bluuebunny/crossref_metadata_2025_split huggingface dataset:
Family firm performance: the effects of organizational culture and organizational social capital
Authors: Stasa Ouzký Michele , Machek Ondřej 
Published: August 2023

PurposeThe goal of this paper is to examine the mediating role of organizational social capital between family firms' organizational culture, characterized by their group vs individual orientation and external vs internal orientation, and their performance.Design/methodology/approachA structural equation model is developed and tested in a sample of 176 US family firms recruited through Prolific Academic.FindingsThe authors show that group vs individual cultural orientation fosters bonding social capital, while external vs internal cultural orientation fosters bridging social capital. In turn, family firm performance is only enhanced by bridging social capital, not bonding social capital, which appears to have neutral to negative direct performance effects. Nevertheless, it is noteworthy that bonding social capital facilitates the establishment of bridging ties, leading to overall positive performance outcomes.Originality/valueThe understanding of how organizational culture influences family business heterogeneity and performance, along with the clarification of how bonding social capital fosters or hinders performance, provides novel insights for researchers and practitioners seeking to understand the complexities within the unique context of family businesses.
The blockbuster blueprint: towards a stakeholder theory-based marketing framework
Authors: Patil Vijaya , Lim Weng Marc , Date Hema , Donthu Naveen , Kumar Satish 
Published: August 2023

PurposeThis study aims to examine the intricate relationships in the making of a box office through a stakeholder lens that considers the influence of filmmakers and theatres on moviegoers' intention to watch a movie at the theatre.Design/methodology/approachEmploying covariance-based structural equation modelling (CB-SEM), this study analyses survey data on cinema-going experience collected from 673 moviegoers in digital era of a new normal.FindingsThe findings elucidate that movie branding, movie genre and theatre preference positively influence moviegoers' intention to watch a movie at the theatre. Furthermore, the study unveils that theatre preference is swayed by an array of personal and social factors, including control belief and social companion. Intriguingly, promotional elements, both commercial and non-commercial, were found to influence movie branding, yet not the genre when predicting theatre attendance intentions.Research limitations/implicationsAmid the burgeoning alternatives for watching movies (e.g. cable television and online streaming platforms), this article offers a contemporary exploration of the variables that motivate audiences to partake in the cinema-going experience, thereby serving as a proxy to decipher the factors that drive a movie's box-office success in digital era.Originality/valueUnlike prior studies relying on archival data, the present study collects and uses survey data to develop a novel stakeholder theory-based marketing framework for the box office and moviegoers. The study also provides seminal insights on the box office and moviegoers in the digital era of a new normal.
Reliability analysis of time-dependent problems based on ensemble learning of surrogate models
Authors: Zhou Chunping , Wei Zheng , Lei Huajin , Ma Fangyun , Li Wei 
Published: August 2023

PurposeSurrogate models are extensively used to substitute real models which are expensive to evaluate in the time-dependent reliability analysis. Normally, different surrogate models have different scopes of application. However, information is often insufficient for analysts to select the most appropriate surrogate model for a specific application. Thus, the result precited by individual surrogate model tends to be suboptimal or even inaccurate. Ensemble model can effectively deal with the above concern. This work aims to study the application of ensemble model for reliability analysis of time-independent problems.Design/methodology/approachIn this work, a method of reliability analysis for time-dependent problems based on ensemble learning of surrogate models is developed. The ensemble of surrogate models includes Kriging, radial basis function, and support vector machine. The prediction is approximated by the weighted average model. The ensemble learning of surrogate models is updated by finding and adding the sample points with large prediction errors throughout the entire procedure.FindingsThe effectiveness of the proposed method is verified by several examples. The results show that the ensemble of surrogate models can effectively propagate the uncertainty of time-varying problems, and evaluate the reliability with high prediction accuracy and computational efficiency.Originality/valueThis work proposes an adaptive learning framework for the uncertainty propagation of time-dependent problems based on the ensemble of surrogate models. Compared with individual surrogate models, the ensemble model not only saves the effort of selecting an appropriate surrogate model especially when the knowledge of unknown problem is lacking, but also improves the prediction accuracy and computational efficiency.
An efficient genetic algorithm for multi AGV scheduling problem about intelligent warehouse
Authors: Cheng Wenlong , Meng Wenjun 
Published: August 2023

Purpose
This study aims to address the challenge of automatic guided vehicle (AGV) scheduling for parcel storage and retrieval in an intelligent warehouse.

Design/methodology/approach
This study presents a scheduling solution that aims to minimize the maximum completion time for the AGV scheduling problem in an intelligent warehouse. First, a mixed-integer linear programming model is established, followed by the proposal of a novel genetic algorithm to solve the scheduling problem of multiple AGVs. The improved algorithm includes operations such as the initial population optimization of picking up goods based on the principle of the nearest distance, adaptive crossover operation evolving with iteration, mutation operation of equivalent exchange and an algorithm restart strategy to expand search ability and avoid falling into a local optimal solution. Moreover, the routing rules of AGV are described.

Findings
By conducting a series of comparative experiments based on the actual package flow situation of an intelligent warehouse, the results demonstrate that the proposed genetic algorithm in this study outperforms existing algorithms, and can produce better solutions for the AGV scheduling problem.

Originality/value
This paper optimizes the different iterative steps of the genetic algorithm and designs an improved genetic algorithm, which is more suitable for solving the AGV scheduling problem in the warehouse. In addition, a path collision avoidance strategy that matches the algorithm is proposed, making this research more applicable to real-world scheduling environments.
Application of variational mode decomposition–based Hilbert marginal differential cepstrum for hydrocarbon detection
Authors: Xue Ya‐juan , Wang Xing‐jian , Liu Zhe‐ge , Wen Wu , Yang Jia , Li Dong‐fang , Zhang Xiao‐Xia 
Published: August 2023

AbstractThe possibilities offered by the use of variational mode decomposition–based Hilbert marginal spectrum and the differential cepstrum for gas‐bearing detection are studied in this paper. We propose a novel variational mode decomposition–based Hilbert marginal differential cepstrum for hydrocarbon detection. Variational mode decomposition–based Hilbert marginal spectrum is first computed. Then discrete cosine transform is carried out to the differential logarithmic variational mode decomposition–based Hilbert marginal spectrum to obtain the variational mode decomposition–based Hilbert marginal differential cepstrum. For hydrocarbon detection, the seismic amplitude anomaly section is generated by extracting the first and second common quefrency sections. Compared with the traditional Fourier‐based cepstrum, the wavelet‐based cepstrum and the Berthil cepstrum, it has the ability to effectively reveal more detailed frequency‐dependent amplitude anomalies with high accuracy and resolution. Model tests and field data applications from a carbonate reservoir in China show that the variational mode decomposition‐based Hilbert marginal differential cepstrum can provide a better gas‐prone interpretation. The proposed method can be a complementary approach to current cepstrum‐based hydrocarbon detection methods and the spectrum decomposition methods.
Preliminary feasibility and effectiveness of a novel community language intervention for preschool children in the United Kingdom
Authors: Botting Nicola , Spicer‐Cain Helen , Buckley Bernadine , Mercado Elizabeth , Sharif Khadija , Wood Liz , Flynn Jane , Reeves Louisa 
Published: August 2023

AbstractBackgroundVery young children from lower socioeconomic status (SES) backgrounds often show poorer language development. Whilst there have been attempts to provide early intervention programmes, these sometimes miss the most disadvantaged groups.AimsThis report presents preliminary feasibility and effectiveness data for a novel language intervention designed for parents of toddlers in the United Kingdom.Methods and ProceduresIn total, 43 UK families of 2–4‐year‐olds were recruited to the study, half of whom completed an 8‐week course (Tots Talking) focussed on parent interaction, and half of whom acted as wait‐list controls.Results and OutcomesResults suggest that such programmes are feasible for families with 86% staying in the intervention. In addition, greater changes in underlying communication skills such as joint attention and gesture were evident compared to wait‐list controls.Conclusions and ImplicationsWe conclude that pre‐verbal skills may be more important to measure as initial outcomes than language or vocabulary change in this population.What This Paper AddsWhat is already known on the subjectChildren from lower socioeconomic status (SES) backgrounds are at higher risk of communication difficulties and there is a need for community intervention programmes for very young children.What this study addsThis study suggests that such programmes can be feasible and effective, but that very early/basic communicative skills (such as joint attention) may be boosted first rather than language or vocabulary.What are the clinical implications of this work?Children's centres and other community services could feasibly run short parent facing courses emphasising contingent communication in low SES families and other diverse groups. These may be more successful run with younger preschoolers. Joint attention may be a better focus of intervention before expecting vocabulary or language change. Community health professionals may find this information useful in referring and supporting families in need.
Independence is not Going Away: The Importance of Education and Birth Cohorts
Authors: Paterson Lindsay 
Published: August 2023

AbstractSupport for Scottish independence has remained stable since the change in the leadership of the Scottish National Party in March 2023, despite the fall in support for the party. The article analyses the sociological basis of independence support since 1979, using data from the Scottish Social Attitudes Survey and recent opinion polls. The recent stability reflects three main changes: the pronounced growth in support among people born since the 1970s; the growth of education in these same cohorts; and the shift to the left of the independence campaign. These long‐term trends suggest that the level of support for independence, and of opposition to it, are unlikely to be affected strongly or permanently by the transient fortunes of the SNP.
Exploring Food Consumption Trends on Twitter with Social Media Analytics: The Example of #Veganuary
Authors: Drescher Larissa S. , Grebitus Carola , Roosen Jutta 
Published: August 2023

SummaryUsing the example of the hashtag #veganuary, a neologism of vegan and January, on Twitter with over 52,000 tweets from 2022, this article shows how Social Media Analytics can provide valuable insights into timing, volume and sentiment within any emerging (consumer) trend. Social Media Analytics is increasingly being used for the analysis of Social Media data. Whether consumers, politicians or entrepreneurs, all stakeholders in the food value chain are present on Social Media and talk about various trends in food and agriculture. In the form of an overview article, this contribution uses the example of the Vegan Challenge to demonstrate how a combination of the manifold methods of Social Media Analytics can provide extensive insights into the public discourse on food topics. It shows that #veganuary communication on Twitter has a predominantly positive connotation in the discussion of all stakeholders involved. The Vegan Challenge can also be categorised as a strong marketing campaign with a competitive character. #veganuary is commonly discussed on Twitter in tweets related to topics, such as veganism and the climate crisis. We argue that Social Media Analytics usefully extends classical analytical tools of consumer research on emerging and spreading food trends, and offers opportunities for many research studies.
Early weight gain after diagnosis may have an impact on remission status in children with new‐onset type 1 diabetes mellitus
Authors: Emet Dicle Canoruc , Karavar Hande Nur , Gozmen Onur , Agyar Arife Aslan , Ünsal Yağmur , Canturk Merve , Cengiz Pınar , Vuralli Dogus , Ozon Z. Alev , Gonc E. Nazlı 
Published: August 2023

AbstractBackgroundResidual beta‐cell function and improvement in insulin sensitivity by reversal of glucose toxicity are two phenomena thought to be related to partial remission (PR). Body fat mass is the major determinant of insulin sensitivity. The aim of this study is to investigate the relationship between the rate of body weight gain after diagnosis of type 1 diabetes mellitus (T1DM) and other clinical factors for the development and duration of PR.MethodsChildren (2–16 years) with new‐onset T1DM (n = 99) were grouped into remitters and non‐remitters by using insulin dose‐adjusted glycosylated hemoglobin (HbA1c) values. Laboratory and clinical data as well as daily insulin requirement per kilogram of body weight at diagnosis and each visit were recorded, and the duration of PR was determined. Changes in body mass index standard deviation score (BMI‐SDS) were calculated by the auxological data collected every 6 months.ResultsThere were 47 remitters (47.5%) and 52 (52.5%) non‐remitters. The mean increase in BMI‐SDS at the first 6 months of diagnosis was higher in the non‐remitters than in the remitters (p = 0.04). Duration of PR was negatively correlated with the change in BMI‐SDS between 6 and 12 months after diagnosis. Male sex, younger age, prepubertal status, and lower HbA1c were predictors of remission, among which male sex had the highest chance by multivariate regression.ConclusionsEarly rapid weight gain after diagnosis of T1DM may play a role in the lack of remission and shorter duration of PR. Interventions to prevent early rapid weight gain can maintain the development and prolongation of remission.
Healthcare utilization of lung cancer patients associated with exposure to fine particulate matter: A Korean cohort study
Authors: Oh In‐Jae , Park Cheol‐Kyu , Min Kyoung‐Bok , Min Jin‐Young , Chung Chaeuk , Yoon Seong‐Hoon , Kim Changsoo , Yang Sei‐Hoon 
Published: August 2023

AbstractBackgroundHigher concentrations of particulate matter (PM) have been shown to cause deterioration of the symptoms of respiratory and cardiovascular disease in several regional studies. Here, we aimed to investigate the healthcare utilization of lung cancer patients associated with short‐term exposure to PM at the national level in Korea.MethodsWe extracted the data of 210 558 subjects over a period of 3 years (2015–2017), who were diagnosed with lung cancer before 2015 and benefited from the National Health Insurance Sharing Service. We performed the interpolation method using the geographic information system to calculate the estimated mean PM2.5 and PM10 concentrations by regions and classified three groups as high (upper 10%), intermediate (10%–90%), and low (bottom 10%) based on the mean PM mass concentrations of the month.ResultsThe monthly average number of outpatient visits was significantly increased in high PM2.5 urban areas (46.296 vs. 50.646, p = 0.015). In high PM2.5 nationwide regions, the monthly average number of emergency admission was significantly increased (0.528 vs. 0.785, p = 0.001). The outpatient visits tended to change with PM2.5 concentration and correlated with PM10/PM2.5 concentrations in urban and nationwide areas. In high PM2.5 urban regions, there was a significant increase in bronchodilator prescriptions (3.102 vs. 3.758, p = 0.008). Concerning high PM2.5 nationwide regions, there were significantly increased prescriptions of antibiotics, steroids, bronchodilators, antihistamines, and mucolytics.ConclusionsThis study suggests that exposure to PM2.5 is significantly associated with hospital utilization and drug prescription in lung cancer patients.
Resting state functional connectivity as a predictor of brief intervention response in adults with alcohol use disorder: A preliminary study
Authors: Syan Sabrina K. , McIntyre‐Wood Carly , Vandehei Emily , Vidal Mae Linda , Hargreaves Tegan , Levitt Emily E. , Scarfe Molly , Marsden Emma , MacKillop Emily , Sarles‐Whittlesey Heidi , Amlung Michael , Sweet Lawrence , MacKillop James 
Published: August 2023

AbstractBackgroundBrief interventions for alcohol use disorder (AUD) are generally efficacious, albeit with variability in response. Resting state functional connectivity (rsFC) may characterize neurobiological indicators that predict the response to brief interventions and is the focus of the current investigation.Materials and MethodsForty‐six individuals with AUD (65.2% female) completed a resting state functional magnetic resonance imaging (fMRI) scan immediately followed by a brief intervention aimed at reducing alcohol consumption. Positive clinical response was defined as a reduction in alcohol consumption by at least one World Health Organization (WHO) risk drinking level at 3‐month follow‐up. rsFC was analyzed using seed‐to‐voxel analysis with seed regions from four networks: salience network, reward network, frontoparietal network, and default mode network.ResultsAt baseline, responders had greater rsFC between the following seed regions in relation to voxel‐based clusters than non‐responders: (i) anterior cingulate cortex (ACC) in relation to left postcentral gyrus and right supramarginal gyrus (salience network); (ii) right posterior parietal cortex in relation to right ventral ACC (salience network); (iii) right interior frontal gyrus (IFG) pars opercularis in relation to right cerebellum and right occipital fusiform gyrus (frontoparietal); and (iv) right primary motor cortex in relation to left thalamus (default mode). Lower rsFC in responders vs. nonresponders was seen between the (i) right rostral prefrontal cortex in relation to left IFG pars triangularis (frontoparietal); (ii) right IFG pars triangularis in relation to right cerebellum (frontoparietal); (iii) right IFG pars triangularis in relation to right frontal eye fields and right angular gyrus (frontoparietal); and (iv) right nucleus accumbens in relation to right orbital frontal cortex and right insula (reward).ConclusionsResting state functional connectivity in the frontoparietal, salience, and reward networks predicts the response to a brief intervention in individuals with AUD and could reflect greater receptivity or motivation for behavior change.
Do buy‐side analysts inform sell‐side analyst research?
Authors: Cici Gjergji , Shane Philip B. , Yang Yanhua Sunny 
Published: August 2023

AbstractThis paper examines whether sell‐side analysts' interactions with buy‐side analysts influence the quality of sell‐side research output. We hypothesise that these interactions offer the sell side a view of the buy side's private information, which enhances the quality of sell‐side research. Our findings show that analyst earnings forecast accuracy improves with these interactions with diminishing returns. Results are robust to alternative proxies for research quality and information flow from buy‐side to sell‐side analysts. Additional tests rule out endogeneity concerns, strengthening the inference that feedback from interactions with buy‐side analysts improves the quality of sell‐side research output.
The use of sodium hypochlorite mixed with etidronic acid during canal preparation increases debris extrusion
Authors: Tartari Talita , Wilchenski Brenda Stefhany , de Souza Lima Luana Arantes , Vivan Rodrigo Ricci , Ballal Vasudev , Duarte Marco Antonio Hungaro 
Published: August 2023

AbstractThe purpose of this study was to compare the impact of different irrigation protocols on debris extrusion. Single‐rooted teeth were distributed into groups based on the irrigation protocols (n = 40): 2.5% NaOCl (biomechanical preparation: 20 mL and final irrigation: 5 mL); 2.5% NaOCl (biomechanical preparation: 20 mL) + 17% EDTA (final irrigation: 2 mL) + 2.5% NaOCl (final irrigation: 3 mL); and a mixture of 5% NaOCl +18% HEDP (biomechanical preparation: 20 mL and final irrigation: 5 mL). The canals were prepared using a reciprocating instrument size 40/0.06. For final irrigation, the groups were reassigned based on the agitation methods (n = 10): (a) no agitation; (b) ultrasonic; (c) sonic; and (d) continuous rotation. The control group (n = 10) received saline solution without agitation. The amount of debris extruded was measured by weight and analysed using One‐way ANOVA (α < 0.05). The subgroups treated with NaOCl + HEDP mixture showed a significantly higher amount of extruded debris (p < 0.05), while there was no difference among agitation methods in all groups (p > 0.05).
Efficacy of secondary intention healing for scalp defects—Case series from a single institution
Authors: Daly Sudipta , Gaspar Zoran , Francis David , Coates Dougal , Pagliaro John 
Published: August 2023

AbstractBackground/ObjectivesAs surgical techniques evolve, there remains underutilisation of secondary intention healing as a valid reconstruction option. This is largely due to concerns regarding inferiority of wound cosmesis, increased downtime with wound healing and infection risk (Dermatol Surg. 2020; 46(12): 1492–97).MethodsWe sought to look at the outcome of secondary intention healing in a cohort of patients seen at a private dermatology practice with small to medium sized scalp defects. All patients completed a satisfaction survey that further evaluated its feasibility.ResultsExcellent cosmetic outcome was noted with secondary intention healing for small to medium scalp defects, specifically in patients with thinning scalps that allowed healing without patchy alopecia.ConclusionsSecondary intention healing should be considered as a reconstructive option for scalp defects, especially in the right patient cohort.