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During the 3D printing process, the model needs to add a support structure to ensure structural stability. Excessive support structure reduces printing efficiency and results in material cost. A flexible support platform for 3 D printing has been designed. It can form an external support structure to replace the original support structure. This paper aims to study the influence of a model’s build orientation on properties when the model is printed on the platform, aiming to provide users with suitable solutions.

A fitness function for estimating the support structure with a support length is constructed. The particle swarm optimization (PSO) algorithm is modified and applied to find the build orientation that minimizes the support structure. However, when the model is printed on the platform, the build orientation of the minimum support structure enhances the complexity of the working path, resulting in an increase of printing time, which needs to be avoided. This paper applies a multi-objective particle swarm optimization (MOPSO) algorithm to minimize the support structure while minimizing printing time. The Pareto solution is obtained by the algorithm.

It is found that the model that has the cantilever structure can reduce more support structure after optimization on the platform, when there is surface quality requirement. When there is no limit, the modified algorithm can minimize the support structure of each model. Considering support structure and printing time, the MOPSO algorithm can easily get optimization results to guide the practical work.

This paper optimizes the model’s build orientation on the flexible support platform by PSO, thereby reducing material cost and improving work efficiency.

The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and propose future research directions. Under the domain of capital markets, this theme is a niche area of research where greater academic investigations are required. Most of the research is fragmented and limited to a few conventional aspects only. To address this gap, this study engages in a large-scale systematic literature review approach to collect and analyze the research corpus in the post-2000 era.

The big data corpus comprising research articles has been extracted from the scientific Scopus database and analyzed using the VoSviewer application. The literature around the subject has been presented using bibliometrics to give useful insights on the most popular research work and articles, top contributing journals, authors, institutions and countries leading to identification of gaps and potential research areas.

Based on the review, this study concludes that, even in an era of global market integration and disruptive technological advancements, many important aspects of this subject remain significantly underexplored. Over the past two decades, research has lagged behind the evolution of capital market crime and market regulations. Finally, based on the findings, the study suggests important future research directions as well as a few research questions. This includes market manipulation, market regulations and new-age technologies, all of which could be very useful to researchers in this field and generate key inputs for stock market regulators.

The limitation of this research is that it is based on Scopus database so the possibility of omission of some literature cannot be completely ruled out. More advanced machine learning techniques could be applied to decode the finer aspects of the studies undertaken so far.

Increased integration among global markets, fast-paced technological disruptions and complexity of financial crimes in stock markets have put immense pressure on market regulators. As economies and equity markets evolve, good research investigations can aid in a better understanding of market manipulation and regulatory compliance. The proposed research directions will be very useful to researchers in this field as well as generate key inputs for stock market regulators to deal with market misbehavior.

This study has adopted a period-wise broad-based scientific approach to identify some of the most pertinent gaps in the subject and has proposed practical areas of study to strengthen the literature in the said field.

This paper aims to evaluate initial user perceptions and use of Amazon's Kindle DX e‐book reader.

The web crawler software LocoySpider was first applied to extract the Kindle DX customer reviews from Amazon web site, then 100 records randomly selected from the 1,358 customer reviews were analyzed with QSR NVIVO 8 software to code the pros and cons of the Kindle DX.

Data analysis indicates that Kindle DX is a great e‐book device. However, customers expressed their requirements for the next generation Kindle e‐book reader.

This is one of the first research papers of its kind to collect customer reviews of the Amazon Kindle DX with web crawler software and use NVivo 8 qualitative data analysis software to explore user perceptions of the Kindle DX e‐book reader.

This paper computationally estimates the constitutive relationships of composite materials reinforced by single walled carbon nanotubes (SWNT).

A multiscale analysis is considered. At the nanoscale level, molecular dynamics (MD) are used to predict the stiffness for an equivalent beam. A BEM solver for the elasticity problems is extended to allow the presence of inclusions and hence is used to model a RVE for the composite matrix with the equivalent nanotube beams. A genetic algorithm (GA) is developed to generate an initial population of anisotropic materials based on FEM. The GA evolves the population of properties of anisotropic materials till a material is found whose mechanical response is the same as that of the nanocomposite.

The overall process is suitable for the constitutive relationships estimation according to the verification process outlined.

The present work is limited to 2D linear problems. However, extending it to 3D non‐linear applications is straight forward.

The present technique could be used to estimate properties of NCT composites, hence practical applications such as aeroplane structures or turbine blades could be analysed using commercial finite element software. The present methodology could be used to estimate non‐mechanical properties such as the thermal and electric properties.

The present computational technique has never been presented in the literature.

The focus on excessive corporate leverage as a key factor influencing bank loan delinquency has come into sharp focus in recent times. However, not much analysis has been undertaken on the factors driving corporate distress in emerging economies. Focusing on India as a case study, the purpose of this paper is to investigate the impact of a particular category of corporate debt restructuring (CDR) proposed by the Indian central bank over the last decade in leading an attempt to address bank loan delinquencies, the authors assess the factors influencing the quantum of restructured debt at the corporate level over the time period 2003–2012.

Besides univariate analysis, the authors use logit regression techniques to analyze the factors driving CDR outcomes in India.

The results suggest that firms that successfully exit the debt restructuring process are more profitable and less levered and spend a longer time in such restructuring. Little net equity enters these restructured firms, while there is some evidence of equity stripping, particularly in firms with greater promoter control.

To the best of our knowledge, this is one of the early studies that employ micro-level data to make a comprehensive assessment of the factors driving CDR for a leading emerging economy.

The purpose of this paper is to examine the relationship between servant leadership and customer service behaviors by probing the mediating role of promotion focus and the moderating role of internal locus of control.

The authors hypothesized an indirect relationship between servant leadership and customer service behaviors through promotion focus. Also, the authors predicted that the positive relationship between servant leadership and promotion focus would be stronger for employees with low internal locus of control. The authors tested the theoretical model with data gathered across two phases over three months from 280 supervisor-subordinate dyads.

Results indicated that servant leadership was positively related to customer service behaviors via promotion focus. Results also showed that internal locus of control moderated the relationship between servant leadership and promotion focus, such that the relationship was stronger for employees low on internal locus of control. Furthermore, this moderated mediated model was supported. As predicted, the indirect effect was stronger when internal locus of control was low.

This study extends the regulatory focus theory to the service context to investigate how and when servant leadership enhances customer service behaviors. The authors suggested promotion focus as a key mediating mechanism and revealed internal locus of control as a boundary condition for the effectiveness of servant leadership.

This study highlights the importance role of promotion focus in fostering customer service behaviors and provides novel theoretical insight regarding when servant leadership enhances customer service behaviors.

This study aims to clarify the effect of team effort allocation between knowledge exploration and exploitation on the generation of extremely good or poor innovations. The influence of previous collaborative experience among team members on the effect of team effort allocation is also investigated to understand the relationship between team members’ collaboration networks and knowledge learning.

This study uses data of all patents granted by the US Patent and Trademark Office between 1984 and 2010. The inventors involved in a patent are regarded as members of the focal team. Logistic regression is used to analyze the data.

Allocating greater effort to exploration than to exploitation is beneficial to achieving breakthrough innovations despite the risk of generating particularly poor innovations. This benefit increases with collaborative experience among team members. Placing an equal emphasis on knowledge exploration and exploitation is not particularly effective in achieving breakthrough innovations; it is, however, the best strategy for avoiding particularly poor innovations.

This research not only provides valuable insights for research on innovation and knowledge management by studying the team effort allocation strategy used to achieve breakthroughs and avoid particularly poor innovations but also represents an advancement in bridging two streams of research – knowledge learning and social networks – by highlighting the influence of the team members’ collaborative networks on the effect of team effort allocation between knowledge exploration and exploitation.

The purpose of this study is to explore the interfacial adhesion between superhydrophobic coatings FC-X (X = 1%, 2%, 3%, 4% and 5%) and the concrete substrate, along with the impact of FC-X on the water repellency characteristics of the concrete substrate.

One synthetic step was adopted to prepare novel F-SiO₂ NP hybrid fluororesin coating. The impact of varying mass fractions of F-SiO₂ NPs on the superhydrophobicity of FC-X was analyzed and subsequently confirmed through water contact angle (WCA) measurements. Superhydrophobic coatings were simply applied to the concrete substrate using a one-step spraying method. The interfacial adhesion between FC-X and the concrete substrate was analyzed using tape pasting tests and abrasion resistance measurements. The influence of FC-X on the water repellency of the concrete substrate was investigated through measurements of water absorption, impermeability and electric flux.

FC-4% exhibits excellent superhydrophobicity, with a WCA of 157.5° and a sliding angle of 2.3°. Compared to control sample, FC-X exhibits better properties, including chemical durability, wear resistance, adhesion strength, abrasion resistance, water resistance and impermeability.

This study offers a thorough investigation into the practical implications of enhancing the durability and water repellency of concrete substrates by using superhydrophobic coatings, particularly FC-4%, which demonstrates exceptional superhydrophobicity alongside remarkable chemical durability, wear resistance, adhesion strength, abrasion resistance, water resistance and impermeability.

Through the examination of the interfacial adhesion between FC-X and the concrete substrate, along with an assessment of FC-X’s impact on the water repellency of the concrete, this paper provides valuable insights into the practical application of superhydrophobic coatings in enhancing the durability and performance of concrete materials.

This paper aims to present a review of rural women and their activities in using digital spaces, especially libraries and resource centers from the internet and cyberspace in the past few months.

Literature is reviewed on women and rural libraries and the way they are opportune to use the facilities. The advantages they get from digital spaces and how it empowers them are highlighted.

Rural women use digital spaces for their further education and that of their children as well. The benefits derived from digital spaces make it imperative for provisions to be made for them in the rural areas.

The importance of women’s activities and their economic and socioeconomic empowerment is emphasized among others as well as the role of libraries and the success stories therewith.