapter explains the critical aspects of employee performance evaluation, highlighting its importance in aligning individual goals with organizational objectives to foster development and productivity. It explores traditional and modern performance evaluation methods, including the checklist method, essay appraisal method, rank order method, paired comparison method, and critical incident method, alongside contemporary approaches like management by objectives (MBO), behaviorally anchored rating scales (BARS), and computerized performance monitoring (CPM). The chapter also emphasizes the crucial role of evaluators, while discussing evaluator training methods and the different forms of evaluation interviews they conduct. The chapter further elaborates on strategies to enhance employee participation in evaluation interviews, aiming to promote a culture of continuous improvement and organizational excellence. Through comprehensive analysis and practical examples, this chapter provides a detailed understanding of effective performance evaluation methods and practices.
Artificial Intelligence Its Growing Role in Human Resource Management
Authors: Makhija Monika , Jha Pratiksha , Dubey Neha
Published: August 2024

In this competitive era, the impact of artificial intelligence in human resource management is increasing quickly. Collecting the relevant data and then analyzing it accurately can accelerate the efficient working process of the organization. Artificial intelligence has paved its way in the working of various departments like IT, finance, marketing, and HRM. In this research, the researcher focused on the emerging role of artificial intelligence in HR department and how it is acting as a stimulator in enhancing the efficiency and accuracy of various HR functions like recruitment, hiring, work-life balance, performance appraisal, etc. The chapter is based on descriptive research, in which the researcher has collected secondary data from various research papers, articles, blogs, and websites. The chapter focuses on the growing role of artificial intelligence in the human resource function of the organization.
Exploring the Relationship Between Employee Trust and Silence in Performance Feedback
Authors: Kaur Jaspreet
Published: August 2024

The establishment of effective trust and the management of employee silence in organizations is of paramount importance in cultivating performance feedback to employees. Nevertheless, deficiencies in trust might impede endeavors to establish confidence, thus affecting staff motivation and productivity. This study investigates the role of employee silence as a mediator in the relationship between trust and performance feedback in private hospitals. Data was acquired through surveys assessing trust efficacy, employee silence, and performance feedback, utilizing a sample from selected private hospitals in Punjab. The associations were analyzed using structural equation modeling. The findings demonstrate a strong mediating influence of employee silence on the association between trust effectiveness and performance feedback. This implies that employee silence inhibits the translation of successful trust into transparent performance feedback. The results emphasize the significance of reducing employee silence within hospitals to enhance performance feedback using improved trust strategies.
Remote Work Realities
Authors: Kavya R. , Mathew Jain , Raghavendra A. N.
Published: August 2024

The global work landscape has undergone a paradigm shift with the widespread adoption of telecommuting, a transformation further accelerated by the COVID-19 pandemic. This research delves into the intricate dynamics of telecommuting, focusing on the impact of individual characteristics on the choice to work remotely in the post-pandemic era. It reveals that gender significantly influences telecommuting preferences, while age and years of experience do not show a discernible impact. Beyond individual factors, the study examines how telecommuting attitudes affect task accomplishment, highlighting substantial effects on goal attainment and underscoring the need to understand work arrangement's complexities. Additionally, the research explores the diverse strategies employed by employers and employees, illustrating successful approaches to remote work. Ultimately, this study navigates the evolving telecommuting landscape, offering insights into challenges and achievements, and provides a foundation for future research on telecommuting's impact on work practices and individual well-being.
Understanding the Impact of COVID-19 on the Employee's Productivity and Performance of the Hotel Industries in India
Authors: Baheti Santosh Satyanarayan , Chandna Sneha Sandeep , Shah Rishabh Rajesh
Published: August 2024

The covid-19 pandemic has brought unprecedented challenges and the hotel industry is amongst the other industry who was affected to a large extent, impacting various facets of well- being of the employees' working in the hotel industry. This research paper aims to comprehensively analyse the effect of the pandemic on hotel employees by investigating relationship between the impact of Covid 19, psychological impact, job satisfaction and turnover intention. We review the literature available about how the effects of Covid-19 Pandemic impact the employee job satisfaction as well as turnover intention. The study was carried out keeping the psychological impact of the pandemic as the mediator. We Reviewed and analyzed Scopus and ABDC listed research papers to carry out this literature review. Our results suggest that the covid-19 pandemic has impacted the turnover intention of the employee of the hotel industry, additionally the psychological impact mediates the relationship of Effect of Covid-19 pandemic with job satisfaction and turnover intention of employees.
Gen Z Student Expectations Towards Employer Attractiveness
Authors: Selvakumar J.Joshua , Pachiyappan Sathish , Suganya G.
Published: August 2024

A study was undertaken to determine Generation Z management students' perceptions as to what factors would attract them to seek a career in an organization, and their expectations in this context. Over 330 students from both first- and second-year management programs participated in the self-administered printed questionnaire based on 25-item employer attractiveness scale and included additional items like choosing the top five items from the 25 list. A focus group discussion was also undertaken to determine what the perceived benefit to the students was for each of the 25 items would deliver to them. The study also compared the findings with published research and notes the common factors in terms of employer branding, employee engagement industry studies on work and links to other models like Herzberg's hygiene factors. The results were compared to similar studies conducted in Sri Lanka and Australia and substantive similarities were reported.
Understanding the Role of HR Practices in the Improvement of MSMEs in India
Authors: Baheti Santosh Satyanarayan , Shah Rishabh Rajesh , Chandna Sneha Sandeep
Published: August 2024

Human resource practices are one of the most valuable practices that help the firm to achieve a competitive advantage. With the passage of time, MSME have shown a major shift in its functioning. Employees are at the center if organizations need to climb the ladder of survival, success, and growth. The present study intends to investigate the role of HR practices in the improvement of MSME performance. The study has analyzed double-blind peer-reviewed research papers on the role of HR practices on micro, small, and medium enterprises. With the help of existing research studies, job satisfaction is identified as a mediating variable. The findings of the study suggest that HR practices directly impact employee performance and outcomes attributes. The mediating role of job satisfaction was found to be significant. Empirical results of the study are presented through reliability, correlation, regression, and mediation analysis using SPSS and HAYES PROCESS Macro software.
Medico-Legal Practices and Doctor-Patient Relationship in India's Evolving Healthcare Landscape
Authors: Srivastav Sandeep
Published: August 2024

The Indian healthcare sector is undergoing a rapid transformation, driven by technological advancements, policy reforms, and a growing emphasis on patient-centered care. This dynamic environment presents both challenges and opportunities for healthcare professionals, particularly in the realm of medico-legal practices and the doctor-patient relationship. This chapter will delve into the intricacies of medico-legal practices and doctor-patient relationships within the Indian context. It will explore how these aspects are shaped by evolving healthcare trends, legal frameworks, and ethical considerations. The chapter will conclude by summarizing the key challenges and opportunities surrounding medico-legal practices and doctor-patient relationships in India. It will emphasize the importance of continuous improvement in ethical practices, communication skills, and legal frameworks to ensure a patient-centered and well-regulated healthcare system.
Unveiling the Future of AI in Healthcare Management
Authors: Bharti Ipsa , Chauhan Kavita , Aggarwal Priyanka
Published: August 2024

Artificial intelligence (AI) has influenced healthcare management (HCM) over last two decades through medical imaging interpretation, streamlining administrative process, personalized treatment plans and prognosis. With bibliometric analysis, the chapter aims to underline forthcoming trends, influential authors and directions in the area of AI-driven HCM. Using SCOPUS database to retrieve the articles between 2003-2024, 1515 articles were retrieved after applying validation criteria for article inclusion and exclusion using PRISMA approach. The chapter focused on trends over time, evolution of AI in HCM, journals in which they were published and citation of articles. Moreover, the chapter highlights publication year, influential authors in the field, number of authors impact citation metrics thereby highlighting the benefits of partnerships between different institutions or researchers. By identifing key focus areas and current topics that have received significant attention, this chapter provides guidance to scholars, policy makers, and practitioners in healthcare.
Leadership in Healthcare
Authors: Sahiwal Umang Preet Kaur , Chaturvedi Vijit
Published: August 2024

Healthcare is undergoing a rapid transformation due to the advancement of various technologies, such as artificial intelligence (AI), big data, cloud computing, and telemedicine. These technologies offer numerous benefits and challenges for healthcare delivery, management, and research. This chapter aims to explore the impact of these technologies on healthcare leadership and identify the key competencies and strategies that healthcare leaders need to develop and adopt to thrive in the digital era. The chapter reviews the literature on the current and future trends of technology adoption in healthcare, the opportunities and challenges they pose for healthcare leaders, and the best practices and recommendations for effective healthcare leadership in the age of technology. This chapter will add to the existing body of literature on leadership in healthcare by shedding light on the pivotal role that leadership plays in implementing emerging technologies in healthcare.
Generative AI for Customized Public Policy in Maritime Transport
Authors: Kumar Rupesh , Yadav Chhote Lal
Published: August 2024

Maritime transport is crucial for global trade, transporting over 90% of global goods by volume and facing challenges such as environmental impacts and security threats. Public policy is the key to addressing these issues through regulations that enhance safety, security, and sustainability. Integrating this sector with generative AI can significantly improve predictive maintenance, route optimisation, and accident prevention. AI technologies can process vast amounts of data for real-time decision-making, which is vital for the efficiency and safety of maritime operations. AI can lead to autonomous ships, optimise logistics, and reduce human error. However, integrating AI poses technical barriers such as cybersecurity, significant initial costs, and social hurdles such as job displacement fears. Effective public policy must evolve to address these challenges and promote AI integration while considering ethical and legal implications.
Modelling the Effects of Climatic Variables and Political Instability on the Agricultural Sector in South Asian Countries
Authors: Bhat Rashi , Gupta Meenakshi , Choudhary Tahir Fazal , Singh Ajay Kumar
Published: August 2024

This chapter observes the implication of climatic variables and political instability on agricultural production in South Asian countries. Average precipitation, average temperature, CO2 emission are considered as climatic factors, and gross area under cultivation and political instability are considered as non-climatic indicators in the empirical investigation. Panel ARDL model is adopted to examine the association of above-mentioned indicators with agricultural production. Pedroni cointegration and Kao cointegration tests are also applied to recognize cointegration between the variables. It showed that dependent variables and independent variables have a cointegration. Furthermore, the total area under cultivation and carbon dioxide emission showed a favorable effect on agricultural production. Agricultural production appears to decline as political instability increases in the long run. This chapter also emphasizes the importance of political stability to reduce the negative impact of climate change in the agricultural sector of South Asian countries.
Incorporating Artificial Intelligence for Urban and Smart Cities' Sustainability
Authors: Shafik Wasswa
Published: August 2024

The study provides an overview of the comprehensive exploration of smart cities and their integration of artificial intelligence (AI) for urban sustainability. It covers the definition of smart cities, the importance of AI, key challenges and opportunities, foundational aspects of AI, sustainable infrastructure development, enhancing public services, data governance, citizen engagement, economic development, policy frameworks, future trends, case studies, and conclusions. The study demonstrated that AI assist in surveillance and mitigating environmental threats, such as deforestation, environment destruction, and contamination. Citizen engagement additionally promotes transparency and responsibility, encouraging residents to hold federal government agencies and other stakeholders accountable for their information techniques. The chapter encapsulates the breadth and depth of the discussion within the provided chapter layout, offering insights into the transformative potential of AI in shaping sustainable and inclusive smart cities.
Harnessing Big Data and Machine Learning for Climate Change Predictions and Mitigation
Authors: Arya Suchivrat
Published: August 2024

Climate change presents critical challenges for ecosystems, finance, and societies globally. Rising temperatures and extreme weather events drive the need for adaptation and mitigation strategies. AI, particularly ML and LLM, has gained prominence, aiding in climate risk assessment, flood defense identification, infrastructure resilience, and resource allocation optimization in vulnerable areas. This article examines how AI supports large organizations and grassroots efforts simultaneously to address environmental challenges. It delves into AI's transformative role in climate science through big data analysis, exploring various tools and approaches developed for this purpose.
A Systematic Review of Literature on the Use of Artificial Intelligence for Sustainable Tourism
Authors: Rani Reena , Kanda James
Published: August 2024

The study identifies potential topics and sub-topics in sustainable tourism. The main goal of the study is to review the research regarding the role of AI in the field of sustainable tourism with the help of bibliometric analysis. For the study, a bibliometric approach has been adopted from 2009 to 2024. The authors used Biblioshiny through R studio on 389 documents extracted from Scopus. The descriptive research approach was employed in the study, which was based on document analysis, authors analysis, source analysis, and keyword analysis from the prior studies, and the dimension database was used to collect data for the study. The search queries include all the article's terms “Artificial Intelligence”, “Sustainability”, “Chatbot”, “Sustainable Consumption”, “Tourism” and “Hospitality Industry” in the title. A bibliometric analysis reveals that the related research has exploded in economies like China, the United Kingdom, the USA, and India. The United Kingdom stands out as one of the most cited countries among all.
Deciphering Religious Tourism
Authors: Venugopal Koppala , Kappagantula Madhavi
Published: August 2024

This chapter explores the key drivers of religious tourism in Odisha, India. It investigates the motivational and religious factors that attract visitors, such as spiritual fulfillment, cultural heritage, and seasonal religious events. The study also examines the role of facilities, including transportation, accommodation, and basic amenities, in enhancing tourist satisfaction. Additionally, it evaluates the effectiveness of marketing strategies in promoting Odisha's religious sites and attracting a diverse tourist demographic. The research highlights the critical role of government policies in improving infrastructure, ensuring the sustainability of tourism practices, and addressing the needs of pilgrims. Through ML applications and inferential statistics, this study provides insights into optimizing visitor experiences and developing targeted strategies for sustainable religious tourism. The findings offer valuable recommendations for policymakers, temple authorities, and tourism managers on the ambience, facilities, divine-related events and community development.
Retirement Migration to Thailand
Authors: Thavorn Jakkrit , Thanachokthannapat Koonlanit , Phayaphrom Bordin , Klongthong Worasak
Published: August 2024

This study explores the impacts of retirement migration in Thailand, examining factors influencing retirees' decisions and the development of tourist destinations. Grounded in the push-pull theory, this study extends the theory to include tourism considerations specific to retirement migration. The research analyzed responses from 160 expatriates via a questionnaire. Multiple linear regression was employed to assess the impact of various factors on the decision to retire in Thailand. The results show that health and wellness, climate, and cultural richness positively influence retirement decisions, whereas cost of living and travel have a negative impact. The findings contribute to the academic fields by demonstrating how retirement migration can align with tourism goals. This study suggests effective management of the retiree influx can support economic sustainability while maintaining the environmental and cultural integrity of host communities. These insights are vital for policymakers aiming to develop strategies that cater to the growing demographic of international retirees.
Luxury Niche Tourism
Authors: Dhanapal Kesavan , Sivaprakkash S. , Marianand N.
Published: August 2024

This research explores factors influencing intentions to invest in sustainable luxury tourism. The authors analyzed demographic variables, travel motivations, environmental awareness, and technology usage. Gender, age, and income did not significantly impact investment intentions, suggesting universal appeal. Specific travel motivations and environmental awareness also showed limited influence. Personal values and ethical considerations play a more pivotal role. Marketing strategies should prioritize personalized approaches. The authors used descriptive statistics, ANOVA, and regression analysis. Results indicated moderate agreement on sustainable luxury travel's importance. Travel motivations, environmental awareness, technology usage, and social influences did not significantly drive investment decisions. This research highlights the need for a deeper focus on personal values to promote sustainable luxury tourism effectively. The target audience for this research includes stakeholders in the tourism industry, policymakers, marketers, and researchers who are focused on sustainable luxury tourism.
The Ethics of Astrobiology and the Cosmic Bet Argument
Authors: Lo Sapio Luca
Published: August 2024

Stephen Weinberg posited in 1977 that as the universe becomes more comprehensible, it appears more meaningless owing to a strict division between facts and values. He seemingly overlooked the consideration of the purposes and values of intelligent life in examining its ability to influence the universe's development. The scientific revolution, initiated by Copernicus's heliocentric hypothesis and furthered by Darwin's theory, shifted humanity's perceived place in the cosmos, removing the sacred. However, developments in astrobiology and discoveries related to the Fermi Paradox and the Rare Earth Hypothesis are hinting at humanity's significant role in the universe, suggesting we might be the only intelligent species. This paper argues that advancing scientific knowledge reinforces the hypothesis of human exclusivity and importance in the cosmos, making the potential sixth mass extinction cosmically significant and underscoring the imperative of human persistence in the cosmos.
Cultura alimentar indígena e os cuidados da cunhã, trocas culturais e educação não escolar na Amazônia colonial
Authors: Abbate Francídio Monteiro , Albuquerque Maria Betania Barbosa
Published: August 2024

O artigo analisa os usos da mandioca como planta de civilização e o papel das mulheres indígenas como mediadoras de saberes alimentares na Amazônia colonial. Inspirado na história cultural, ressalta aspectos da vida cotidiana ao conceber a alimentação não apenas pelo viés nutricional, mas também como mediadora de processos educativos e de circulação de saberes. As trocas culturais em torno do alimento possuem caráter educativo, pois informavam o fluxo global de pessoas e permutas entre cozinhas ameríndia, europeia e africana. As mulheres indígenas são flagradas como educadoras, posto que garantiam os cuidados cotidianos e ensinavam os saberes alimentares necessários à sobrevivência tanto dos naturais quanto dos colonizadores.
Influence of Silicon on Solidification Behavior, Microstructure and Oxidation Resistance of Gray Iron for Cookware Applications
Authors: Amatachaya Kandit , Kallaya Natchanon , Worakhut Kittirat , Boonyarit Worachot , Wanmai Nidchanan , Boonmee Sarum
Published: August 2024

Gray iron, a widely used engineering material, is favored for its desirable properties such as good damping capacity, thermal conductivity, and corrosion resistance. However, when exposed to elevated temperatures over time, issues like oxidation and graphite depletion can impact its durability. High-silicon gray iron, with elevated silicon content exceeding 3.0%, is known for its ability to withstand heat and oxidation, making it suitable for many applications, including cookware. This study investigates the impact of varying silicon levels (2.00-4.56%Si) on the solidification behavior, microstructure, and oxidation resistance of gray iron. Three heats with different silicon concentrations were produced and analyzed. Results indicated that higher silicon content increases the eutectoid temperature, stabilizes the ferritic structure, and introduces Type-D graphite in the microstructure. Graphite depletion was observed only in samples with 2.00%Si. The oxidation resistance improved with higher silicon content, as evidenced by a decrease in weight gain after exposure to 800 °C for 4 hours. This suggests the potential of using lower silicon levels in gray iron for cookware applications, balancing material cost with good impact resistance.