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Wavelets are being increasingly used for damage diagnostics. The purpose of this paper is to present an algorithm that uses the wavelet transform for detecting mixed-mode, also known as combined mode, cracks in large truss structures.

The mixed-mode crack is modeled by superposing two damage modes, and this model is combined with a finite element model of the truss. The natural modes of the truss are processed through the wavelet transform and then used to determine the damage location. The influence of multiple parameters such as truss geometry, crack geometry, number of truss members, orientation of truss members, etc. is investigated as part of the study.

The proposed damage detection algorithm is found to be successful in detecting single mode as well as mixed-mode cracks even in the presence of significant end effects, and even when a relatively coarse sampling of natural modes is used. Results from multiple simulations that involve three commonly used truss structures are presented. A correlation between damage severity and the magnitude of wavelet coefficients is observed.

The proposed algorithm is found to be successful in accurately detecting damage, but direct determination of damage severity is found to be challenging.

The purpose of this study is to develop a novel comprehensive three-dimensional computational model to predict the transient thermal behavior and residual stresses resulting from the layer-by-layer deposition in the direct metal laser sintering process.

In the proposed model, time integration is performed with an implicit scheme. The equations for heat transfer are discretized by a finite volume method with thermophysical properties of the metal powder and an updated convection coefficient at each time step. The model includes convective and radiative boundary conditions for the exposed surfaces of the part and constant temperatures for the bottom surface on the build plate. The laser source is modeled as a moving radiative heat flux along the scanning pattern, while the thermal gradients are used to calculate directional and von Mises residual thermal stresses by using a quasi-steady state assumption.

In this study, four different scanning patterns are analyzed, and the transient temperature and residual thermal stress fields are evaluated from these patterns. It is found that the highest stresses occur where the laser last leaves off on its scanning pattern for each layer.

The proposed model is designed to capture the layer-by-layer deposition for a three-dimensional geometry while considering the effect of the instantaneous melting of the powder, melt pool, dynamic calculation of thermophysical properties, ease of parametrization of various process parameters and the vectorization of the code for computational efficiency. This versatile model can be used for process parameter optimization of other laser powder bed fusion additive manufacturing techniques. Furthermore, the proposed approach can be used for analyzing different scanning patterns.

The chapter explores how gender has been an integral part of the nation building project in post-liberalisation Hindi cinema, popularly, known as Bollywood.

This chapter is based on primary data gathered through interviews with prominent members of the Hindi film industry along with a detailed content analysis of commercially successful post-liberalisation mainstream Hindi films.

It highlights how the representation of gender has been a central axis around which the tension between tradition and modernity has been played out in Hindi Cinema. The construction of Indianness post-liberalisation has questioned gender politics but proposed easy resolutions which fit into the larger nationalist narrative. In doing so, it has used the diaspora as a category to produce a nationalist account which is simultaneously essentialised and transnational in the quest for projecting India’s aspirations on the global platform.

The chapter provides important insights into the role of popular Hindi cinema, often brushed off as frivolous, in contributing to the mainstream discourse on nationalism post-liberalisation.

This paper aims to investigate the national brand manufacturer's ability from corporate social responsibility (CSR) innovation as a counterstrategy against the private label by a retailer. By constructing a model of manufacturer–retailer interaction, the paper attempts to analyze that the national brand manufacturer’s decision on the CSR innovation and the effect of such innovation on the retailer’s motivation of launching the private label. The results of the theoretical model in this paper could be applied by the actors in supply chains in making decision on CSR innovation and the launch of a new brand.

The theoretical model in the paper describes a manufacturer–retailer interaction with the presence of the private label and CSR innovation on the national brand. Specifically, the manufacturer has option of innovating its products and makes them to be more socially responsible; in the meanwhile, the retailer has option of launching its private label. Moreover, there are heterogeneous consumers with respect to their preferences on the CSR feature. The altruistic consumers prefer the socially responsible product while the normal consumers are indifferent between the socially responsible and basic products. By predicting the expected profit, the two firms make decision over the supply chain.

The authors find that the CSR innovation can indeed restrict the retailer’s incentive to launch the private label. Because of the presence of the altruistic consumers, the CSR innovation can help the national brand product to expand its market relative to the situation without the innovation. They demonstrate that the national brand manufacturer wishes to invest more in CSR innovation under non-linear pricing contract and the retailer is more likely to launch the private label. This is because that the non-linear pricing contract makes the two firms to concern more about their joint profit, causing the competition is less fierce.

This paper explains that the CSR innovation in the national brand product can be an effective counterstrategy by the manufacturer to deter the launch of the private label, which has not been considered by the existing studies about national brand-private label competition. Moreover, this paper also shows that the CSR innovation may benefit both the national brand manufacturer and the retailer under some conditions. In addition, the results of the paper provide some insights to the national brand manufacturer when making decision on the CSR innovation and to the retailer when reacting the manufacturer’s CSR innovation.

This paper aims to propose a solution for dissolving the “privacy paradox” in social networks, and explore the feasibility of adopting a synergistic mechanism of “deep-learning algorithms” and “differential privacy algorithms” to dissolve this issue.

To validate our viewpoint, this study constructs a game model with two algorithms as the core strategies.

The “deep-learning algorithms” offer a “profit guarantee” to both network users and operators. On the other hand, the “differential privacy algorithms” provide a “security guarantee” to both network users and operators. By combining these two approaches, the synergistic mechanism achieves a balance between “privacy security” and “data value”.

The findings of this paper suggest that algorithm practitioners should accelerate the innovation of algorithmic mechanisms, network operators should take responsibility for users’ privacy protection, and users should develop a correct understanding of privacy. This will provide a feasible approach to achieve the balance between “privacy security” and “data value”.

These findings offer some insights into users’ privacy protection and personal data sharing.

The paper examines the increase in annual income of the new middle-class (The NMC) of Delhi-NCR and its impact on their investment habits, consumption habits and lifestyle. The paper aims to look into the transformation of the new middle-class into the NMC in emerging economies and its potential to the companies and investors.

This study draws insight from 558 new middle-class consumers in Delhi-NCR. ANOVA, post hoc tests , and hierarchical multiple linear regression model are applied to test the proposed hypotheses.

The NMC living in India's megacities imitates the lifestyle of their counterparts living in the West. To maintain their status and present themselves different from those living in middle or lower-middle-class categories, they spend audaciously, even though the income is low. When they enter the new middle class, their consumption, saving and lifestyle diversify positively.

This study has limitations. First, the authors do not apply any behavioral theory or marketing model such as the theory of reasoned action (TRA), Engel-kollat-Blackwell (EKB) model or theory of normative model of target markets. Second, the research is limited to the NMC of only one emerging economy, i.e., India. Third, the research sample is limited to only one megacity of India, i.e., Delhi. Finally, this research used only one factor, i.e., AI, to study the consumption pattern.

The results suggest that considering the buying habits and lifestyle of Indian the NMC, consumers would prove helpful to the companies in product decision-making. Furthermore, understanding change in investment habits across different income levels would be advantageous to financial institutions, investment planners and marketers while designing their products to attract investment.

The research holds significance from the point of view of understanding Indian consumers encompassing the the NMC and predicting their implications on consumer goods-producing industries, which shall, in turn, facilitate producers and government in formulating policies and strategies.