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This paper is focused on developing an integrated algorithmic approach named as data envelopment analysis and multicriteria decision-making (DEA-MCDM) for ranking decision-making units (DMUs) based on cross-efficiency technique and subjective preference(s) of the decision maker.

Self-evaluation in data envelopment analysis (DEA) lacks in discrimination power among DMUs. To fix this, a cross-efficiency technique has been introduced that ranks DMUs based on peer-evaluation. Different cross-efficiency formulations such as aggressive and benevolent and neutral are available in the literature. The existing ranking approaches fail to incorporate subjective preference of “one” or “some” or “all” or “most” of the cross-efficiency evaluation formulations. Therefore, the integrated framework in this paper, based on DEA and multicriteria decision-making (MCDM), aims to present a ranking approach to incorporate different cross-efficiency formulations as well as subjective preference(s) of decision maker.

The proposed approach has an advantage that each of the aggressive, benevolent and neutral cross-efficiency formulations contribute to select the best alternative among the DMUs in a MCDM problem. Ordered weighted averaging (OWA) aggregation is applied to aggregate final cross-efficiencies and to achieve complete ranking of the DMUs. This new approach is further illustrated and compared with existing MCDM approaches like simple additive weighting (SAW) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prove its validity in real situations.

The choice of cross-efficiency formulation(s) as per subjective preference of the decision maker and different orness levels lead to different aggregated scores and thus ranking of the DMUs accordingly. The proposed ranking approach is highly useful in real applications like R and D projects, flexible manufacturing systems, electricity distribution sector, banking industry, labor assignment and the economic environmental performances for ranking and benchmarking.

To prove the practical applicability and robustness of the proposed integrated DEA-MCDM approach, it is applied to top twelve Indian banks in terms of three inputs and two outputs for the period 2018–2019. The findings of the study (1) ensure the impact of non-performing assets (NPAs) on the ranking of the selected banks and (2) are enormously valuable for the bank experts and policy makers to consider the impact of peer-evaluation and subjective preference(s) in formulating appropriate policies to improve performance and ranks of underperformed banks in competitive scenario.

To the best of the authors’ knowledge, this is the first study that has integrated both DEA and MCDM via OWA aggregation to present a ranking approach that can incorporate different cross-efficiency formulations and subjective preference(s) of the decision maker for ranking DMUs.

With the help of basic physics, the application of computer algorithms in the form of recent advances such as machine learning and neural networking in textile Industry has been discussed in this review. Scientists have linked the underlying structural or chemical science of textile materials and discovered several strategies for completing some of the most time-consuming tasks with ease and precision. Since the 1980s, computer algorithms and machine learning have been used to aid the majority of the textile testing process. With the rise in demand for automation, deep learning, and neural networks, these two now handle the majority of testing and quality control operations in the form of image processing.

The state-of-the-art of artificial intelligence (AI) applications in the textile sector is reviewed in this paper. Based on several research problems and AI-based methods, the current literature is evaluated. The research issues are categorized into three categories based on the operation processes of the textile industry, including yarn manufacturing, fabric manufacture and coloration.

AI-assisted automation has improved not only machine efficiency but also overall industry operations. AI's fundamental concepts have been examined for real-world challenges. Several scientists conducted the majority of the case studies, and they confirmed that image analysis, backpropagation and neural networking may be specifically used as testing techniques in textile material testing. AI can be used to automate processes in various circumstances.

This research conducts a thorough analysis of artificial neural network applications in the textile sector.

Wicke and Shepherd (1993) stated that socialist rock (and, by extension, metal) is more authentic than its capitalist counterpart because authenticity is tied to commercialism. This is, however, a very Western view of authenticity. Cushman's (1995) interviews suggest that rock musicians were themselves discussing authenticity in the late 1980s and with this comes notions of a socialist authenticity hitherto unexplored, related not to the official and unofficial cultures of Soviet Russia but rather to culture beyond that dichotomy. Other markers of authenticity also become more important: the Russian language is paramount here as the style of metal most prevalent at the time required clear lyrics, and so being able to be identified as a local, Russian, metal musician adds credence to one's status as an authentic, and particularly Russian, metal scene member. This chapter explores the precise circumstances in the early-mid-1980s which brought about metal music in Soviet Russia and how authenticity was determined among scene participants. It highlights the genesis of Russian metal in Russian rock and Western metal music. Then, a replacement is proposed for commercialism, the main marker of authenticity, in the Soviet Russian context, based on Yurchak's (2005) concept of vnye (meaning, approximately, to exist outside of or beyond Soviet society), as well as investigating other, less important markers of authenticity in their uniquely Russian context. One exemplar band, Aria, held both official and unofficial statuses, is used to illustrate the difficulty of making metal music in the Soviet period, as well as how certain aspects of authenticity could vary among rock and metal bands.

This study aims to examine if relational attachment could be considered as a mediator in the relationship between social support and career regret. The theoretical framework is based on Kahn’s (2007) work on meaningful connections.

The authors used a three-part survey for data collection, spread over two months from 368 employees for co-worker social support and 324 employees for supervisor social support working in different sectors in India.

The results indicate that for co-workers, relational attachment acts as a mediator between instrumental support and career regret; but for personal support, the mediation effect is absent. However, instrumental support is not directly related to career regret. Notably, in case of social support from the supervisor, there does not seem to be any mediation effect for personal or instrumental support. But social support is related to career regret for both categories of support.

The authors contribute to literature that examines the mechanism, driving social support and career regret. By understanding how these factors interact and impact one another, researchers can develop interventions and strategies to help individuals navigate career decisions, improve their personal relationships and increase their access to social support. Ultimately, this research can lead to improved well-being and career satisfaction for individuals. As the sample is generalized, there is scope to examine if the relationships differ based on the work structures and idiosyncrasies of the industries.

This study examines the unmapped mechanism that mediates the social support and career regret relationship, and in the process, provides new directions for research.

The aim of this paper is to analyze the interrelationship between factors conducive to rural tourism development. This touristic segment has enormous potential but still lacks consistent means and measures to ensure rural tourism's holistic development in India.

The study identified 14 factors, of which nine are from the literature review and five are from interaction with the experts, which influence rural tourism development. The research design comprises three segments, i.e. identifying factors from the literature and expert opinion, conducting interviews with the academic experts and managers, and analyzing the responses recorded. Interpretive structural modeling (ISM) technique is used to determine the interlinkage between the factors and develop a hierarchical relationship.

The results indicate that infrastructure development, growing environmental conscience, support of local government and community, availability of funds with the government and participation of the private sector are the primary factors channelizing rural tourism development. Also, attitudes of locals to adapt, tourist travel motives, marketing of the destination, destination characteristics and recommendation by others are the major dependent factors identified. The findings broaden the knowledge on suitable channels for rural tourism development and provide vital information for the formulation of flexible strategies for developing rural tourism in India.

This paper's originality lies in providing information to clarify the relationships between factors conducive to rural tourism development, an area where limited research has been done.

The purpose of this paper is to identify the key barriers to the delivery of school-based HIV and sexuality education in selected countries in Asia.

A review of published literature on barriers to school-based HIV and sexuality in countries in Asia was conducted, with a focus on research carried out after 1990. The paper also draws on recently undertaken national situation analyses of HIV and sexuality education conducted by the second author with support from UNESCO, as well as more general Asia-Pacific regional assessments undertaken by others.

Four key barriers to the delivery of good quality, school-based HIV and sexuality education are identified: cultural and contextual factors, policy factors, resource constraints and school-level factors.

The paper maps these four barriers as key areas in which action needs to occur in order to improve the delivery of school-based HIV and sexuality education. Potential levers for success are highlighted.

The present contribution is in the field of quantum modelling of macroscopic phenomena. The focus is on one enigmatic aspect of quantum physics, namely, the Einstein–Podolsky–Rosen paradox and entanglement. After a review of the state-of-the-art concerning macroscopic quantum effects and quantum interaction, this paper aims to propose a link between embryology and acupuncture in the framework of macroscopic intricate states induced by quantum mechanics.

The author uses the fractaquantum hypothesis which supposes that the quantum framework is applicable to all insecable elements in nature, whatever their size.

This contribution considers an open question related to a possible link between acupuncture and embryology: can a weak form of intrication be maintained during stem cell division to interpret the acupuncture meridians as an explicit manifestation of a macroscopic intricate system? The macroscopic structure suggested by quantum mechanics could be a beginning of explanation of acupuncture through the embryologic development.

A fundamental hypothesis is the fact that during cell division, cells keep some weak intrication.

This contribution suggests a structure of the acupuncture meridians. The links between the acupuncture points have to be searched in the embryologic development of the individual through a weak remaing intrication of some of his cells and not in present explicit relations.

A new link between occidental and oriental cultures is explored.

This contribution suggests conceptual links between acupuncture, embryology and macroscopic intricate states.