bluuebunny/crossref_metadata_2025_split huggingface dataset:
A typology of born global firms’ attributes and future directions
Authors: Khan Huda , Cavusgil S. Tamer 
Published: December 2024

Purpose
The phenomenon for born global firms (BGFs) has become mainstream, which is observed across many industries and countries. This study aims to distill extant literature regarding BGFs to uncover critical attributes shared by BGFs. It applies a frame-based approach, a relatively under-applied methodology in the international business (IB) literature, to develop a multi-dimensional typology of BGFs’ attributes.

Design/methodology/approach
A frame-based methodology was used to uncover and classify the dimensions of BGFs’ attributes that emanate from the literature.

Findings
With BGFs as the superordinate phenomenon or concept, a typology of five subordinate dimensions emerged, namely, defining characteristics, orientations, capabilities, resources; strategies/actions.

Originality/value
This paper offers three important contributions. First, it provides a clear delineation of attributes associated with BGFs to provide a holistic perspective of the born global phenomenon. Second, it demonstrates a relatively under-applied frame-based methodology to analyze the BGFs’ attributes and presents conceptual clarity based on the literature review. Third, this paper identifies critical areas and recommends important guidelines for future scholarly developments in the born global literature.
Followership role orientations in clothing factories: a lower-level managers’ perspective
Authors: Kotsev Emil 
Published: December 2024

Purpose
The purpose of this paper is twofold: first, to explore three dimensions (initiative, conformity and distance) of followership role orientation among lower-level managers in apparel factories, and second, to examine to what extent these orientations are influenced by the position held and the tasks performed.

Design/methodology/approach
Pragmatism is selected as the research philosophy and a quantitative research design is adopted. Empirical data is obtained through a combination of exploratory and descriptive research strategies. The research was conducted in eight Bulgarian enterprises, and 219 managers took part in it.

Findings
Lower-level managers in clothing factories indicate low-to-moderate initiative orientation, moderate-to-high conformity orientation and low-to-moderate distance orientation. It is found that the position held and tasks performed influence the followership role orientations of lower-level managers. The influence is most significant regarding the conformity orientation – foremen and storekeepers show moderate-to-high conformity, QC supervisors are neutral and technologists express low-to-moderate conformity.

Originality/value
This paper is the first to study the followership role orientations of lower-level managers in apparel manufacturers. A unique combination of dimensions is used to measure follower orientations and a new assessment tool is described and validated. Thus, the study fills a significant gap in followership theory and enriches the practical toolkit for managing employee relations in clothing factories.
Spectrophotometric and calculative determination methods of textile color-difference threshold considering the observing condition
Authors: Chae Youngjoo 
Published: December 2024

Purpose
This study aims to investigate the varying color-difference thresholds for textiles under various illuminants.

Design/methodology/approach
To determine color-difference thresholds, 108 fabric samples with widely ranging colors were spectrophotometrically measured and visually assessed under four illumination conditions (correlated color temperatures of 2,856 K and 6,504 K; illuminances of 100 lx and 2,000 lx).

Findings
The mean spectrophotometric color-difference threshold (solely based on the textile’s physical color attributes in machine vision) was 4.22 ΔE*ab; thus, a mechanically measured color difference between two textiles (regardless of illuminant) of less than 4.22 ΔE*ab indicated individuals’ inability to differentiate between two textiles. The calculated color-difference thresholds, which reflected the color differences perceived by people considering textiles’ physical color attributes and the environmental factors in which they were observed, were higher than the spectrophotometric thresholds. This meant that under various illuminants, people had greater difficulty perceiving color differences than mechanically measured spectrophotometric thresholds. Particularly, larger discrepancies between the two threshold types occurred under reddish illuminants of 2,856 K than under bluish-white illuminants of 6,504 K. Furthermore, the extent to which people perceived color differences as distinct from actual differences under illumination was larger for greenish-blue textiles than for textiles of other hues.

Originality/value
The determined spectrophotometric and calculative color-difference thresholds for textiles can help fashion companies predict consumers’ perceptions of the colors of their textile products under various illuminants and, accordingly, appropriately plan colors of products and create standards for color quality control.
The SROI puzzle: exploring barriers and strategies for effective social value measurement
Authors: Giorbelidze Maya 
Published: December 2024

Purpose
The study aims to explore the complexities and challenges of measuring social impact, with a particular emphasis on the practical application of the social return on investment (SROI) methodology. By investigating social enterprises in Georgia, the study seeks to understand how social value is quantified and the implications of such measurements for policy and practice.

Design/methodology/approach
This study uses a mixed-methods approach, centered on the SROI methodology, to measure the social impact of 11 social enterprises in the Republic of Georgia. It incorporates qualitative interviews and quantitative financial analysis, engaging stakeholders from enterprises, beneficiaries and local authorities. The methodology adapts SROI to the Georgian context, addressing challenges such as data scarcity and cultural sensitivity.

Findings
Findings reveal significant challenges in social impact measurement, including the complexity of quantifying diverse impacts, lack of standardized methodologies and resource constraints. The application of SROI in Georgia demonstrates its flexibility and the critical role of stakeholder engagement, yet underscores the need for context-specific adaptations and rigorous data collection.

Research limitations/implications
The study is limited by its geographic focus on Georgia, which may affect the generalizability of findings. In addition, the reliance on stakeholder-reported data introduces potential biases. These limitations highlight the necessity for broader, cross-cultural studies and methodological advancements in social impact measurement.

Practical implications
The study offers practical insights for organizations implementing SROI, emphasizing the importance of stakeholder engagement, cultural sensitivity and adapting methodologies to local contexts. It suggests strategies for overcoming data limitations and enhancing the credibility of social impact assessments.

Social implications
The research underscores the transformative potential of social enterprises in addressing societal challenges. By quantifying social impact, organizations can better articulate their contributions to societal well-being, informing policy decisions and fostering a culture that values social over mere economic returns.

Originality/value
This study contributes to the literature on social impact measurement by detailing the application of SROI in a novel context – Georgia. It addresses a significant gap in understanding how social impact can be measured in transitional economies and offers valuable insights into the methodological and practical challenges involved.
Isolation and characterization of a novel methanogen Methanosarcina hadiensis sp. nov. from subsurface Boom Clay pore water
Authors: Giménez Francisco Javier , Peeters Eveline , Honty Miroslav , Leys Natalie , Mijnendonckx Kristel 
Published: December 2024

AbstractSafe geological disposal of radioactive waste requires a thorough understanding of geochemical conditions in the host formation. Boom Clay is a potential candidate in Belgium, where active methanogenesis has been detected in its deep subsurface, influencing the local geochemistry. However, the pathways driving this process and the characteristics of the methanogenic archaea involved remain unclear. We isolated a distinct archaeal strain from Boom Clay pore water and characterized it geno‐ and phenotypically. Isolate TD41E1‐1 belongs to a novel species of the Methanosarcina genus, for which the name Methanosarcina hadiensis sp. nov. is proposed. TD41E1‐1 cells are coccus‐shaped, irregularly sized cells enveloped by extracellular polymer substances. Growth and substrate utilization experiments and genomic analysis demonstrated that the strain prefers methylated compounds or hydrogen as substrates for methane production. Although it possesses a complete acetoclastic pathway, no growth was observed in the presence of acetate in the tested conditions. Based on its phylogenetic relation to other known Methanosarcina species and on the presence of c‐type cytochromes, it can be concluded that the strain likely occupies an intermediate position between type I and type II Methanosarcina species. These findings provide valuable insights for assessing Boom Clay's suitability for geological disposal of radioactive waste.
Examining the Inclusion of Trust and Trust‐Building Principles in European Union, Italian, French, and Swiss Health Data Sharing Legislations: A Framework Analysis
Authors: ZAVATTARO FEDERICA , von WYL VIKTOR , GILLE FELIX 
Published: December 2024

Policy Points
First, policymakers can strengthen the inherent trust‐building effect of legislations on citizens by incorporating trust‐building principles within health data‐sharing legislations in a recognizable and comprehensive manner to explicitly signal public trust to policy implementers as one of the policy outcomes to be achieved in the implementation phase.
Second, policymakers can use the proposed “public trust in health data sharing” framework as an initial guide to incorporate trust‐building principles within health data‐sharing legislations.
ContextPublic trust is critical to both system legitimacy and the successful implementation of data‐driven health initiatives. Legislations are an essential instrument for building public trust, as they can have a dual effect on trust: a passive effect by reinforcing the public perception of an active regulatory system that upholds the rule of law and an active effect as a tool for policymakers to signal trust‐building actions to be undertaken during the implementation phase. However, there is limited evidence on the extent to which health data‐sharing legislations contain references to trust and trust‐building principles for their practical implementation.MethodsBy applying an evidence‐based “public trust in health data sharing” framework, 36 legislations from the European Union (EU), Italy, France, and Switzerland on health data sharing were analyzed to assess 1) how the term “trust” is embedded in legislations, and 2) the presence and quality of trust‐building principles within the selected legislations.FindingsNine legislations incorporated references to “trust,” mainly within the explanatory memorandum and preambles of EU legislations. The most prevalent trust‐building principles were “agencies of accountability” (72%) and data “security” (70%). In contrast, the principles “public information” (14%) and “time” (6%) were the least presented. Moreover, the qualitative analysis showed that the majority of the trust‐building principles were implicit in the legal text, with Swiss legislations having the highest number of explicit references.ConclusionsThe limited and implicit use of “trust” and trust‐building principles in EU, Italian, French, and Swiss legislation emphasizes the opportunity to raise policymakers’ awareness of these principles. The proposed framework provides an initial guide for policymakers to incorporate trust‐building principles within health data‐sharing legislations in a recognizable and comprehensive manner. This ensures that policy implementers at various stages of the policy process can implement trust‐building actions, contributing to public trust building in both European and national health data‐sharing initiatives.
Internal Crisis Communication in Hospitals the Choice of Communication Channels and Its Impact on Effectiveness
Authors: Winzer Hendrik , Stevik Tor K. , Scholderer Joachim 
Published: December 2024

ABSTRACTThe COVID‐19 pandemic has highlighted the need for effective internal crisis communication (ICC) in hospitals. However, only little is known about how the choice of communication channels influences the effectiveness of ICC. Our case study offers novel insights into this relationship. We performed an in‐depth analysis of ICC during the COVID‐19 pandemic at a Norwegian tertiary public hospital. We conducted 22 in‐depth interviews with stakeholders from various hierarchical levels who actively participated in ICC. We mapped the relationships of the actors involved in ICC and performed a social network analysis. The emergency reorganization of the hospital made ICC processes more complex compared to the ordinary line structure of communication, and on lower hierarchical levels several redundant (and not necessarily officially approved) communication channels were used. Moreover, we found that the effectiveness of ICC was reduced by communication channels with speed and bandwidth limits. In contrast, communication channels with a high capability to transmit contextualized information improved the effectiveness of ICC. Since our case hospital shares common characteristics with many other tertiary public hospitals, including fragmentation of responsibilities during crisis response, we use our results as a basis for recommending appropriate communication channels and avoiding a decoupling of ICC between hierarchical levels and professions.
Case Report: Acute Additive Polyarthritis as a Presentation of Type 2 Lepromatous Reaction: The Role of Differential Diagnosis
Authors: Pérez Mingan Gloria Caterine , Llamas Castellanos Bruny Carolina , Álvarez Lora Esaú del Cristo , Palomino Vergara María Judith , Camacho Chaljub Francisco 
Published: December 2024

ABSTRACTIntroductionType 2 lepromatous reaction is a severe complication triggered by proinflammatory cytokines, it affects patients with lepromatous leprosy and border lepromatous leprosy. This reaction can occur before, during, or after treatment.Case ReportWe report a case of acute polyarthritis as type 2 lepromatous reaction debut. A 30‐year‐old male with a history of Hansen's disease 5 years ago received a complete therapeutic regimen with cure criteria. Consulted due to a 3‐day history of arthralgia predominantly affecting the hands, knees, and feet. On the fifth day of hospitalization, the patient developed intensely painful, nodular erythematous lesions. The pathological history, clinical presentation, and the presence of polymorphonuclear cells led to the diagnosis of type 2 lepromatous reaction.ConclusionIdentifying individuals with risk factors or a history of leprosy, along with a high index of suspicion, positively impacts the early identification of leprosy reactions as an imitator of other causes of acute or chronic symmetrical polyarthritis.
Whombat: An open‐source audio annotation tool for machine learning assisted bioacoustics
Authors: Martínez Balvanera Santiago , Mac Aodha Oisin , Weldy Matthew J. , Pringle Holly , Browning Ella , Jones Kate E. 
Published: December 2024

Abstract

Automated analysis of bioacoustic recordings using machine learning (ML) methods has the potential to greatly scale biodiversity monitoring efforts. The use of ML for high‐stakes applications, such as conservation and scientific research, demands a data‐centric approach with a focus on selecting and utilizing carefully annotated and curated evaluation and training data that are relevant and representative. Creating annotated bioacoustic datasets presents a number of challenges, such as managing large collections of recordings with associated metadata, developing flexible annotation tools that can accommodate the diverse range of vocalization profiles of different organisms and addressing the scarcity of expert annotators.

We present Whombat, a user‐friendly, browser‐based interface for managing audio recordings and annotation projects, with several visualization, exploration and annotation tools. It enables users to quickly annotate, review, and share annotations, as well as visualize and evaluate a set of machine learning predictions on a dataset. The tool facilitates an iterative workflow where user annotations and machine learning predictions feedback to enhance model performance and annotation quality.

We demonstrate the flexibility of Whombat by showcasing two distinct use cases: (1) a project aimed at enhancing automated UK bat call identification at the Bat Conservation Trust (BCT), and (2) a collaborative effort among the USDA Forest Service and Oregon State University researchers exploring bioacoustic applications and extending automated avian classification models in the Pacific Northwest, USA.

Whombat is a flexible tool that can effectively address the challenges of annotation for bioacoustic research. It can be used for individual and collaborative work, hosted on a shared server or accessed remotely, or run on a personal computer without the need for coding skills. The code is open‐source, and we provide a user guide.
Counternarratives of COVID‐19: Girls' stories of disrupted schooling in Malawi
Authors: Silver Rachel , Makhuva Stella , Morley Alyssa 
Published: December 2024

AbstractThis article challenges mainstream discourses of girls' education during COVID‐19 that sexualize girls in the Global South and reproduce racialized differences. We draw on a longitudinal cohort study of Malawian young women conducted from 2020 to 2023 to offer counternarratives of the intersecting risks to school retention. We argue that the pandemic was less a rupture for girls' status quo than an intensification of the conditions that already characterized school‐going amidst “syndemic” conditions, including climate change, the transformation of relations of care, and the privatization of public education.
Why does the brain matter for education?
Authors: Thomas M. S. C. , Arslan Y. 
Published: December 2024

AbstractBackgroundThe present special issue on mind, brain and education (educational neuroscience) contains four papers that employ a neuroscience‐informed approach to educational phenomena, including dyslexia, academic self‐concepts, bullying and the effect of mindset on learning.AimThis commentary positions the papers with respect to the goals and methods of educational neuroscience, placing them on a continuum of approaches from basic research to applied intervention.ProcedureWe argue that a focus on the brain matters for teachers because it increases understanding of how learning works and the factors that influence learning outcomes and student well‐being without being reductionist. Constraints on learning that arise from biology sometimes seem arbitrary outside a neuroscience framework (several examples are provided). A neuroscience perspective encourages a more holistic and developmental view of learning than a narrow cognitive (memory) oriented approach. Because educational neuroscience is an inherently translational field that relies on dialogues between researchers and practitioners, we argue it is important to understand how teachers view the field and how insights from the science of learning might usefully feed into their practice. We then assess the insights, strengths and limitations of the four papers, as well as the potential that their respective lines of work offer.
Targeting acetylated high mobility group box 1 protein (HMGB1) and toll‐like receptor (TLR4) interaction to alleviate hypertension and neuroinflammation in fructose‐fed rats
Authors: Lin Yu‐Te , Ho Chiu‐Yi , Sun Gwo‐Ching , Wong Tzyy‐Yue , Hsiao Michael , Tseng Ching‐Jiunn , Cheng Pei‐Wen 
Published: December 2024

AbstractBackground and PurposeOur previous study reported that fructose intake increased systemic blood pressure and reduced nitric oxide (NO) in the nucleus tractus solitarius (NTS) due to oxidative stress and neuroinflammation. However, it remains unclear how reactive oxygen species (ROS) reduce NO and how this process impacts neuroinflammation in the NTS. This study aimed at investigating the effect of ROS on acetylation of high mobility group box 1 protein (HMGB1) in the NTS of fructose‐induced hypertensive rats.Experimental ApproachMale Wistar‐Kyoto (WKY) rats were fed with 10% fructose water to elevate blood pressure. Thereafter, CLI‐095 and glycyrrhizic acid (GA) treatments were delivered for up to 2 weeks (1 mg·12 μL−1·day−1, by intracerebroventricular injection) to reduce the negative effects of toll‐like receptor 4 (TLR4) and HMGB1 activation.Key ResultsTwo weeks of CLI‐095 and GA treatment reduced systemic blood pressure and significantly preserved neuronal and endothelial nitric oxide synthase (nNOS and eNOS) availability against the inflammatory insults of fructose consumption. Both CLI‐095 and GA halted the interaction of acetylated HMGB1 and TLR4. Two weeks of CLI‐095 and GA treatment markedly reduced NTS inflammation (pro‐inflammatory cytokines and microglial activation) and lowered serum norepinephrine levels.Conclusion and ImplicationsOur data reveal novel pharmacological properties for CLI‐095 and GA, which improved blood pressure and inflammatory conditions by decreasing the interaction of acetylated HMGB1 with TLR4. These findings challenge the commonly accepted dogma that essential hypertension is specifically mediated by neuroinflammation due to acetylated HMGB1 coupling to TLR4.
A Synthesis of Threats Impacting Australian Threatened Ecological Communities
Authors: Olivares‐Rojas Javiera P. , Cook Carly N. , Duncan David H. , Walsh Jessica C. 
Published: December 2024

ABSTRACTAimEffective strategies to mitigate threats are crucial to ensure the persistence of biodiversity. In contrast to the decades of research on threatened species in Australia, threatened ecological communities (TECs) have historically received less attention. In particular, there is no synthesis of the threats impacting ecological communities, limiting our ability to coordinate and prioritise management towards recovery. In this study, we aimed to: (1) compile and summarise the threats to Australian TECs to identify the most prevalent causes of decline and (2) identify common management strategies for TEC recovery.LocationAustralia.MethodsWe conducted a content analysis to extract and categorise data on threats for 103 TECs to develop the first national threats database along with a standardised classification scheme. We summarised the broad and specific threats impacting TECs and translated recovery needs of TECs into threat abatement strategies.ResultsMost Australian TECs are threatened by multiple and diverse threats (an average of 14.4 threats per TEC). These spanned 49 threats (e.g., nutrient loads), categorised into eight broad‐level threats (e.g., pollution). The most prevalent broad‐level threats are ‘Invasive species and disease’ and ‘Habitat loss, fragmentation and degradation’, each impacting at least 98% of TECs. Almost all TECs would benefit from threat mitigation strategies such as habitat restoration, invasive weed management and ecological fire regime management.Main ConclusionsOverall, the threats database we developed can be used to inform conservation planning and effective threat abatement strategies tailored to the recovery of TECs at local, regional and national scales. It will also facilitate integrated analyses of threats and conservation actions between TECs and threatened species to increase management efficiencies.