bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Machine Learning Models for Prediction of Autism Spectrum Disorder Using Screening Data
Authors: Yeap Ming Yue , Chua Stephanie , Bramantoro Arif
Published: October 2024

Autism spectrum disorder (ASD) is a neurological and developmental disorder that affects how people interact with others, communicate, learn, and behave. ASD prediction is difficult because the diagnostic factors may not be based solely on observation. In this research paper, an in-depth comparative analysis of various machine learning models applied to the task of classifying autism traits was presented. Our study aimed to assess the performance of these models within the context of identifying individuals with autism based on relevant features and data. The machine learning models investigated in this study encompassed Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), k-Nearest Neighbours (KNN), Naive Bayes (NB), and Neural Network (NN). The models were evaluated using six essential classification metrics: accuracy, precision, recall, specificity, F1 score, and AUC score. On the training dataset, our results reveal nuanced performance characteristics. SVM and RF excel in precision and recall, showing promise for accurate autism trait classification. KNN exhibits remarkable specificity, suggesting its potential for minimizing false positives. LR and NB demonstrate balanced performance across multiple metrics, while NN exhibits high precision and recall, albeit with higher computational demands. It was concluded that SVM was the best classification model for autism trait classification.
Systematic Review of Consumer Price Index Methods and Software: Evidence from ASEAN Countries and Scholarly Research
Authors: Zulkifli Faiz , Zainal Abidin Rozaimah , Mohd Deni Sayang , Yahaya Muhammad Syawalludin , Lokman Nur Maisarah , Mohamed Zulkifley , Abuzaid Ali H.
Published: October 2024

This comprehensive systematic review provides an in-depth analysis of consumer price index (CPI) methods and software use in Asian countries. The study looks at the practises used by countries to calculate CPI, with an overwhelming preference for monthly calculations, reflecting the dynamic economic growth of the region. The use of household expenditure surveys and weighting sources ensures that CPI accurately captures changes in consumer spending patterns and the relative importance of different goods and services. Applications of CPI in Asian countries cover a wide range, including indexation of wages, pensions and social security contributions, as well as its central role as a main indicator for monetary policy decisions, macroeconomic modelling and various analytical purposes. The systematic review highlights various calculation methods for CPI, including the Carli index, the Laspeyres index, the chained Jevons index and the Dutot index, each of which has different strengths and weaknesses that affect the accuracy and reliability of CPI's measurements. In terms of software, the study encounters a range of applications, including Microsoft Excel, SAS, STATA, R, Python, EViews and SPSS, each offering versatile capacities for statistical analysis and econometric modelling. In addition, the study explores potential software alternatives such as Gretl, Julia, EpiData, GNU Octave, Tableau, Matplotlib, Seaborn and QGIS, whose suitability for CPI calculations should be considered. The research findings highlight the importance of transparent and accurate CPI calculations in shaping effective policy decisions. Policy makers can use these findings to refine CPI measurements to enable well-informed strategies to steer the economy. The study suggests avenues for future research that include assessing specific impacts of CPI calculations, further developing software tools, and incorporating consumer perceptions into CPI development.
Heat Emission from All Time Headlights On: A Comparative Analysis of 45W Halogen and LED Bulbs in the Context of Road Safety and Environmental Impact
Authors: Narayan Dalvi Akash
Published: October 2024

Synopsis: This study examines the amount of heat generated by 45W halogen and LED motorcycle headlight bulbs under normal riding circumstances. The study is being carried out in accordance with Notification No. G.S.R. 188(E), dated February 22, 2016, which outlines India's All Time Headlight-On (AHO) mandate. This study compares the thermal energy produced by 12V halogen and LED headlights with daily travel of 1 hour. It also covers the effects of AHO on traffic safety, how LED technology lowers heat dissipation, and the environmental effects of AHO, especially in relation to carbon emissions.
Impact of Conflit on Children Vaccination: Evidence from Central North, North and Sahel Regions of Burkina Faso
Authors: G. Poda Ghislain , Sy Ousmane , Traore Fatoumata , Diarra Cyprien , Dao Fousseni , Bamogo Daouda , Tassembeodo Patrick
Published: October 2024

Background: Low immunization coverage and epidemics of vaccine-preventable diseases epidemics are a major concern in conflict-affected countries, particularly in the particularly in sub-regions most affected by conflict.  Objective: To assess the factors associated with immunization coverage among children living in insecure or conflict zones in the Central North, North and Sahel regions of Burkina Faso.  Methodology: Descriptive, cross-sectional study cross-sectional study using a questionnaire to determine the factors associated with immunization coverage of children in conflict zones in Burkina Faso. The study population consisted of mother-child pairs under two years of age.  Results: A total of 384 mother-child pairs took part in the study and more than three-quarters (84.6%) of children were aged between 6 and 12 months. Only 28.4% of children were completely vaccinated. Several factors were associated with incomplete vaccination, including the child's advanced age, the mother's young age, illiteracy, not possessing a vaccination card, inaccessibility of health services, distance from a health center, duration of the conflict, displacement of families, and loss of a family member.  Conclusions: Children in conflict zones are at higher risk of being under-immunized. The findings emphasize the importance of prioritizing targeted interventions and vaccination programs in conflict-affected areas of Burkina Faso to improve immunization coverage.
Effect of Health on Economic Growth in the Republic of Congo: The Case of Manultrition
Authors: Carine Divine MASSAMBA AWA , Gamerine Florès MADINGOU BOUANA
Published: October 2024

Introduction: This study examines the relationship between health, specifically malnutrition, and economic growth in the Republic of Congo. There is growing concern about the deteriorating nutritional status of the population, characterized by high rates of malnutrition (FAO, 2012). This work aims to reassess the effects of malnutrition on long-term economic growth, based on theoretical frameworks established in the economic literature.  Methodology: The model used is an augmented version of Solow model, incorporating health and education as components of human capital, folloxin the approach of Mankiw and al (1992) and Knowles and Owen (1995). The data come from various sources, including the World Bank, the World Food Program (WFP), the FAO and UNESCO. An Error Correction Model (ECM) was applied to assess the long-term effect of malnutrition, measured by the Food Deficit in Kilocalories per person per day, on economic growth measured by Gross Domestic Product in Congo.  Results: The resuts show that malnutrition has a significant and negative effect on long-term economic growth in the Republic of Congo. Each increase in the food deficit leads to a significant drop in GDP, underlining the importance of improving nutritional status to stimulate economic growth.  Discussion and Conclusion: The study highlights the crucial role of health and nutrition in economic growth. It is therefore essential to adopt public policies aimed at reducing malnutrition in order to promote sustained and sustainable growth in the Republic of Congo.
Hoe markteconomieën op termijn zichzelf ondermijnen
Authors: Desmet André
Published: October 2024

De opvatting dat de markteconomie een modern fenomeen is, dat in een haast lineaire beweging voor steeds meer welvaart en welzijn zorgt, moet worden herzien, beargumenteert economisch-historicus Bas van Bavel.
Interaktivitas Cyberbranding Pada Speedjersey Di Media Sosial Instagram
Authors: Sena Senjani  , DimasAgung Pratama  , Dudi Sugandi
Published: October 2024

Perkembangan industri fashion olahraga di Indonesia semakin berkembang pesat setiap tahunnya, mulai dari promosi yang sangat menarik hingga diskon yang ditawarkan untuk menarik minat konsumen untuk membeli produknya. Apparel Pakaian Olahraga Speed Jersey merupakan produk kebanggaan lokal yang selalu belajar untuk menghasilkan produk yang berkualitas sehingga dapat menjawab kebutuhan konsumen khususnya pada pakaian olahraga, yang terdiri dari beberapa kategori antara lain: speed cycling, speed running, speed moto, speed shooting, speed muslim, speed casual dan aksesoris olahraga. Tujuan dari penelitian ini adalah untuk mengetahui interaktivitas, pengemasan informasi, dan karakteristik yang dibentuk oleh Apparel Pakaian Olahraga Speed Jersey dalam melakukan branding dengan menggunakan tim olahraga melalui Instagram @speed_jersey. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan pendekatan studi kasus. Hasil penelitian menunjukkan bahwa interaktivitas pada media sosial Instagram @speed_jersey merupakan upaya untuk menjaga hubungan dan meningkatkan brand awareness dengan melibatkan followers, proses pengemasan informasi yang diberikan juga sudah cukup baik dengan melibatkan dua jenis konten, yaitu konten yang berkaitan dengan promosi dan kerjasama, serta ciri khas dari Speed Jersey adalah menampilkan konten olahraga yang menginspirasi followers untuk bergerak bersama menjaga kesehatan tubuh.
Variety show grup Seventeen dalam Memenuhi Kebutuhan Hiburan
Authors: Nur Muharmanis Putri  , Siti Nursanti  , Fardiah Oktariani Lubis
Published: October 2024

Penelitian ini berjudul "Variety show Seventeen Group dalam Memenuhi Kebutuhan Hiburan." Penelitian ini dilatarbelakangi oleh tren di kalangan perusahaan hiburan K-pop yang gencar memanfaatkan media, khususnya dengan membuka kanal YouTube. YouTube menjadi peluang untuk menarik perhatian penggemar dan meningkatkan popularitas melalui produksi konten yang menghibur dan menarik dalam bentuk variety show. Penelitian ini bertujuan untuk mengetahui sejauh mana pengaruh variety show "Going Seventeen" terhadap penyediaan kebutuhan hiburan penggemar grup Seventeen. Penelitian ini menggunakan metode kuantitatif dengan memanfaatkan Teori Uses and Gratification dengan populasi pengikut akun @caratstalkx yang diambil melalui non-probability purposive sampling. Pengumpulan data dilakukan melalui kuesioner menggunakan Google Forms dan analisis data menggunakan skala Likert. Penelitian ini menyimpulkan bahwa “Going Seventeen” memberikan pengaruh yang signifikan terhadap pemenuhan kebutuhan hiburan penggemar grup Seventeen, yaitu sebesar 67,2%. Hipotesis yang diterima dalam penelitian ini adalah H1 yang menunjukkan adanya hubungan antara variety show "Going Seventeen" dengan memberikan kebutuhan hiburan penggemar grup Seventeen.
Sustainable development goals in Kazakhstan’s academic landscape: a critical bibliometric study on sustainable development
Authors: Meidutė-Kavaliauskienė Ieva , Abdurakhmanova Assem , Cigdem Semsettin , Činčikaitė Renata
Published: October 2024

Purpose – The purpose of this study is to conduct a bibliometric analysis of the academic activities of Kazakhstan’s academics and to present a comprehensive map of the academic landscape in the country.
Research methodology – The study combines synthesis and comparative scientific analysis of concepts and methods in the literature. It involves secondary data analysis, statistical processing, and bibliometric analysis to gather and interpret the data.
Findings – The analysis reveals a significant gap between the practical applications of Sustainable Development Goals (SDGs) in Kazakhstan and the academic research on the topic. Furthermore, academic activities and practices in Kazakhstan do not align well with the official reports on the SDGs. While some SDGs have comparable publications in Kazakhstan to global averages, others present distinct challenges and problematic issues unique to the country.
Research limitations – The study faces limitations due to the lack of data or difficulty accessing relevant information.
Practical implications – This research is crucial for promoting SDGs as it aids in understanding global issues, identifying knowledge gaps, and fostering interdisciplinary collaboration to ad- dress complex issues related to sustainable development. Additionally, examining a country’s academic activities through the lens of SDGs is essential for assessing the nation’s academic awareness and engagement with these global goals.
Originality/Value – The article provides a unique and valuable perspective on integrating sustainable development goals within Kazakhstan’s academic landscape, highlighting achievements and areas needing improvement
An Unidentified Fermi Source Emitting Radio Bursts in the Galactic Bulge
Authors: Anna-Thomas Reshma , Burke-Spolaor Sarah , Law Casey J. , Schinzel F. K. , Aggarwal Kshitij , Bower Geoffrey C. , Connor Liam , Demorest Paul B.
Published: October 2024

We report on the detection of radio bursts from the Galactic bulge using the real-time transient detection and localization system, realfast. The pulses were detected commensally on the Karl G. Jansky Very Large Array during a survey of unidentified Fermi γ-ray sources. The bursts were localized to subarcsecond precision using realfast fast-sampled imaging. Follow-up observations with the Green Bank Telescope detected additional bursts from the same source. The bursts do not exhibit periodicity in a search up to periods of 480 s, assuming a duty cycle of <20%. The pulses are nearly 100% linearly polarized, show circular polarization up to 12%, and exhibit variable scattering on timescales of months. The arcsecond-level realfast localization links the source confidently with the Fermi γ-ray source and places it nearby (though not coincident with) an XMM-Newton X-ray source. Based on the source’s overall properties, we discuss various options for the nature of this object and propose that it could be a young pulsar, a magnetar, or a binary pulsar system.
Hybrid-Vlasov Modelling of Ion Velocity Distribution Functions Associated with the Kelvin–Helmholtz Instability with a Density and Temperature Asymmetry
Authors: Tarvus Vertti , Turc Lucile , Zhou Hongyang , Nakamura Takuma , Settino Adriana , Blasl Kevin , Cozzani Giulia , Ganse Urs , Pfau-Kempf Yann , Alho Markku , Battarbee Markus , Bussov Maarja , Dubart Maxime , Gordeev Evgeniy , Tesema Kebede Fasil , Papadakis Konstantinos , Suni Jonas , Zaitsev Ivan , Palmroth Minna
Published: October 2024

The Kelvin–Helmholtz instability (KHI), characterized by vortices forming at a perturbed velocity shear layer, is a prominent candidate mechanism for mass, momentum, and energy transport across boundaries with velocity shear in various space plasma environments. It is of particular interest at the flanks of Earth’s magnetopause, which separates the plasma of the magnetosphere from the adjacent shocked solar wind flow in the magnetosheath. In the present study, we use local hybrid-Vlasov simulations to investigate the ion velocity distribution functions (VDFs) associated with KHI in a magnetopause-like, transverse velocity shear layer setting (magnetic field perpendicular to the shear plane). We look for signatures of ion finite Larmor radius (FLR) effects, which could be utilized in spacecraft measurements to recognize when such effects are active, influencing KHI evolution and driving plasma mixing. We show that when a density/temperature asymmetry exists across the shear layer, FLR effects produce a heat flux along the vortex edges. With a magnitude (≳0.1 mW m−2) that is a significant fraction of the total magnetosheath energy flux, the heat flux provides a distinct signature that could be measured with a single spacecraft. During the late nonlinear stage of KHI, mixed non-Maxwellian ion VDFs are additionally found within the vortices. Our results are also valid in the presence of a small magnetic shear across the magnetopause.
The Lower Limit of Dynamical Black Hole Masses Detectable in Virgo Compact Stellar Systems Using the JWST/NIRSpec IFU
Authors: Tahmasebzadeh Behzad , Lapeer Andrew , Vasiliev Eugene , Valluri Monica , Taylor Matthew A. , Thompson Solveig
Published: October 2024

Due to observational challenges, the mass function of black holes (BH) at lower masses is poorly constrained in the local universe. Understanding the occupation fraction of BHs in low-mass galaxies is crucial for constraining the origins of supermassive BH seeds. Compact stellar systems (CSSs), including ultracompact dwarf galaxies (UCDs) and compact elliptical galaxies (cEs), are potential intermediate-mass BH hosts. Despite the difficulties posed by their limited spheres of influence, stellar dynamical modeling has been effective in estimating central BH masses in CSSs. Some CSSs may harbor a BH constituting up to 20% of their host stellar mass, while others might not have a central BH. In support of our ongoing efforts to determine the BH masses in select CSSs in the Virgo cluster using JWST/NIRSpec IFU observations and orbit-superposition dynamical models, we create mock kinematic data mimicking the characteristics of observed cEs/UCDs in the Virgo cluster with different BH masses. We then construct a series of dynamical models using the orbit-superposition code FORSTAND and explore the accuracy of recovering the BH mass. We find that the mass of BHs comprising 1% or more of the total host stellar mass can be accurately determined through kinematic maps featuring higher-order velocity moments. We also assess how BH mass measurement is affected by deprojection methods, regularization factors, anisotropy parameters, orbit initial conditions, the absence of higher-order velocity moments, the spatial resolution, and the signal-to-noise ratio.
Análisis sectorial de la intervención de la Iniciativa Nacional para el Desarrollo Humano (INDH) en la provincia de Chefchaouen (norte de Marruecos): primera fase (2005-2010)
Authors: Laghdas Mohamed , Cejudo García Eugenio , Navarro Valverde Francisco Antonio
Published: October 2024

Marruecos conoció durante muchas décadas unas políticas públicas de desarrollo que apenas tuvieron éxito, y más aún si cabe si se habla en términos sociales. La puesta en marcha de la Iniciativa Nacional para el Desarrollo Humano (INDH) se considera un punto de inflexión en estas políticas en el ámbito de la lucha contra la pobreza y las desigualdades. Con el fin de “descubrir” “las tendencias sectoriales de la INDH, en esta investigación se analiza la intervención de esta Iniciativa en la provincia de Chefchaouen. Para ello, se han examinado todos los proyectos implementados y se ha creado una base de datos en función del volumen de proyectos, inversión total y subvención recibida según sectores. Se destaca la orientación “razonable” hacia la mejora del capital humano, a la educación. Sin embargo, se revela también la insuficiencia de actuaciones en actividades productivas, y la ausencia de otras con enorme potencial, como la turística.
Propuesta teórico-metodológica para el estudio de los espacios de borde: aplicación en el rururbano de la ciudad de Bahía Blanca (Buenos Aires, Argentina)
Authors: Sereno Claudia A.
Published: October 2024

El rururbano, espacio de borde, presenta el desafío de estudiarlo de manera holística con el fin de intervenir con acciones que contemplen los intereses de los actores que viven, transitan y deciden en estos sitios. El trabajo, entonces, presenta una propuesta teórica-metodológica multimétodo, para abordarlo desde cuatro ejes de análisis que abarcan el estudio de su configuración espacial, de su estructura social, de los encuentros y desencuentros que se originan en este ámbito debido a las presiones globales-locales a las que están expuestos sus residentes y de las respuestas/estrategias que se ponen en marcha en este escenario complejo y dinámico. En este marco, las entrevistas semiestructuradas, la observación (flexible y estructurada) así como la implementación de un SIG, constituyen procedimientos cuali y cuantitativos que favorecen triangular datos y hacer un análisis integral del rururbano de la ciudad de Bahía Blanca, donde se aplica la propuesta. Este estudio permite captar la complejidad del rururbano desde la mirada de sus residentes; aporta argumentos válidos para entender este borde desde el riesgo y la vulnerabilidad para los habitantes rurales y más antiguos de área y reconoce el actual potencial y riesgo del este espacio para convertirse en urbano, pero supeditado a las decisiones de los residentes del lugar -consecuencia de los sentimientos hacia el lugar y la actividad que practica, así como de su anclaje territorial- y a la puesta en marcha de estrategias de resistencia y adaptación que determinarán la propensión al cambio y la velocidad con la que esto ocurra.
Evolución de los episodios de inundación en la Comunidad de Madrid: factores territoriales y sinópticos
Authors: Jiménez Blasco Beatriz Cristina , García Rodríguez Mª Pilar , García Alvarado José Mª , Pérez González Mª Eugenia
Published: October 2024

A pesar de que la Comunidad de Madrid no tenga un riesgo elevado de inundación, sí ha tenido en el pasado cierta recurrencia y actualmente mantiene eventos ocasionales que generan elevados costes. Se realiza un exhaustivo inventario a partir de fuentes documentales, recopilando información de 138 inundaciones entre 1836 y 2021. Con ella se explica la causalidad de la distribución espacial de los casos, tanto en cuanto a algunos de sus componentes físicos, como antrópicos. Destaca el enorme peso entre la relación de la pendiente y la red hidrográfica con la ocupación urbana, en la que se toma como indicador la densidad de edificios por hectárea. Se pone de manifiesto que las áreas más vulnerables han sido históricamente Aranjuez y Madrid ciudad, mientras que en la actualidad se incorporan los municipios del sur y este de la Comunidad. El estudio de las causas sinópticas de las inundaciones ha revelado un cambio entre las inundaciones históricas y las actuales. Entre las primeras, dominaban hasta mediados de los años cincuenta del siglo XX los tipos de tiempo zonales y advecciones atlánticas propios del invierno, de varios días de duración, responsables de precipitaciones elevadas en una cuenca del Tajo todavía sin regular. En las últimas décadas, las mejoras de infraestructuras hidráulicas y la intensa expansión urbana ciñen las inundaciones preferentemente a precipitaciones elevadas puntuales asociadas a DANAs en cualquier época del año y a pantanos barométricos, característicos de la estación estival.
Innovative CRM Strategies for the Modern Social Marketing Landscape
Authors: Upreti Kamal , Kuwar Vishakha , Haque Mustafizul
Published: October 2024

Social Marketing inspires changes of attitudes and behavior. It is not commercial. Social marketing encourages non-commercial organization to create social good. Social Marketing does not sell or advertise commercial product or service, it offers and promotes healthy, harmony of life with its type of behavior and the attitude. But despite all of this it needs to study CRM data with a significant role. It was found a gap in the literature, considering the scarcity of pertinent case studies within the academic literature. Study delves into a range of performance indicators, including conversion rates, considerations, awareness levels, target sales achievements, quarterly sales figures, market insights (encompassing competition studies and PLI scheme evaluations), and accounts receivables. Additionally, study explore the lead scoring process and its repercussions on the outcomes of both won and lost orders, with a keen focus on funnel conversion metrics.
Leveraging Internet of Things Applications With Service-Oriented Computing for Supply Chain Operations
Authors: Pal Kamalendu
Published: October 2024

Globalization and digitalization have shaped supply chain operations management in recent years. There is a growing focus on using the Internet of Things (IoT) to develop decision support systems for supply chain operations. These systems collect and process business operational data to create services for stakeholders. The chapter introduces a knowledge-based approach to designing and implementing these operational service supports based on relevant web services. Emphasizing the critical role of semantic interoperability is accomplished through ontologies and similarity assessment methods. The practical application of these theoretical concepts is not just a possibility but a reality, and this demonstration will engage the business stakeholders, making them feel reassured about the feasibility of the digital transformation of supply chain operations. Finally, the chapter provides a business case highlighting the purpose of ontologies, an algorithmic concept similarity assessment, and the usefulness of ontology in developing operational service design.
Ontology-Based Semantic Tools for Evolvable Manufacturing Systems Integration
Authors: Labbi Hafsa , Sekkat Souhail , Zemmouri El-Moukhtar
Published: October 2024

Throughout history, manufacturing systems paradigms have evolved significantly to meet the changing needs of society, from dedicated transfer lines to evolvabe production systems (EPS). Evolvable Production Systems are designed for swift response to market changes, pose a complex integration challenge due to component heterogeneity. Ontology-based semantic tools facilitate this integration by providing a common language for components. This chapter reviews the evolution of manufacturing systems paradigms by the emergence of Industry 4.0 technologies. It also explores the ontology-based semantic tools for EPS integration and reviews the existing ontologies for manufacturing systems. It highlights representative ontology development methodologies and concludes with future trends in ontology-based evolvable manufacturing systems development.
Managing Waste Within Supply Chain
Authors: El Krami Yousra
Published: October 2024

The focus of our chapter is to determine the extent to which lean manufacturing and lean digital 4.0 are complementary when it comes to reducing waste in the production chain. Indeed, Industry 4.0 is increasingly presented as a must for improving productivity and ensuring economic growth in manufacturing companies. On the other hand, many companies have already partially or fully implemented Lean principles and tools. A number of aspects remain to be clarified regarding the existing links between Industry 4.0 and the Lean approach: is there a hierarchy, improvement or complementarity between the two approaches? What are the links between the two approaches? This chapter seeks to highlight the links that exist between the two approaches in terms of continuous improvement and operational performance. To this end, we have highlighted the principles and technologies proposed by lean manufacturing and Industry 4.0 respectively. We have also discussed the theory of constraints, which has been applied in lean manufacturing circles.
The Role of Artificial Intelligence in Employee Wellness and Mental Health
Authors: Papademetriou Christos , Ragazou Konstantina , Garefalakis Alexandros , Anastasiadou Sofia
Published: October 2024

Purpose This chapter investigates the function of Artificial Intelligence (AI) in improving employee well-being and psychological well-being. The goal is to investigate how AI-driven systems and instruments are being used to assist workers' mental and physical health, to assess how well they are working, and determine the advantages and drawbacks related to their implementation. This chapter addresses how AI can be used to improve worker happiness and whether there are any downsides to employing this type of technology. Rather than viewing AI as a danger, HRM departments can reverse the script by leveraging its power to monitor and improve the health of their staff.
A Perspective Study on the Role of AI on EI and Its Influence on Employees
Authors: Karlapudi Thriveni Kumari
Published: October 2024

In the past few years, it is been observed that there has been a rise in the growth of Artificial Intelligence (AI) especially in Indian Service Sectors. Moreover, it is identified that AI popularity has been influencing Emotional Intelligence (EI) among the employees working in Indian service sectors like Education, Health care, Tourism, Information Technology, Hospitality, Insurance, and Hotel Industry. In fact, for all the levels of employees working in Indian Service sectors, EI has been an inspiring word. Moreover, to ensure the growth of the organizations, they look upon technological advances. This would support employees KRA (Key Result Area) and remain focused on developing people and resources that move them forward. It is known that a person with high EI would experience favorable KRA in their profession, family, and society and ultimately it would lead to good relations in family and workplace. Therefore, the present study would help us to understand the role of AI on EI among the employees working in Indian Service sectors and its influence on employees KRA.
Analyzing Leadership Style, Organizational Commitment, and Career Development Opportunities
Authors: Siddiqui Neha Nazneen , Srivastava Abhay
Published: October 2024

This chapter analyzes the motivation factors among employees of the two largest Indian carriers. Indigo and Jet Airways, in a comparative perspective investigate the effects of leadership style, corporate commitment, and career development on motivation in ground staff employees. This study adopts a mixed-method approach to investigate differences in these motivational factors between the two airlines, using employee surveys and statistical regressions. Results suggest that Indigo scores above Jet Airways regarding leadership practices, organizational commitment, and career opportunities for current employees. It seems these components come together to enable a cycle in which employees are driven and motivated, at Indigo. It is proposed that the three-legged stool of motivation - rooted in inclusive leadership, personal dedication to empowerment at an individualistic level, and family-like benefit practices are likely combined key components in driving positive employee engagement outcomes for middle management employees.
Mining Minds Sentiment Analysis of Public Perception and Awareness on Climate Change for Environmental Sustainability
Authors: Murthy Yamijala Suryanarayana , Rabby Fazla , Gandhi Amita , Bansal Rohit
Published: October 2024

Understanding public views and consciousness of climate change is crucial for environmental sustainability amid worsening climatic difficulties. This analysis investigates how emotion analysis can extract and assess gigantic amounts of written data from social networking, news outlets, and other general forums. This examination looks to comprehend general assessment by surveying singular sentiments to find significant patterns and issues that shape the climate change story. This feeling investigation will notify social commitment and natural support estimates. This system demonstrates how progressed explanatory strategies can be connected to natural research to enhance general understanding of maintainability. Furthermore, this examination proposes that broad sentiment examination of online networks can deliver important insights regarding evolving crowds and worries. Additionally, this sentiment-based methodology recommends new pathways for public-private joint efforts to advance maintainable advances through improved connecting with rising populace sections.
Monitoring of Environmental Analysis in Twitter Dealt With Pollution Probability
Authors: D. Rajani D. , Rambabu Gottipati Venkata , Dutt Amit , Karuna G. , Mohammed Q.
Published: October 2024

The presence of pollutants in locations poses a threat to both human health and the environment, potentially resulting in severe pollution disasters and public outrage. Hence, effective risk management requires monitoring public opinions on hazardous areas. Traditional questionnaire experiments are restricted by constraints related to time, financial resources, and the size of the target population. Utilising social media channels, the current research monitored popular perceptions of polluted locations within the urban concentration of the Yangtze River Delta. Aggregating 6802 public feedback from social media platforms, Use the topic modelling, pollution, and spatial mining tools. Public views on polluted areas tend to centre on the following: methods for prevention and control, enforcement of laws, advancements in the coal industry, environmental lawsuits, inspections and corrections of pollution, green development, and ecological management, with varying intensities.
Integration of Big Data Text Mining and Sentiment Analysis on Public Prediction of Business Environment
Authors: Dhilipan C. , Asghar Bilal , Devaraj Rajesh , Purushothaman G. , Anand M. Clement Joe
Published: October 2024

Currently, the only tools available for researching the business environment are questionnaires sent to specific groups or official database measures. Public perception is a crucial determinant contributing to the assessment of the business surroundings. The objective of this study is to investigate how the general public views the business situation by seamlessly combining large-scale text mining with sentiment assessment. The consequences indicate that the mixture of extensive text data mining with sentiment analysis (SA) may effectively capture the public's perception of the business ecosystem, reduce bias in sentiment analysis, and successfully convey thematic components. Furthermore, the empirical research revealed that the public, apart from all four elements of the business environment, actively influences the public's perception of the business surroundings.
Exploring Motivations for Pre-Loved Luxury Handbag Purchases
Authors: Neves Cidália , Machado Isabel , Tavares Laura A.
Published: October 2024

The pre-loved luxury market, particularly for handbags, is undergoing a period of rapid growth, driven by digital platforms and attracting younger consumers who are more environmentally conscious. This chapter identifies the key motivations for purchasing pre-loved luxury handbags, considering Self-Determination Theory (SDT), including hedonic pleasure, economic benefits, social belonging and a desire for uniqueness. The authors identified new motivations for purchasing pre-loved luxury handbags based on a survey of 1,002 respondents: circumventing luxury brand exclusivity, creating social media content, finding sold-out items, addressing past purchase regrets, and the limited online availability of certain handbags. The findings of this study highlight the significant influence of pleasure and exclusivity on consumer behavior and, provide valuable guidance for brands and online platforms to effectively engage with this market.
Industry Evolution, Current Trends, and Future Perspectives
Authors: Rani Jyoti , Guru Ramratan , Santhanam Sakthivel
Published: October 2024

This paper explores the rise of the global luxury brand industry and re-evaluates previous understandings of luxury brands, aiming to demonstrate unique aspects of luxury consumption and highlight significant developments in existing literature while advocating for a consumer-centric approach to luxury branding. It examines the industry's development, discusses macro-environmental trends affecting luxury brand consumption, critically reviews existing literature, and provides future research directions. The study reveals that luxury brands represent a unique form of branding, conveying distinct sociocultural and individual meanings to consumers, influenced by significant cultural, social, and external trends, thus prompting researchers and practitioners to adopt a consumer-centric approach. Emphasizing the need to shift focus from the inherent characteristics of luxury brands to the phenomenological experiences and sociocultural influences defining brand luxury in post-modern consumer culture, study identifies two specific areas for future research to address these evolving dynamics.
Luxury Fashion Consumption and Branding in the Affluent Market
Authors: Tarnanidis Theodore , Papachristou Evridiki , Karypidis Michail , Manda Vijaya Kittu
Published: October 2024

The aim of this chapter is to analyze brand names and their potential impact on consumer behavior when making luxury fashion purchases. Secondary research was carried out to investigate this issue by analyzing the results of older and modern studies available in foreign language bibliography. The theoretical issue of brand management in luxury fashion marketing was examined in the first section. According to the literature review, brand building is a demanding process that requires the consideration of many critical parameters. A thorough understanding of the target audience and a commitment to maintaining the brand's exclusivity, quality, and popularity are necessary for luxury marketing and branding. Creating a strong emotional connection is a priority for the strategy's focus on brand name factors. After that, we will talk about consumer behavior and the most significant trends in the luxury fashion market for affluent consumers.
A Holistic Perspective
Authors: Anand Arpan , Kalra Aayushi
Published: October 2024

In today's interconnected global world, luxury marketing is going through a significant change. It is now embracing sustainable practices while dealing with the complex differences between various cultures. This chapter examines the challenges of practicing sustainable luxury marketing across different cultures. It looks at the need for adapting to different cultures, how luxury is perceived, the role of immersive technologies, and how sustainability intersects with cultural values. The chapter also explores the ethical issues that arise from balancing exclusivity and inclusivity, as well as the risks of cultural appropriation. It also discusses strategies for measuring and communicating cross-cultural sustainable luxury marketing efforts, emphasizing the importance of collaborating on sustainability reporting and creating compelling stories.
Navigating Cultural Nuances and Masstige Challenges
Authors: Rana Nirbhay
Published: October 2024

This chapter, “Sustainable Luxury Marketing: Navigating Cultural Nuances and Masstige Challenges,” explores the transformation of the luxury market driven by sustainability and cultural sensitivity. It covers sustainable practices in luxury marketing, including circular fashion and eco-friendly packaging. The chapter also examines cultural adaptation in global marketing and the impact of masstige marketing on brand prestige. Providing a practical framework for integrating sustainability with cultural insights, it offers valuable guidance for adapting to contemporary market demands.
Optimizing Project Management Outcomes
Authors: Zhakupbekova Guldana , Turginbayeva Ardak , Ashirbekova Laura
Published: October 2024

This research systematically investigated and optimized project management practices by assessing the perspectives of employees. It analyses the impact of team collaboration, operational efficiency, risk management, and adaptability in achieving efficient project management. It also examined the mediating role of communication strategy and the moderating effect of technology adoption in project management context within hotels in Kazakhstan. A cluster sampling technique was employed to gather responses from 531 participants in the initial survey and 478 participants in the subsequent survey. The results of the quantitative analysis provided a nuanced understanding of the relationships between team collaboration, operational efficiency, risk management, and adaptability in the context of hotel project management. This research contributed to the existing knowledge by providing empirical evidence on the key determinants of efficient project management within the hotel industry.
The Impact of Supply Chain ESG Management on Supply Chain Resilience With Emerging IT Technologies
Authors: Zhou Yuan , Zhang Nan , Wu Chia-Huei , Wang Yifan , Zhang Xiaoyi , Zhang Da
Published: October 2024

Supply chain resilience is an important topic, defined as the ability of a fractured supply chain to rebuild itself, maintain stability in response to changes in the external environment. This study explores the impact of supply chain ESG management on supply chain resilience. In this paper, a total of 371 questionnaires were collected from Chinese firms, and a PLS-based structural equation model was constructed for empirical testing. This study reveals the positive impact of supply chain ESG management on supply chain resilience. Information network capability mediates the relationship between supply chain ESG management and supply chain resilience. The application of emerging IT technologies positively moderates the impact of supply chain ESG governance on supply chain network capability. This study provides a novel perspective that contributes to the understanding of the importance of supply chain ESG governance in improving supply chain resilience, offers empirical evidence for the role of information network capabilities and emerging IT technologies.
Performance and Controlability Assessment of an Overlapping Quad-Rotor Concept
Authors:   US Army Research Lab, Avera Michael , Kang Hao , Singh Rajneesh
Published: October 2024

A numerical study was conducted to characterize the influence on vehicle performance and controlability due to partially overlapped rotors. Partially overlapping rotors on a quad-rotor configuration is as an approach to mitgate the influence of geometric constraints on the vehicle design. A comprehensive analysis model of a pair of 3 bladed overlapped rotors with 0.66D shaft separation was assessed using a free vortex wake and the results were compared to published experimental data. A full quad-rotor vehicle analysis model was constructed to trim the vehicle and characterize the flight performance and controlability in steady forward flight, coordinated turns, pedal turns, sideward flight, and to determine sensitivity to variation in center of gravity during coordinated turns. The finite state interference model used for vehicle trim was configured based upon the results from the comprehensive analysis assessment. In the steady flight maneuvers assessed, the rotors behaved similarly in pairs of with the upper rotors carrying up to 12% more load in forward flight than the lower pair of rotors. Small magnitude reductions in power consumption were realized for turns and center of gravity shifts dependent upon turn direction. Increasing the vehicle gross weight exacerbates the separation in rotor speeds between the upper and lower pairs during manuevers. Aerodynamic rotor-on-rotor interference introduces a coupling of opposite spinning rotors, but the reduction lateral rotor separation had a greater impact on controlability.
Numerical Investigation of Perpendicular Blade-Vortex-Interaction on a Pitching Airfoil in Light Dynamic Stall
Authors:   Politecnico di Milano, Droandi Giovanni , Gibertini Giuseppe , Zagaglia Daniele , Zanotti Alex
Published: October 2024

Computational Fluid Dynamics was used to investigate the effects of perpendicular blade vortex interactions on the aerodynamic performance of an oscillating airfoil. In particular, the test case studied was a stream-wise vortex impacting on the leading edge of a NACA 23012 airfoil oscillating in light dynamic stall regime, representing a typical condition of the retreating blade of a helicopter in forward flight. The results of time-accurate simulations were validated by comparison with particle image velocimetry surveys. The analysis of the numerical results enabled to achieve a detailed insight about the overall effects on the interacting flow field and on aerodynamic loads acting on the oscillating airfoil due to the vortex interaction. Indeed, the comparison with the clean airfoil case shows a severe loss of performance produced by vortex interaction during downstroke motion of the airfoil, as the vortex impact triggers the local stall of the blade section.
High-resolution CFD Predictions for Static and Dynamic Stall of a Finite-span OA209 Wing
Authors:   US Army - AFDD, Jain Rohit ,   ONERA, Pape Arnaud ,   Georgia Institute of Technology, Smith Marilyn , Costes Michel , Richez Francois
Published: October 2024

High-resolution computational fluid dynamics (CFD) simulations were performed using Unsteady Reynolds-averaged Navier-Stokes (URANS) and Delayed Detached Eddy Simulation (DDES) models for the static and dynamic stall of a finite-span OA209 wing. The flow was modeled as both fully turbulent and laminar with transition to turbulence. NASA OVERFLOW and ONERA elsA flow solvers were used for the simulations. A comprehensive, comparative study was carried out between the predictions and the ONERA finite-wing test data for pre- and post-stall measurements that included blade section loads, surface pressure, velocity field at chord and span planes, and spanwise flow. The high spatial and temporal resolutions employed in the present simulations resulted in good correlations with the test data. In particular, the inclusion of a transition model reduced the overprediction of the static stall angle generally seen in CFD predictions, and, as a result, also led to the observed improvements in the dynamic stall correlations. Transition locations were not measured, and, therefore, the computed transition locations were qualitatively compared against the measurements on a 2-D OA209 wing with reasonable agreement between the two. The validity of the present CFD models was subsequently tested for deep and light dynamic stall cases, and very good agreement between the computed loads and the test data was obtained. Finally, simulation cost reduction strategies were investigated that included Adaptive Mesh Refinement (AMR) in the wing CFD grid in combination with a temporal error control in order to mitigate the high cost associated with the 3-D dynamic stall simulations. A 40% cost savings was achieved during the initial studies with opportunities for further savings.
Compressible Dynamic Stall Alleviation Through High Momentum Blowing
Authors:   Sikorsky Aircraft, Lorber Peter ,   Ohio State University, Hird Kyle ,   United Technologies Research Center, Bowles Patrick , Berezin Charles , Scott Mark , Frankhouser Matthew , Jeffrey Bons , Gregory James
Published: October 2024

An experiment was conducted in The Ohio State University Transonic Wind Tunnel on a high lift airfoil to evaluate the effectiveness of high momentum steady blowing for dynamic stall control. Computational fluid dynamics (CFD) was used to design airfoil modifications to tangentially inject air behind the leading edge. Extensive design, calibration, and post-test analysis efforts were required to achieve desired flow control system performance and data accuracy. Aerodynamic performance for steady and oscillatory angle-of-attack conditions was measured with the baseline smooth airfoil, with the slot open but no blowing, and with blowing at moderate to high momentum coefficients. The blow-down wind tunnel was operated at Mach numbers between 0.2 to 0.7 and at near full scale Reynolds numbers. High momentum blowing at each Mach number substantially increased airfoil performance, including a 20% increase in maximum lift coefficient for steady conditions at Mach 0.3. For unsteady pitching motions, blowing produced a cycle- averaged lift increase of more than 20% at Mach 0.3 to 0.4. Large reductions in peak adverse pitching moment were also measured in deep dynamic stall. Inadvertently, the experiment incorporated several data points in which suction occurred. These cases also enhanced performance, although to a lesser extent.