bluuebunny/crossref_metadata_2025_split huggingface dataset:
Winning the election; determining the main reasons for decision to vote in religious country
Authors: Nofrizal  , Aznuriyandi Aznuriyandi , Zulkarnain Zulkarnain , Sucherly Sucherly 
Published: June 2024

Purpose
All presidential and legislative candidates want to be the winner. However, they do not know the determinants of voters' reasons for making choices. This study aims to investigate the role of education level, political party brand reputation, religiosity brand personality and e-WOM on voters' decisions with implications for voters' loyalty.

Design/methodology/approach
The survey method was used to collect data from 1206 respondents who have the right to vote through offline and online using Google forms shared on social media platforms—data analysis using Structural Equation Modeling using the SmartPLS 4.0 program.

Findings
The results showed that Brand Reputation of Politics can encourage brand Religious Personality and e-WOM. Brand Religious Personality is a factor that causes the decision to vote. However, the level of education is not a determining factor for Brand Religious Personality and e-WOM. In addition, brand religious personality, e-WOM and Decision to vote can mediate Brand Reputation of Political loyalty.

Practical implications
The findings from this study can help political parties and candidates develop strategies tailored to voters' needs and increase their chances of winning elections.

Originality/value
The novelty in this study is the development of a model that has never been tested before that uses factor sources from marketing science literacy such as Brand, e-WOM and Loyalty. This study also used moderation variables namely choosing decisions, e-WOM, and religious brand personality. The object of this research was conducted in Indonesia, which is included in the list of developing countries but has never been done in any country. The analysis tool uses the new SEM-PLS version 4.0, so it has a level of novelty and implications that are important for political marketing.
Linking a growth mindset, job crafting and in-role performance via meaningfulness at work: a moderated mediation model
Authors: Oh Jihye , Han Soo Jeoung , Han Seung Hyun 
Published: June 2024

Purpose
Informed by the job characteristics model (JCM) and job crafting theory (JCT), this study aims to investigate the mediating role of meaningfulness at work in the relationship between a growth mindset and in-role performance and moderating role of job crafting in this indirect effect.

Design/methodology/approach
To this end, the authors examined the moderated mediation model with 271 corporate trainers enrolled in the largest online community for adult educators in South Korea.

Findings
Results showed that the relationship between a growth mindset and in-role performance is positively mediated by meaningfulness at work. Furthermore, job crafting acted as a moderator in this relationship, such that trainers with high levels of job crafting showed a greater in-role performance, while trainers with low levels of job crafting reported a negative indirect effect of a growth mindset.

Originality/value
The current study contributes to the JCM and JCT by suggesting a growth mindset as individual characteristics to promote meaningfulness at work and in-role performance. The study also responds to the calls to expand the mediation mechanisms and boundary conditions of a growth mindset in the workplace. The authors provide important insights into how corporate trainers’ job crafting is crucial in enhancing or impeding their performance and meaningful work.
How to dissolve the “privacy paradox” in social networks? A game approach based on privacy calculus
Authors: Zhang Xing , Cai Yongtao , Liu Fangyu , Zhou Fuli 
Published: June 2024

PurposeThis paper aims to propose a solution for dissolving the “privacy paradox” in social networks, and explore the feasibility of adopting a synergistic mechanism of “deep-learning algorithms” and “differential privacy algorithms” to dissolve this issue.Design/methodology/approachTo validate our viewpoint, this study constructs a game model with two algorithms as the core strategies.FindingsThe “deep-learning algorithms” offer a “profit guarantee” to both network users and operators. On the other hand, the “differential privacy algorithms” provide a “security guarantee” to both network users and operators. By combining these two approaches, the synergistic mechanism achieves a balance between “privacy security” and “data value”.Practical implicationsThe findings of this paper suggest that algorithm practitioners should accelerate the innovation of algorithmic mechanisms, network operators should take responsibility for users’ privacy protection, and users should develop a correct understanding of privacy. This will provide a feasible approach to achieve the balance between “privacy security” and “data value”.Originality/valueThese findings offer some insights into users’ privacy protection and personal data sharing.
Empowering rural women in digital spaces
Authors: Oyelude Adetoun A. 
Published: June 2024

Purpose
This paper aims to present a review of rural women and their activities in using digital spaces, especially libraries and resource centers from the internet and cyberspace in the past few months.

Design/methodology/approach
Literature is reviewed on women and rural libraries and the way they are opportune to use the facilities. The advantages they get from digital spaces and how it empowers them are highlighted.

Findings
Rural women use digital spaces for their further education and that of their children as well. The benefits derived from digital spaces make it imperative for provisions to be made for them in the rural areas.

Originality/value
The importance of women’s activities and their economic and socioeconomic empowerment is emphasized among others as well as the role of libraries and the success stories therewith.
Effects of the 2014 European reform on audit activity, the audit outcome and the audit market: the auditors’ view
Authors: Castillo-Merino David , Garcia-Blandon Josep , Rodríguez-Pérez Gonzalo 
Published: June 2024

Purpose
This paper aims to examine the effects of the 2014 European regulatory reform on auditors’ activity, the audit outcome and the audit market, with a focus on the Spanish market.

Design/methodology/approach
The research is based on in-depth, semistructured interviews with partners of the main audit firms operating in the Spanish market. This qualitative approach provides a precise identification of the cause-effect relationships of the new measures introduced by the European audit regulation.

Findings
The findings indicate that, based on auditors’ opinions, the costs of the main regulatory changes outweigh the benefits. The European Union (EU) Audit Regulation imposes more demanding provisions, such as an extended auditor’s report, mandatory audit firm rotation, more banned nonaudit services and stricter quality controls, resulting in substantial side effects on audit activity and the audit market. This could undermine the objective of enhancing the quality of audit services.

Originality/value
To the best of the authors’ knowledge, this is the first study to analyze the effect of the 2014 EU regulatory reform on audit activity, audit market and audit outcome based on auditors’ perceptions. The findings may be of interest to academics, professionals and regulators alike, as they offer valuable insights for assessing the effectiveness of the new audit provisions. Additionally, the qualitative methodology used facilitates a causal analysis of the key elements introduced by the regulations, potentially paving the way for future research avenues.
Efficient aerodynamic optimization of turbine blade profiles: an integrated approach with novel HDSPSO algorithm
Authors: Yan Cheng , Kang Enzi , Liu Haonan , Li Han , Zeng Nianyin , You Yancheng 
Published: June 2024

PurposeThis paper delves into the aerodynamic optimization of a single-stage axial turbine employed in aero-engines.Design/methodology/approachAn efficient integrated design optimization approach tailored for turbine blade profiles is proposed. The approach combines a novel hierarchical dynamic switching PSO (HDSPSO) algorithm with a parametric modeling technique of turbine blades and high-fidelity Computational Fluid Dynamics (CFD) simulation analysis. The proposed HDSPSO algorithm introduces significant enhancements to the original PSO in three pivotal aspects: adaptive acceleration coefficients, distance-based dynamic neighborhood, and a switchable learning mechanism. The core idea behind these improvements is to incorporate the evolutionary state, strengthen interactions within the swarm, enrich update strategies for particles, and effectively prevent premature convergence while enhancing global search capability.FindingsMathematical experiments are conducted to compare the performance of HDSPSO with three other representative PSO variants. The results demonstrate that HDSPSO is a competitive intelligent algorithm with significant global search capabilities and rapid convergence speed. Subsequently, the HDSPSO-based integrated design optimization approach is applied to optimize the turbine blade profiles. The optimized turbine blades have a more uniform thickness distribution, an enhanced loading distribution, and a better flow condition. Importantly, these optimizations lead to a remarkable improvement in aerodynamic performance under both design and non-design working conditions.Originality/valueThese findings highlight the effectiveness and advancement of the HDSPSO-based integrated design optimization approach for turbine blade profiles in enhancing the overall aerodynamic performance. Furthermore, it confirms the great prospects of the innovative HDSPSO algorithm in tackling challenging tasks in practical engineering applications.
Corporate hypocrisy in the context of corporate social responsibility: a literature review
Authors: Pacheco-Ortiz Diana , Escobar-Sierra Manuela , Suárez-Monsalve Ana-María 
Published: June 2024

Purpose
Corporate social responsibility (CSR) is going through a critical period that challenges its capacity to respond to social and environmental crises, which could be associated with the growing Corporate Hypocrisy (CH) phenomenon. This study aims to identify the theoretical perspectives of the scientific literature on CH as a contemporary phenomenon concerning CSR.

Design/methodology/approach
We adopted a sequential mixed-method approach in this study. First, we conducted a bibliometric analysis of the publications on the Web of Science database. Subsequently, we performed a content analysis of CH with CSR.

Findings
The literature review revealed two main research paths: the first deals with the perceptions of hypocrisy; the second relates to the company’s responsibility for disclosure. In addition, we found that researchers use different expressions to refer to the gap between discourse and action in organisations. Some authors suggest subtle differences between these terms, while others use them interchangeably. The causes of this phenomenon vary according to the facets of hypocrisy and the negative implications for the reputation and credibility of companies.

Originality/value
This study contributes to understanding the dissociation between CSR statements and practices. To this end, it combines and collates the literature on a phenomenon studied from different sides using numerous designations.
Seismic migration of water‐bottom‐related multiples accelerated by random phase‐encoding strategy
Authors: Zhang Yanbao , Hu Feng , Hu Yanzhi 
Published: June 2024

AbstractMarine seismic multiples contain more structure information than primaries and should be considered in migrations. However, multiple migrations suffer from severe crosstalks generated by interferences among undesirable multiples. It has been proven that the water‐bottom‐related multiple migration can suppress crosstalks greatly. However, if all associated consecutive‐order multiples are considered, the computation cost is extremely high. To settle this issue, a phase‐encoding‐based multiple migration is proposed. Supergathers are first created by randomly phase‐encoding consecutive‐order multiples and stacking‐encoded multiples. By migrating supergathers, the proposed method can fulfil migrations of all order multiples simultaneously, thereby reducing the computation cost significantly. We use a three‐layer model and the Pluto 1.5 model for numerical comparisons. The results reveal that the method can retrieve high‐quality images and increase computation efficiency considerably.
Stability, resilience and eco‐evolutionary feedbacks of mutualistic networks to rising temperature
Authors: Baruah Gaurav , Lakämper Tim 
Published: June 2024

Abstract

Ecological networks comprising of mutualistic interactions can suddenly transition to undesirable states, such as collapse, due to small changes in environmental conditions such as a rise in local environmental temperature. However, little is known about the capacity of such interaction networks to adapt to a rise in temperature and the occurrence of critical transitions.

Here, combining quantitative genetics and mutualistic dynamics in an eco‐evolutionary framework, we evaluated the stability and resilience of mutualistic networks to critical transitions as environmental temperature increases. Specifically, we modelled the dynamics of an optimum trait that determined the tolerance of species to local environmental temperature as well as to species interaction. We then evaluated the impact of individual trait variation and evolutionary dynamics on the stability of feasible equilibria, the occurrence of threshold temperatures at which community collapses, and the abruptness of such community collapses.

We found that mutualistic network architecture, that is the size of the community and the arrangement of species interactions, interacted with evolutionary dynamics to impact the onset of network collapses. Some networks had more capacity to track the rise in temperatures than others and thereby increased the threshold temperature at which the networks collapsed.

However, such a result was modulated by the amount of heritable trait variation species exhibited, with high trait variation in the mean optimum phenotypic trait increasing the environmental temperature at which networks collapsed. Furthermore, trait variation not only increased the onset of temperatures at which networks collapsed but also increased the local stability of feasible equilibria.

Our study argued that mutualistic network architecture interacts with species evolutionary dynamics and increases the capacity of networks to adapt to changes in temperature and thereby delayed the occurrence of community collapses.
Efficiency of local public spending in Cameroon: Does population size matter?
Authors: Ongo Nkoa Bruno Emmanuel , Wangbara Djondandi , Tchoffo Tameko Gautier 
Published: June 2024

AbstractPromoting decentralization is currently high on the global agenda. To date, the existing literature in the African context, and more specifically in Cameroon, has not established a link between the size of local authorities and the efficiency of their infrastructure spending. This study therefore attempts to fill this gap in the literature by empirically examining the effect of population size on the efficiency of local public spending in Cameroon. Using the two‐stage Data Envelopment Analysis model on a sample of 100 communes for the period 2017–2020 to estimate composite efficiency scores and the censored Tobit model to determine the effect of population size on the efficiency of local public spending, the results show that population size and density positively and very significantly affect the efficiency of local public spending. In light of these results, we recommend that the state make population size the main allocation key for transfers and subsidies to local authorities and that communes organize themselves into inter‐municipalities to benefit from economies of scale and curb spillover effects.
Fossil and modern penguin tarsometatarsi: cavities, vascularity, and resilience
Authors: JADWISZCZAK Piotr , KRÜGER Ashley , MÖRS Thomas 
Published: June 2024

AbstractPenguin tarsometatarsi are shortened and flattened, and studies devoted to the internal characteristics of these composite bones are very limited. Therefore, we present here a comprehensive, x‐ray‐microscopy‐based analysis based on tarsometatarsi of Eocene stem Sphenisciformes from Seymour Island (Antarctic Peninsula) as well as recent Aptenodytes forsteri, A. patagonicus, and Pygoscelis adeliae penguins. Our study focuses on four aspects: size variability of the medullary cavities, vascularization patterns with emphasis on diaphyseal vessels, cross‐sectional anisotropy, and diaphyseal resistance to bending forces. Small‐sized Eocene penguins (Delphinornis and Marambiornopsis) show well‐developed tarsometatarsal medullary cavities, whereas the cavities of “giant” early Sphenisciformes are either smaller (Palaeeudyptes) or show a conspicuous intermetatarsal size gradient (Anthropornis). Extant penguins exhibit a decrease in cavity dimensions as their body size increases. Distributional tendencies of primary diaphyseal nutrient foramina are quite similar in the smaller Delphinornis, Marambiornopsis, and extant Pygoscelis on one side and in Palaeeudyptes and extant Aptenodytes on the other. Anthropornis shows a unique, plesiomorphic pattern with a prevalence of plantar blood supply to the metatarsals. The diaphyseal nutrient canals diverge in orientation, some obliquely away from the proximal part, others with disparate trajectories. Cross‐sectional anisotropy along the tarsometatarsal shaft generally appears to be rather low. Clustering of coherency curves along certain tarsometatarsal segments may reflect a selection process that exerts a significant influence within biomechanically crucial sections. Diaphyseal resistance to mediolateral bending forces is explicitly more efficient in extant penguins than in Eocene Sphenisciformes. This can be interpreted as an adaptation to the waddling gait of extant penguins.
Microwave‐assisted extraction of mucilage from juá: Characterization and antioxidant activity
Authors: Fernandes Flávio Gomes , Silva Ricácia de Sousa , Oliveira Priscila Mayara de Lima , Petkowicz Carmen Lucia de Oliveira , Borges Graciele da Silva Campelo 
Published: June 2024

AbstractMicrowave‐assisted extraction of mucilage from juá was investigated using response surface methodology. The optimal conditions for extraction were a power of 300 W, an extraction time of 240 s, a pH of 8.0, and a water/sample ratio of 1/6, which achieved a 26.43% yield. The monosaccharide composition and antioxidant activity of the mucilage from juá fruits from different regions of Caatinga were investigated. The fruits from Agreste Paraibano showed the highest mucilage extraction yield (18.64%) compared to that of fruits from Mata Paraibana (MP) (12.37%), Borborema (BB) (11.47%), and Sertão Paraibano (8.31%) (p < 0.05). Glucose (32.8%–50.8%) and arabinose (19.3%–32.9%) were the main monosaccharides found in juá mucilage. The mucilage from fruits in the MP presented the highest antioxidant activity in the 2,2‐diphenyl‐1‐picrylhydrazyl and oxygen radical absorbance capacity assays. Our results demonstrated the potential for the future exploration and application of juá mucilage in the food industry.Practical ApplicationJuá (Ziziphus joazeiro Mart.) mucilage contains phenolic compounds and antioxidant activity, and its extraction by MAE is efficient, as it contributed to a higher yield.
Impact of pre‐ and post‐fermentation fining with polyvinylpolypyrrolidone on the chemical stability and aromatic profile of Viognier wine
Authors: Van Buiten Charlene B. , Elias Ryan J. 
Published: June 2024

AbstractPolyvinylpolypyrrolidone (PVPP) is a synthetic, insoluble polymer that can be added to white wines to improve the chemical stability of the final product by precipitating unstable low molecular weight phenolic compounds responsible for visual defects and undesirable flavor characteristics (e.g., excessive bitterness and/or astringency). The objective of this study was to characterize the effects of PVPP on the quality characteristics of Viognier wine when added pre‐ or post‐fermentation as compared to an untreated control wine. Both PVPP‐treated wines contained significantly lower concentrations of monomeric phenolics and browning pigments than the control wine (p ≤ 0.05). The addition of PVPP prior to fermentation conferred protection against oxidation of the wine as measured by acetaldehyde concentration (p ≤ 0.05). Analysis of the volatile aroma profile of each wine by headspace solid phase microextraction gas chromatographymass spectrometry (HS‐SPME‐GC‐MS) revealed that the overarching aroma profiles of the PVPP‐treated wines were significantly different from the control wine, but there was no difference between wines treated with PVPP pre‐fermentation versus those treated post‐fermentation. Specifically, statistically significant differences were observed in 9 of the 22 quantified aroma compounds, including those notably associated with the “stone fruit” aroma of Viognier. A negative correlation was identified between aroma compound concentration removal and the hydrophobicity of each compound, suggesting that the observed differences in aroma may be due to adsorption of aroma compounds by PVPP. The findings from this study present risks and benefits to wine quality upon treatment with PVPP at commercially recommended levels, and provide potentially valuable information for industrial wine producers.
Hindrance to sustainable development: Global inequities, non‐progressive education and inadequate science‐policy dialogue
Authors: Paoli Max 
Published: June 2024

AbstractSocial habits and economies driven by profit are opposing efforts to reach a path of sustainable development. In addition, many communities worldwide have diverged away from nature through consumerism and technology. In the context of the escalating risks and consequences related to global challenges such as the climate crisis and ecosystem degradation, education for sustainable development and science‐driven decision‐making offer tremendous opportunities for improvement.