bluuebunny/crossref_metadata_2025 huggingface dataset:
Juan Ramón and the Imagists
Authors: Guerrero-Strachan Santiago Rodríguez
Published: January 2025

This chapter explores the literary friendship of Ezra Pound and poet Juan Ramón Jiménez (1881–1958), the Spanish Nobel Prize laureate who in the 1940s expressed a serious critical appreciation of Pound. Jiménez himself served as a pivotal figure in creating an international movement combining Spanish and Anglophone modernisms, and his readings of Anglo-American poetry in the first decades of the twentieth century precipitated his shift from Symbolism to Spanish-American Modernism(o) as distinct from the Anglo-American avant-garde, since it is rooted in the symbolist aesthetic and is aesthetically less transgressive. Recounting Jiménez ‘s knowledge of Pound, whom he had read early but whom he would not meet until the 1950s, Santiago Rodríguez Guerrero-Strachán argues that Jiménez’s misreading of Pound and Imagism helped him create his own “personal” concept of Modernism(o). Yet he valued Pound’s poetical “revolution.” Jiménez Guerrero-Strachán examines their shared poetics and argues that in his translations of Pound, Jiménez emphasizes the role his poetry plays in shaping modernism.
Joanne Kyger’s Desecheo Notebook and the Beat Veneration
Authors: Friedman Amy L.
Published: January 2025

Amy Friedman’s essay introduces an important aspect of Kyger’s writing practice, journal as genre, in a close reading of Desecheo Notebook, a chapbook published in 1971 that describes her trip to Desecheo Island off the coast of Puerto Rico. Friedman concentrates on Kyger’s interest in connecting with Beat writers (mainly through dreams) and compares what Kyger calls the “maritime zone” of Desecheo Island to William S. Burroughs’s Interzone, made famous in his Naked Lunch. Friedman shows Kyger finding her voice and identity as a woman, separate from the Beats yet akin to them in breaking new literary territory.
Eva Figes: Splitting the Self
Authors: Webb Christopher
Published: January 2025

This chapter analyses Eva Figes’ novel Equinox and her non-fiction work in the context of second-wave feminism and changing conceptions of women’s labour. It examines how Figes’ experimental writing techniques reflect the fragmented experience of women navigating domestic and professional spheres. The chapter argues that Figes’ work offers a unique perspective on the intersections of gender, labour, and avant-garde aesthetics in 1960s Britain.
The Empress Sophia Reconsidered
Authors: Roggo Silvio
Published: January 2025

This chapter aims to shed new light on an understudied episode of an empress’ agency at a period of transition of imperial power. It examines the machinations of Justin’s wife Sophia who, when the eventual demise of her incapacitated husband had become foreseeable, sought to ensure that she would maintain her central role at the imperial court after his death. Sophia was in alliance with patriarch John Scholastikos and together, they tried to achieve that the Caesar Tiberios would divorce his wife Ino and, after Justin’s death, marry Sophia instead. If the sources (primarily John of Ephesos) are to be believed, it proves that the nominal head of the orthodox church actively encouraged a divorce despite the considerable tightening of divorce law in the Justinianic legislation, and second, it highlights that Sophia’s network extended to the patriarchate. The analysis leads to the conclusion that Sophia fostered her unsuccessful marriage plan at least a year before the death of her husband in 578, and consequently, we may even speculate that the envisaged preservation of her status as empress had been a central reason for her choice of and support for the new Caesar Tiberios.
Constructing Power through Rituals: The Case of Theodora
Authors: Lindholmer Mads Ortving
Published: January 2025

Theodora, wife of Emperor Justinian, has attracted increasing scholarly attention for her influence, with some historians likening her to a co-emperor. Although empresses generally lacked official military or political power, they wielded "soft power" through rituals and public appearances. This was evident in Theodora's participation in the adoratio, a ceremony traditionally reserved for the emperor, where elites would pay homage. According to Procopius, this was a significant departure from previous traditions, where empresses were not part of such rituals. Theodora’s involvement in the adoratio not only elevated her status but also reshaped the narrative of imperial rule, presenting the emperor and empress as a quasi-divine pair. Theodora’ participation in Justinian’s adoratio offered the elite participants a new narrative of the empire and the empress’ place in it: the chapter shows that the adoratio had presented the emperor as a quasi-divine monarch and that these attributes were now extended to Theodora. Furthermore, the above ritual presents a significantly more dynastic picture of imperial rule where the imperial couple, rather than just the emperor, were the object of the adoratio.
Augusta Unrealized: Anicia Juliana and the Logistics of Place
Authors: Nathan Geoffrey
Published: January 2025

Chapter 9 aims to establish a clearer typology of the imperial woman by examining Anicia Juliana. Although she was the daughter of an emperor and descended from both the Eastern and Western branches of the Theodosian dynasty, she never lived in an imperial household, never held the title of Augusta nor ever achieved her ambitions to either. But Anicia’s attempts to create something akin to an alternative court—including a dynastic marriage for her son, engaging in diplomacy with the papal court, acting and portraying herself as a Theodosian patron—offer a unique look at the behaviour and behavioural limitations for women of the imperial family. Anicia’s public activities and persona are analyzed, highlighting both similarities and divergences with her counterparts in the regimes of Zeno, Anastasius and Justin. This includes exploring performative and symbolic events, the creation of vertical and horizontal social networks, and artistic and literary representations meant for public and private consumption. By focusing particularly on the differences with women of the imperial household, Anicia’s life can serve as ‘out-of-bounds’ marker and define more sharply the degree to which imperial women’s agency and visibility might extend and to what degree it might be circumscribed.
An Investigation into the Selection and Colors of Little Red Dots and Active Galactic Nuclei
Authors: Hainline Kevin N. , Maiolino Roberto , Juodžbalis Ignas , Scholtz Jan , Übler Hannah , D’Eugenio Francesco , Helton Jakob M. , Sun Yang , Sun Fengwu , Robertson Brant , Tacchella Sandro , Bunker Andrew J. , Carniani Stefano , Charlot Stephane , Curtis-Lake Emma , Egami Eiichi , Johnson Benjamin D. , Lin Xiaojing , Lyu Jianwei , Pérez-González Pablo G. , Rinaldi Pierluigi , Silcock Maddie S. , Venturi Giacomo , Williams Christina C. , Willmer Christopher N. A. , Willott Chris , Zhang Junyu , Zhu Yongda
Published: January 2025

Recently, a large number of compact sources at z > 4 with blue UV slopes and extremely red rest-frame optical slopes have been found in James Webb Space Telescope (JWST) extragalactic surveys. As a subsample of these sources, commonly called “little red dots” (LRDs), have been spectroscopically observed to host a broad-line active galactic nucleus (AGN), they have been the focus of multiple recent studies in an attempt to understand the origin of their UV and optical emission. Here, we assemble a sample of 123 LRDs from the literature along with spectroscopic and photometric JWST-identified samples of AGNs to compare their colors and spectral slopes. We find that while obscured AGNs at z < 6 have highly dissimilar colors to LRDs, unobscured AGNs at z < 6 span a wide range of colors, with only a subsample showing colors similar to LRDs. At z > 6, the majority of the unobscured AGNs that have been found in these samples are LRDs, but this may be related to the fact that these sources are at large bolometric luminosities. Because LRDs occupy a unique position in galaxy color space, they are more straightforward to target, and the large number of broad-line AGNs that do not have LRD colors and slopes are therefore underrepresented in many spectroscopic surveys because they are more difficult to preselect. Current LRD selection techniques return a large and disparate population, including many sources having 2–5 μm colors impacted by emission-line flux boosting in individual filters.
Potential Technosignature from Anomalously Low Deuterium/Hydrogen in Planetary Water Depleted by Nuclear Fusion Technology
Authors: Catling David C. , Krissansen-Totton Joshua , Robinson Tyler D.
Published: January 2025

Deuterium–deuterium (DD) fusion is viewed as an ideal energy source for humanity in the far future, given a vast seawater supply of D. Here, we consider long-lived, extraterrestrial, technological societies that develop DD fusion. If such a society persisted over geologic timescales, oceanic deuterium would diminish. For an ocean mass and initial deuterium/hydrogen (D/H) ratio that were Earth-like, fusion power use of only ∼10 times that projected for humankind next century would deplete the D/H ratio in ∼(a few) ×108 yr to values below that of the local interstellar medium (ISM). Ocean masses of a few percent of Earth’s would reach an anomalously low D/H in ∼106–107 yr. The timescale shortens with greater energy consumption, smaller oceans, or lower initial D/H. Here, we suggest that anomalous D/H in planetary water below local ISM values of ∼16 × 10−6 (set by Big Bang nucleosynthesis plus deuterium loss onto dust or small admixtures of deuterium-poor stellar material) may be a technosignature. Unlike SETI using radio signals, anomalous D/H would persist for eons, even if civilizations perished or relocated. We discuss the wavelengths of strong absorption features for detecting D/H anomalies in atmospheric water vapor. These are vibrational O–D stretching at 3.7 μm in transmission spectroscopy of Earth-like worlds, ∼1.5 μm (in the wings of the 1.4 μm water band) in the shorter near-infrared for direct imaging by the Habitable Worlds Observatory, and ∼7.5-8 μm (in the wings of the broad 6.3 μm bending vibration of water) for concepts like the Large Interferometer for Exoplanets.
Constraining Binary Mergers in Active Galactic Nuclei Disks Using the Nonobservation of Lensed Gravitational Waves
Authors: Leong Samson H. W. , Janquart Justin , Sharma Aditya Kumar , Martens Paul , Ajith Parameswaran , Hannuksela Otto A.
Published: January 2025

The dense and dynamic environments within active galactic nuclei (AGN) accretion disks may serve as prolific birthplaces for binary black holes (BBHs) and one possible origin for some of the BBHs detected by gravitational-wave (GW) observatories. We show that a considerable fraction of the BBH in AGN disks will be strongly lensed by the central supermassive black hole (SMBH). Thus, the nonobservation of lensed GW signals can be used to constrain the fraction of BBH binaries residing in AGN disks. The nondetection of lensing with current

O
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100
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detections will be sufficient to start placing constraints on the fraction of BBHs living within accretion disks near the SMBH. In the next-generation detectors era, with

O
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1

0

5

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BBH observations and no lensed events, we will be able to rule out most migration traps as dominant birthplaces of BBH mergers; moreover, we will be able to constrain the minimum size of the accretion disk. On the other hand, should AGNs constitute a major formation channel, lensed events from AGNs will become prominent in the future.
GRB 241107A: A Giant Flare from a Close-by Extragalactic Magnetar?
Authors: Rodi James Craig , Pacholski Dominik Patryk , Mereghetti Sandro , Arrigoni Edoardo , Bazzano Angela , Natalucci Lorenzo , Salvaterra Ruben , Ubertini Pietro
Published: January 2025

We report the results on the short gamma-ray burst GRB 241107A, obtained with the IBIS instrument on board the INTEGRAL satellite. The burst had a duration of about 0.2 s, a fluence of 8 × 10−7 erg cm−2 in the 20 keV–10 MeV range, and a hard spectrum, characterized by a peak energy of 680 keV. The position of GRB 241107A has been precisely determined because it fell inside the imaging field of view of the IBIS coded mask instrument. The presence of the nearby galaxy PGC 86046 in the 3′ radius error region suggests that GRB 241107A might be a giant flare from a magnetar rather than a canonical short gamma-ray burst. For the 4.1 Mpc distance of PGC 86046, the isotropic energy of 1.6 × 1045 erg is in agreement with this hypothesis, which is also supported by the time-resolved spectral properties similar to those of the few other extragalactic magnetars giant flares detected so far.
First record of Morimotobathynella Serban, 2000 (Bathynellacea, Bathynellidae) from subterranean waters of South Korea, with the description of a new species
Authors: Ji Su-Jung , Camacho Ana Isabel , Min Gi-Sik
Published: January 2025

This study describes Morimotobathynella koreanasp. nov., the first new species of Bathynellidae family reported in East Asia since 2000, and it presents the first molecular analysis using CO1 and 18S gene sequences. Morphological analysis reveals that the new species and previously known Morimotobathynella species uniquely share key characteristics in the male and female thoracopods VIII. However, the presence or absence of the median seta on the antenna exopod, along with the length differences between the four spines in the furca, distinguish the new species from M. miurai, 2000. A molecular phylogenetic analysis indicates that the new species has a relatively close relationship to species from the genus Altainella in Mongolia and Russia.
Morphological and molecular evidence reveals a new species of Laetmogone (Holothuroidea, Elasipodida) from abyssal depths of the south Pacific Ocean
Authors: Xiao Yun-Lu , Zhang Hai-Bin
Published: January 2025

A new elasipodid species of holothuroid, Laetmogone multiradiolussp. nov., was discovered from the abyssal plain adjacent to the Kermadec Trench in the South Pacific Ocean at a depth of 5735 m, representing the deepest record of a Laetmogone species. We provide a detailed description of the morphological features of this newly-discovered species and present molecular data for the new species and two congeneric specimens collected from the South China Sea used in the phylogenetic analyses of the family Laetmogonidae. Furthermore, we provide a taxonomic key to Laetmogone species and discuss the geographical distribution and species diversity for the family Laetmogonidae. More specimens from broader geographical locations and additional molecular data are needed to better investigate the phylogeny, morphology and biogeography of laetmogonid holothuroids.
La « cobotique » et l’interaction homme-robot
Authors: Weistroffer Vincent
Published: January 2025

Grâce aux avancées en matière de conception et de sécurité, les postes industriels offrent désormais la possibilité aux robots et aux opérateurs de partager les mêmes espaces de travail et d’interagir ensemble. Il devient alors nécessaire de repenser l’organisation des postes de travail dans lesquels les opérateurs peuvent collaborer avec des « cobots » (pour robots collaboratifs). Cet article propose quelques exemples afin d’illustrer comment les techniques d’apprentissage artificiel peuvent être utilisées pour faciliter la conception de ces nouveaux postes de travail et pour améliorer l’interaction homme-robot.
Le travail de la critique en eurocratie
Authors: Gillard Xavier , Hamm Marylou
Published: January 2025

Cet article s’appuie sur deux enquêtes de terrain, l’une sur la défense commerciale et l’autre sur la gestion de crise, pour proposer une analyse ethnographique du travail de la critique au sein de la Commission européenne. Il montre l’intérêt de cette approche pour comprendre comment, au quotidien, les eurofonctionnaires naviguent entre des tensions récurrentes, telles que la dialectique entre politique et technique ou entre urgences et règles formalisées. Loin de constituer un acte de résistance spectaculaire ou le symptôme d’une crise, nous montrons que la critique imprègne la routine institutionnelle, bien qu’elle reste encore insuffisamment étudiée. Aborder la critique comme point d’entrée permet d’examiner simultanément ce que font et pensent les eurocrates, tout en offrant une réflexion transversale sur leur ethos professionnel et les épreuves auxquelles il est soumis. Pour convaincre, l’article opère un triple croisement : entre des littératures rarement mises en dialogue, deux enquêtes de terrain, et trois échelles d’observation, fondées sur des entretiens, des observations et l’analyse de brouillons.
De l’art de prendre le pouvoir en situation révolutionnaire : réflexions microanalytiques à partir de l’itinéraire politique des frères Payan (1791-1792)
Authors: Soulas Nicolas
Published: January 2025

Cet article vise à appréhender les stratégies permettant aux acteurs de prendre le pouvoir au niveau local. L’itinéraire politique des trois frères Payan (Joseph-François, Claude-François et Esprit-François), de Saint-Paul-Trois-Châteaux dans la Drôme, constitue un excellent point d’observation pour appréhender les aspects matériels de la prise de pouvoir pendant la Révolution française. En effet, en plaçant la focale sur cette famille de notables méridionaux, la perspective micro-analytique, croisant une riche documentation (archives administratives, écrits du for privé, dont des agendas et des correspondances politiques, sources judiciaires), offre l’opportunité de vivre de l’intérieur un coup de force politique, de son élaboration jusqu’au passage à l’acte, et d’appréhender les stratégies déployées par ses protagonistes pour conquérir le pouvoir et le conserver en légitimant le recours à la force.
Unmasking the Shadows
Authors: Singha Surjit
Published: January 2025

This chapter explores the extensive influence of cognitive biases, including those stemming from societal injustices such as racism, on strategic management and decision-making. The study examined how racial biases influence decision-making, resulting in systemic inequalities. The chapter explored various strategies to mitigate these biases, drawing on insights from behavioural science and empirical research. The strategies employed encompassed methods to reduce bias, interventions to influence behaviour, and enhancements to the decision-making procedures. The study's main aim was to elucidate the intersection of cognitive biases and social injustice to promote a fairer future.
Usability and Responsiveness of Artificial Intelligence Chatbots on Customer Satisfaction
Authors: Padmavathi T. , Gowtham Sidhartha P.
Published: January 2025

The purpose of the study is to find the factors in chatbot adoption that influence the online customer experience and customer satisfaction. The usability and responsibility of the chatbot play a vital role in influencing the extrinsic values (EV) and intrinsic values (IV) of the online customer experience that leads to customer satisfaction. SEM Analysis was done to describe the interrelationships among chatbot adoption, online customer experience, and customer satisfaction with age and personality as a moderator in the model. 182 valid responses were used for data analysis. Results show that the usability of the chatbot positively influence EV of customer experience, whereas the responsiveness of the chatbot positively impacts IV of customer experience. Further, online customer experience is found to have a positive relationship with customer satisfaction. Customer age influences the relationship between usability of the chatbot and EV of customer experience, and personality influenced the relationship between the responsiveness of the chatbot and EV of customer experience.
The Dynamics of School Diversity, Learner Experiences, and the Shifting Landscape of Educational Inclusion
Authors: Radu Monica Bixby , Nelson Angela , Rundle Deanna
Published: January 2025

Education serves as a catalyst for social mobility, enabling individuals to transcend socio-economic barriers and improve their life prospects. Yet, educational systems may inadvertently perpetuate inequalities and fail to provide adequate support for all students. This chapter aims to provide an interdisciplinary examination of the dynamics inherent in diverse school environments, contributing to a comprehensive understanding of how social structures, psychological factors, and challenges faced by educators intersect within educational settings. Through an analysis of factors such as cultural diversity, socioeconomic disparities, and systemic inequalities, the chapter explores their impact on student experiences, teacher practices, and overall school climate. By synthesizing empirical research, theoretical frameworks, and practical insights, the chapter offers implications for educators, researchers, and policymakers seeking to create inclusive and equitable learning environments. .
Equity in the Learning and Teaching of Mathematics
Authors: Johnston Katie , Brewer Latoya
Published: January 2025

In this chapter, the authors explore equity issues in the learning and teaching of mathematics. Specifically, the authors define equity in relation to teaching mathematics and synthesize four equity-directed pedagogical approaches that have the potential to improve students' educational experiences: standards-based mathematics instruction, complex instruction, culturally relevant pedagogy, and teaching mathematics for social justice. The authors provide a brief overview of Gutiérrez's (2007) Dimensions of Learning Equity framework to frame the exploration. This chapter contributes to the existing knowledge base of systemic barriers that exclude students from learning mathematics and practices that make mathematics education more inclusive.
Pedagogy for Inclusion
Authors: Jha Sanjeev Kumar , Kumar Sandip
Published: January 2025

India has one of the largest school education systems in the world. The National Curriculum Framework (NCF) 2023, National Policy on Education 2020 and the Right to Education (RTE) Act of 2009 state that inclusive education is crucial for creating fair and just learning environments. The study used self-developed questionnaires. This study investigates the educational resources provided in schools for children with special needs (CWSN) and the strategies employed by science teachers in upper primary schools in Delhi to facilitate inclusion, with a specific focus on creating classrooms and providing library access that are accessible to children with special educational needs. The challenges encountered encompass issues such as lack of infrastructure support, parental factors, limited availability of specialised educators, high rates of absenteeism, and difficulties related to communication.
Diversifying the Public Safety Landscape
Authors: Bivens Nicola Davis
Published: January 2025

Law enforcement, fire protection, and emergency management have historically lacked diversity even though they serve diverse communities. Racism, ineffective recruiting, negative opinions about the professions, police-community relations, and lack of career awareness are factors which have resulted in these professions being dominated by White males (Barlow & Barlow, 2015; McWilliams, 2007; Pinson, as cited in Griffith, et al., 2015). Significant events have demonstrated the need for diversity in the public safety professions, such as the inadequate preparation and slow response during Hurricane Katrina in New Orleans have sometimes been attributed to racism (Blodorn & O'Brien, 2011). Police use of force incidents have resulted in riots across the United States for decades (Escobar, 2023). This chapter is an examination of how higher education can serve as a viable partner to help diversify the public safety professions. Other effective strategies are recommended to help public safety organizations recruit and retain diverse professionals.
Strategies for Spatial Data Management in Cloud Environments
Authors: Das Bimol Chandra , Ahmad Munir , Maqsood Maida
Published: January 2025

Cloud platforms can enhance spatial data management with specialized services like databases, geocoding, and geospatial analytics. Databases such as Amazon Redshift with PostGIS, Microsoft Azure's Cosmos DB, and Google Cloud Spanner offer efficient storage, retrieval, and spatial data analysis. Geocoding services convert addresses into geographic coordinates, including Google's Geocoding API, OpenStreetMap Nominatim, and Mapbox's Geocoding API. Geospatial analytics tools from Amazon, Microsoft Azure, and Google Earth Engine provide actionable insights from spatial data. Optimization techniques like spatial indexing, partitioning, caching, and parallel processing (MapReduce and Apache Spark) enhance data access and processing. Security measures include access control, data encryption, and anonymization to protect sensitive information. Disaster recovery and backup strategies can ensure data resilience and business continuity. Utilizing these cloud services can transform spatial data management, unlocking its potential for analysis, visualization, and decision-making.
Efficient Human Gait Detection Hybrid Approach With MobileBiLSTM
Authors: Jasmine S. , Marichamy P. , Ramalakshmi K. , J. Aqil Ahmed
Published: January 2025

This work focuses on human gait detection, a branch of biometrics that examines people's specific walking patterns. Walking pattern, or gait, has drawn interest because of its potential in several applications, such as surveillance and medical monitoring, where non-intrusive identification is critical. The CASIA-B dataset, which included samples with varying gait patterns, clothing changes, and luggage presence, was used for this study. High accuracy rates were attained by the suggested MobileNet with BiLSTM model: 94.52% accuracy with bags and 96.89% accuracy without them. These findings highlight the model's practical applicability and further the development of gait analysis techniques.
Applications of Artificial Intelligence (AI) Across Diverse Functional Areas in Supply Chain Management (SCM)
Authors: Krishnamoorthi M. , Mathiyarasan M. , Srinivasan K. , Venkatesh P.
Published: January 2025

This study examines the wide-ranging uses of artificial intelligence (AI) in many functional areas within supply chain management (SCM), providing insight into its significant impact on transformation. AI transforms operations in the supply chain, improving efficiency and resilience by implementing demand forecasting and logistics optimization. The present aims to study the application of artificial intelligence in the various functional areas of supply chain management. As per the convenience sampling method, the data are collected through structured questionnaire from 128 individuals who are the part of operational areas of supply chain management in Bangalore city. The collected data are analysed with descriptive statistics, ANOVA and regression. Finally, this study concludes that there is a positive effect of inventory management and control material and purchase management, demand estimation, order picking process, customer relationship management, transport network modelling on operational performance of supply chain management.
Circular Economy Practices in Supply Chain Management
Authors: Sibanda Vusumuzi , Mhlanga Jacob , Munuhwa Shakerod
Published: January 2025

In recent years, the concept of a circular economy has gained significant traction as a sustainable approach to resource management and economic development. Unlike the traditional linear model of take-make-dispose, a circular economy aims to minimize waste generation and maximize resource efficiency by promoting product reuse, recycling, and regeneration. This paradigm shift has profound implications for supply chain management, where organizations play a pivotal role in shaping the transition towards more sustainable practices. Despite the growing interest in circular economy concepts, the integration of these principles into supply chain management remains a complex and evolving challenge. Organizations, especially in the construction industry, face various barriers, including technological limitations, regulatory constraints, and cultural inertia. This chapter interrogates the nexus between circular economy practices in supply chain management from a construction industry perspective.
Effect of Green Supply Chain Management Practice on Firm Performance With Mediation of Green Innovation in Ethiopia
Authors: Kant Shashi , Adula Metasebia , Alemu Gezew Megersa
Published: January 2025

This study aimed to investigate, via experimentation, the relationship among green supply chain practices and corporate sustainability, with a particular emphasis on the mediating function of green innovation. The relevant 384 respondents were selected from the targeted SMEs using standard random sampling techniques. Using the structural equation model (SEM) and AMOS software, this study investigated the link among green innovation and its mediating impact. The SEM results further supported the notion that green supply chain strategies have a direct influence on green innovation. The results demonstrate that enhanced firm performance is a direct result of growing green innovation. The standardized coefficient of 0.683 approaches statistical significance at p <.01(0.009). The results imply that a greater degree of firm performance was achieved through partial mediation of green innovation. Therefore, policy makers, institutions, non-governmental organizations, and other interested parties should concentrate on providing MSEs with green innovation.
Infrastructure Development and Investment in Hinterland Connectivity for Indian Ports
Authors: Yogananthan S. , Ulle Ravishankar S. , Gopalan Balaji , Patil Kotresh
Published: January 2025

With global trade booming, efficient Indian ports are crucial. However, weak hinterland connectivity, the link to inland areas, hinders their effectiveness. This review examines how infrastructure development, investment, and hinterland connectivity impact port efficiency, competitiveness, and costs. It explores historical trends, current infrastructure status, and investment scenarios. Successful case studies offer insights into seamless port-hinterland integration. The analysis considers emerging technologies and government initiatives like Sagarmala. Ultimately, the review aims to inform policy recommendations for sustainable growth, highlighting the importance of continued investment and strategic infrastructure development for Indian ports to thrive globally.
The Positive Effect of Social Responsibility Practices in the Transition Toward Eco-Logistics
Authors: Girardi Andrea , Kocollari Ulpiana
Published: January 2025

The logistics sector is an industry that significantly impacts the environment and society. Studies have investigated potential strategies to move toward eco-logistics by reducing companies' ecological and societal consequences. The environmental effects of logistics can be diminished by implementing resource and energy efficiency, while social responsibility policies improve the well-being of workers. This chapter analyses the environmental and social data of companies involved in the logistics sector of the Italian ceramic industry. The linear regression statistical model shows that, for logistics companies, increasing social responsibility practices significantly reduces emissions. The chapter highlights the relevance of investing in social responsibility practices as this contributes to emission reduction and, consequently, the transition toward eco-logistics. This investment has an impact on reducing emissions and improving the environmental performance of logistics companies.
Innovative Practices for Eco-Friendly Suppliers in the Automotive Industry
Authors: Tronnebati Imane , Jawab Fouad , Arif Jabir
Published: January 2025

Achieving sustainable supply chain management in the automotive sector requires careful consideration of green suppliers. This study offers a thorough method for applying the data envelopment analysis (DEA) model to assess and choose environmentally friendly providers in the automotive industry. The DEA model's application is illustrated by case studies from the automotive sector, which also emphasize the model's efficacy in identifying suppliers who meet strict operational requirements and excel in sustainability. The results highlight how crucial it is to include environmental factors in supplier selection procedures and provide useful advice for automakers looking to improve their green procurement practices. This study advances the field of sustainable supply chain management by offering a framework for selecting environmentally friendly suppliers that is applicable to a range of business sectors.
Exploring and Promoting Marketplace Mentorship Between Business Leaders and Millennials
Authors: Wang Clement
Published: January 2025

The world needs competent leaders. Research and practices confirm the value of mentoring in developing leadership in society at large. For enhancing practicum of marketplace mentorship, the chapter is to explore holistic mentoring between senior marketplace leaders (SML) as business professionals and marketplace millennials (MM) as the next generation in developed city context. Primarily stemming from senior mentors' practices and perspectives in the business world, the research covers the topics of mentoring intent and objectives, the role and effect of faith or character, resources and interactive dynamic factors. The chapter summarizes the related qualitative research in mentoring practice between SML mentors and MM mentees. It focuses on the professional & holistic development of the millennial generation. The findings were derived from a qualitative explorative approach, using an in-depth semi-structured interview based on the non-probabilistic purposive sample of twelve senior leaders and five of their MM mentees.
Strategies for Implementing Practice-Led Research in Education
Authors: Zhang Tianyu , Li Na
Published: January 2025

To explore the research and development trend of practice-led research in the field of education over the past 20 years, a comprehensive bibliometric analysis was undertaken in this paper, screening 37 articles sourced from the WoS Core Collection and Scopus database. Through the review of the above literature, we can see that the application of practice-led research in education is continuously increasing, the subject areas involved are constantly broadening, and the use of PLR as a research approach is becoming more refined. The application of practice-led research in the field of education has demonstrated its unique value and potential, but it also faces some challenges. Future research should continue to explore the methodological framework of PLR and promote its wide application and in-depth development in educational practice.
Exploring Coaching Techniques in Enhancing Practice-Led Research Methodologies
Authors: Asrifan Andi , Intisari Intisari , Amal Azizah , Muhayyang Maemuna
Published: January 2025

The academic research articles cover lean innovation training, physician communication skills, learning environments, heritage management, mental training in sports, and crowdfunding. Coaching is emphasized in professional practice, practice-led research, and collaborative research teams. According to the articles, coaching improves artistic creativity, project outcomes, and professional development. They emphasize individualized support and subjective reflection to overcome coaching strategy obstacles and ethical issues. The effects of COVID-19 on education and development and the use of technology in teaching are also examined. The research shows that life coaching, acceptance and commitment coaching, and solution-focused coaching improve communication and research abilities. Each study helps improve methods across fields.
Unpacking Platform-Based Digitalization in Industrial Firms
Authors: Zhou Yun
Published: January 2025

Digitalization of industrial firms has drawn increasing attention of academics and practitioners. However, when embarking on digitalization, many firms are confronted with uncertainty of return and lack of guidance in implementation. Through two successful digitalization examples of Haier and Bosch, this study intends to address why and how digitalization can be adopted to effectively improve industrial firm competitiveness. We reveal innovation and market orientation as the motivation and antecedents of industrial firm's digitalization, and further elaborate on a four-step process for practical digitalization implementation. We also specify what kind of capability is required for digitalization, and how digitalization facilitates sustainable development of industrial firms through data monitoring and impact sharing. This study provides valuable insights for industrial firms to develop a comprehensive digitalization strategy.
An In-Depth Bibliometric Analysis to Understand the Impact and Future of Artificial Intelligence in Higher Education
Authors: Aydogmus Hacer Yumurtaci , Aydogmus Ufuk , Turkan Yusuf Sait
Published: January 2025

Currently, artificial intelligence is used in many different ways in many different sectors - for example, in the diagnosis of diseases in the field of health by processing data, for inventory management in logistics management, and for customer service in tourism. Artificial intelligence is also used in higher education institutions in different fields such as intelligent learning systems and data management. There are different studies in the literature on the use of artificial intelligence in higher education. Considering its importance, analyzing the studies in the literature comprehensively is important for understanding the applications and making it easier for educational institutions to experience an artificial intelligence adaptation process. This study aims to analyze the existing studies in the literature through bibliometric analysis. Initially, in the bibliometric method, the existing literature is obtained by searching a database in line with the search words. After that, the existing literature is analyzed in different dimensions such as time and quantity.
The Utilization of Artificial Intelligence in Higher Education Institutions in Germany
Authors: Bohlens Christopher
Published: January 2025

This part analyzes the integration of Artificial Intelligence (AI) in German Higher Education Institutions (HEIs), highlighting its transformative potential and associated challenges. AI technologies are increasingly employed to enhance teaching, streamline administration, and accelerate research. Despite their benefits, concerns regarding transparency, equity, data privacy, and accountability are raised. Anticipated European regulations, such as the proposed Artificial Intelligence Act, are expected to further shape AI application in academia. Using empirical case studies from German universities, this manuscript illustrates successful AI integration while addressing the challenges of balancing innovation with ethical and legal considerations. The manuscript concludes with strategic recommendations for policymakers, educators, and technology developers to promote responsible AI adoption, emphasizing the importance of ethical frameworks, human oversight, and interdisciplinary collaboration. This study provides valuable insights into the current and future landscape of AI in HEIs.
Exploring Knowledge, Will, Skills, Technological Support, and Use of ChatGPT in Higher Education
Authors: Bhutta Sadia Muzaffar , Ahmad Sohail , Ansari Aisha Naz , Ahmed Afaq , Ali Kiran Qasim
Published: January 2025

The rise of Generative AI chatbots like ChatGPT has sparked debate about their role in higher education. This cross-sectional survey examined students' perceived knowledge, willingness, skills, technological support, and usage of ChatGPT. Using the KWSTU questionnaire, data from 1,218 university students in Sindh, Pakistan, revealed high knowledge and willingness but moderate skill and usage levels. The ChatGPT was reported to have been used for different purposes including reading, writing, and classroom participation. Technological support remained at the lowest end suggesting that the universities were not providing enough support for creating awareness about and necessary orientation to use ChatGPT. Further analysis showed that willingness, skills, and technological support positively predict ChatGPT usage, with willingness being the strongest predictor. Public university students showed a greater inclination to use ChatGPT, while gender had no impact. These findings suggest implications for policy, practice, and research in higher education as AI continues to advance rapidly.
Fairness and Bias in Machine Learning Models for Credit Decisions
Authors: Andrae Silvio
Published: January 2025

Machine learning (ML) models transform credit decision-making, improving efficiency, predictive accuracy, and scalability. However, these innovations raise critical concerns about fairness and bias. This chapter explores the complexities of applying ML in lending. Balancing fairness with predictive accuracy is a core challenge, often requiring trade-offs highlighting current ML systems' limitations. The analysis delves into statistical fairness metrics and examines how these metrics address—or exacerbate—the bias-fairness trade-off. It underscores the importance of transparency and interpretability in ML models, as these are not just desirable but necessary for fostering trust and making these systems comprehensible without sacrificing performance. Empirical studies from the US and UK underscore the importance of data quality, model design, and interdisciplinary collaboration in mitigating bias. This chapter addresses technical and societal dimensions and provides actionable insights for leveraging ML responsibly in lending while minimizing ethical and economic risks.
From Fintech to Green Fintech
Authors: Vergallo Roberto , Casciaro Simone , Mainetti Luca
Published: January 2025

Machine Learning and Deep Learning are spreading at incredible pace in finance. However, the related energy consumption lacks in coherence with the sustainability requirements of banks and financial institutions. Particularly, as the energy required to run complex algorithms increases, more CO2 is released because of the power grid relying mostly on fossil fuels. While techniques are arising to mitigate the carbon footprint of AI, Fintech is facing the challenge of integrating such strategies within the peculiarities of the domain, which requires timeliness, data protection and compliance. In this work, we present the state-of-the-art Green AI techniques, reporting the available experimental results, and critically evaluating their applicability in the financial domain. This contribution is useful for financial institutions, Fintech startups and regulatory bodies who wants to measure and mitigate the impact of AI in the field, decarbonize old or new AI-based products and services, and assess the effectiveness of decarbonization efforts.
Innovative Applications and Advanced Practices in Financial Data Science and Machine Learning for High-Frequency Trading
Authors: Arora Jay , Jain Vishal
Published: January 2025

High-frequency trading (HFT) has revolutionized financial markets, leveraging advancements in automation, machine learning (ML), and high-speed data transmission to achieve rapid and adaptive trading strategies. ML techniques like reinforcement learning (RL), anomaly detection, and natural language processing (NLP) have transformed HFT, enabling dynamic decision-making, real-time anomaly detection, and sentiment-based analysis with models like BERT and GPT. Emerging technologies, including quantum computing and blockchain, promise further enhancements, offering unparalleled optimization speed, transparency, and fraud reduction. Despite these advancements, challenges such as model interpretability, overfitting, and regulatory requirements persist. This chapter explores how cutting-edge ML and emerging technologies are reshaping HFT, providing insights into their potential to drive innovation, improve risk management, and redefine the financial markets for a competitive future.
Artificial Intelligence-Based Capital Structure Management
Authors: Akdogan Yunus Emre
Published: January 2025

In this study, artificial intelligence and machine learning techniques are used to comparatively analyze financial indicators affecting capital structures in the energy, information technology and machinery sectors. The unique financial structure of each sector leads to differences in capital structure management strategies. Lasso regression, ElasticNet and LightGBM machine learning algorithms were applied to determine the importance of the characteristics for each sector. The analysis reveals that LightGBM has the highest predictive performance when highlighting sector-specific variation in key metrics such as current ratio, asset growth rate and EBITDA margin. The findings underline the importance of AI-based models in financial analysis, which support strategic decision-making by revealing industry-specific priorities and contribute to more effective capital structure management and risk mitigation strategies.
AI-Driven Credit Assessment in Banks and Non-Banking Finance Companies (NBFCs) in India
Authors: Malhotra Shikha , Dhanya K. A. , Prathibha Raj M. S. , Mohanty Priyakrushna
Published: January 2025

This study examines the application of AI frameworks in real-world scenarios, including regulatory compliance, fraud detection, credit scoring, default prediction, and portfolio management (Moscato et al., 2020). By leveraging AI to gain deeper insights into borrower creditworthiness, financial institutions can enhance decision-making, streamline processes, and foster a more stable financial environment. However, alongside its transformative potential, the implementation of AI presents significant challenges. Ensuring data quality, improving model interpretability, adhering to regulatory compliance, and addressing ethical considerations are crucial to achieving fair and unbiased outcomes. This paper highlights both the opportunities and complexities associated with integrating AI into financial systems, emphasizing the need for balanced and responsible adoption.
(IN)COMPLETUDE DAS NOTIFICAÇÕES DE DENGUE NO SISTEMA DE INFORMAÇÃO DE AGRAVOS DE NOTIFICAÇÃO
Authors: Mayer Rodrigo , Shizue Nishida Carignano Fernanda
Published: January 2025

A dengue é uma doença viral transmitida pelos mosquitos Aedes aegypti e Aedes albopictus, presente globalmente e que vem a cada ano tendo aumento no número de casos. No município de Maringá, no Paraná, o número de casos prováveis de dengue teve um aumento significativo nos últimos anos, tornando cada vez mais importante a vigilância epidemiológica em relação à doença. Neste contexto a análise da completude dos dados sobre a dengue ganha um peso grande pois é através desta análise que pode-se entender a qualidade dos dados que serão usados como base para futuras medidas de saúde pública. Este trabalho teve como objetivo analisar os níveis de completude e taxa de variação de oito variáveis definidas da ficha de notificação de dengue do SINAN através do Tabwin e Excel entre os anos de 2019 e 2023 no município de Maringá. Os resultados obtidos expuseram que, dentre as variáveis analisadas, apenas duas apresentaram níveis ruins de completude em um ou mais anos do período estudado, e as taxas de variação mostraram que seis das oito variáveis apresentaram diminuição significativa no nível de incompletude. A partir dos resultados, é importante que as variáveis que apresentaram níveis menores de completude sejam avaliadas isoladamente para que se possa diminuir tal falta de preenchimento.