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The purpose of this work was to develop a new trispiperazido phosphate-based reactive diluent (diphosphate-piperazine hydroxyl acrylate [DPHA]) and used as a flame retardant with an epoxy acrylate (EA) in ultraviolet (UV)-curable wood coating.

The concentration of reactive diluent was varied from 0% to 20% in the UV-curable formulation with constant photoinitiator concentration. The effect of DPHA concentration on film properties was studied by differential scanning calorimetry and thermogravimetric analysis, gel content, water absorption and limiting oxygen index.

The results showed that the viscosity of the prepared formulation decreased by increasing reactive diluent (DPHA) concentration which leads to improving the coating efficiency. A high concentration of reactive diluent (DPHA) of the cured films shows good resistance against stain, mechanical and thermal properties, which results in an increased glass transition temperature (T_g) and cross-linking density of the films.

The new trispiperazido phosphate-based reactive diluent was used in wood coating formulation, which resulted in excellent flame-retardant properties with higher cross-linked density with good stain resistance. This material can provide a wide range of application for coating industries to produce a glossy finish.

Here, diazo coupling reaction was imparted on chemically inert lignin isolated from natural resources. Activated lignin was coupled with the diazotised aniline, m-nitroaniline, p-nitroaniline-, and p-anisidine gives organic pigments.

The continuous increase in particle size of pigments confirms addition of diazotised salt to lignin by coupling reaction. Further, the dispersing ability of these coloured pigments were exploited in polymer matrix. Epoxy-polyamine cross linking system was doped with difference percentage of pigments and coated on mild steel metal surface. The morphology of these composites was understood by SEM, particle size, differential scanning calorimeter and thermo gravimetric analysis.

The synthesised organic pigments were characterised by FT-IR, ¹H NMR and UV-visible spectroscopy. It was observed that hiding power of aniline- and m-nitroaniline–based azo pigments was more than p-nitroaniline- and p-anisidine–based azo pigments. Thermal properties as well as water contact angles of coatings were improved with pigment concentration. The chemical resistivity of coating was observed to be improved with the increasing % of lignin-based azo pigment.

Lignin-based azo pigment has great potential to replace metal oxide pigment and provide strategy for utilisation of lingo-cellulosic biowaste material.

This study aims to produce composite pigments, including SHS/ZnAl-LDHs, IDS/ZnAl-LDHs and SNND/ZnAl-LDHs, with improved coloration, enhanced photostability and thermostability and biocompatibility.

The chemical structures of the composite pigments were characterized by X-ray diffraction spectroscopy and Fourier transform infrared spectroscopy. Photostability and thermal stability were assessed using ultraviolet-visible spectroscopy and colorimetry. The coverage of the dyes was determined through black-and-white tile testing, and specific RGB values were used to indicate color expressiveness. Finally, a four-color eyeshadow was formulated, and safety tests were conducted via human patch test and cellular assays to confirm the safety and reliability of the samples.

The experimental results demonstrate an enhancement in the photo and thermal stability of the SHS/ZnAl-LDHs, IDS/ZnAl-LDHs and SNND/ZnAl-LDHs composites, along with their superior performance in terms of covering power and color saturation. These composite pigments also exhibit high safety, making them well-suited for cosmetic applications.

The composite pigments based on hydrotalcite can be used in the cosmetic industry without causing any harm to the environment and human health.

The addition of hydrotalcite enables better application of pigments in cosmetics.

Since youngsters are being extensively engaged with digital devices these days, integrating digital technologies into food and nutrition education programs, stands out as a viable method. The current systematic review aimed to assess the available literature on the effectiveness of digital edutainment games on nutrition behavior of school-going children.

From the earliest date available until September 30, 2023, a comprehensive search was conducted in databases such as PubMed, Cochrane, Scopus, Lilacs, Science Direct, Web of Science and Google Scholar to identify relevant articles. Only randomized controlled studies were included in the review. Seven full-text publications that fulfilled the eligibility criteria were subjected to additional data extraction processing.

Children’s dietary behavior was found to be improved by playing digital games because they are entertaining and pleasurable. The majority of the studies' favored game type was game-based simulations. In terms of pedagogical role, all the studies were independent and not complementary to traditional conventional classroom lectures.

Based on the results, digital educational games show promising results in terms of acceptability and early impacts on reducing sugar intake and enhancing dietary habits in school-age children. However, it is necessary to conduct more research to determine the essential elements of these games, their duration of usefulness and their generalizability.

This review contributes to the researchers and academicians by providing relevant information regarding effectiveness of digital edutainment games on nutrition behavior of school-going children. This is the first systematic review conducted to assess the effectiveness of digital edutainment games on nutrition behavior of school-going children.

Induction heating as an energy source is a novel, recent method in extrusion-based metal additive manufacturing. The purpose of this paper is to develop an optimized coil for extrusion-based metal wire additive manufacturing. The optimized coil is so designed that uniform temperature distribution can be achieved in the extruder, achieving uniform material deposition in a semi-solid state, which is required for additive manufacturing.

Coil shape optimization is achieved by using arrangement of coil turns as a control variable in the form optimization process, and the objective function is to minimize the gradient in the distribution of the magnetic field to achieve uniform heating in the extruder for maintaining consistent solid and liquid fraction during material deposition. A combination of numerical solutions and geometrical optimization has been used for this study.

Experimental and simulation results reveal that the optimized induction coil produced a more uniform axial temperature distribution in the extruder, which is suitable for maintaining a uniform solid-to-liquid fraction ratio during material deposition.

The author has investigated the use of optimized-shaped induction coils in extrusion-based additive manufacturing. The optimized coil can achieve a more uniform temperature distribution in the extruder in comparison to the standard helical coil used in the existing process, which means optimized coil achieves a more uniform solid-to-liquid ratio during printing in comparison to existing standard coil shapes used for heating extruders and fulfils the requirement of additive manufacturing.

Social Entrepreneurship/management of non-profit organizations (and non-government organizations).

Undergraduate/MBA/Executive MBA.

PUKAR is a niche non-government organization (NGO) working on a unique concept of “Right to Research”. It has several themes aimed at democratizing research and broadening access to knowledge among the disenfranchised or the weakly institutionalized groups. The resulting output is disseminated through media such as lectures, Web site, books and newsletters, thus initiating local, national and global debates about future of these groups. PUKAR conceptualizes all projects around this philosophy, which are supported by few specialized funding organizations. Funding organizations, on the other hand, are trying to support many causes aimed at improving the quality of life of citizens of various countries. Thus, PUKAR's growth is constrained by limited funds. Nevertheless, PUKAR has been able to create transformation in the lives of youth who carry out these projects. PUKAR, therefore, faces a continuous challenge of conceptualizing proposals that are meaningful and impactful for the society and to stay true to its core philosophy.

The expected learning outcomes include: to understand the nature of challenges (both strategic and operational) faced by a niche NGO; to analyze how the strategy of an NGO evolves with time; to analyze the impediments of growth for a niche NGO; and to analyze the strategic options for growth and sustenance of an NGO.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

This paper is based on the personal connections of the four authors to Shivaji Park, the largest public space in Mumbai. Three of the authors are childhood friends and were once long-term residents of that area. The focus of this article is Shivaji Park, anecdotally the largest park in the island city of Mumbai, with its historical connotations and its ongoing role as a relational and cultural artefact in the lives of these authors. The ongoing member status of all four authors in connection with the public space is explored despite all of them now ceasing to be locals.

This article uses a qualitative approach utilising informal conversations between the four authors recorded on zoom as the research method. Supported by belonging and emotional reflexivity as conceptual frames, it investigates how the spatial context fosters a binding relationality, which is ongoing despite the now disparate locations of the authors.

Based on a critical analysis of the recorded conversations between the authors the findings highlight that belonging/unbelonging centres around emotionally tinged representations of place.

The core of this paper rests in the emotional connections between the authors based on their collective memories with a public space and its surrounding areas as a focus. The use of informal conversations is crucial in teasing out nuanced aspects of data collected based on human relationalities. The paper emphasises the repercussions of ongoing changes stemming from urban progress. They incur emotional and human costs through a “culling” of connections and belongings.

This chapter has been seminal work of Dr K.S.S. Iyer, which has taken time to develop, for over the last 56 years to be presented here. The method in advance predictive analytics has developed, from his several other applications, in predictive modeling by using the stochastic point process technique. In the chapter on advance predictive analytics, Dr Iyer is collecting his approaches and generalizing it in this chapter. In this chapter, two of the techniques of stochastic point process known as Product Density and Random point process used in modelling problems in High energy particles and cancer, are redefined to suit problems currently in demand in IoT and customer equity in marketing (Iyer, Patil, & Chetlapalli, 2014b). This formulation arises from these techniques being used in different fields like energy requirement in Internet of Things (IoT) devices, growth of cancer cells, cosmic rays’ study, to customer equity and many more approaches.

The COVID-19 pandemic had severely impacted global commerce, leading to market closure and travel restrictions. Due to the extreme limitations on shopping and market possibilities, consumers’ buying habits have changed significantly and they are still changing what they buy and how they purchase for everyday necessities. They are trying to shop locally, carefully, and economically. Consumers are buying their stuff from wherever goods are available. Purchasing nonessential items is restricted. Restaurants, tourism, apparel, and furniture are the industries that have been impacted the most. The objective behind this study is to find out the post-COVID-19 effects on consumer buying of essentials from a convenience store over hypermarkets and how consumer behavior will revive postpandemic toward retail shopping. In the study, responses were collected through structured questionnaire to explore the consumer buying behavior for their daily essentials both at convenience stores and hypermarkets. The study reveals that consumers prefer to buy essential commodities/goods of daily needs from convenience store compared to hypermarket due to the risk of being exposed to COVID-19 pandemic and this behavior will change future trend of retail shopping experience. The major limitation of the study is sampling frame. Future studies can replicate this study in different context with different target population. Pertaining to the current ongoing situations of the pandemic, a very high percentage of the respondents would still choose nearby convenience stores over hypermarkets. This study estimates the behavioral change in retail consumers in future; therefore, it suggests retailers adopt innovative marketing strategy in future.

The objective of this research work is to study the artificial intelligence (AI)-based product benefits and problems of the agritech industry. The research variables were developed from the existing review of literature connecting to AI-based benefits and problems, and 90 samples of primary data from agritech industry managers were gathered using a survey of a well-structured research questionnaire. The statistical package of IBM-SPSS 21 was utilized to analyze the data using the statistical techniques of descriptive and inferential statistical analysis. Results show that better information for faster decision-making has been ranked as the topmost AI benefit. This implies that the executives of agritech units have a concern about the quality of decisions they make and resistance to change from employees and internal culture has been ranked as the topmost AI problem.