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The purpose of this paper is to conduct a survey on research in fabric and cloth simulation using mass spring model. Also in this paper some of the common methods in process of fabric simulation in mass spring model are discussed and compared.

This paper reviews and compares presented mesh types in mass spring model, forces applied on model, super elastic effect and ways to settle the super elasticity problem, numerical integration methods for solving equations, collision detection and its response. Some of common methods in fabric simulation are compared to each other. And by using examples of fabric simulation, advantages and limitations of each technique are mentioned.

Mass spring method is a fast and flexible technique with high ability to simulate fabric behavior in real time with different environmental conditions. Mass spring model has more accuracy than geometrical models and also it is faster than other physical modeling.

In the edge of digital, fabric simulation technology has been considered into many fields. 3D fabric simulation is complex and its implementation requires knowledge in different fields such as textile engineering, computer engineering and mechanical engineering. Several methods have been presented for fabric simulation such as physical and geometrical models. Mass spring model, the typical physically based method, is one of the methods for fabric simulation which widely considered by researchers.

This paper aims to evaluate the mechanical behaviour of polycarbonate/acrylonitrile butadiene styrene (PC/ABS) filaments for fusion filament fabrication (FFF). PC/ABS have emerged as a promising material for FFF due to their excellent mechanical properties. However, the optimal processing conditions and the effect of the blending ratio on the mechanical properties of the resulting workpieces are still unclear.

A statistical factorial matrix was designed, including infill pattern, printing speed, nozzle size, layer height and printing temperature as factors (with three levels). A total of 810 workpieces were printed using PC/ABS blends filament with the FFF. The workpieces’ finishing and mass were evaluated. Tensile tests were performed. Analysis of variance was performed to determine the main effects of the processing conditions on the mechanical properties.

The results showed that the PC/ABS (70/30) exhibited higher tensile. Tensile rupture corresponded to 30% of the tensile strength. The infill pattern showed the highest contribution to the responses. The concentric pattern showed higher tensile strength. Tensile strength and mass ratio demonstrated the influence of mass on tensile strength. The influence of printing parameters on deformation depended on the blend proportions. Higher printing speed and lower layer height provided better quality workpieces.

This study has implications for the design and manufacturing of three-dimensional printed parts using PC/ABS filaments. An extensive experimental matrix was applied, aiming at a complete understanding of mechanical behavior, considering the main printing parameters and combinations not explored by literature.

Laser powder bed fusion (LPBF) in-situ alloying is a recently developed technology that provides a facile approach to optimizing the microstructural and compositional characteristics of the components for high performance goals. However, the complex mass and heat transfer behavior of the molten pool results in an inhomogeneous composition distribution within the samples fabricated by LPBF in-situ alloying. The study aims to investigate the heat and mass transfer behavior of an in-situ alloyed molten pool by developing a three-dimensional transient thermal-flow model that couples the metallurgical behavior of the alloy, thereby revealing the formation mechanism of composition inhomogeneity.

A multispecies multiphase computational fluid dynamic model was developed with thermodynamic factors derived from the phase diagram of the selected alloy system. The characteristics of the Al/Cu powder bed in-situ alloying process were investigated as a benchmark. The metallurgical behaviors including powder melting, thermal-flow, element transfer and solidification were investigated.

The Peclet number indicates that the mass transfer in the molten pool is dominated by convection. The large variation in material properties and temperature results in the presence of partially melted Cu-powder and pre-solidified particles in the molten pool, which further hinder the convection mixing. The study of simulation and experiment indicates that optimizing the laser energy input is beneficial for element homogenization. The effective time and driving force of the convection stirring can be improved by increasing the volume energy density.

This study provides an in-depth understanding of the formation mechanism of composition inhomogeneity in alloy fabricated by LPBF in-situ alloying.

Investigated milk fat fraction differs in physical attributes, first of all in melting point and solid fat content and its influence on crystallization process of cocoa butter i.e. chocolate mass. It means that this fraction slows down crystallization rate, decreases melting point of mixture with cocoa butter and causes chocolate softness. It is very important for quality of chocolate especially chocolate with nuts or sunflower kernel. The aim of this paper was to investigate the influence of low‐melting (26°C) milk fat fraction on crystallization processes in chocolate mass and define the optimal concentration of this fraction with suitable precrystallization temperature time regime. Solid fat content of chocolate which designates the influence of precrystallization changes in chocolate mass with addition of milk fat fractions was investigated.

The precrystallization was performed in a laboratory crystallizer that is in a modified Brabender pharinograph, which measures the rheological characteristics as indirect parameter of crystallization properties of chocolate mass depending on milk fat fraction concentration and precrystallization temperature. The experiments were performed according to the factorial plan 3² (two factors on three levels) and the results are statistically treated.

The results showed that the optimal conditions for achieving the satisfactory tempering rate (optimal concentration of crystals in chocolate mass) are addition of 3 per cent low‐melting milk fat fraction and precrystallization temperature of 25°C.

The addition of high‐melting milk fat fraction slows down the chocolate mass crystallization more then low‐melting milk fat fraction. Investigated fraction influenced decreasing in solid fat content of chocolate regardless of precrystallization temperature.

The Italian government addressed the first wave of its COVID-19 outbreak with a series of social restrictions and calculative practices, all branded with the slogan #istayathome. The hashtag quickly went viral, becoming both a mandate and a mantra and, as the crisis played out, we witnessed the rise of the Italian social movement #istayathome. This study examines how the government's calculative practices led to #istayathome and the constituents that shaped this social movement.

The authors embrace social movement theory and the collective identity perspective to examine #istayathome as a collective action and social movement. Using passive netnography, text mining and interpretative text analysis enhanced by machine learning, the authors analysed just over 350,000 tweets made during the period March to May 2020, each brandishing the hashtag #istayathome.

The #istayathome movement gained traction as a response to the Italian government's call for collective action. Thus, people became an active part of mobilising collective responsibility, enhancing the government's plans. A collective identity on the part of the Italian people sustained the mass mobilisation, driven by cohesion, solidarity and a deep cultural trauma from COVID-19's dramatic effects. Popular culture and Italy's long traditions also helped to form the collective identity of #istayathome. This study found that calculative practices acted as a persuasive technology in forming this collective identity and mobilising people's collective action. Numbers stimulated the cognitive, moral and emotional connections of the social ties shaping collective identity and responsibility. Thus, through collective identity, calculative practices indirectly influenced mass social behaviors and the social movement.

This study offers a novel theoretical perspective and empirical knowledge to explain how government power affects people's culture and everyday life. It unveils the sociological drivers that mobilise collective behaviors and enriches the accounting literature on the effects of calculative practices in managing emergencies. The study contributes to theory by providing an understanding of how calculative practices can influence collective behaviors and can be used to construct informal networks that go beyond the government's traditional formalities.

The purpose of this paper is to explore the psychological processes involved in spontaneous co-operation by survivors of mass emergencies, and the possible implications this may have for emergency responders.

A qualitative interview study was conducted with 12 survivors and witnesses of the 7 July 2005 London bombings. Data were subjected to thematic analysis.

Spontaneous co-operation amongst survivors often emerged, and this was a function of a common identity that grew out of a sense of shared fate amongst those affected. Some social influence that encouraged co-operation also occurred, and this was dependent upon whether there was a sense of shared identity between source and target of influence.

Evidence was only collected from a sub-set of one incident (7/7), thus limiting possible generalisability of the findings. Further research into comparable situations would provide a better understanding of the processes underlying mutual co-operation and support amongst emergency survivors.

Uninjured bystanders in emergencies can act as “zero-responders”, and so may become a useful resource which can be utilised by the emergency services in mass emergencies.

This is the first paper to explore in detail the social influence processes underlying spontaneous co-operation amongst survivors of emergencies, and will be of use to emergency responders.

This study proposes integrating the perceived risk and social influence literatures on online group buying (OGB) intentions with the basic TAM variables (perceived usefulness and perceived ease of use).

Based on an empirical survey of 304 online adopters of OGB in Taiwan, the paper uses structural equation modeling to confirm the research model.

The results reveal that perceived critical mass had the largest total effect on intention to use group buying websites. The findings also indicate that perceived usefulness and a sense of virtual community (SOVC) have significant effect on OGB intention. In addition, both perceived ease of use and website quality influence perceived usefulness. As expected, perceived risk has negative effect on OGB intention.

This study only considered buying intention with regard to foodstuffs, and it is unclear whether these analytical results can be generalized to other items. Further research could apply this model to examine group coupons (such as discount vouchers for restaurants).

To sustain a successful group buying website, attention must be paid to enhancing user's SOVC, enlarging the critical mass, and lowering the perceived risk. Practitioners can apply the findings of this study to focus on the determinants of success for their online shopping websites.

Theoretically, while drawing upon TRA studies, this paper provides a model that is capable of lending an understanding of the determinants of OGB intention. From a managerial perspective, the findings indicate that webmasters can improve or manage website members' buying intentions by increasing the sense of virtual community and critical mass.

The purpose of this paper is to present a conceptual model based on technology acceptance with extended antecedent variables (entertainment and irritation) to examine the impact of use and gratification on e‐consumers' acceptance of B2C Websites.

Data were collected from a total of 238 EMBA and undergraduate students from three different Taiwan universities. Structural equation modeling (SEM) was used to evaluate the conceptual model in terms of overall fit, explanatory powers and causal links.

The analytical results showed that entertainment gratification, irritation surfing experience (mass medium), perceived usefulness and ease of Web use (information systems) are important predictors of e‐consumers' use intention. The integrated model was then assessed for variance in explanatory power regarding consumer attitude and intention toward B2C Websites.

Intention to use the Web is the predictor of actual use, purchase and information‐seeking behaviors in e‐consumers. Creating entertaining content and reducing distracting processes can enhance acceptance of B2C Websites.

A theoretical model incorporating U&G constructs into a technology acceptance model was used to investigate e‐consumer behavior in Taiwan. Although ease of use and usefulness are perceived as important issues in traditional IS environments, U&G provides managers with a different perspective.

This paper aims to explore the accommodation experience of customers in the budget hotel sector – a less explored but rapidly expanding sector in the hospitality industry. This study investigates the effects of such experience on customer behavior.

The study adopts a quantitative approach and draws on a comprehensive data set (N = 414) by using a quota sampling approach. The context of the study is the Chinese market, where budget hotels and the number of mass tourists (inbound and outbound) have increased tremendously.

This study identifies a behavioral pattern that differs from trends reported in prior studies. The finding shows that the relationship between customer experience and behavioral intentions is mediated by customer satisfaction, which similarly mediates the relationship between perceived value and behavioral intentions.

The results provide significant implications for hoteliers in the budget hotel industry by calling for a differentiated marketing approach for this segment of customers. Furthermore, the study provides insights into the accommodation behavior of Chinese mass tourists. These findings can serve as reference for international budget hotel practitioners, especially those involved in hotels that target the increasing number of travelers from China.

The budget hotel sector is the first accommodation choice for many Chinese mass tourists. This study is the first to conduct a systematic exploration of the behavioral patterns of customers toward budget hotels in this context. Moreover, this study adopts a holistic approach by adopting an experiential view in measuring the overall experience of customers in budget hotels.

The purpose of this paper is to concern the use of analytics as a calculative engine enabling coordination and control for the development process in a creative digital business environment.

This research employs an explorative field study approach, using interview data from professionals working with free-to-play mobile game development. Drawing on the concepts of cycles of accumulation, accounting as an engine and mediating instruments, this study examines how organisational actors using the analytics in a digital business environment participate in the data generation that accumulates knowledge about and new insights into the desired outcome.

The real-time metrics provided the means for organisational actors to continually monitor, visualise and if necessary intervene in the creative “good game” development process. Timely quantification and visualisation of user actions, collected as digital traces, enhanced the cycle of information accumulation. This new knowledge resulted in a desire for improvement and perfection, which directed the actions towards the organisational objectives.

This study furthers our understanding of the performativity of accounting as an engine and the user behavioural data trace as its “fuel” in a digital product development. It highlights the role of analytics as a “fact-generating” device, capable of transforming the raw user behavioural data, the fuel, into powerful explanations through visualisations of ideals. The real-time metrics, understood as mediating instruments, enable the generation of new insights and accumulation of knowledge guiding the further development towards the desired outcome, the “good game”.