bluuebunny/crossref_metadata_2025_split huggingface dataset:
PI3Kgamma promotes neutrophil extracellular trap formation by noncanonical pyroptosis in abdominal aortic aneurysm
Authors: Xiong Yacheng , Liu Shuai , Liu Yu , Zhao Jiani , Sun Jinjian , Pan Baihong , Wang Wei 
Published: January 2024

AbstractBackgroundAbdominal aortic aneurysm (AAA) is one of the most life-threatening cardiovascular diseases while currently lacks effective drug treatment. NETs formation has been proved to be crucial trigger of AAA, so finding its upstream regulatory targets is the key to discovering therapeutic agents for AAA.Methods and Resultswe reveal that PI3Kgmma (PI3Kγ) is an upstream signal that regulates NETs formation. Inhibition of PI3Kγ reduces the expression of NETs and reduces inflammation in the aortic wall, thereby significantly ameliorating AAA. However, the mechanism of NETs formation regulated by PI3Kγ has not been fully elucidated. Using isolated bone marrow neutrophils, we show that PI3Kγ deficiency inactivates the noncanonical pyroptosis pathway (Capase11/GSDMD) to inhibit NETs expression, and subsequently found that PI3Kγ regulation of noncanonical pyroptosis via anchoring PKA is dependent on cAMP/PKA signaling, but not on classical PI3K/AKT signaling.ConclusionsOur research uncovers the role and mechanism of PI3Kγ in AAA development and provides insights into AAA therapy from the perspective of NETs formation.
Neighbourhood identity: a methodological perspective from Nantes-France
Authors: Manahasa Edmond , Manahasa Odeta , Leduc Thomas , Halgand Marie-Paule 
Published: January 2024

PurposeThis research aims to develop a method for defining the identity of multilayered neighbourhoods by taking a case study in Nantes/France. It utilizes the urban identity concept to achieve this goal, which is defined by physical and identificatory relation to the neighbourhood.Design/methodology/approachThe methodology includes historical periodical analysis, housing form and architectural stylistic definition, visualization and geographic information system (GIS) mapping. The research conducts spatial analysis to reveal the physical component of the urban identity of the neighbourhood and interviews (No = 50) with dwellers for the identificatory relation, asking about neighbourhood tangible/non-tangible elements. All these data are mapped through GIS.FindingsThe study found that the physical component is defined by three urban layers (identified as industrial, reconstruction and development, and post-industrial) and eleven housing typologies. As for the identificatory relation, the authors found that the interviewees mostly identified with their neighbourhood, whereas a minority did not. The most important form of identification with the neighbourhood was its atmosphere, and as reasons were given, the neighbourhood's positively evaluated quality, good location and social values.Originality/valueIt proposes the definition of the physical component through urban layers and housing typologies. The identificatory relation also considers the identification of the residents with the neighbourhood's tangible/non-tangible urban elements.
Research note – Sensational museums on TikTok: reaching young virtual tourists with short videos
Authors: Lau Pei Mey , Ho Jessica Sze Yin , Pillai Padma 
Published: January 2024

Purpose
This paper aims to examine how museums reach Generation Z virtual tourists using TikTok videos to elucidate the relationship between the video elements and types of engagement by classifying the characteristics of popular themes in the museums’ short videos.

Design/methodology/approach
The format, type and content of TikTok videos published by the seven international museums with the most popular TikTok accounts were analyzed. Thematic analysis included 313 short TikTok videos randomly chosen from those published by the museums between 2020 and 2022. Using descriptive analysis, museum-related TikTok usage and user engagement are presented; regression analysis revealed the most significant themes for audience engagement.

Findings
Museum promotions commonly use several strategies, including incorporating text-based information, captions, hashtags and background music into the video formats. Oral speech/documentary-style videos and combined video genres are less common. The most frequently presented video topics included history, infotainment, informative content and promotional elements. The results identify specific formats (titles and subtitles), types (demonstrations, news/events and TikTok dances/movements) and promotional themes that result in audiences’ virtual engagement in the form of “likes” and “comments” and increase the museums’ TikTok channel followers.

Originality/value
The results demonstrate that short videos on social media platforms encompass various strategies involving different formats, types and themes. Museums can use these strategies to engage virtual tourists. This study also provides valuable suggestions for museums and galleries seeking to leverage short videos as effective marketing mechanisms.
Audit committee quality and cosmetic accounting: an examination in an emerging market
Authors: Daryaei Abbas Ali , Balani Afshin , Fattahi Yasin 
Published: January 2024

Purpose
The literature on the influence of audit committees (AC) and cosmetic accounting (CA) is scarce. AC plays a unique and vital role in boosting earnings reliability in countries with weaker application of accounting standards or weaker legal protection for investors. AC, therefore, are considered to be one of the essential tools available to directors in supervising management decisions regarding financial reporting. This paper aims to examine the influence of AC characteristics (ACC) on CA and how this relationship is moderated by the audit fee.

Design/methodology/approach
This study used probit regression to analyze 1,218 firm-year observations of listed companies in Tehran Stock Exchange from 2014 to 2020.

Findings
The results show that AC financial accounting expertise, AC independence, female AC membership and AC tenure were negatively related to CA. The negative relationship is highly pronounced when a firm incurs higher audit fees, and audit fees moderate the relationship between ACC and CA. Results for the robustness checks show that only AC independence was significant, and the results of other characteristics were not significant.

Research limitations/implications
This research was conducted in an Iranian setting where the formation of ACs is on the verge of regulation; therefore, the data used for the study only contains the seven-year period of ACs’ statutory activity. In addition, a lack of consensus on the precise measures of an AC’s effectiveness could be considered as a restrictive factor.

Originality/value
The findings provide an initial insight into the effect AC on CA and moderating effect of audit fee on the relationship between ACC and CA.
An ethical norm of long-term human survival with universal dignity
Authors: McNerney Gerald 
Published: January 2024

Purpose
The purpose of this study is to create an ethical norm that will help guide the human race toward long-term survival.

Design/methodology/approach
The project posits a new societal ethical norm designed around a fundamental principle: the long-term survival of the human race with individual dignity. This study examines the requirements of the new norm and what is needed to achieve that goal.

Findings
There are three types of organizations that have the organizational and economic capacity to be responsible for future outcomes: governments, religions and corporations. These three types of organizations must act as if they have a moral compass that will compel them to develop and uphold the requirements for the survival of humanity with individual dignity.

Research limitations/implications
The analysis shows that a new, broader ethical norm must be established, and this norm implies that large organizations must act with a future embracing ethical behavior.

Practical implications
This study generates specific pathways for example: governments should adopt the just war principles and prohibitions on governments or other institutions from teaching any form of class superiority. These and other pathways are designed to diffuse threats to the fundamental principle.

Social implications
The fundamental principle includes universal human dignity. This means that the notion of individual dignity must be defined or understood, and the requirements to attain this goal must be identified.

Originality/value
This project takes concepts from long-termism, forward-looking collective responsibility, corporate social responsibility and the global catastrophic risk institute to advocate for a new ethical norm.
Scaling and modeling of the heat transfer across the free surface of a thermocapillary liquid bridge
Authors: Romanò Francesco , Stojanović Mario , Kuhlmann Hendrik C. 
Published: January 2024

Purpose
This paper aims to derive a reduced-order model for the heat transfer across the interface between a millimetric thermocapillary liquid bridge from silicone oil and the surrounding ambient gas.

Design/methodology/approach
Numerical solutions for the two-fluid model are computed covering a wide parametric space, making a total of 2,800 numerical flow simulations. Based on the computed data, a reduced single-fluid model for the liquid phase is devised, in which the heat transfer between the liquid and the gas is modeled by Newton’s heat transfer law, albeit with a space-dependent Biot function Bi(z), instead of a constant Biot number Bi.

Findings
An explicit robust fit of Bi(z) is obtained covering the whole range of parameters considered. The single-fluid model together with the Biot function derived yields very accurate results at much lesser computational cost than the corresponding two-phase fully-coupled simulation required for the two-fluid model.

Practical implications
Using this novel Biot function approach instead of a constant Biot number, the critical Reynolds number can be predicted much more accurately within single-phase linear stability solvers.

Originality/value
The Biot function for thermocapillary liquid bridges is derived from the full multiphase problem by a robust multi-stage fit procedure. The derived Biot function reproduces very well the theoretical boundary layer scalings.
Providing a framework and guidelines for sport organizations to understand and predict sport consumer behavior
Authors: Trail Galen 
Published: January 2024

PurposeThe purpose of this commentary is to discuss a framework (the Revised Model of Sport Consumer Behavior – R-MSCB; Trail, 2019) to accomplish the following objectives. (1) Provide a framework for sport marketers and sport organizations to use in their own market research. (2) Designate the processes needed to generate results and knowledge that sport organizations, sport marketers and associated corporate partners can use to improve marketing campaigns. (3) Provide suggestions for analytic techniques and measurement constructs/instruments that will facilitate market research within the sport industry.Design/methodology/approachThe author created a 140-item questionnaire for the pre-survey and a 50-item questionnaire for the post-survey. The pre-survey was given at the beginning of the season, and the post-survey was given at the end of the season. The research group has generated a sequence of 13 studies and has collected pre-survey responses from over 7,800 people across 4 continents, 8 sports and 13 teams (data collections), with more teams still planned and over 2,000 post-season survey responses with data collection continuing.FindingsThis project, with its 13 studies, will provide sport organizations with the theories/frameworks, knowledge and processes to do their own market research in a more effective and efficient manner and will show sport organizations how to understand the complexities of sport consumer behavior, the motivations behind it and how it varies extensively across individuals. The author will show sports organizations how to collect data from their consumers using valid and reliable measures and constructs that will allow them to segment their consumers, how to effectively market to those segments and how to establish long-lasting relationships that make a satisfied and loyal customer.Originality/valueThis paper provides the framework and guidelines so that sport marketers and researchers can identify specific variables, constructs and relationships that will further their own objectives when attempting to explain sport consumer behavior. Using their own market research, they can implement the results/output in association with the Communications Strategy Model to create more effective and efficient marketing and communications campaigns and consequently drive key performance indicators (KPIs) and improve revenue streams.
Inflation-poverty causal nexus in sub-Saharan African countries: an asymmetric panel causality approach
Authors: Olaniyi Clement Olalekan , Odhiambo Nicholas M. 
Published: January 2024

PurposeThis study examines the roles of cross-sectional dependence, asymmetric structure and country-to-country policy variations in the inflation-poverty reduction causal nexus in selected sub-Saharan African (SSA) countries from 1981 to 2019.Design/methodology/approachTo account for cross-sectional dependence, heterogeneity and policy variations across countries in the inflation-poverty reduction causal nexus, this study uses robust Hatemi-J data decomposition procedures and a battery of second-generation techniques. These techniques include cross-sectional dependency tests, panel unit root tests, slope homogeneity tests and the Dumitrescu-Hurlin panel Granger non-causality approach.FindingsUnlike existing studies, the panel and country-specific findings exhibit several dimensions of asymmetric causality in the inflation-poverty nexus. Positive inflationary shocks Granger-causes poverty reduction through investment and employment opportunities that benefit the impoverished in SSA. These findings align with country-specific analyses of Botswana, Cameroon, Gabon, Mauritania, South Africa and Togo. Also, a decline in poverty causes inflation to increase in the Congo Republic, Madagascar, Nigeria, Senegal and Togo. All panel and country-specific analyses reveal at least one dimension of asymmetric causality or another.Practical implicationsAll stakeholders and policymakers must pay adequate attention to issues of asymmetric structures, nonlinearities and country-to-country policy variations to address country-specific issues and the socioeconomic problems in the probable causal nexus between the high incidence of extreme poverty and double-digit inflation rates in most SSA countries.Originality/valueStudies on the inflation-poverty nexus are not uncommon in economic literature. Most existing studies focus on inflation’s effect on poverty. Existing studies that examine the inflation-poverty causal relationship covertly assume no asymmetric structure and nonlinearity. Also, the issues of cross-sectional dependence and heterogeneity are unexplored in the causal link in existing studies. All panel studies covertly impose homogeneous policies on countries in the causality. This study relaxes this supposition by allowing policies to vary across countries in the panel framework. Thus, this study makes three-dimensional contributions to increasing understanding of the inflation-poverty nexus.
Exploring the influence of gender diversity and women's empowerment on family entrepreneurship performance: the moderating impact of firm characteristic
Authors: Skaf Yahya , El Abiad Zouhour , El Chaarani Hani , El Nemar Sam , Vrontis Demetris 
Published: January 2024

Purpose
This paper aims to examine how gender diversity and women’s empowerment influence the performance of family entrepreneurships and explores the role of firm characteristics as a moderating factor.

Design/methodology/approach
The study used a structured questionnaire as the survey tool to collect data from 91 women managers working in family entrepreneurships, which originated from entrepreneurial initiatives, located in various Lebanese regions. The validity of the construct was assumed using the fitness of extracted index, incremental fit-index, non-normal fit-index, root mean square of residuals and standard root mean square residual. Composite reliability, Cronbach's alpha and value confirmatory factor analysis were used to measure the internal consistency. Data were analyzed using the structural equation modeling method.

Findings
This study reveals that gender equality, education level and family support significantly affect women's empowerment while an insignificant association was found between empowerment and earning social status and achieving financial independence. This paper also showed a significant interaction between women’s empowerment and the performance of family entrepreneurships. Additionally, the results showed that women holding managerial positions in family entrepreneurships is positively associated with firm performance. Finally, it was concluded that the location of the family firm moderates the relationship between gender diversity and firm performance.

Originality/value
This research contributes to theory and practice regarding the role of women in family entrepreneurships and sheds light on gender differences influencing family entrepreneurships and women empowerment issues.
Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics
Authors: Wu Pei-Ju , Tai Yu-Chin 
Published: January 2024

PurposeIn the reduction of food waste and the provision of food to the hungry, food banks play critical roles. However, as they are generally run by charitable organisations that are chronically short of human and other resources, their inbound logistics efforts commonly experience difficulties in two key areas: 1) how to organise stocks of donated food, and 2) how to assess the donated items quality and fitness for purpose. To address both these problems, the authors aimed to develop a novel artificial intelligence (AI)-based approach to food quality and warehousing management in food banks.Design/methodology/approachFor diagnosing the quality of donated food items, the authors designed a convolutional neural network (CNN); and to ascertain how best to arrange such items within food banks' available space, reinforcement learning was used.FindingsTesting of the proposed innovative CNN demonstrated its ability to provide consistent, accurate assessments of the quality of five species of donated fruit. The reinforcement-learning approach, as well as being capable of devising effective storage schemes for donated food, required fewer computational resources that some other approaches that have been proposed.Research limitations/implicationsViewed through the lens of expectation-confirmation theory, which the authors found useful as a framework for research of this kind, the proposed AI-based inbound-logistics techniques exceeded normal expectations and achieved positive disconfirmation.Practical implicationsAs well as enabling machines to learn how inbound logistics are handed by human operators, this pioneering study showed that such machines could achieve excellent performance: i.e., that the consistency provided by AI operations could in future dramatically enhance such logistics' quality, in the specific case of food banks.Originality/valueThis paper’s AI-based inbound-logistics approach differs considerably from others, and was found able to effectively manage both food-quality assessments and food-storage decisions more rapidly than its counterparts.
Knowledge-enhancing HR practices and sustainable competitive advantage: the mediating role of intellectual capital in knowledge-based firms
Authors: Ghlichlee Behrooz , Mohammadkhani Elnaz , Hatami Amir 
Published: January 2024

PurposeThe purpose of this paper is to examine the relationship between knowledge-enhancing HR practices, intellectual capital and sustainable competitive advantage in knowledge-based firms.Design/methodology/approachA quantitative approach was used to conduct the present study. The respondents were sampled from knowledge-based firms in Iran. Overall, 320 managers in 157 firms were selected using convenience sampling. A structural equation model was employed for testing the hypotheses.FindingsThe study confirmed that knowledge-enhancing human resource (HR) practices established a very strong connection with intellectual capital. The results further disclosed a positive relationship between intellectual capital and firms' competitive advantage. A mediated relationship between knowledge-enhancing HR practices and firms' competitive advantage through intellectual capital was also affirmed.Research limitations/implicationsThe study was conducted in knowledge-based firms in Iran, which limits the generalizability of the research findings. Therefore, future studies should be carried out with samples from other contexts. Moreover, as the study was cross-sectional, the causal relationships could not be inferred directly.Practical implicationsThe paper underscored the importance of intellectual capital in improving knowledge-enhancing HR practices and firms' competitive advantage. It suggests to human resource managers to make the organizational arrangements to design knowledge-enhancing HR practices, thereby developing the intellectual capital that brings competitive advantage to knowledge-based firms.Originality/valueThe results of this study contribute to advance research on the intellectual capital literature by trying to explain how intellectual capital as a mediator variable can influence the relationship between knowledge-enhancing HR practices and sustainable competitive advantage.
Prediction of surface roughness using deep learning and data augmentation
Authors: Guo Miaoxian , Wei Shouheng , Han Chentong , Xia Wanliang , Luo Chao , Lin Zhijian 
Published: January 2024

PurposeSurface roughness has a serious impact on the fatigue strength, wear resistance and life of mechanical products. Realizing the evolution of surface quality through theoretical modeling takes a lot of effort. To predict the surface roughness of milling processing, this paper aims to construct a neural network based on deep learning and data augmentation.Design/methodology/approachThis study proposes a method consisting of three steps. Firstly, the machine tool multisource data acquisition platform is established, which combines sensor monitoring with machine tool communication to collect processing signals. Secondly, the feature parameters are extracted to reduce the interference and improve the model generalization ability. Thirdly, for different expectations, the parameters of the deep belief network (DBN) model are optimized by the tent-SSA algorithm to achieve more accurate roughness classification and regression prediction.FindingsThe adaptive synthetic sampling (ADASYN) algorithm can improve the classification prediction accuracy of DBN from 80.67% to 94.23%. After the DBN parameters were optimized by Tent-SSA, the roughness prediction accuracy was significantly improved. For the classification model, the prediction accuracy is improved by 5.77% based on ADASYN optimization. For regression models, different objective functions can be set according to production requirements, such as root-mean-square error (RMSE) or MaxAE, and the error is reduced by more than 40% compared to the original model.Originality/valueA roughness prediction model based on multiple monitoring signals is proposed, which reduces the dependence on the acquisition of environmental variables and enhances the model's applicability. Furthermore, with the ADASYN algorithm, the Tent-SSA intelligent optimization algorithm is introduced to optimize the hyperparameters of the DBN model and improve the optimization performance.