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The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.

Classical AMIGOS data set which comprises of multimodal records of varying lengths on mood, personality and other physiological aspects on emotional response is used for empirical assessment of the proposed overlapping sliding window (OSW) modelling framework. Two features are extracted using Fourier and Wavelet transforms: normalised band power (NBP) and normalised wavelet energy (NWE), respectively. The arousal, valence and dominance (AVD) emotions are predicted using one-dimension (1D) and two-dimensional (2D) convolution neural network (CNN) for both single and combined features.

The two-dimensional convolution neural network (2D CNN) outcomes on EEG signals of AMIGOS data set are observed to yield the highest accuracy, that is 96.63%, 95.87% and 96.30% for AVD, respectively, which is evidenced to be at least 6% higher as compared to the other available competitive approaches.

The present work is focussed on the less explored, complex AMIGOS (2018) data set which is imbalanced and of variable length. EEG emotion recognition-based work is widely available on simpler data sets. The following are the challenges of the AMIGOS data set addressed in the present work: handling of tensor form data; proposing an efficient method for generating sufficient equal-length samples corresponding to imbalanced and variable-length data.; selecting a suitable machine learning/deep learning model; improving the accuracy of the applied model.

This paper aims to encapsulate the gendered support and hindering factors along with the role of the state experienced by Delhi-based women entrepreneurs in setting up/operating their enterprises amidst the challenges posed by the coronavirus disease 2019 (COVID-19) pandemic.

The study used mixed methods to explore the challenges faced and recovery mechanisms adopted by women entrepreneurs with special reference to the COVID-19 pandemic. A total of 50 Delhi-based young women entrepreneurs (42 actual entrepreneurs + 8 prospective/struggling entrepreneurs) selected using snowball/purposive sampling were studied through both a semi-structured questionnaire and personal interviews. National Small Industries Corporation (NSIC) and micro, small and medium enterprises (MSME) were consulted for the government’s policy documents and data. The SPSS package was used for quantitative data analysis.

Low-budget/very small-scale women entrepreneurs face common as well as gender-based challenges in the context of the market, finance, social capital, family support and awareness in addition to accessing the state’s resources/policies in both their startups and crisis situations, such as the COVID-19 pandemic. Although gender sensitization, entrepreneurial family background, and equal access to technology and the Internet has enabled women entrepreneurs to initiate, adapt, and scale their enterprises, male domination within the family, society, market, and state apparatuses is omnipresent and has served as a bottleneck for women-owned startups while hindering the recovery of their enterprises amidst the COVID-19 pandemic.

The study was limited to exploring the challenges and prospects of Delhi-based women entrepreneurs at the beginning of their enterprises and amidst the COVID-19 pandemic. On the other hand, the study had access to data and facts announced by the Indian government. No data were available on the implementation of policies and programs, and therefore specific policy analysis was not attempted. However, the reachability and accessibility of government resources and policies were employed.

The study highlights the complexity of patriarchy, which hampers women entrepreneurs in all family, society, market and state domains. Therefore, policy enactment and implementation and further research on women entrepreneurship are suggested to focus more deeply on the gender dimension.

The data used in this work comprised inputs from government sources as well as insights from fieldwork that have not been used by any other publication.

This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.

The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.

The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.

The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.

The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.

The substantial increase in non-communicable diseases (NCDs) is considered a major threat to developing countries. According to various international organizations and researchers, Kerala is reputed to have the best health system in India. However, many economists and health-care experts have discussed the risks embedded in the asymmetrical developmental pattern of the state, considering its high health-care and human development index and low economic growth. This study, a scoping review, aims to explore four major health economic issues related to the Kerala health system.

A systematic review of the literature was performed using PRISMA to facilitate selection, sampling and analysis. Qualitative data were collected for thematic content analysis.

Chronic diseases in a significant proportion of the population, low compliance with emergency medical systems, high health-care costs and poor health insurance coverage were observed in the Kerala community.

The present study was undertaken to determine the scope for future research on Kerala's health system. Based on the study findings, a structured health economic survey is being conducted and is scheduled to be completed by 2021. In addition, the scope for future research on Kerala's health system includes: (1) research on pathways to address root causes of NCDs in the state, (2) determine socio-economic and health system factors that shape health-seeking behavior of the Kerala community, (3) evaluation of regional differences in health system performance within the state, (4) causes of high out-of-pocket expenditure within the state.

Given the internationally recognized standard of Kerala's vital statistics and health system, this review paper highlights some of the challenges encountered to elicit future research that contributes to the continuous development of health systems in Kerala.