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The purpose of this study was to optimize the parameters for enhancing the vitamin D₂ formation in three edible mushroom varieties, namely, shiitake mushroom (Lentinula edodes), white button mushroom (Agaricus bisporus) and oyster mushroom (Pleurotus ostreatus) using ultraviolet (UV) irradiation.

Freshly harvested mushrooms were irradiated with UV-B and UV-C lamps. Further, mushrooms were treated with UV-B at a distance ranging between 10 and 50 cm from the UV light source, for 15–150 min, to maximize the conversion of ergosterol to vitamin D₂. Analysis of vitamin D₂ content in mushrooms before and after UV exposure was done by high pressure liquid chromatography (HPLC).

HPLC results showed a significant (p < 0.001) increase in vitamin D₂ levels of shiitake (17.3 ± 0.35 µg/g), button (24.9 ± 0.71 µg/g) and oyster (19.1 ± 0.35 µg/g) mushrooms, irradiated with UV-B at a distance of 20–30 cm for 120 min. Further, stability studies revealed that vitamin D₂ levels in UV-B-irradiated mushrooms gradually increased for 48 and 72 h of storage at room and refrigeration temperatures, respectively. During cooking operations, 62%–93% of vitamin D₂ was retained in UV-B-irradiated mushrooms.

This study describes the most effective parameters such as ideal wavelength, mushrooms size, duration of exposure and distance from UV sources for maximum vitamin D₂ formation in edible mushrooms using UV irradiation. Further, assessment of vitamin D₂ stability in UV exposed mushrooms during storage period and cooking operations has been carried out. In addition, this study also provides a comparison of the vitamin D₂ levels of the three widely cultivated and consumed mushroom varieties treated simultaneously under similar UV exposure conditions.

The purpose of the study is to analyse the influence of board composition and ownership structure on the dividend pay-out policy of selected listed Indian companies.

The top 30 companies listed on National Stock Exchange were examined for a period of three financial years from 2019 to 2021. Due to the cross-sectional and time-series character of the data, fixed effect panel model is used as the primary analytical approach.

The results revealed that there is a significant and positive association between board size and dividend policy. The results confirm that the firms with higher Indian ownership and non-institutional ownership distribute higher levels of dividend. No significant association was found between board independence and dividend decisions of ratios. Finally, it is observed that there is a positive impact of return on assets on dividend policy.

Future studies can confirm the impact of ownership determinants and board characteristics on dividend distribution policy by taking stock dividends into account and enlarging the sample size of developing market businesses. They can also investigate ownership factors including management ownership and international ownership, in addition to other board attributes like qualification, tenure and age. This will offer a more thorough comprehension of how these variables relate to dividend policy.

Because they are better able to assess the financial position and make educated judgments, a diverse and independent board of directors may result in more strategic and cautious dividend policies. The dividend policy of a firm is also influenced by its ownership structure and strategic objectives; small or primary shareholders may exert pressure for larger payments. By focusing on long-term strategic goals rather than immediate requirements, managers may guarantee that interests are aligned. The findings of this study offer significant guidance to management and regulators about the dividend policy of publicly listed corporations.

According to agency theory, the link between ownership structure, board composition and dividend policy may be explained by agency conflicts. Independent directors are necessary for the board to make decisions that effectively balance the interests of management and shareholders, particularly when it comes to paying dividends. According to studies, companies with non-executive directors have greater interest alignment and fewer agency issues. In addition, the ownership structure and makeup of the board are important factors in lowering agency conflicts and enhancing corporate governance procedures. Companies may improve their governance procedures and increase value for shareholders by resolving conflicts of interest.

The research paper contributes to the existing body of knowledge by analysing and uncovering significant and unknown relationship between board composition, ownership structure and dividend policy. The paper explores the relationship between specific ownership structures and dividend policy in context of a developing country where limited research exists and addresses a research question that has not been extensively studied before.

This study aims to analyse the synchronization sustainability has with coolness and how promotion of sustainable fashion can be dealt in an ameliorate way. It also provides insights to the fashion brands on how they can engage customers through brand coolness and romance for meliorated bottom and top lines.

It employs a mixed-method approach through the combination of qualitative and quantitative research methods. For qualitative part, data are garnered through in-depth interviews (n = 23) with sustainable brand owners, marketers, academicians, bloggers and influencers having different roles to play in the strategizing sustainability, slow fashion and consciousness amongst Gen Z. On the other hand, quantitative data are collected from apparel shoppers (n = 688) through structured questionnaire.

The qualitative data transcribed are analysed through NVivo, and findings received in this regard limns that sustainable fashion to be embellished as cool. Moreover, brand coolness has a relationship with sustainable fashion, emotional attachment factor such as brand romance affect purchase intention of sustainable fashion clothing. Furthermore, brand romance is identified as a mediating variable between brand coolness and purchase intention of sustainable clothing.

Limitations of the study is that with a structured interview, the respondents could not be asked to freely associate “anything related to cool”, rather they were directly asked to “define cool” and tell whether “they think sustainability in fashion can be stated as cool”. Without this constrain, the result could have been possibly being different. Moreover, the participants for the quantitative study were from developing countries which leads to limited generalizability of research findings.

This research attempts to develop an understanding of sustainable fashion so that brand managers can face the present challenges in a better way. The findings in this attempt of ours suggest that the sustainable fashion can be better employed only when both customers and brands are acting responsible. To make customers purchase the brands, the organizations must connect consumers through coolness and romance towards their brand.

When there is dearth of literature on the association sustainability has with coolness, the present study holds originality in adding to the literature on the pertinent aspect. Besides this, the present study addresses the lack of an academic understanding of literature on sustainable fashion in its own way through conduct of in-depth interviews with experts working in the area of sustainable fashion and then validating the same by surveying the Gen Z buyers of sustainable clothes.

Power management in households has become the periodic issue for electric suppliers and household occupants. The number of electronic appliances is increasing day by day in every home with upcoming technology. So, it is becoming difficult for the energy suppliers to predict the power consumption for households at the appliance level. Power consumption in households depends on various factors such as building types, demographics, weather conditions and behavioral aspect. An uncertainty related to the usage of appliances in homes makes the prediction of power difficult. Hence, there is a need to study the usage patterns of the households appliances for predicting the power effectively.

Principal component analysis was performed for dimensionality reduction and for finding the hidden patterns to provide data in clusters. Then, these clusters were further being integrated with climate variables such as temperature, visibility and humidity. Finally, power has been predicted according to climate using regression-based machine learning models.

Power prediction was done based on different climatic conditions for electronic appliances in the residential sector. Different machine learning algorithms were implemented, and the result was compared with the existing work.

This will benefit the society as a whole as it will help to reduce the power consumption and the electricity bills of the house. It will also be helpful in the reduction of the greenhouse gas emission.

The proposed work has been compared with the existing work to validate the current work. The work will be useful to energy suppliers as it will help them to predict the next day power supply to the households. It will be useful for the occupants of the households to complete their daily activities without any hindrance.

The purpose of this paper is to investigate the effect of residence time distribution in extruders along with the incorporation of nutraceuticals on the final quality of the products with respect to several pivotal responses.

Corn–rice flour blend fortified with isolated nutraceutical concentrates at two (low and high) levels was extruded at barrel temperature (110°C), screw speed (260 rpm) and feed moisture (17 percent). Extrudates were collected at an interval of 24 s followed by analysis for radial expansion (RE), bulk density (BD), water absorption index (WAI), sensory score (SS), textural hardness, colorimetric values (L*, a* and b*) and color difference (E).

The entire data were fitted to zero- and first-order kinetic models. There was a gradual decrease in RE, SS and L* value, whereas an increase in BD, textural hardness and a* value of extrudates fortified with the three nutraceutical concentrates was observed with the successive time interval of 24 s along with a more pronounced effect on color difference (E) observed during the last stages of extrusion time. The zero-order kinetic model was well fitted for BD and a* value, whereas the first-order kinetic model showed better results for RE, WAI, SS, textural hardness, L* value, a* value and b* value of fortified extrudates.

Nutraceuticals like β-glucans, lignans and γ oryzanol exhibit numerous health-beneficial effects. This study analyzes the kinetics of changes in various responses of extrudates fortified with these nutraceutical concentrates during extrusion.