bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving fMRI-based prediction of individual pain ratings by accounting for interindividual variance
Authors: Goltermann Ole , Büchel Christian 
Published: July 2023

AbstractWe challenge the pessimistic conclusion of a recently published paper by Hoeppli et al that fMRI-BOLD measures are useless in predicting interindividual differences in pain perception. By conducting a re-analysis of publicly available data of their study, we propose an alternative analysis approach that addresses the issue of interindividual variance differences in BOLD readouts, aiming to enhance the predictive power of fMRI-based measures. Instead of using absolute values of both, pain ratings and BOLD measures, we make use of robust intraindividual differences between the two experimental conditions in their study. Our findings demonstrate a statistically significant positive linear relationship between the neurologic pain signature (NPS) score, a multivariate pain classifier based on BOLD fMRI, and individual differences in perceived pain ratings. This relationship is driven by individuals that report pain sensitivity to both experimental conditions and can clearly distinguish between the two. Our results provide evidence for the potential of fMRI-BOLD measures in predicting interindividual differences in pain perception and allow for a more optimistic conclusion regarding the ongoing debate whether fMRI can be used as an objective measure for pain perception.ARISING FROMHoeppli, M.E., Nahman-Averbuch, H., Hinkle, W.A. et al. Dissociation between individual differences in self-reported pain intensity and underlying fMRI brain activation. Nat Commun 13, 3569 (2022).https://doi.org/10.1038/s41467-022-31039-3
Low- and high-grade glioma endothelial cells differentially regulate tumor growth
Authors: Muthukrishnan Sree Deepthi , Qi Haocheng , Wang David , Elahi Lubayna , Pham Amy , Alvarado Alvaro G. , Li Tie , Gao Fuying , Kawaguchi Riki , Lai Albert , Kornblum Harley I. 
Published: July 2023

AbstractBackgroundA key feature distinguishing high-grade glioma (HGG) from low-grade glioma (LGG) is the extensive neovascularization and endothelial hyperproliferation. Prior work has shown that tumor endothelial cells (TEC) from HGG are molecularly and functionally distinct from normal brain EC and secrete higher levels of pro-tumorigenic factors that promote glioma growth and progression. However, it remains unclear whether TEC from LGG also express pro-tumorigenic factors, and to what extent they functionally contribute to glioma growth.MethodsTranscriptomic profiling was conducted on tumor endothelial cells (TEC) from grade II/III (LGG, IDH-mutant) and grade IV HGG (IDH-wildtype). Functional differences between LGG- and HGG-TEC were evaluated using growth assays, resistance to anti-angiogenic drugs and radiation therapy. Conditioned media and specific factors from LGG- and HGG-TEC were tested on patient-derived gliomasphere lines using growth assaysin vitroand in co-transplantation studiesin vivoin orthotopic xenograft models.ResultsLGG-TEC showed enrichment of extracellular matrix and cell cycle-related gene sets and sensitivity to anti-angiogenic therapy whereas HGG-TEC displayed an increase in immune response-related gene sets and anti-angiogenic resistance. LGG- and HGG-TEC displayed opposing effects on growth and proliferation of IDH-wildtype and mutant tumor cells. Asporin (ASPN), a small leucine rich proteoglycan enriched in LGG-TEC was identified as a growth suppressor of IDH-wildtype GBM by modulating TGFΒ1-GPM6A signaling.ConclusionsOur findings indicate that TEC from LGG and HGG are molecularly and functionally heterogeneous and differentially regulate the growth of IDH-wildtype and mutant tumors.
Bee pollen usage as carrier material in the drying of honey and some properties of honey-bee pollen powders
Authors: Mutlu Ceren 
Published: July 2023

PurposeThe aim of this study was to produce an enriched honey powder with active compounds coming from bee pollen and investigate the effects of bee pollen addition as a carrier material on honey powder.Design/methodology/approachThe effects of bee pollen addition as carrier material in corporation with gum arabic at different ratios (25, 50 and 75% of total carrier material amount) on vacuum-dried honey-bee pollen powder were investigated.FindingsThe bee pollen concentration raise in the mixture increased the particle size, total phenolic, flavonoid and sugar contents and antioxidant activity, whereas decreased the Hauser ratio and Carr index values, hygroscopicity and solubility of enriched honey powder samples. The honey powder samples had passable and poor flow properties and very hygroscopic (>20%) structure because of the high sugar content. The phenolic and flavonoid contents of honey powder samples with bee pollen changed between 1531.59 and 3796.00 mg GAE/kg and 424.05–1203.10 mg QE/kg, respectively, and these values were much higher than the control sample. On the basis of linear correlation analysis, there was a very high positive correlation between total phenolic, flavonoid and antioxidant activity, while there was a very high negative correlation between these parameters and solubility.Originality/valueThe study evaluated that enriching of honey powders with pollen, which is a product of both plant and bee origin, rather than enriching with different plant and animal sources has an innovative approach. Additionally, the usage of bee pollen as a carrier agent in food drying has not been previously reported in any study.
A model for visualizing cost shifts when introducing construction logistics setups
Authors: Thunberg Micael , Fredriksson Anna 
Published: July 2023

PurposeThe purpose of this study is to identify how the responsibilities and costs of planning, controlling and executing the material, resource and waste flows are shifted between actors when introducing a construction logistics setup (CLS) as a product innovation in a construction project, compared to the traditional way of organizing these activities.Design/methodology/approachThis study is an analytical conceptual research study which aims to bring new insights into a problem through logical relationship building. Empirical data are gathered in two cases where CLSs are used, through observations and interviews regarding how the activities within the order-to-delivery process are performed. The results have been discussed at workshops with suppliers, installation companies, contractor firms and trade unions.FindingsThe outcome of this study is a model for illustrating how costs and responsibilities are shifted in the construction project and supply chain when a CLS is introduced. The cost shift is dependent on the activity shift that accompanies the services included in the setup.Practical implicationsThe practical contribution of this work is twofold. First, this study provides a methodology of how to evaluate the impact of logistics services on the actors in the construction project. Second, this study shows shifts in costs and responsibilities in logistics activities with the introduction of construction logistics services.Originality/valueThe theoretical contributions of the model and this study lie in the inclusion of a multi-actor perspective in total cost modelling in supply chains.
Exploring the use of gender-fair language by influencers
Authors: Nicolas Carolina , Urrutia Angelica , González Gonzalo 
Published: July 2023

PurposeExplore the use of Gender-Fair Language (GFL) by influencers on Instagram.Design/methodology/approachThe clustering methodology. A digital Bag-of-Words (BoW) Method called GFL Clustering BoW Methodology to identify whether an inclusive marketing (IM) strategy can be used. Thus, this research has a methodological and practical contribution to increasing the number of marketing technology tools.FindingsThis study is original as it proposes an inclusive digital marketing strategy and contributes with methods associated with digital transfers in order to improve marketing strategies, tactics and operations for inclusive content with a data integrity approach.Research limitations/implicationsDue to the limitations of the application programming interface (API) of the social network Instagram, a limited number of text data were used, which allowed for retrieving the last 12 publications of each studied profile. In addition, it should be considered that this study only includes the Spanish language and is applied to a sample of influencers from Chile.Practical implicationsThe practical contribution of this study will lead to a key finding for the definition of communication strategies in both public and private organizations.Originality/valueThe originality of this work lies in its attractive implications for nonprofit and for-profit organizations, government bodies and private enterprises in the measurement of the success of campaigns with an IM communicational strategy and to incorporate inclusive and non-sexist content for their consumers so as to contribute to society.
A symplectic approach for the fractional heat transfer and thermal damage in 2D biological tissues
Authors: Xu Chenghui , Leng Sen , Li Deen , Yu Yajun 
Published: July 2023

Purpose
This paper aims to focus on the accurate analysis of the fractional heat transfer in a two-dimensional (2D) rectangular monolayer tissue with three different kinds of lateral boundary conditions and the quantitative evaluation of the degree of thermal damage and burn depth.

Design/methodology/approach
A symplectic method is used to analytically solve the fractional heat transfer dual equation in the frequency domain (s-domain). Explicit expressions of the dual vector can be constructed by superposing the symplectic eigensolutions. The solution procedure is rigorously rational without any trial functions. And the accurate predictions of temperature and heat flux in the time domain (t-domain) are derived through numerical inverse Laplace transform.

Findings
Comparison study shows that the maximum relative error is less than 0.16%, which verifies the accuracy and effectiveness of the proposed method. The results indicate that the model and heat source parameters have a significant effect on temperature and thermal damage. The pulse duration (Δt) of the laser heat source can effectively control the time to reach the peak temperature and the peak slope of the thermal damage curve. The burn depth is closely correlated with exposure temperature and duration. And there exists the delayed effect of fractional order on burn depth.

Originality/value
A symplectic approach is presented for the thermal analysis of 2D fractional heat transfer. A unified time-fractional heat transfer model is proposed to describe the anomalous thermal behavior of biological tissue. New findings might provide guidance for temperature prediction and thermal damage assessment of biological tissues during hyperthermia.
Understanding the world heritage sites’ brand diffusion and formation via social media: a mixed-method study
Authors: Wang Zongshui , Liu Wei , Sun Zhuo , Zhao Hong 
Published: July 2023

Purpose
Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and short-term perspectives, which includes brand diffusion, user-generated content (UGC), opinion leaders and brand events’ impact.

Design/methodology/approach
This study uses a mixed-method including text mining, keyword analysis and social network analysis to explore the brand formation process of four popular WHSs in Beijing, namely, the Palace Museum, Great Wall, Summer Palace and Temple of Heaven and more than 10,000,000 users’ data on Sina Weibo has been implemented to uncover the underlying social media branding mechanism.

Findings
The results show that the number of postings keeps in a stable range in most months, but, in general, there are no common rules for changing trends among the four WHSs; long-term high-frequency keywords related to history and culture account for a higher percentage; different kinds of accounts have varying impacts on information diffusion, in which media accounts lead to a bigger influence. However, more followers do not necessarily mean more interactions and most of the interaction ratio is much lower than 0.01000; brand events facilitate brand dissemination and have an impact on the creation of UGC.

Practical implications
This study is valuable for destination marketers to deeper understand brand diffusion and formation and provides valuable insights for developing effective destination marketing strategies.

Originality/value
Unlike previous studies that only concern a few parts of destination brand formation via social media (e.g. brand diffusion, brand events or opinion leaders’ impact), this study takes a more comprehensive perspective by systematically analyzing the brand formation process of WHSs on social media. By considering both long-term diffusion and short-term representative events, this study provides a more holistic understanding of the branding mechanism.
Whiteness as credential: exploring the lived experiences of ethnically diverse UK event professionals through the theory of racialised organisations
Authors: Fletcher Thomas , Dashper Katherine , Albert Bernadette 
Published: July 2023

Purpose
The events sector is an innovative and dynamic working environment that requires a creative and diverse workforce to help it thrive. However, in the main, the events workforce is not diverse, with evidence suggesting that most leaders continue to be White and male. There has been no previous research exploring the experiences of ethnically diverse professionals in this environment. This paper aims to draw on the theory of racialised organisations to begin to address this gap and amplify the voices of ethnically diverse events professionals.

Design/methodology/approach
Qualitative, semi-structured interviews were conducted with 17 ethnically diverse event managers working in the UK events industry.

Findings
Covert and overt forms of racism and discrimination remain ubiquitous within the culture of event organisations, and in a number of guises, ranging from regular racialised microaggressions to more subtle forms of exclusion. The events industry needs to do more than pay lip service to neoliberal notions of diversity and acknowledge the ways in which racial relations of power shape the industry and the experiences of individuals within it, and design interventions to address these issues.

Originality/value
To the best of the authors’ knowledge, this study is the first to apply the theory of racialised organisations to the events industry, recognising the centrality of race and racism to events organisations and careers. In so doing, it offers essential insight into race and ethnicity in this sector and contributes to ongoing efforts to integrate race and racism within theorising in management and organisation studies.
Customer acceptance of humanoid service robots in hotels: moderating effects of service voluntariness and culture
Authors: Said Narjess , Ben Mansour Kaouther , Bahri-Ammari Nedra , Yousaf Anish , Mishra Abhishek 
Published: July 2023

Purpose
This study aims to propose a research model integrating technology acceptance model 3 (TAM3) constructs and human aspects of humanoid service robots (HSRs), measured by the Godspeed questionnaire series and tested across two hotel properties in Japan and the USA.

Design/methodology/approach
Potential participants were approached randomly by email invitation. A final sample size of 395 across two hotels, one in Japan and the other in the USA, was obtained, and the data were analysed using structural equation modelling.

Findings
The results confirm that perceived usefulness, driven by subjective norms and output quality, and perceived ease of use, driven by perceived enjoyment and absence of anxiety, are the immediate direct determinants of users’ re-patronage intentions for HSRs. Results also showed that users prefer anthropomorphism, perceived intelligence and the safety of an HSR for reusing it.

Practical implications
The findings have practical implications for the hospitality industry, suggesting multiple attributes of an HSRs that managers need to consider before deploying them in their properties.

Originality/value
The current study proposes an integrated model determining factors that affect the re-patronage of HSRs in hotels.
Future educational environment – Identification of smart campus topic trends using text mining
Authors: Joshy K.X. , Thakurta Rahul , Sekh Arif Ahmed 
Published: July 2023

PurposeRecent attention to the developments focusing on the educational services has been noteworthy, with the educational environment specifically the smart campus emerging both as a domain and as an opportunity. As a domain worthy of exploration, a number of research efforts are being conceptualized around smart campus initiatives. The existing bouquet of research publications on smart campus provides a testimony of the enthusiasm and also exposes the heterogeneous attempts the domain has witnessed to date. The available evidence is still inadequate to provide clarity on the thrust areas of research around smart campus.Design/methodology/approachGiven the understanding, this study intends to decode the domain to get an early impression of the focus of the research concentration around smart campus. Thereby the study resorts to an automated text-mining approach using Python on contents shortlisted systematically, and published between the period 2010 and May 2022, from select databases.FindingsBased on the analysis it was possible to identify eight themes (i.e. smart campus characteristics, smart campus stakeholders, smart campus frameworks, smart campus technologies, smart campus infrastructure, smart campus evaluation, smart learning environment and smart campus applications) characterizing research efforts within the smart campus literature.Originality/valueThe themes around the smart campus showcase the thrust areas receiving attention. These characterize extant research endeavours in the smart campus domain and can offer useful pointers to researchers going forward. This awareness can also be beneficial to institutional leadership and technology providers intending to implement smart campus initiatives, contributing to the development of the educational environment.
Exploring HR practitioner’s perspective on linking of employer branding and porter’s generic strategies: an alignment of business and HR strategy
Authors: Dixit Aparna Sameer 
Published: July 2023

Purpose
The purpose of this study is to identify the impact of Michel Porter's generic business-level strategies adopted by the organisation on its employer branding strategy. Based on the expert’s opinion and insights, this study aims to determine the extent to which the employer branding strategy, its inherent significance, the requisite investment and the used tactics are influenced by the organisation's business strategy.

Design/methodology/approach
Considering a phenomenological research design, this study adopted semi-structured interviews as a means to gather qualitative data from a purposive sample comprising HR professionals. The collected data were subjected to thematic analysis, enabling the identification of recurring themes and patterns. Findings and conclusions were subsequently derived in accordance with the outcomes of the thematic analysis.

Findings
The study revealed that the significance, nature, challenges and ways of implementation of employer branding strategies vary depending on the type of business strategy adopted by the organisation. While organisations pursuing a differentiation strategy heavily invest in employer branding and placing considerable efforts into developing an appealing employee value proposition, companies pursuing cost leadership invest relatively less in employer branding by implementing cost-effective tactics. Companies implementing a focus strategy demonstrate a moderate level of investment in employer branding initiatives.

Research limitations/implications
The study is limited to IT, manufacturing and banking sectors only. Additionally, the sample of the study is limited.

Practical implications
Employer branding as a strategy has been widely explored in the recent past. Similarly, Michel Porters’ generic strategies have also been widely researched. However, the interconnection between these two levels of strategies presents novel perspectives for business strategists and HR professionals involved in the formulation and implementation of HR strategies. This linkage provides valuable insights that facilitate effective decision-making in relation to employer branding strategies, enabling organisations to prioritise their objectives more effectively.

Originality/value
The existing literature lacks research that investigates the connection between employer branding strategy and business strategy. Hence, this study represents a pioneering effort that aims to explore this unexplored linkage. Further, this research effort has also uncovered previously uninvestigated findings concerning the comparative analysis of employer branding strategies across different sectors while examining the connection between business strategy and employer branding strategy.
Output regeneration defense against membership inference attacks for protecting data privacy
Authors: Ding Yong , Huang Peixiong , Liang Hai , Yuan Fang , Wang Huiyong 
Published: July 2023

Purpose
Recently, deep learning (DL) has been widely applied in various aspects of human endeavors. However, studies have shown that DL models may also be a primary cause of data leakage, which raises new data privacy concerns. Membership inference attacks (MIAs) are prominent threats to user privacy from DL model training data, as attackers investigate whether specific data samples exist in the training data of a target model. Therefore, the aim of this study is to develop a method for defending against MIAs and protecting data privacy.

Design/methodology/approach
One possible solution is to propose an MIA defense method that involves adjusting the model’s output by mapping the output to a distribution with equal probability density. This approach effectively preserves the accuracy of classification predictions while simultaneously preventing attackers from identifying the training data.

Findings
Experiments demonstrate that the proposed defense method is effective in reducing the classification accuracy of MIAs to below 50%. Because MIAs are viewed as a binary classification model, the proposed method effectively prevents privacy leakage and improves data privacy protection.

Research limitations/implications
The method is only designed to defend against MIA in black-box classification models.

Originality/value
The proposed MIA defense method is effective and has a low cost. Therefore, the method enables us to protect data privacy without incurring significant additional expenses.