bluuebunny/crossref_metadata_2025_split huggingface dataset:
Narratives of change: how climate change narratives have evolved since the 1970s
Authors: Kulaeva Zarina 
Published: December 2024

Purpose
The purpose of this paper is twofold. First, we map the emerging climate narratives from the 1970s. Second, we examine how these narratives have shaped climate governance in addressing the consequences of climate change. Our analysis is based on a set of 12 interviews with climate change experts from various fields, including climate science, environmental policy, and environmental sustainability. The theoretical framework primarily draws from narrative analysis (Bruner, 1991; Riessman, 2005; Freeman, 2015), with a specific emphasis on its application within climate change studies (Bottici, 2010; Bushell et al., 2015; Fløttum and Gjerstad, 2017).

Design/methodology/approach
The period of analysis starts from the 1970s. A period marked by growing concern and the creation of national and global organizations to address the effects of climate change. Semistructured interviews were conducted with a sample of 12 experts in the field using narrative analysis. We adopted an inductive approach, allowing climate narratives to emerge organically from the interview data, and facilitating the emergence of new topics and perspectives.

Findings
Through interviews with climate experts, this study identifies three key narratives and critical shortcomings related to climate governance. The dominant climate narratives identified are apocalyptic environmentalism, greening capitalism and degrowth. Notably, greening capitalism and degrowth emerge as a dichotomous framework for understanding and interpreting climate change. By exploring these climate narratives, we highlight five critical shortcomings related to climate governance: increasing citizen participation through a bottom-up governance model, reforming the environmental subsidy framework, strengthening the science-policy interface, decoupling economic growth from energy dependence and developing innovative technological models beyond traditional green growth approaches. As a result, climate governance remains confined to these binary frameworks, and the challenges that were promised to be addressed decades ago largely remain unresolved.

Originality/value
The value of this study lies in the fact that, on the one hand, it uses narrative analysis to investigate climate governance, and on the other hand, it does so through interviews with different actors. All this facilitates a holistic approach, and from a 50-year historical perspective, this study traces an evolutionary line of narratives and identifies the critical points of climate governance.
Rethinking the digital divide and associated educational in(equity) in higher education in the context of developing countries: the social justice perspective
Authors: Assefa Yalalem , Gebremeskel Melaku Mengistu , Moges Bekalu Tadesse , Tilwani Shouket Ahmad , Azmera Yibeltal Aemiro 
Published: December 2024

PurposeIn today’s educational landscape, technology has become an undeniable force in shaping pedagogical approaches and even the definition of learning itself. But this path contains many obstacles. Within the higher education ecosystem, the digital divide – the disparity in access and use of technology – is proving to be a significant barrier for educational institutions, particularly in developing countries. Hence, the current study attempts to understand the digital divide and its associated consequence on educational in(equity) in higher education, particularly within the context of developing countries.Design/methodology/approachUsing a systematic review methodological approach, this study illuminates the complex dimensions of the digital divide and its associated educational impact in higher education based on the social justice theoretical perspective.FindingsKey findings of the study show that the affordability of digital devices, infrastructure limitations and limited digital literacy are the main drivers of the digital divide. It has also been understood that the digital gap impairs teachers’ pedagogical approaches; thereby, this has a detrimental consequence on students’ learning engagement and academic achievement. More severely, the digital divide exacerbates existing educational disparities disproportionately, impacting students particularly from marginalized communities that already face automated inequality.Originality/valueThe study makes some encouraging recommendations for interventions to close the digital divide and reduce its effects on education. These include the implementing of initiatives that minimize access to and use of digital gaps; establishing long-term infrastructure investments to address connectivity issues; and creating adaptable support systems to deal with technical issues. By applying these and related approaches, higher education can bridge the digital divide and promote fair and inclusive learning opportunities, ultimately leading to equitable learning environments for all.
The interplay between technological innovation and human capital development in driving industrial productivity and competitiveness in Africa
Authors: Awode Segun Subair , Oduola Musa Olanrewaju 
Published: December 2024

PurposeThis study examines how technological innovation (TECIN) and human capital development (HCD) combine to impact industrial productivity (INPR) and competitiveness in Africa.Design/methodology/approachThe study used secondary data covering the period from 1996 to 2021 on 36 African countries, in a panel data framework of fixed effect and generalized method of moments techniques.FindingsThe study found that while TECIN negatively affected INPR in Africa, HCD exerted a strong positive influence. The interaction of TECIN and HCD showed a joint positive impact on INPR, emphasizing the role of human capital in mitigating transitional productivity loss tied to new technology assimilation. The results also showed positive individual and combined effects of TECIN and HCD on industrial competitiveness in Africa.Practical implicationsThe findings therefore compel the need for implementation of policies that can simultaneously advance TECIN and strengthen HCD for sustainable industrial development in Africa. Governments in African countries need to allocate more resources to research and development to foster home-grown technologies, revamp educational curricula to align with industry needs and emphasize practical skills training, and facilitate technology transfer partnerships to enhance technological capabilities and INPR.Originality/valueAlthough previous studies acknowledge the importance of TECIN and HCD for enhancing INPR and competitiveness in Africa, there is a noticeable lack of comprehensive studies that investigated the interplay between TECIN and HCD for industrialization gains.
Assessing organizational cohesion by the maximum caliber method
Authors: Lavanderos Leonardo , Fiol Eduardo , Araya Abelardo 
Published: December 2024

PurposeThe aim of this paper is to explore the conditions under which organizational networks achieve high levels of cohesion. It focuses on understanding the roles of interaction cycles, feedback loops and asymmetries in fostering cohesive networks. The study examines how the application of line integrals in closed paths can reveal insights into the cycles and feedback mechanisms influencing cohesion within these networks.Design/methodology/approachThis research uses the maximum caliber method to quantify organizational cohesion through the analysis of interactivity matrices. This approach integrates temporal dynamics and accounts for the complex interdependencies among actors within the network. The study is supported by a case study analysis, which demonstrates the practical application of these theoretical concepts in a real-world organizational context.FindingsThe application of the maximum caliber method offers a comprehensive understanding of organizational cohesion by effectively capturing the dynamic interactions within the network. The study reveals that cycles and feedback mechanisms within the network significantly affect cohesion, with interaction asymmetries playing a crucial role. The method also enables the identification of actors who contribute positively or negatively to cohesion, providing actionable insights for improving organizational performance.Originality/valueThis paper presents a novel methodological approach to analyzing organizational cohesion, enhancing both the theoretical and practical understanding of network dynamics. The findings provide valuable insights for organizational leaders and researchers, emphasizing the importance of managing interaction patterns to strengthen overall network cohesion and effectiveness. This approach offers a new perspective on measuring and influencing organizational cohesion, with significant implications for strategic management and organizational development.
Adopting artificial intelligence in Kenyan academic libraries: analyzing through the technology-organization-environment framework
Authors: Sang Lucy Jelagat 
Published: December 2024

PurposeThe main aim of the paper was to determine the effect of Technology–Organization–Environment (TOE) Framework on adoption of artificial intelligence (AI) in Kenyan academic libraries anchored on diffusion innovation and TOE theories.Design/methodology/approachThe target population comprised of 517 librarians, deputy librarian, and senior staff from 98 academic libraries from institutions of higher learning in Kenya. The study used stratified and random technique to sample 226 respondents.FindingsFindings showed that technology factors (relative advantages, compatibility, and complexity) and environmental factors (regulatory environment, competitive pressure, and vendor partnership) positively affect adoption of AI in Kenyan academic libraries. However, organizational factors (firm size, top management support, and organizational readiness) had insignificant effect on adoption of AI in Kenyan academic libraries.Research limitations/implicationsThe study underscores the necessity of proactive policy measures and managerial decisions to drive AI adoption in academic libraries. Policymakers must prioritize investments in training and resources to enhance staff readiness and create supportive regulatory environments. Library administrators play a pivotal role in demonstrating leadership support and effectively allocating resources to overcome implementation challenges. Tailoring adoption strategies to individual library needs and fostering collaboration between policymakers and administrators are critical for successful AI integration.Originality/valueOther studies that have been done on application of AI in academic libraries have taken broader approach but this study narrows its focus to highlighting the pivotal influence of technological factors on AI adoption in academic libraries, recognizing the benefits and obstacles inherent in integration.
Exploring loneliness in Indian married adults: the impact of age and marital quality
Authors: Varyani Kanishka , Sharma Ritu 
Published: December 2024

Purpose
The study aims explore the prevalence of lonliness among married adults in India along with examining its association with marital quality and age.

Design/methodology/approach
A total of 1,084 married adults across four age-groups were included in the sample of the study. Semi-structured questionnaire for demographic details with validated psychometric instruments like Marital Quality Scale (MQS) (Shah, 1995) and UCLA Loneliness Scale (version 3) (Russell, 1996) were used to collect the data. The data was analysed using multiple regression, cross-tabulation, chi-square(χ²) and Pearson correlation.

Findings
The study found that 46.4 % of the sample experienced moderately high level of loneliness. The participants in the age group of 31–40 years felt the maximum loneliness. 56.18 % participants of the sample experienced a severely affected marital quality. Strong and significant correlation was observed between marital quality and loneliness (r = 0.526). Negligible correlation was observed between age with loneliness (p > 0.05).

Practical implications
The study suggests the urgent need for interventions to enhance marital quality and should focus more on interpersonal factors such as communication style, conflict resolution, support from the spouse, increasing empathy, sexual satisfaction and intimacy rather than focusing only on demographic variables.

Social implications
The study will facilitate a better understanding of the pressing need to improve marital quality of Indian adults. Emphasizing on improving communication and intimacy in the marriage will improve overall well-being thereby also reducing loneliness.

Originality/value
To the best of the authors’ knowledge, this study is a first of its kind to explore the interrelationship between marital quality and loneliness among such a large sample in India. It also adds to the literature in understanding the dynamics of marital relationship.
Strategic leader or impulsive billionaire: Elon Musk’s early moves to turnaround Twitter
Authors: Frkal Robin , Lewis Michael S. 
Published: December 2024

Research methodology
This case was developed using secondary sources, including newspapers, periodicals and academic references.

Case overview/synopsis
This case examines tech billionaire Elon Musk’s early moves after taking over Twitter and whether those moves demonstrated strategic leadership. During the acquisition, many people were torn between whether Musk’s leadership would lead to this company’s turnaround or demise. Musk’s early moves after his acquisition provided evidence for both arguments. He conducted mass firings, insisted on long and intense hours from those who remained, and pursued a subscription model that provided user authentication and allowed most banned accounts back on the platform. Many felt these early moves were chaotic, whereas others thought it was necessary. Did Musk’s early moves demonstrate strategic leadership or impulsive behavior?

Complexity academic level
This case, designed for strategic management or strategic leadership courses at the graduate and undergraduate levels, has been rigorously tested in a classroom setting. It was successfully used with undergraduate business students in a strategic management course, supporting the chapter on strategic leadership.
Strategy to Identify Virulence‐Related Genes of the Pathogenic Fungus Trichosporon asahii Using an Efficient Gene‐Targeting System
Authors: Matsumoto Yasuhiko , Kurakado Sanae , Yamada Tsuyoshi , Sugita Takashi 
Published: December 2024

ABSTRACTTrichosporon asahii is a pathogenic fungus that causes severe deep‐seated mycosis in immunocompromised patients with neutropenia. Understanding the molecular mechanisms of T. asahii infection will facilitate the development of new therapeutic and preventive strategies. Two main obstacles have prevented the identification of virulence‐related genes in T. asahii using molecular genetic techniques: the lack of experimental animal infection models for easy evaluation of T. asahii virulence and the lack of genetic recombination technology for T. asahii. To address these issues, we developed a silkworm infection model to quantitatively evaluate T. asahii virulence and a genetic recombination method to generate gene‐deficient T. asahii mutants, enabling the identification of virulence factors of T. asahii. In this review, we propose a strategy for identifying virulence‐related factors in T. asahii using a silkworm infection model and an efficient gene‐targeting system.
Enhancing porosity prediction: Integrating seismic inversion utilizing sparse layer reflectivity, and particle swarm optimization with radial basis function neural networks
Authors: Kant Ravi , Kumar Brijesh , Singh Ajay P. , Hema G. , Maurya S. P. , Singh Raghav , Singh K. H. , Sarkar Piyush 
Published: December 2024

AbstractSeismic inversion, a crucial process in reservoir characterization, gains prominence in overcoming challenges associated with traditional methods, particularly in exploring deeper reservoirs. In this present study, we propose an inversion approach based on modern techniques like sparse layer reflectivity and particle swarm optimization to obtain inverted impedance. The proposed sparse layer reflectivity and particle swarm optimization techniques effectively minimize the error between recorded seismic reflection data and synthetic seismic data. This reduction in error facilitates accurate prediction of subsurface parameters, enabling comprehensive reservoir characterization. The inverted impedance obtained from both methods serves as a foundation for predicting porosity, utilizing a radial basis function neural network across the entire seismic volume. The study identifies a significant porosity zone (>20%) with a lower acoustic impedance of 6000–8500 m/s g cm3, interpreted as a sand channel or reservoir zone. This anomaly, between 1045 and 1065 ms two‐way travel time, provides high‐resolution insights into the subsurface. The particle swarm optimization algorithm shows higher correlation results, with 0.98 for impedance and 0.73 for porosity, compared to sparse layer reflectivity's 0.81 for impedance and 0.65 for porosity at well locations. Additionally, particle swarm optimization provides high‐resolution subsurface insights near well location and across a broader spatial range. This suggests particle swarm optimization's superior potential for delivering higher resolution outcomes compared to sparse layer reflectivity.
From Word Association Tests to Feeling‐Toned Complexes. A Jungian Perspective on Trauma1
Authors: Zoppi Luisa 
Published: December 2024

AbstractIn this paper, I would like to highlight how the view of the psyche as a network of complexes is central to understanding how trauma works and its treatment from a Jungian perspective. Despite Jung’s theory of complexes and his study of the splitting processes of the psyche being at the very core of his understanding of psychic functioning, analytical psychology has struggled to find its proper place in the international debate on trauma. The Word Association Tests (WAT) opened the way to Jung’s first insights on the complex psyche, i.e., a psyche made up of complexes. Currently, the complex is a cornerstone concept in analytical psychology; it is understood as the smallest functional unit of the psychic structure and can become autonomous when there is “a so‐called trauma, an emotional shock or some such thing, that splits off a bit of the psyche” (Jung, 1934, para. 204). The work of Donald Kalsched on trauma and complexes has helped to further the debate on the role of the theory of complexes in Jungian analysis and practice. A clinical case is presented to highlight the functioning of the psyche when facing trauma and how analysis can work with split‐off complexes throughout a whole analytic journey. Furthermore, similarities between the concepts of complexes—as seen in current analytical psychology—and emotional schemas as conceptualized by the Freudian analyst Wilma Bucci (2009) are highlighted.
Fishing for the missing: The application of recreational fish finders for underwater body detection in shallow waters
Authors: Martlin Britny A. , Bell Lynne S. 
Published: December 2024

AbstractEarly detection of submerged bodies is essential to increase the possibility of recovery. Different water bodies present different challenges, particularly rivers and the ocean, where chances of detection are vastly reduced. Modern recreational fish finders incorporate multiple sonar technologies, including Sidescan sonar, at high‐frequency resolutions, similar to commercial units. Recreational units are widely available and usually hull‐mounted, allowing them to be utilized on almost any vessel in shallow and difficult to navigate environments. Recreational fish finders are currently an untapped resource which may assist search teams with the early detection and recovery of human remains submerged in shallow water (<20 m). This research investigated the efficacy of a modern recreational fish finder attached to a kayak to detect human proxies and living human volunteers submerged at shallow depths in (1) two indoor freshwater environments and (2) two outdoor environments (a freshwater lake and a nearshore coastal environment). Results demonstrated that recreational fish finders can detect human bodies submerged in both fresh and saltwater contexts at shallow depths within the water column and on the water bottom. Recreational units equipped with Sidescan sonar (800 kHz) provided the necessary resolution for underwater body detection at shallow depths. These sophisticated sensors are currently used by recreational boaters and anglers, and offer the opportunity to increase the eyes in the water not just by search and recovery teams, but by the public itself.
Neural responses to stress and alcohol cues in individuals with pain with and without alcohol use disorder
Authors: Radoman Milena , McGowan Colleen , Heilner Emily , Lacadie Cheryl , Sinha Rajita 
Published: December 2024

AbstractPain and alcohol use disorder (AUD) frequently co‐occur, but the underlying neurobiology is not well‐understood. Although many studies have reported disruptions in stress and reward cue‐elicited neural reactivity and heightened alcohol craving in individuals with AUD, little is known about these constructs among patients who experience pain. Here, individuals with pain (Pain+, n = 31) and without pain (Pain−, n = 37) completed a well‐validated functional magnetic resonance imaging (fMRI) paradigm involving stress (S), alcohol (A) and neutral (N) cue exposure with repeated alcohol craving assessments. Using whole‐brain, voxel‐based analyses (p < 0.001, whole‐brain cluster correction at α < .05), the Pain+ versus Pain− group evidenced greater dorsal anterior cingulate cortex and left amygdala hyperactivation during N, but hypoactivation during the S‐N contrast. Additionally, Pain+ exhibited blunted right anterior insular cortex (AIC) during S‐N and blunted anteromedial thalamus and left AIC with hyperactive orbitofrontal cortex (OFC) during A‐N. Exploratory analyses further revealed that individuals with pain and AUD (n = 17) relative to pain alone (n = 14) showed hyperactive bilateral AIC and hypoactive right dorsal caudate during A‐N. Alcohol cue‐induced craving, significantly higher in Pain+ (p = 0.03), correlated with blunted right AIC and OFC responses during A‐N. In sum, these results provide first evidence of heightened alcohol cue‐elicited craving and disrupted stress‐ and alcohol cue‐reactivity within corticostriatal‐limbic regions implicated in negative affect and preoccupation/anticipation stages of AUD in those with pain and with comorbid pain and AUD. Future investigations of pain‐AUD interaction are needed that include systematic pain assessment and longitudinal designs with larger sample sizes.