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The purpose of the study is to explore the three-dimensional heat and mass transport dynamics of the magneto-hydrodynamic non-Newtonian (Casson fluid) hybrid nanofluid flow comprised of − as nanoparticles suspended in base liquid water as it passes through a flexible spinning disc. The influence of a magnetic field, rotation parameter, porosity, Darcy−Forchheimer, Arrhenius’s activation energy, chemical reaction, Schmidt number and nanoparticle shape effects are substantial physical features of the investigation. Furthermore, the influence of hybrid nanofluid on Brownian motion and thermophoresis features has been represented using the Buongiorno model. The novelty of the work is intended to contribute to a better understanding of Casson non-Newtonian fluid boundary layer flow.

The governing mathematical equations that explain the flow and heat and mass transport phenomena for fluid domains include the Navier−Stokes equation, the thermal energy equation and the solutal concentration equations. The governing equations are expressed as partial differential equations, which are then converted into a suitable set of non-linear ordinary differential equations by using the necessary similarity variables. The ordinary differential equations are computed by combining the shooting operation with the three-stage Lobatto BVP4c technique.

Graphs and tables are used in the process of analysing the characteristics of velocity distributions, temperature profiles and solutal curves at varying values of the parameters, along with friction drag, heat transfer rate and Sherwood number. It has been revealed that the radial and axial velocities decrease when the Casson parameter value increases and that the rate of heat transmission is higher in hybrid nanofluids with nanoparticles in the shape of a blade. The increase in Brownian motion and thermophoresis parameters causes a rise in the temperature profile. Also, an increase in the activation energy parameter improves the solutal curve. The use of nanoparticles was shown to improve extrusion properties, the rotary heat process and biofuel generation.

All results are presented graphically and all physical quantities are computed and tabulated. The current results are compared to previous investigations and found to agree significantly with them.

This paper aims to describe the Social Branding framework, which uses lifestyle branding to change behaviour within psychographically-defined target audiences. Syke, a Social Branding programme to reduce cigarette use within the higher-risk alternative teen peer crowd in Virginia, USA, is presented as a case study with evaluation results.

Social Branding first creates an authentic lifestyle brand that appeals to a psychographically-defined audience. Once sociocultural authority is built, the lifestyle brand introduces tailored behavioural messaging using targeted messaging channels, relying on experiential marketing events and in-group influencers to align the desired behaviour with the audience’s social identity and values. The evaluation consisted of annual cross-sectional surveying (2011–2014; n = 2,266) on brand recall, liking, message comprehension and current smoking. Among those with recall, the prevalence of liking/comprehension categories (disliked and did not understand; liked or understood; liked and understood) and of smoking within categories was compared across years using chi-square tests. Multivariate logistic regression explored liking/comprehension as a predictor of smoking.

Recall, liking and comprehension were significantly higher in 2014 than in 2011, as was the proportion who both liked and understood Syke. Those who liked and understood Syke had half the odds of current smoking compared to those who disliked and did not understand it.

Syke reached, was liked by and was understood by the target audience. The Social Branding framework effectively appeals to and reaches higher-risk audiences, with learnings applicable to other behaviours and populations.

This study explores how firms develop innovation ecosystems through forming alliances with suppliers and the effects on innovation, economics and consumer welfare.

This study develops two game theory models to compare supply chain structures with and without ecosystem alignment. (1) A single supplier provides components to two competing manufacturers (one innovative and one non-innovative). (2) An innovative manufacturer (focal firm) aligns with a supplier that also supplies components to a competing manufacturer.

An ecosystem construction strategy that alliances use to reconfigure coopetitive relationships and ecosystem alignment is identified. A manufacturer aligning with a supplier will strengthen the monopoly of the alignment, which is beneficial to both Allies but always harmful to the competitor. Interestingly, such an ecosystem construction strategy may be beneficial to future innovation, the industry and consumers.

The findings raise several topics that warrant further exploration. For example, scenarios with multiple suppliers were not considered. Furthermore, the implementation of regulatory measures to mitigate the harmful effects of alignment on innovation should be investigated.

This paper provides a guide for enterprises seeking alignment and to the corresponding measures required to stimulate innovation within ecosystems. What’s more, the aligned firm should not always attempt to win the race but should instead take measures to encourage the competitor to share demand information.

Firstly, most research on supply chain management has focused on its economic impacts. There is a lack of research on the influence of ecosystem alignment on the innovation incentives of firms. Furthermore, the literature still lacks evidence of how ecosystem construction strategies can increase consumer welfare. In the present study, the authors model a complex market structure that includes a competitor, which is becoming increasingly common in high-tech markets. Thirdly, this paper is one of the few that examines the impacts of market-structure changes on innovation incentives. Most importantly, this study extends the current literature by studying coopetition in the ecosystem context.

Recently, the double joint photographic experts group (JPEG) compression detection tasks have been paid much more attention in the field of Web image forensics. Although there are several useful methods proposed for double JPEG compression detection when the quantization matrices are different in the primary and secondary compression processes, it is still a difficult problem when the quantization matrices are the same. Moreover, those methods for the different or the same quantization matrices are implemented in independent ways. The paper aims to build a new unified framework for detecting the doubly JPEG compression.

First, the Y channel of JPEG images is cut into 8 × 8 nonoverlapping blocks, and two groups of features that characterize the artifacts caused by doubly JPEG compression with the same and the different quantization matrices are extracted on those blocks. Then, the Riemannian manifold learning is applied for dimensionality reduction while preserving the local intrinsic structure of the features. Finally, a deep stack autoencoder network with seven layers is designed to detect the doubly JPEG compression.

Experimental results with different quality factors have shown that the proposed approach performs much better than the state-of-the-art approaches.

To verify the integrity and authenticity of Web images, the research of double JPEG compression detection is increasingly paid more attentions.

This paper aims to propose a unified framework to detect the double JPEG compression in the scenario whether the quantization matrix is different or not, which means this approach can be applied in more practical Web forensics tasks.

The purpose of this paper is to develop parallel algorithms for moving boundary simulations by local remeshing and compose them to a fully parallel simulation cycle for the solution of problems with engineering interests.

The moving boundary problems are solved by unsteady flow computations coupled with six-degrees-of-freedom equations of rigid body motion. Parallel algorithms are developed for both computational fluid dynamics (CFD) solution and grid deformation steps. Meanwhile, a novel approach is developed for the parallelization of the local remeshing step. It inputs a distributed mesh after deformation, then marks low-quality elements to be deleted on the respective processors. After that, a parallel domain decomposition approach is used to repartition the hole mesh and then to redistribute the resulting sub-meshes onto all available processors. Then remesh individual sub-holes in parallel. Finally, the element redistribution is rebalanced.

If the CFD solver is parallelized while the remaining steps are executed in sequential, the performance bottleneck of such a simulation cycle is observed when the simulation of large-scale problem is executed. The developed parallel simulation cycle, in which all of time-consuming steps have been efficiently parallelized, could overcome these bottlenecks, in terms of both memory consumption and computing efficiency.

A fully parallel approach for moving boundary simulations by local remeshing is developed to solve large-scale problems. In the algorithm level, a novel parallel local remeshing algorithm is present. It repartitions distributed hole elements evenly onto all available processors and ensures the generation of a well-shaped inter-hole boundary always. Therefore, the subsequent remeshing step can fix the inter-hole boundary involves no communications.

The spread of drug use has been consistently increasing in Asia, posing a serious public health problem, especially among new addicts. In Thailand, the problem has persisted for decades leading to a consistent decline in the age of drug use initiation, making drug use an important social problem, especially among youngsters. This study aimed to examine the factors related to substance abuse risk behaviors among lower secondary school students.

A cross-sectional survey was conducted using a self-administered questionnaire to collect the data from a sample of 624 students aged 12 through 18 years. Data analysis was performed using descriptive statistics and multiple linear regression to identify factors related to substance use risk behaviors.

Factors associated with drug use risk behavior were access to drugs (0.882; <0.001), which had the highest predictive power, family relationships (−0.555; <0.001), self-esteem (−0.516; <0.001) and awareness about drugs (−0.412; <0.005).

Prevention interventions that incorporate reducing access to drugs, strengthening family ties, boosting adolescents' self-esteem and increasing their awareness about drugs should be tailored to target homes, schools and communities. As the problem appears to be multidimensional, the full participation of all relevant stakeholders such as teachers, parents, religious and community leaders in the intervention programs is as essential as the interventions themselves.

Purpose – The purpose of this chapter is to describe the current situation regarding alcohol use and consumption in relation with sport in France.

Design/methodology/approach – Based on a literature review, the authors describe the particular regulatory French context regarding alcohol sales, publicity and consumption around sport and analyze the relationships between alcohol and sport participation, and sporting events.

Findings – Despite an apparent strict legal frame, exemptions, margins of manoeuvre and non-applications of the law portray the situation as more complex than it appears. As for sport participation, if the myth of ascetic sportsmen and sportswomen is not supported, the use and consumption profiles are not clear-cut depending on numerous factors such as age, gender, socio-economic status, intensity and level of sport participation, club membership and more importantly sport subcultures. However, in many cases, strong links with masculinity, as found in the literature, were observed. As for sporting events, the current situation regarding the bans on alcohol sales and sport sponsorship seems again more complex than the law suggests and appears to be continuously contested by stakeholders with different, but often convergent expectations.

Research limitations/implications – The results demonstrate a need to go deeper than visible and official appearances to properly understand the complex relationships between sport and alcohol in France. Particularly, and considering the lack of specific research and evidence regarding the situation, the current public debates regarding the situation cannot be properly informed and are thus strongly influenced by various stakeholders and lobbies, constituting an unsettled field.

This article identifies hybrid nanofluids and industrial thermal engineering devices as significant sources of solar energy. In this study, various nanoparticles suspended in base fluids such as water (H2O) and carboxymethyl cellulose (CMC), along with nanoparticles like graphene oxide (GO) and molybdenum disulfide (MoS2), are examined. The model also incorporates permeability and the effects of angled magnetic fields to provide a comprehensive analysis.

We have utilized the fractal fractional operator definition, the quickest and most advanced fractional approach, to address the problems with the hybrid nanofluid suspension. The integral transform scheme, i.e. the Laplace transform, converts the governing equations into a fractional form before various numerical methods are applied to solve the problem. Further, some numerical schemes to address the Laplace inverse are also utilized.

The fractional effects on flow rate and heat transfer are evident at varying time intervals. Consequently, we conclude that as the fractal constraints increase, the momentum and heat profiles decelerate. Furthermore, all necessary conditions are satisfied, resulting in the momentum and temperature fields decreasing near the plate and increasing over time. Additionally, the water-based (H2O + Go + MoS2) solution exhibits a more pronounced impact compared to the CMC-based (CMC + Go + MoS2) hybrid suspension.

The findings could be very useful in enhancing the efficiency of thermal systems. These findings align more accurately with conventional solutions and can be used to build and optimize various heat management strategies.

The primary goals of this research are to examine the thermal and flow properties of hybrid nanofluids for manufacturing purposes of thermal engineering equipment utilizing fractal fractional definition. Further, to improve thermal system productivity by applying sophisticated fractional techniques to better and maximize heat and momentum transmission in these hybrid nanofluid solutions

The purpose of this study is to examine how quality-of-life (QoL) provisions can be integrated with the corporate social responsibility (CSR) initiatives of hospitality firms and the influence of CSR initiatives on quality of working life (QWL) and the circular economy.

The article outlines the core characteristics of CSR and QoL and how they relate to hospitality industry settings. These theoretical underpinnings are then used to examine the practices of Hoshino Resort Tomamu, Japan and the findings of several similar case study applications: the Hoshino Resort group, Intercontinental Jordan; Sheraton Amman Al Nabil hotel and towers and Hotel Casa de Palmela.

Sustainability has become the primary agenda for many nations globally and the hospitality industry can significantly impact sustainability outcomes. Among the strategies that have been used by firms to promote sustainability is CSR. However, prior studies have primarily focused on CSR activities in manufacturing and production and often on external stakeholders. Recent research reveals the importance of internal stakeholders – employees – in promoting sustainability.

Comparatively little has been published about the deployment of CSR initiatives in hospitality settings – especially in relation to the impact that these initiatives have on thinking about quality of work life, quality of life and the circular economy. This article explores the linkages with reference to hotel and resort company applications.

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.