bluuebunny/crossref_metadata_2025 huggingface dataset:
Plant biogeography, endemism and vegetation types of Dena Mts, Zagros, West Iran
Authors: Noroozi Jalil , Talebi Amir , Suen Michael , Schneeweiss Gerald M.
Published: October 2024

Questions: The highest mountain peak of Zagros is located in the Dena mountain system (4409 m a.s.l.), which is identified as the second richest center of plant endemism of Zagros. In this study we (1) investigate floristic affinities of Dena Mts to adjacent mountain ranges based on the endemic species of the Iranian Plateau, (2) identify the species reaching the subnival zone, and (3) characterize the plant communities of the subnival zone of Dena Mts. Study area: Dena Mts is a calcareous mountain system in southern Zagros, Iran. Methods: The list of taxa endemic to the Iranian Plateau present also in Dena Mts was taken from our previously published data. Novel vegetation data were collected using the methodology of Braun-Blanquet. Classification was carried out in JUICE using the Modified TWINSPAN method. Results: Of the 242 taxa endemic to the Iranian Plateau present in Dena Mts, 22 taxa are endemic to the latter. Dena Mts have the strongest floristic affinity with the Yazd-Kerman massif, with which they share 84 taxa compared to 51 taxa shared with Alborz, 37 taxa shared with the Azerbaijan Plateau, and 15 taxa shared with Kopet Dagh-Khorassan. In Dena Mts, 38 taxa reach the subnival zone, most of them being endemic to the Iranian Plateau (68%). From scree habitats in the subnival zone, two new plant associations are described, Aethionemetum umbellati and Zerdanetum anchonioidei. These constitute a newly described alliance Galion pseudokurdici, classified within the class Didymophyso aucheri-Dracocephaletea aucheri. Conclusions: Although Dena Mts lie within a protected area, this will not prevent shrinking of alpine and subnival habitats due to global warming. Consequently, strong attention to the conservation of all range-restricted species of this mountain system, especially of alpine and subnival species, is highly recommended.

Taxonomic reference: Flora of Iran (Assadi et al. 1989–2021) and, for families not yet covered in the previous source, Flora Iranica (Rechinger 1963–2015).
Communicator whistles: A Trek through the taxonomy of the Boophis marojezensis complex reveals seven new, morphologically cryptic treefrogs from Madagascar (Amphibia: Anura: Mantellidae)
Authors: Vences Miguel , Köhler Jörn , Hutter Carl R. , Preick Michaela , Petzold Alice , Rakotoarison Andolalao , Ratsoavina Fanomezana M. , Glaw Frank , Scherz Mark D.
Published: October 2024

Abstract

The Malagasy stream-breeding treefrog species Boophis marojezensis contains bioacoustically and genetically highly divergent populations. Some of these populations have been defined as candidate species and emit somewhat bizarre advertisement calls consisting of multiple whistle-notes. We here enable a long-overdue taxonomic revision of this species complex by applying a museomics approach to sequence DNA from the holotype of B. marojezensis. Based on an integrative approach that combines divergence levels in mitochondrial DNA and in three nuclear-encoded genes, morphological data, and bioacoustic comparisons, we conclude that eight different species exist in this complex, seven of which are formally described herein as new. Although morphological differences between species are small and mainly separate small-sized from larger-sized species, conclusive evidence for the new species comes from their sympatric and sometimes syntopic occurrence without haplotype sharing in three nuclear genes and under maintenance of bioacoustic differences. Uncorrected genetic divergences in the mitochondrial 16S rRNA gene are >3% in almost all cases, and in some cases up to 8%. In reference to the otherworldly sounds by which these frogs fill Malagasy rainforests, some of them reminiscent of sounds of technical equipment in the fictional “Star Trek” universe, we here name and describe the seven new species in honor of fictional captains of starships, namely B. kirkisp. nov., B. picardisp. nov., B. siskoisp. nov., B. janewayaesp. nov., B. archerisp. nov., B. pikeisp. nov., and B. burnhamaesp. nov. The majority of these species occur in northern Madagascar, where up to three species can occur in immediate geographical proximity, e.g., B. marojezensis, B. burnhamaesp. nov. and B. pikeisp. nov. at different elevations in the Marojejy Massif. South of 16°S latitude, only B. janewayaesp. nov., B. picardisp. nov., and B. kirkisp. nov. are found, with the latter extending southwards to Ranomafana National Park. Our study confirms the existence of numerous morphologically cryptic and microendemic species among Madagascar’s amphibians, some of which are known only from unprotected sites and require adequate conservation management.
Existence and analysis of Hilfer-Hadamard fractional differential equations in RLC circuit models
Authors: Manigandan Murugesan , Meganathan R. , Shanthi R. Sathiya , Rhaima Mohamed
Published: October 2024

This paper explores a fractional integro-differential equation with boundary conditions that incorporate the Hilfer-Hadamard fractional derivative. We model the RLC circuit using fractional calculus and define weighted spaces of continuous functions. The existence and uniqueness of solutions are established, along with their Ulam-Hyers and Ulam-Hyers-Rassias stability. Our analysis employs Schaefer's fixed-point theorem and Banach's contraction principle. An illustrative example is presented to validate our findings.
Some new characterizations of spheres and Euclidean spaces using conformal vector fields
Authors: Deshmukh Sharief , Guediri Mohammed
Published: October 2024

Given a conformal vector field $ X $ defined on an $ n $-dimensional Riemannian manifold $ \left(N^{n}, g\right) $, naturally associated to $ X $ are the conformal factor $ \sigma $, a smooth function defined on $ N^{n} $, and a skew symmetric $ (1, 1) $ tensor field $ \Omega $, called the associated tensor, that is defined using the $ 1 $-form dual to $ X $. In this article, we prove two results. In the first result, we show that if an $ n $-dimensional compact and connected Riemannian manifold $ \left(N^{n}, g\right) $, $ n > 1 $, of positive Ricci curvature admits a nontrivial (non-Killing) conformal vector field $ X $ with conformal factor $ \sigma $ such that its Ricci operator $ Rc $ and scalar curvature $ \tau $ satisfy

   \begin{document}$ Rc\left( X\right) = -(n-1)\nabla \sigma \; \; \text{ and }\; \; X(\tau ) = 2\sigma \left( n(n-1)c-\tau \right) $\end{document}

for a constant $ c $, necessarily $ c > 0 $ and $ \left(N^{n}, g\right) $ is isometric to the sphere $ S_{c}^{n} $ of constant curvature $ c $. The converse is also shown to be true. In the second result, it is shown that an $ n $-dimensional complete and connected Riemannian manifold $ \left(N^{n}, g\right) $, $ n > 1 $, admits a nontrivial conformal vector field $ X $ with conformal factor $ \sigma $ and associated tensor $ \Omega $ satisfying

   \begin{document}$ Rc\left( X\right) = -div\Omega \; \; \text{ and }\; \; \Omega \left( X\right) = 0, $\end{document}

if and only if $ \left(N^{n}, g\right) $ is isometric to the Euclidean space $ \left(E^{n}, \langle, \rangle \right) $.
“Hasta que venga el frío”: mujeres indígenas, criollas y colonas en el trabajo del algodón (Chaco argentino 1900-1980)
Authors: Franceschi Zelda Alice
Published: October 2024

The cotton empire is part of a “global” history in which this plant plays a leading role due to the antiquity of its presence in immense spaces and the numerous bibliography that has been dedicated to it. The aim of this paper is to restore “flesh and blood” to the historical and cultural skeletons by bringing to light the connections between ethnography, microhistory and regional and social history. Special attention is paid to the accounts of some indigenous Wichí women from the former Franciscan mission of Misión Nueva Pompeya (Chaco, Argentina), where, from the 1960s onwards, entire families were engaged in cotton picking. The aim is to highlight these female voices within a national and regional history that tells us little or nothing about their lives as pickers.
“Tenía una mujer, pero nunca la vimos”. Una mirada femenina al auge de la goma elástica (Bolivia, XIX-XX)
Authors: Córdoba Lorena
Published: October 2024

The extractive rubber boom in Bolivian Amazonia (1880-1920) not only reconfigured interethnic relations between indigenous peoples and white settlers but also reshaped the geopolitics of the region, as well as the way in which the Amazon rainforest itself was perceived by the national and international imaginaries. However, the historical and anthropological literature usually presents us with a hyper-masculinised view that tends to ignore or render almost invisible the role of women during the rubber era. Our aim is precisely to describe and analyse the roles played by mestizo and indigenous women in these extractive circuits, in order to reconstruct their agency as protagonists and to render their presence visible as active participants of the rubber industry.
Il taccuino dell’antropologia. La stesura delle note di campo durante un’etnografia dell’ospedale
Authors: Pasquarelli Elisa
Published: October 2024

Within anthropology, data collection is not a standardized process. Therefore, documentation praxis on the field is deeply subjective. The very conceptual definition of “fieldnotes” is highly variable among researchers and their construction, content, the extent of the subsequent re-writing process, objectives do not meet univocal or universal criteria. However, taking notes is essential for the gaining of ethnographic knowledge. In this article, I focus on some potentially problematic methodological aspects of the writing of fieldnotes. Social actors might find the note-taking disturbing and suspicious and they might react to it with hostility or apprehension. Under certain circumstances or in certain settings it may be inappropriate to take notes. It is necessary to continuously adapt the need to jot with both the contingent situations and the behavior of the bystanders. Here, as an example I describe the background and its adaptations to the context of the methodology for writing fieldnotes that I applied during research I conducted in a hospital ward. I also illustrate my re-writing of fieldnotes procedures during and after the fieldwork.
Denaturalizzare il sesso. Nicole-Claude Mathieu e l’analisi antropologica delle classi di sesso
Authors: Corossacz Valeria Ribeiro
Published: October 2024

This essay presents some of the main contributions of Nicole-Claude Mathieu’s work to anthropology and feminist theory. The first section is devoted to framing Mathieu’s production within French materialist feminism. The ethnologist repeatedly recalls how the forms of oppression experienced by women as a minority group in social relations of sex and the struggles that ensue underlie the epistemological transformations that invest disciplinary knowledge from a feminist perspective. Next, the article addresses the three different ways of conceptualising the relationship between sex and gender and the introduction of the category of social sex to denaturalize sex, understood as a political category. Its analysis is thus compared with some of the contributions of decolonial feminism regarding the category of gender. Just as in her study of the category of sex, we also find in the analysis of androcentrism in anthropology her ability to question the dominant frameworks of ethnological thought. In particular, Mathieu delves into the relationship between androcentrism, ethnocentrism, and naturalism to understand not only how they operate distortions in the production of ethnographic and ethnological knowledge, but also how they define the framework within which to define the relationship between Western “us” and non-Western “others” in reference to social relations of sex.
Avaliação do Programa de Aceleração do Crescimento (PAC) Mobilidade Urbana
Authors: Júnior Ismael Mendes dos Santos , Macedo Reginaldo Morais de , Oliveira Janikelle Bessa , Theóphilo Carlos Renato
Published: October 2024

O artigo teve como objetivo avaliar a eficácia do subeixo de Mobilidade Urbana que integra o eixo Infraestrutura Social e Urbana do Programa de Aceleração do Crescimento (PAC) referente ao período de 2015 a 2018. A pesquisa é de abordagem quantitativa, descritiva e de base documental aplicando técnicas, medidas e testes de Estatísticas Descritiva (Teste Qui-Quadrado, Análise de Variância e Análise de Regressão) e Multivariada (Análise Multivariada de Variância, Análise de Correspondência e Análise Discriminante Linear) aos dados obtidos a partir do banco de dados públicos referente ao 7º Balanço do PAC 2015-2018, tendo sido analisadas 3.765 obras. Em função das especificidades dos dados foram formados cinco grupos de análise: geral, sem outliers, com outliers em cada uma das variáveis de análise e outliers em ambas as variáveis de análise. A análise dos dados apontou que os índices de eficácia são insatisfatórios. Sugere-se novas pesquisas.
Efeitos da educação sobre a dinâmica da informalidade no mercado de trabalho: uma análise empírica para o estado do Espírito Santo
Authors: Rocha Antonio Ricardo Freislebem da , Moreira Ricardo Ramalhete , Lira Pablo Silva
Published: October 2024

Este estudo analisa a relação existente entre a mudança na composição educacional da mão de obra ocupada e seus impactos sobre a informalidade do mercado de trabalho do Espírito Santo entre 2016 e 2021. São utilizados dados da PNAD-Contínua do IBGE e metodologia de decomposição da informalidade em efeito nível e efeito composição. Os resultados evidenciaram a importância do efeito composição para evitar um maior crescimento da taxa de informalidade e sugerem mudanças nos níveis de escolaridade exigidos para uma inserção formal no mercado de trabalho, uma vez que se observou aumento da informalidade até mesmo entre os mais escolarizados. Tendo em vista especificidades no recorte geográfico municipal, o estado deve ampliar políticas de investimento em educação e qualificação profissional; simplificação do processo de formalização de empresas; e expandir programas de incentivo à formalização da agropecuária e de acesso a linhas de crédito específicas para produtores rurais informais.
How AI Influences Marketing From the Consumer Perspective
Authors: Azevedo Francisca Gonçalves , Santos Oliveira Francisca Santos , Thielen Katharina , Imamovic Irma
Published: October 2024

The systematic literature review investigates the impact of artificial intelligence (AI) on marketing, with a focus on client perspectives, using the PRISMA model. It examines how AI technology might improve customer service efficiency and increase the level of personalization in customer interactions while delving further into privacy and ethical problems. The report emphasizes how critical it is to strike a healthy balance between leveraging AI's benefits and preserving customer confidence. Moreover, it highlights customers' persistent desire for face-to-face contacts during service encounters, implying that in spite of technology breakthroughs, human connection and emotional intelligence are still essential. These revelations illustrate the intricate relationship that exists between technical progress and providing human- centered services, emphasizing the necessity for businesses to incorporate AI in ways that enhance, rather than replace human interaction.
AI-Powered Personalization
Authors: Behare Nitesh , Lakhani Divya Yogesh , Vasmatkar Abhijit , Waghulkar Shrikant , Sayankar Vinod N. , Naik Ankita , Sharma Suraj , Behare Shubhada N.
Published: October 2024

By Customizing the shopping experience to individual users, AI-powered personalization plays a crucial role in mobile commerce, ultimately improving consumer satisfaction and increasing sales. This chapter highlights the several technologies and strategies employed in this field and gives an outline of AI-powered personalization in mobile commerce. It investigates user profiling and data collection methods, dynamic pricing and offers, personalized product recommendations AI-enhanced search and navigation. Moreover, the use of chatbots and virtual assistants. The chapter also discusses future directions and developing trends in AI-powered personalization, Additionally difficulties and ethical issues. Businesses may use AI to create engaging and tailored experiences for their customers by learning about its possibilities in mobile commerce.
Crafting Couture
Authors: Nair Poornima , Kumar Sunita
Published: October 2024

The couture industry and artificial intelligence (AI) have come together to create a dynamic paradigm shift in the creation of unique consumer experiences. AI has become a transformational force in the ever-changing fashion industry, transforming the relationship between designers and consumers and overturning conventional paradigms. This study explores the mutually beneficial integration of artificial intelligence (AI) with co-creation processes, shedding light on the creative ways that AI enhances the customisation of couture experiences. At the core of the discussion is the idea of personalisation enabled by AI-powered co-creation tools. With the help of these platforms, customers can express their individual style preferences and take part in the design process, giving them a sense of co-ownership. The ensuing couture pieces blur the boundaries between designer and customer in a cooperative dance of creativity; they are more than just clothes. In conclusion, couture business may achieve unprecedented degrees of personalisation only through the synergy of AI and co-creation.
AI-Powered Smart Energy Management for Optimizing Energy Efficiency in High-Performance Computing Systems
Authors: Jalasri M. , Panchal Soumyashree M. , Mahalingam Karpagam , Venkatasubramanian R. , Hemalatha R. , Boopathi Sampath
Published: October 2024

The chapter discusses the need for efficient energy consumption in high-performance computing systems and proposes the integration of artificial intelligence and machine learning techniques to optimize energy efficiency. It explores AI-driven techniques like reinforcement learning, neural networks, and predictive analytics for energy-aware scheduling, workload allocation, and adaptive power management. The chapter discusses the effectiveness of AI-driven energy optimization strategies in real-world HPC infrastructures, highlighting potential energy savings while maintaining computational performance. It also discusses future directions and challenges in AI-enabled smart energy management, including algorithm refinement, integration with emerging technologies, and scalability considerations. The holistic approach highlights the transformative impact of AI and ML in creating sustainable, energy-efficient paradigms within high-performance computing ecosystems.
Tech-Driven Operations
Authors: Sharma Manjari , Gupta Sharad , Mahesh Kumar T.
Published: October 2024

The chapter investigates the pivotal role of technology in revolutionizing modern operations management. It explores the intricate relationship between technological adoption and operational efficiency, emphasizing how businesses can effectively implement and optimize advancements such as AI, IoT, and blockchain to gain a competitive edge. By examining the impact on supply chain management, production processes, and service delivery, the chapter highlights best practices and addresses the challenges associated with integrating emerging technologies. Ultimately, it provides a comprehensive framework for leveraging technology to enhance productivity, strategic decision-making, and overall operational excellence.
Sustainability Education Management Scenarios Under Changes in the BANI Era
Authors: Jedaman Pornchai , Pitchaya-Auckarakhun Minthiva , Kasorn Kasama , Kenaphoom Sanya
Published: October 2024

The BANI era represents the rapid changes that affect organizations and employees. Scenario-based planning is a strategic approach that leaders use to manage risks and uncertainty, resulting in effective decision-making and goal achievement. This framework sheds light on how to manage sustainability education during transitional periods. A mixed-method study, which includes qualitative interviews and a quantitative survey, investigates critical scenarios such as leadership competencies in disruptive times, human resource management, strategic change management, decentralization, and participation. These scenarios have a direct and indirect impact on sustainable corporate culture. Competent leadership and adaptable human resource management are critical for fostering organizational sustainability in the face of BANI-era uncertainty. Effective management of these challenges ensures that organizations remain resilient and capable of achieving long-term objectives despite the changing landscape.
Personalised Learning Systems and the Human Touch in Society 5.0
Authors: Ghosh Uday Kumar , Jermsittiparsert Kittisak
Published: October 2024

Society 5.0, integrating cyberspace and physical space, revolutionizes education through AI, VR, and big data analytics. This chapter explores these technologies' impact on education, balancing personalized, technology-driven learning systems with essential human elements. A comprehensive literature review reveals the potential of AI-driven personalized learning, immersive technologies, and data analytics to enhance educational outcomes. Challenges persist in the digital divide, data privacy, and maintaining human interaction. While Society 5.0 technologies offer unprecedented opportunities for personalized learning, successful implementation requires considering ethical implications and preserving crucial human aspects. Future research should develop frameworks for ethical data use, improve educator digital literacy, and integrate technology with human expertise in curriculum development and assessment.
Enhancing Analytical Thinking Skills in Elementary Students
Authors: Bhijakkanarin Jiratchayapa , Kenaphoom Sanya
Published: October 2024

This essay highlights the need for improved methods and tools as it investigates the lack of effective teaching strategies and assessment tools for fostering analytical thinking in elementary school students. This study examined the effects of instructional strategies on critical thinking, pointing out biases and uneven document quality but also providing insightful information and recommendations for enhancement. The study highlights the importance of integrating analytical thinking into elementary education despite challenges like inadequate funding and teacher preparation. The development of curricula and instruction that prioritize critical thinking skills can enhance learning environments and better prepare students for the complexity of today's society. To improve academic performance and future-readiness, the study concludes by highlighting the value of analytical thinking in elementary education and arguing for its incorporation into curricula and instruction.
Behavioral Characteristics and Cognitive Processes of Individuals With Advanced Mathematical Analytical Skills
Authors: Bhijakkanarin Jiratchayapa , Kenaphoom Sanya
Published: October 2024

One significant research gap that restricts understanding of critical stages and early support is the lack of longitudinal studies on mathematical skill development. The majority of studies ignore the way that experience and practice shape skills. This paper aims to explore the cognitive and behavioral traits of individuals with high mathematical proficiency. The study examines mathematical cognition through documentary research, gathering information from scholarly databases and using content and theme analysis to pinpoint areas lacking in advanced mathematical knowledge. Results Along with persistence, resolve, and intrinsic motivation, proficient mathematicians demonstrate high levels of analytical reasoning, pattern recognition, and problem-solving skills. These findings advance our understanding of mathematical aptitude and have implications for talent development and customized instruction. Thus, outstanding mathematicians have strong work ethics and advanced analytical skills. Through focused instruction, mathematical talent is developed according to these observations.
Reducing Global Food Wastage and Nurturing Sustainable Future
Authors: Singh Bhupinder , Jermsittiparsert Kittisak
Published: October 2024

Significant global reduction of food wastage is key to achieving a future where nature and people can thrive, effectively contributing directly against Sustainable Development Goal 12 (Responsible Consumption and Production). With one-third of all food produced around the world going to waste, this has enormous environmental, societal and economic consequences. The is a need for social and legal measures to remedy inefficiencies along the food supply chain in reducing wastage of food. On a social level awareness campaign, community-based actions and educational programs have proven effective in changing the consumer behaviour of waste generation. Adopting practices like portion size control, proper food storage and leftovers for second meals can significantly reduce household waste. This chapter focuses on reducing global food wastage and nurturing sustainable future: Social and enhancing SDG 12.
An Investigation Into the Effects of CO2 and Temperature on Rainfall Variability in India
Authors: Mukhopadhyay Labonie , Mukhopadhyay Partha
Published: October 2024

The urgent challenges of today include understanding climate change impacts and developing a sustainable hydrogen economy, with green and white hydrogen playing key roles in reducing carbon footprints. This paper examines rainfall variability in India, focusing on its relationship with factors like CO2 emissions and temperature fluctuations. Analyzing data from 1923 to 2022, the study explores the mechanisms influencing rainfall patterns and their implications for sustainable water management. In a country where water availability is crucial and precipitation patterns are unpredictable, understanding rainfall variability is vital for effective policy formulation. The research uses a Vector Error Correction Model (VECM) to investigate the relationship between rainfall, temperature, and CO2 emissions. The findings show a positive correlation between rainfall and temperature but reveal a negative relationship between rainfall and CO2 levels, suggesting that increased CO2 emissions are linked to reduced rainfall.
AI and Education
Authors: Monika Singh T. , Kishor Kumar Reddy C. , Ramana Murthy B. V. , Nag Anindya , Doss Srinath
Published: October 2024

This chapter explores how Artificial Intelligence (AI) is revolutionizing education by transforming traditional learning methods into more personalized, efficient, and accessible experiences. It examines the historical evolution of educational technologies, highlights the shift to AI-driven approaches, and outlines key elements such as data-driven insights, interactive learning environments, personalized platforms, and administrative task automation. The study discusses AI's advantages, including enhanced personalization, increased efficiency, improved accessibility, and greater student engagement. It also addresses challenges like data privacy, equity, teacher training, and ethical concerns. Through practical case studies, the paper offers insights into effective AI implementations and concludes with recommendations for future developments in AI-driven education.
Behavior-Based Computational Intelligence on the Web for Integrated Educational Systems
Authors: Sree M. Swathi , Kishor Kumar Reddy C. , Mahathi Avula , Doss Srinath
Published: October 2024

Intelligent learning environments have been made possible by the rapid expansion of online technologies and the introduction of computational intelligence, which have completely changed traditional educational institutions. The use of behavior-based computational intelligence to improve educational systems on the web is examined in this research. Algorithms with intelligence may adjust feedback, evaluation, and content delivery to each student's unique needs by continuously observing how they learn. Personalised learning is made possible by the study's use of machine learning techniques, including reinforcement learning and neural networks, to model and predict student behaviour. High-quality education is now accessible to a wider audience because to the integration of these systems on web-based platforms, which offers scalability and accessibility. Our research shows that when instructional materials are customised to each learner's unique behavior, learner engagement, retention, and academic achievement significantly increase.
Adoption of Artificial Intelligence in Marketing
Authors: Kaur Surinder , Singh Gurmeet
Published: October 2024

Artificial intelligence is defined as the capability of a machine to perform functions like problem-solving, learning, and reasoning, which are usually carried out by human beings. Growing uses of AI in marketing raise concerns about how AI should be controlled, how it should be used ethically, and how it affects customers. This chapter, therefore, aims at identifying the moral and legal implications of artificial intelligence in marketing. The present study adopted the descriptive approach by looking into the available literature signifying the adoption of AI in marketing in the light of legal and ethical issues involved in the adoption of AI in marketing. It is concluded that future applications of AI in marketing would need an ethical and legal solution if they are to ensure responsible and successful adoption. The paper provides the guidelines for the policymakers and marketers on how they can use AI in marketing activity responsibly and ethically while wading through the legal and ethical challenges this new technology is raising.
Harnessing Emotional Engagement for Success
Authors: Mehta Pooja , Kaur Harleen
Published: October 2024

This chapter delves into the integration of emotional engagement and neuromarketing, which leverages insights from neuroscience to enhance marketing strategies. Emotional engagement is essential for capturing consumer attention and fostering brand loyalty. Neuromarketing employs techniques like EEG, fMRI, and eye-tracking to understand consumer responses at a subconscious level. By examining recent studies and applications, this chapter highlights the effectiveness of neuromarketing in creating emotionally resonant marketing campaigns and discusses future directions and potential ethical considerations.
The Role of Artificial Intelligence in Neuromarketing in Understanding Consumer Behaviour
Authors: Reepu
Published: October 2024

The recent decade has witnessed a sea change in different management domains, including human resource management, financial management, supply chain management, marketing, etc. The marketing field is undergoing tremendous growth and development with the application of artificial intelligence and neuromarketing. Neuromarketing is an emerging discipline that focuses on gathering vital and relevant information from brain science, psychology, people's behaviour, marketing and related disciplines, focusing on understanding consumer behaviour in the given context. This empirical study is focused on analysing AI's role in neuromarketing to understand consumers' overall behaviour. The researcher intends to collate the data from primary and secondary sources and analysed it using novel tools like Multilayer preceptor to provide meaningful insights. The analysis reveals that AI in neuromarketing effectively engages with consumers on a real-time basis, personalises products, and harnesses market knowledge for sustainable growth and development.
The Role of AI and Machine Learning in Neuromarketing
Authors: Deep Gagan , Verma Jyoti
Published: October 2024

Artificial Intelligence (AI) and Machine Learning (ML) techniques are turning into a revolution in the growth of neuromarketing field and various advanced techniques that can engage the customer and provide better insights. Starting with an analysis of these technologies and their significance in the marketing context of the environment, this chapter introduces neuromarketing's applications of AI and ML. Together with the instruments and stages relevant to neuromarketing investigation, it considers the technological background, such as neural nets, deep learning, and predictions. The chapter also briefly considers practical applications also, illustrating how artificial intelligence and machine learning assess buyer behaviour and develop suitable marketing strategies and optimise customers' experiences. The campaigns mentioned and the creative planning or the specific activities that are applied are presented to the readers through perceptible case studies.
Bleisure in Conferences and Conventions of Hospitality and Tourism Academics
Authors: Baraero-Era Joy Sheelah
Published: October 2024

This chapter explores the demographic profile, motivations, behaviors, challenges, and recommendations of Filipino tourism and hospitality educators who have engaged in leisure while attending a conference and convention. The results have ramifications for higher education institutions (HEI), conference organizers, and tourism and hospitality service providers. The study suggests policy considerations for HEIs to support the educators' active participation in conferences, conventions, and bleisure activities. The results also provide insights for conference organizers as well as tourism and hospitality service providers in customizing and providing quality and cost-friendly services that are tailored to this specific market's needs, expectations, and preferences.
The Social, Cultural, and Psychological Dimensions of Bleisure Travel
Authors: Doval-Naithani Prachee
Published: October 2024

The chapter is designed with the intent of sensitizing the readers and travelers towards adapting to ‘cultural nuances' of ‘the other', thereby preparing universal citizens who fit the cross-cultural model of today's world with ease. In the world today, where travel for business and pleasure amalgamated together is so frequent, only by respecting diversity and embracing inclusion one becomes a global citizen in the true sense. The theme is thus approached via socio-cultural, linguistic, psychological, philosophical, and rational orientations. Most of the subject matter in the ensuing chapter stems out of the author's long experience as a pedagogue in the area of foreign language and cross-cultural behavior training, foreign language didactic methods training, her penchant for world literatures, and a keen interest in traveling.
Development and testing of optimized Instrument Flight Rules (IFR) noise abatement procedures on EC155
Authors:   Airbus Helicopters, Guntzer Frédéric , Gareton Vincent , Gervais Marc , Rollet Philippe
Published: October 2024

This paper describes several Airbus Helicopters activities conducted in the frame of the Clean Sky Green Rotorcraft Integrated Technology Demonstrator program. These activities involve the development of noise abatement approach procedures for the EC155 Dolphin helicopter in Instrument Flight Rules (IFR) operations. The work presented herein covers all the major steps for simulating / developing noise abatement flight procedures; from the generation of an aeroacoustic database out of dedicated flight tests, to the design of a noise footprint computation chain coupled to an optimizer. This process, constrained herein by IFR-specific limitations and applied to the EC155 Dolphin helicopter, allows deriving three potential effects to be taken into account when designing noise abatement procedure: emission (source noise), geometry, and ground speed gains. The noise abatement procedures were tested against reference procedures during dedicated flight tests, and the predicted gains were confirmed both in location and order of magnitude.
Design, Rapid Prototyping and Testing of a Ducted Fan Micro-Quadcopter
Authors:   Embry-Riddle Aeronautical University, Hooi Chin
Published: October 2024

This paper discusses recent results toward the design, rapid prototyping and testing of a ducted microquadcopter. Mobility and convenience objectives of this work dictate that the quadcopter must fit into a pocket, be capable of shooting high-definition videos and pictures, be controllable through a smartphone application, have a rotor diameter of 7cm and weigh approximately 300 g. Previous designs have rotor dimensions of 25 cm or more as well as airframe width and length of 75 cm and above. Aerodynamically, the ducted fan design is analyzed through Momentum Theory and Blade Element Momentum Theory (BEMT) to determine its contribution toward improved performance in hover, axial climb, axial descent and forward flight. The ducted fan design can be optimized for lower power consumption of up to 30% or smaller diameter than an open rotor and improves hover performance most significantly. Individual components, including the upper ducted and lower airframe were fabricated using composite layup methods. Microrotors as well as ducted fan molds were designed and built through three-dimensional (3D) Printing methods, including the Fused Deposit Modeling (FDM) and the PolyJet (PJ) method. Careful attention was taken to patch the duct lips with composites and sanding them to ensure smoothness. It was found that microrotors have to have at least a 4% thickness-to-chord ratio in order to be structurally sound. For the FDM method, the microrotors have to be printed with the blade plane perpendicular to the print bed and the blades oriented such that the blades have the strongest structural layout possible. For four and two blades, the best configurations are having the blades at having the blades at 60° and 0° (horizontal) to the print bed respectively. The PJ method, is capable of printing highly accurate microrotors flat on the print bed. However, they are less stiff and tend to flap more and structurally deform under exposure to ultraviolet (UV) and heat sources, hence making them more suitable for short term usage. Test results indicate that the FDM rotors produce more thrust than PJ rotors and have a lower torque-to-thrust ratio due to the fact that PJ rotors are less stiff. This in turn leads to excessive flapping and more susceptibility to flutter, which requires thicker blades at the expense of higher profile drag. Likewise, PJ rotors can be designed for higher thrust and lower torque-to-thrust ratio by incorporating constant chord blades at lower pitch angles, yet maintaining the same diameter and solidity as their variable chord counterparts.
Numerical Examination of a Model Rotor in Brownout Conditions
Authors:   Konrad-Zuse-Zentrum für Informationstechnik (ZIB), Kuhn Alexander ,   University of Stuttgart, Kutz Benjamin ,   University of Magdeburg, Günther Tobias , Rumpf Andreas
Published: October 2024

In the present study a flow simulation of a rotor hovering in ground effect was performed and compared to an experimental study from literature. Different reconstruction schemes in the finite volume flow solver were employed, leading to a computation of second and fifth order accuracy in space. The higher order computation was also performed on different grids with six and 23 million grid cells. The integral simulation values were compared to the experimental results and other literature, showing good agreement. Further on, the vortex conservation of the several schemes was compared. The higher order computation yields a much longer vortex preservation and a much better shape approximation, especially with a fine spatial resolution of the computational domain. Moreover, brownout simulations were done in a one-way coupled post processing mode of the flow computation. The results show that a good preservation of the vortices is crucial for a following brownout simulation, which leads to the necessity of a fine resolution and high order computations. The influence of the particle size was examined, leading to the finding that especially amix of big and small particles in the sediment bed may lead to severe brownout conditions, when flying near the ground. The blade tip vortices are interacting with the sediment and are one of the main drivers of particle entrainment in brownout conditions.
Predictions of JVX Rotor Performance in Hover and Airplane Mode Using High-Fidelity Unstructured Grid CFD Solver
Authors:   The University of Toledo, Sheng Chunhua
Published: October 2024

The Bell-Boeing Joint Vertical Experimental (JVX) rotor, which was tested at the Outdoor Aerodynamic Research Facility (OARF) at NASA Ames Research Center, is numerically investigated in the present study using an unstructured grid Navier-Stokes computational fluid dynamics solver U²NCLE. The JVX rotor hover figure of merit (FM) and propulsive efficiency (PE) in airplane mode are computed using a high-fidelity computational method. Grid resolution studies are performed and steady/unsteady simulation methods are assessed to evaluate the numerical impact on predicting rotor performance and capturing the trailing tip vortices. Four turbulence model options, Spalart's detached eddy simulation (DES), delayed detached eddy simulation (DDES), local correlation-based transition model (LCTM), and stall delay model (SDM) are investigated in detail for the JVX rotor performance prediction in both hover and airplane modes. The computational results suggested that the correct modeling of rotor flow physics is the key for accurate predictions of rotor performance especially at high collective angle/thrust levels.
A Computational Framework for Helicopter Fuselage Drag Reduction Using Vortex Generators
Authors:   ONERA, BONIFACE Jean-Christophe
Published: October 2024

A computational framework has been developed for the CFD computation of a blunt helicopter fuselage equipped with vortex generators (VG). The VG are explicitly discretized in the CFD mesh, within the use of the overset grid method. A dedicated mesh generator developed at ONERA has been improved together with an all-in-one computational set-up, allowing parametric investigations for VG arrangement, shape, position, and size effects. The methodology has been applied to a down-scaled GOAHEAD-like wind-tunnel model, for drag reduction by passive flow control on the backdoor surface at cruise-flight conditions. A test-matrix has been completed and a reference VG configuration was identified as promising for an array of 2x8 counter-rotating VG with zero-thickness vane-type like planform. The VG were sized according to the approximated boundary-layer thickness following classical integral formulation for a longitudinal flow. At cruise conditions, the VG configuration achieves about 5% total drag reduction by strongly reducing the extension of the separated flow at the backdoor/tail boom junction. The proposed reference VG configuration will be tested during a wind-tunnel test campaign for the same GOAHEAD-like downscaled model.
Reusable Energy Absorbing Lab (REAL) Seat
Authors:   NAVAIR, Knott Michael , Hall Brandon
Published: October 2024

Energy absorbing seats have played a critical role in increasing the survivability of rotary wing mishaps in both military and civilian rotorcraft. By using various methods of energy absorption, crashworthy seats limit occupant exposure to potentially injurious spinal loading and whole-body accelerations during a mishap. When testing aircrew-mounted equipment, or while conducting experiments on crashworthy seating systems, the costs associated with using a new or refurbished crashworthy seating system can prove to be cost prohibitive. To alleviate this cost burden and provide for substantially more iterative design support testing, a completely reusable Energy Absorbing (EA), crashworthy seat was desired. The Reusable Energy Absorbing Lab (REAL) Seat was developed to address this need. Through the Naval Innovative Science and Engineering (NISE) Workforce Development (WFD) program, a project was established to develop and validate the REAL Seat. The objective of the REAL Seat is to provide a capable, reusable EA seat that can be used as a Fleet representative test bed for simulating the use of a crashworthy seat. The REAL Seat is designed to simulate the kinematics of military crashworthy seating systems. It complies with MIL-S-85510 and MIL-S-58095, which are the legacy military standard baselines for cabin and cockpit crashworthy seating systems, respectively. By using a pneumatic-actuated braking system, the REAL Seat absorbs kinetic energy of the occupant and seat mass similar to that of an actual production crashworthy seating system. The REAL Seat can accommodate occupant sizes ranging from the 5th percentile female up to the fullyequipped 95th percentile male (119-275lbs). The seat can use a variety of restraint systems and seat cushions, allowing it to simulate the use a range of seating systems. The system has been successfully tested and has shown that it adequately represents the crashworthy seating systems presently fielded in military aircraft.
3D-LZ Flight Test of 2013: Landing an EH-60L Helicopter in a Brownout Degraded Visual Environment
Authors:   US Air Force, Savage James ,   US Army, Szoboszlay Zoltan , Goodrich Shawn , McKinley Richard , Fujizawa Brian , Ott Carl
Published: October 2024

A flight test was conducted in 2013 to evaluate progress on three technologies that together were intended to enable safe low-level flight, landing, hover, and take-off in degraded visual environments with obstacles to avoid. The three classes of complementary technologies were: 1. A LAser Detection and Ranging (LADAR) sensor detected obstacles and terrain and created a three-dimensional database of geo-referenced samples. 2. Visual cueing was provided to the pilot of the LADAR data, aircraft state, and guidance to landing or hover. 3. A partial authority fight control augmentation system with Modernized Control Laws (MCLAWS) was engaged for some of the maneuvers to reduce pilot workload. This paper focuses on the visual cueing technologies (item 2 above). Fifty-five successful landings were accomplished in 2013 by seven evaluation pilots from across the services in brownout conditions at the dust range at Yuma Proving Ground. Performance data is compared to a previous test in 2009 in which 20 landings were accomplished with the same aircraft. Both dust landing tests were intermediate milestones for the Three Dimensional Landing Zone (3D-LZ) program on the path to a capstone Joint Capability Technology Demonstration planned for 2014.
An out-of-season cold: filler-induced vascular occlusion of the columellar artery causing necrosis of the cartilaginous anterior nasal septum case report and a literature review
Authors: Zengarini Corrado , Sapigni Claudia , Benati Mattia , D'Agostino Giovanni , Piraccini Bianca Maria , Melandri Davide , Russo Antonio , Chirurgica, Oncologica, Correttiva ed Estetica (SIDCO) Società Italiana di Dermatologia
Published: October 2024

In their recent publication, George Kroumpouzos et al. provided a comprehensive update on the complications caused by filler procedures in the lips and perioral area. These injections have been associated with various arterial accidents and an incidence of vision loss mainly when such procedures are performed at the level of the central facial massif.
Among the various cases of vascular involvement reported in the literature, we have found what we believe to be a rare occurrence of columellar artery occlusion with a noteworthy discrepancy between the expected symptoms and the actual described vascular effects. The necrosis of the columellar artery following hyaluronic acid injections showed some peculiarities: its frequency is unknown, and recognition can be troublesome due to the presentation of subtle symptoms. We want to exemplify these characteristics in this case, which, fortunately, optimally resolved itself, underscoring its unique nature.