bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting access-based consumption practices through fashion renting: evidence from Italy
Authors: Savelli Elisabetta , Francioni Barbara , Curina Ilaria , Cioppi Marco 
Published: January 2024

Purpose
The purpose of this study is to extend the research on fashion renting (FR) by investigating how personal and social motives (i.e. “subjective norms”, “perceived behavioural control”, “sustainable orientation” and “FR benefits”) affect consumers’ attitudes and intentions towards it. In addition, personality traits are investigated as potential antecedents of FR, resulting in the proposal of an overall framework that combines the theory of planned behaviour with the trait theory approach.

Design/methodology/approach
Data were collected in Italy from a sample of 694 consumers, mainly females (88%), with an average age of 28.8 years and coming from all over the country. The collected data were then processed via structural equation modelling.

Findings
The results indicated that intention towards FR is influenced by attitude, which, in turn, is affected by social norms, perceived behavioural control, sustainable orientation and FR benefits. Furthermore, only fashion leadership acts as a direct antecedent of FR attitude, while the need for uniqueness and materialism plays critical roles as predictors of personal and social motives. Subjective norms and perceived behavioural control also serve as mediators of the significant relationships between personality traits and attitudes towards FR.

Practical implications
The study provides useful implications for fashion rental companies in attracting consumers and offers a foundation for further research on transforming traditional consumption into a more sustainable one.

Originality/value
The study presents new knowledge on the rental phenomenon in the fashion sector by responding to the call to deepen the analysis of factors that influence consumers’ adoption of FR from the perspectives of personal and social motives and personality traits.
Data quality assurance in research data repositories: a theory-guided exploration and model
Authors: Stvilia Besiki , Lee Dong Joon 
Published: January 2024

PurposeThis study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.Design/methodology/approachThe study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.FindingsThe study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.Practical implicationsThe study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.Originality/valueTo the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.
Disclosure-based regulation and municipal security trade prices
Authors: Dzigbede Komla D. 
Published: January 2024

Purpose
This paper aims to measure the trade price impact of a recent regulatory disclosure intervention in municipal securities secondary markets, which required broker-dealers to disclose securities trading information on a near-real-time and continuing basis.

Design/methodology/approach
The author analyzes trade price outcomes in the preintervention and postintervention regimes using a suite of time series estimations that give heteroskedasticity-robust standard errors (Prais–Winsten and Cochrain–Orcutt), accommodate higher-order lag structure in the error term (autoregressive integrated moving average) and account for volatility clustering in the time series (generalized autoregressive conditional heteroskedasticity).

Findings
Results show that regulatory disclosure intervention significantly improved trade price efficiency in municipal securities secondary markets as daily trade price differential and volatility both declined market-wide after the disclosure intervention.

Research limitations/implications
The sample consists of trades in State of California general obligation bonds; therefore, empirical findings may not be generalizable to other states, local governments and different types of bonds.

Practical implications
The findings highlight voluntary information disclosure as a practical and effective mechanism in disclosure regulation of municipal securities secondary markets.

Originality/value
Only a small body of work exists that examines information disclosure regulation in municipal securities secondary markets; therefore, this paper expands knowledge on the topic and should provide renewed impetus for regulatory efforts aimed at improving the efficiency of municipal capital markets.
The interactive effect of individual and co-worker narcissism on counterproductive work behavior
Authors: Chambers Valerie A. , Hayes Matthew J. , Reckers Philip M.J. 
Published: January 2024

PurposeCounterproductive work behavior (CWB) imposes significant costs on organizations, thus antecedents of CWB are of particular interest to both practitioners and academics. The authors examine how one’s own narcissism interacts with co-worker narcissism to influence willingness to engage in retaliatory CWB against a co-worker.Design/methodology/approachThe data for this study were obtained from Amazon Mechanical Turk participants and Master of Business Administration students, representing a cross-section of employee representatives.FindingsThe authors find that employees expect narcissistic co-workers to engage in continuing future CWB and this, in turn, increases employees' willingness to engage in retaliatory CWB. That is, non-narcissistic employees are provoked to engage in organizationally-destructive behaviors by peers perceived as narcissists. This affect is attenuated by the employee’s own narcissism. Relative to non-narcissists, narcissistic employees find a narcissistic co-worker more likeable, which reduces their willingness to engage in retaliatory CWB against the co-worker.Practical implicationsFor corporations and HR managers, this study demonstrates the caution necessary when considering hiring and operational practices. Specifically, non-narcissists demonstrate increased willingness to engage in organizationally-destructive behaviors after interpersonal conflict with a narcissistic co-worker.Originality/valueThe authors extend prior research about interpersonal drivers of CWB, which primarily considered superior-subordinate dyad, by examining the joint effects of individual and co-worker narcissism in peer-to-peer relationships.
Culturally responsive and communicative teaching for multicultural integration: qualitative analysis from public secondary school
Authors: Huda Miftachul , Bakar Abu 
Published: January 2024

PurposeThe aim of this paper is to examine the strategic approach of culturally responsive and communicative teaching (CRCT) through a critical assessment of interracial teachers in their daily school interactions.Design/methodology/approachThe empirical data were obtained through interviews among ten interracial teachers. The analysis was made through a thematic approach to obtain substantial data from interviews.FindingsThe findings reveal that attempts to gain sufficient comprehension of CRCT are actualized through routine interaction in the multicultural school environment hence resulting in embedding self-awareness of cultural competence in a multicultural classroom, constructing emotional and social development on cultural awareness and internalizing responsive awareness on social engagement in global learning.Originality/valueThe contribution of this research provides an insightful value on expanding key consideration to support the multicultural classroom environment with an active engagement and enhancement of CRCT as fundamental basis of the multicultural classroom.
HOUSING BEYOND THE METROPOLIS: Inhabiting Extractivism and Extensions in Urban Amazonia
Authors: Castriota Rodrigo 
Published: January 2024

AbstractThis article contributes to debates on the decentering of urban research by critically examining emergent forms of housing in the mining municipality of Canaã dos Carajás, Brazil, beyond the dominant lexicons that have emerged from the country's metropolises. The notion of ‘beyond the metropolis’ is offered here as a geographically situated, conceptual placeholder that empirically grounds calls for dislocating urban research. I draw upon fieldwork conducted in Canaã in 2018 and 2019, after the construction of the largest open‐pit mine in human history, which attracted tens of thousands of migrants and more than doubled Canaã's population in five years, creating a severe housing crisis. By looking closely at how regional developers, local authorities, mining giant Vale as well as Amazonian majorities came up with their own ‘solutions’ to the housing problem they faced, I foreground the role of ‘extractivism’ and ‘extensions’ in driving and shaping urbanization and inhabitation—beyond the metrocentric emphasis on agglomerative dynamics driven by industrialization and rural‐to‐urban migration. This twofold conceptual grammar grounded in non‐metropolitan Amazonia is absent from current housing debates and illustrates the generative analytical potential inherent in the move beyond the metropolis.
Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools
Authors: Mu Wenjuan , Kleter Gijs A. , Bouzembrak Yamine , Dupouy Eleonora , Frewer Lynn J. , Radwan Al Natour Fadi Naser , Marvin H. J. P. 
Published: January 2024

AbstractTo enhance the resilience of food systems to food safety risks, it is vitally important for national authorities and international organizations to be able to identify emerging food safety risks and to provide early warning signals in a timely manner. This review provides an overview of existing and experimental applications of artificial intelligence (AI), big data, and internet of things as part of early warning and emerging risk identification tools and methods in the food safety domain. There is an ongoing rapid development of systems fed by numerous, real‐time, and diverse data with the aim of early warning and identification of emerging food safety risks. The suitability of big data and AI to support such systems is illustrated by two cases in which climate change drives the emergence of risks, namely, harmful algal blooms affecting seafood and fungal growth and mycotoxin formation in crops. Automation and machine learning are crucial for the development of future real‐time food safety risk early warning systems. Although these developments increase the feasibility and effectiveness of prospective early warning and emerging risk identification tools, their implementation may prove challenging, particularly for low‐ and middle‐income countries due to low connectivity and data availability. It is advocated to overcome these challenges by improving the capability and capacity of national authorities, as well as by enhancing their collaboration with the private sector and international organizations.
Manipulating larval rearing media to optimise mass production of the blow fly Calliphora vicina (Diptera: Calliphoridae)
Authors: Cook David F. , Tufail Muhammad Shoaib , Howse Elliot T. , Voss Sasha C. 
Published: January 2024

AbstractThe oviparous blow fly Calliphora vicina has shown potential as a managed pollinator to support honeybee (Apis mellifera) usage in Australian horticulture. A series of three laboratory‐based studies reared newly hatched larvae of C. vicina on meatmeal with varying amounts of either whole egg powder, whole eggs (including shells), bran flakes, brewer's yeast, fish paste or milk powder. The objective was to determine the best larval media for quick and efficient production of adult flies in a mass‐rearing environment. Pure meatmeal or meatmeal with only brewer's yeast added were the least productive media. Larvae fed meatmeal with either 10% or 20% whole dried egg powder had the fastest development to pupae, the highest pupation rate, the heaviest pupae and the highest subsequent adult eclosion. Larval media containing fish paste had the highest survival through to adult emergence (>85%) of all the media treatments, which suggests that this ingredient is of value when mass rearing C. vicina. In addition, newly hatched larvae (n = 50) were reared on varying amounts of media (i.e., 4, 2, 1, 0.5, 0.25 and 0.125 g per larvae) to determine the minimum amount of media required to produce adults. Reductions in media per larvae resulted in smaller pupae and adults that emerged with no subsequent reduction in adult eclosion, indicating the adaptability of this fly to food deprivation. Replacing whole egg powder with whole eggs reduces the costs of rearing C. vicina larvae significantly. In order to rear 1 million adult C. vicina, these studies showed that 0.5 g of media per larvae is sufficient to produce high numbers of pupae with >95% adult eclosion. Although larval development and pupation are optimal on media containing whole egg powder, its recent rapid rise in costs makes it far less economical compared with the use of discarded whole eggs from egg producers. Sourcing of seafood waste could also reduce media costs and improve production of C. vicina. The costs of each media required to realise 1 million adult C. vicina are between $540 and $1900 depending on the media ingredients.
Regulation of UCP2 in nonalcoholic fatty liver disease: From mechanisms to natural product
Authors: Hao Liyuan , Li Shenghao , Chen Guo , Hu Xiaoyu 
Published: January 2024

AbstractNonalcoholic fatty liver disease (NAFLD) is a chronic liver disease associated with lipid deposition in liver cells and/or subsequent inflammation, excluding other known causes. NAFLD is a subset of metabolic syndrome that ranges from simple steatohepatitis (NASH), fibrosis to cirrhosis and hepatocellular carcinoma (HCC). At present, the pathogenesis of NAFLD remains unclear. Among the many factors that shape these transitions, uncoupling protein 2 (UCP2) may be involved in every stage of the disease. UCP2 is a carrier protein that responds to fatty acids (FAs) in mitochondrial intima and has a wide tissue distribution. However, the biological function of UCP2 has not been fully elucidated, and most of our current knowledge comes from cell and animal experiments. These data suggest that UCP2 plays a role in lipid metabolism, oxidative stress, apoptosis, and even cancer. In this review, we summarize the structure, distribution, and biological function of UCP2 and its role in the progression of NAFLD, as well as natural products targeting UCP2 to improve NAFLD.
Analyzing the health implications of rising income inequality: What does the data say?
Authors: Acheampong Alex O. , Opoku Eric Evans Osei 
Published: January 2024

AbstractDoes income inequality worsen a country's health outcomes? In this study, we examine the effect of income inequality and redistribution on health outcomes using a panel dataset for a global sample of 154 countries from 1990 to 2020, and the instrumental variable method. The evidence from the empirical analyses revealed that, on average, higher income inequality is associated with poor health outcomes. On the other hand, this study documented that, on average, countries with higher income redistribution have better health outcomes. From regional analyses, we documented that income inequality strongly worsens health outcomes in South Asia, the Middle East and North Africa, sub‐Saharan Africa and the Caribbean and Latin America. We found that education, environmental pollution, health expenditure and GDP per capita are the potential channels through which income inequality affects health outcomes. The findings established in this study suggest that a political environment that supports better income distribution would lead to better health outcomes.
Charities and resilience: From austerity to COVID‐19
Authors: Lambert Vicky , Paterson Audrey 
Published: January 2024

AbstractUnderstanding how charities have survived, and sometimes thrived, in the face of crisis has given rise to an increased interest in the resilience of these organizations. Research on dealing with uncertainty and crisis situations notes the ability to adapt as a critical resilience component (Siders, 2019). However, resilience and adaptive capacity in the charity sector are under‐researched areas. This paper contributes to filling this gap by investigating two midsized Scottish charitable organizations that have weathered two significant crises: austerity as a result of the financial crisis of 2008 and the COVID‐19 pandemic. The study findings enhance resilience research by shedding light on the processes, actions and collaborations that facilitate resilience, and the importance of adaptive capacity in response to crisis. Two distinct approaches to resilience were identified: (1) a strategic approach to resilience, where the charity thrived in the face of crisis and demonstrated high levels of adaptive capacity, and (2) a pragmatic approach, where resilience equated to survival, adaptive capacity was low and, as a result, growth was limited.
How large families fare in Germany: Examining child poverty risks and policy solutions
Authors: Köppe Stephan , Curran Megan , Aldama Iñigo 
Published: January 2024

AbstractHistorically, researchers and policymakers alike recognized the risk of poverty among large families, but family size is often neglected in the contemporary literature. This article revives an examination of the connections between family size and poverty risk for children with a focus on Germany. We take a child‐centered perspective by analyzing a sample of 13–14 year‐old children from the National Educational Panel Study (NEPS). First, we provide a detailed overview of the welfare and tax policies aimed at large families in Germany. Next, we estimate the poverty risk and prevalence for children in large families (looking at families with 3+ and 4+ children). Finally, we discuss how the policy and socio‐economic context interacts with the risk of poverty. We identify that the means‐tested social assistance scheme penalizes large families, while the child benefit would only acknowledge higher need of middle‐income families with three or more children.
Effects of glutamine on growth performance, nutrient content, fatty acid profile, and blood parameters of rainbow trout (Oncorhynchus mykiss)
Authors: Öz Mustafa , Inanan Burak Evren , Karasahin Tahir , Dikel Suat 
Published: January 2024

AbstractIn this study, different amounts of glutamine were added to the diet of rainbow trout, and they were then fed for a period of 90 days. The current research investigated the effects of glutamine on various aspects of rainbow trout, including growth performance, condition factor, viscerosomatic index, hepatosomatic index, carcass composition, fatty acid profile, hematological parameters, and biochemical parameters. The study's findings revealed that adding glutamine to the diet of rainbow trout had a beneficial impact on their growth features. The rainbow trout group that was fed a 2% concentration of glutamine experienced the most notable increase in growth rate. A statistically significant difference in growth was observed among all groups (p < 0.05). Adding glutamine to the diet increased the amount of protein and decreased the fat content in the flesh of the fish. Glutamine exerted an influence on the blood and biochemistry parameters of fish, as well as their fatty acid composition. In conclusion, the inclusion of glutamine in the diet of fish could potentially enhance their immune system, improve the quality of their muscles, and enhance their growth performance.
The stigma of intellectual disability in Spain: a nationally representative survey
Authors: Zamorano S. , Santos‐Olmo A. B. , Sánchez‐Iglesias I. , Muñoz‐Lara I. , Muñoz M. 
Published: January 2024

AbstractBackgroundStigma towards people with intellectual disability affects various aspects of their lives, including access to employment, housing, health and social care services. Furthermore, this stigma reduces their social opportunities and is even reflected in laws that diminish their autonomy. Due to the practical significance of this issue, the aim of this research is to explore for the first time the social stigma associated with intellectual disability in a representative sample of the Spanish population.MethodA cross‐sectional quantitative descriptive study was conducted, involving a representative sample of the population (N = 2746). The study includes descriptive analyses and hierarchical regressions to examine various dimensions of stigma, such as attitudes, attributions, and intentions of social distance.ResultsMedium levels of stigma are found regarding attitudes and attributions towards people with intellectual disability, while levels are medium‐low concerning the intention of social distance. The most reliable indicators of stigma across its various dimensions encompass attitudes, attributions, and the intention of social distance. Factors that contribute to lower stigma include knowing someone with an intellectual disability, being willing to discuss intellectual disability with an acquaintance who has it and having a progressive political ideology. People with intellectual disability show more negative attributions towards themselves. Living with a person with an intellectual disability is another predictor of more stigmatising attitudes, but less intention of social distance. Results are mixed regarding age, gender, and educational level.ConclusionCombating the stigmatisation of people with intellectual disabilities must include comprehensive actions to address attitudes, attributions and behavioural intentions. Public policies, such as national campaigns and programmes, should include contact with and open conversations about intellectual disability, and sensitivity to sociodemographic variables.