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Considers the central nervous system as a data‐processing system, in which one can model (simulate) an operating system, a knowledge processor, a monitor, a model of the Universe and a linguistic model. Artistic creativity is compared with scientific activity and it is stressed that scientific creativity can also mean small advances in given areas. Considers it essential not to propose new paradigms, but to elaborate efficient imaginary ideas, to create new concepts and to propose new areas of research. In these directions, some simple methods are suggested.

A derivative autonomous nonlinear feedback system is suggested as a possible model for physical and biological oscillating systems. Practical conditions for the existence and stability motion are derived.

This communication highlights the study of the properties of a general second‐order nonlinear multistable system. Particular attention is directed to fixed points analysis and phase portrait representation. Some examples and computer simulations are also included.

Describes a new kind of non‐linear trainable classifier, successfully tested in computer‐vision pattern recognition. Class regions are not described, as usually, through analytical means but as a reunion of standard sets. Defines the notion of E‐separability for the class regions in the feature space IRd considered as a metric space with a distance related to the Euclidean distance. Studies and proves the convergence of the decision regions to the class regions in this metric space. For a given E (is a member of) provides a stopping rule for the training phase. Then describes the working phase, showing how classification actually takes place. Finally, presents significant results.

The purpose of this study is to empirically examine the effects of the numerical cues (NC) used in online review comments on perceived review helpfulness and the underlying psychological mechanisms.

An experimental design approach was employed to investigate the proposed research questions. Two experiments were conducted to test the hypotheses. Mplus 7 and Stata 14.0 were used for data analysis.

Empirical findings support the positive correlation between the presence of NC in online review comments and perceived review helpfulness across different product categories. This relationship is mediated by two psychological responses of consumers: cognitive elaboration and credibility perception.

This research adds to the existing literature by focusing on the value of NC in online review comments and how they can enhance perceived review helpfulness. Some practical implications are also addressed. For example, marketers can encourage consumers to post reviews that contain quantitative information to facilitate their target markets' comprehension of a product or brand.

Building on the previous literature, the work adds incremental knowledge on the role NC in online review comments play in affecting consumers' perceptions. In addition, the research uncovers the underlying psychological responses that mediate the relationship between NC in review comments and perceived review helpfulness.

Provides a personal view of the development of the theories and applications of fuzzy systems which were first introduced in the 1960s. Details the interrelationships between the pioneering proponents of fuzzy theory. Concentrates in part I on the historical beginnings of the field and in part II continues to provide personal insights into contemporary studies.

In recent years, sustainable issues have gained increasing importance in the higher education sector across the country. To remain competitive, higher education institutions (HEIs) have to engage themselves in providing world-class opportunities for higher education and research so that the beneficiaries may not be at a disadvantage in the international level. However, many HEIs still encounter barriers that can affect their growth. The purpose of this study is to identify and interpret the most significant barriers affecting the growth of HEIs in India and understand the mutual interactions and interdependence among them.

In this study, 12 barriers affecting the growth of HEIs in India were identified and sorted by literature review, and these were validated through discussion with experts. Contextual relationships were drawn between them during brainstorming sessions. A hierarchical, seven-level structural model of these barriers affecting the growth of HEIs was developed by utilizing the total interpretive structural modeling (TISM) approach.

The results of this study showed “lack of climate change research” as the topmost outcome of the model having the highest dependence and lowest driving power. “Facilitator domination over academic experts” occupied the bottom-level input, compared to other barriers of the model, with highest driving power and lowest dependence. Further, Matrice d'Impacts Croisés – Multiplication Appliquée à un Classement (MICMAC) analysis was also performed to categorize the identified barriers for better understanding. Under MICMAC analysis, five barriers were categorized as driver barriers, four barriers as dependent barriers and the rest as linkage barriers, while none as autonomous. A TISM-based model that partitioned the barriers into different levels was developed, showcasing direct and important transitive relations.

The TISM-based model developed in this study may provide a more realistic approach to the problems faced by decision-makers, academicians and top managers in the growth of HEIs in India. Thus, it will provide a roadmap to focus on the most influential barriers and reduce or eliminate them.

The present study identified major barriers that when dealt with can help overcome the effect of other barriers preventing the growth of HEIs in India. It also introduces a model to identify and manage the barriers by understanding the effectiveness of each barrier and minimizing the overall effect in Indian HEIs. Moreover, the analysis of interdependence and interactions studied among these barriers may also help decision-makers, academicians and top managers to find deeper insights, prioritize and rectify them, to re-establish the growth of HEIs and gain a competitive advantage.

The purpose of this paper is to discuss the evolving interpretations of the Covid crisis and its impact on hospitality and tourism.

Scenario planning paper following Framework Foresight about the Covid pandemic and its impact on hospitality and tourism. Research input was gathered from research reports in different disciplines and discussions with an expert panel.

The paper argues that hypothesized recovery scenarios were founded on hope and inaccurate extrapolations, and that hospitality and tourism may head for permanently lower volumes.

The paper contributes to the debate on tourism resilience and hopeful visions of a sustainable restart.

Instead of just focusing on direct pandemic impact and that of governmental measures, a third variable of consumer confidence will be decisive, and more important than expected by many initially, in future scenarios for hospitality and tourism.

The proposed scenarios that were designed with executive level industry input have so far proven more realistic than prevalent views of a swift recovery.

Virtual reality (VR) technology is a potential tool for tourism marketers to maintain the attractiveness of their destinations and recover from the COVID-19 pandemic. However, the effectiveness of VR technology in motivating potential tourists' visit intention under lockdown conditions remains unknown. An integrated model based on the experience economy framework and mood management theory was, therefore, used to explain how tourists' VR experiences affect their mood management processes and subsequent behaviors. This research also examined how perceived travel risk influenced the relationship between mood management processes and future decisions.

This study used a cross-sectional design based on a sample collected from a Chinese survey company, Sojump. The author surveyed 285 respondents who had experienced VR tourism activities during the COVID-19 pandemic. The research model was tested using partial least squares–structural equation modeling.

The results demonstrated that the four dimensions of VR experiences differently affected mood management processes, while perceived travel risk differently moderated the influence of mood management processes on visit intention and VR stickiness. This provides insights for tourism marketers to adapt to the current tourism environment and develop recovery strategies.

In response to gaps in the literature, this research examined the effectiveness of VR technology in driving tourists' visit intention during the COVID-19 pandemic, providing insights for tourism marketers to successfully implement VR tourism and plan timely recovery strategies.