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“Emotional Intelligence is the ability to sense, understand, value and effectively apply the power of emotions as a source of human energy, information, trust, creativity and influence -DANIEL GOLEMAN Emotional intelligence which is also known as emotional quotient is the ability to manage our own emotion by understanding thing in positive ways. It helps in relieving stress, overcome challenges of the life, defusing the tension, and developing empathy towards others. It refers to the ability to perceive, control and evaluate emotion. It helps in developing an ability to handle pressure and anxiety. It is actually a meta-level ability which helps in managing themselves internally. The objective of the present study is to know the global emotional intelligence of students in relation to the variables:-1) Boys and Girls 2) Science and arts, 3) Joint and nuclear family, 4) Small and large family. The researcher in the present study collected data from 503 respondents using descriptive survey method and analysed using t-test. The findings of the study- there is no significant difference in the emotional intelligence of boys and girls student and also science and arts student. But significant difference is observed when analyse between joint and nuclear family also between small and large family. [ABSTRACT FROM AUTHOR]

Paradigms are basic assumptions about how social reality is perceived, understood and explained. Whereas most research is based on a single paradigm, few empirical papers show the advantages of using multiple paradigms within a study. This article pleads for multi-paradigm studies in cross-cultural management research in order to reach a more multifaceted representation of cultural phenomena. This is particularly consistent with the field of cross-cultural management, because it would be ethnocentric to consider intercultural situations only from one perspective, usually that of one's own culture. The argument corresponds to the ambition of cross-cultural management to respect and adopt multiple (cultural) perspectives and, analogously, to achieve a 'paradigmatic ethnorelativism'. Based on an intercultural situation, and therefore going beyond meta-theoretical reasoning, this article demonstrates multi-paradigmatic sensitivity in terms of the functionalist, interpretive and critical paradigms. The use of these theoretical concepts leads to multiple angles and a less 'ethnocentric' position, and hence to more nuanced knowledge creation with regard to the intercultural situation. The 'blind spots' of each paradigm, but also their complementarities, are discussed. Consequently, this article raises theoretical and practical implications for cross-cultural management by offering a way to a richer understanding of intercultural situations through openness to different paradigms. [ABSTRACT FROM AUTHOR]

Territorial capital (TC) is often defined as a set of tangible and intangible values, of an economic, social and environmental nature, capable of determining the development potential of a territory. In this paper, two fundamental categories of TC factors are identified. The first (generative factors) includes human capital and social capital which together significantly influence individual and collective action. The material and immaterial effects induced by this category of TC take the form of structures, infrastructures, productive and governmental structures, artistic expressions, and the cultural heritage and constitute the second category of TC factors (here defined as sedimented factors). Measuring and assessing these two categories, here applied to the case of provinces in Italy, could allow the formulation of key policy suggestions for economic growth and territorial development. The preliminary results provide useful information about the methodological framework adopted and pose new questions for future research developments.

Robert K. Logan, Annette Grathoff and I agreed in late summer 2017 to start a research project on the origins of systems thinking. About a year later, we moved the project from the Bertalanffy Center for the Study of Systems Science to the only recently re-established Institute for a Global Sustainable Information Society (GSIS), of which I had become Director. Bob was a member of the Advisory Committee and Annette was a researcher. It was a GSIS project without funding and has been fed by voluntary contributions so far. The basic hypothesis was that systems thinking did not start with, say, Ludwig von Bertalanffy, but has been part and parcel of mundane thinking and, as such, goes back to the early days of mankind. The presentation at hand outlines three steps of anthroposociogenesis and how systems thinking might have emerged step by step. It connects to my Triple-C Model (Cognition—Communication—Co-operation) and to my characterisation of the current world situation as Great Bifurcation, making use of the term “Third” to depict an evolving anthropological feature.

Web growth, especially in social networks, is continuously increasing every day. Multiplicity of products offered and web pages has made picking up relevant items a tedious job. On the other hand, different tastes and behaviors of users is creating the probability to find a similar user among a large group of users difficult. As a result, automated software systems have difficulty to discover what is interesting to users. We have proposed a new approach to adapt to this flow. We will exploit domain knowledge of training data set to create a summary matrix. The summary matrix consists of new and few columns according to the attribute values of the selected feature. We fill the summary matrix with the average ratings based on the number of times that the attribute values appear in the user's profile for rated items. We use the summary matrix in two hybrid recommender systems. In our approach, we use meta-level technique which is one of the pipelined hybridization techniques. The proposed approach will reduce the effects of sparsity, cold start, and scalability which are common problems with the collaborative recommender systems. Furthermore, the proposed approach will improve the recommendation accuracy when there is comparison with the Collaborative Filtering Pearson Correlation approach and it will be faster as well. [ABSTRACT FROM AUTHOR]

In a hostile environment, an autonomous cognitive system requires a reflective capability to detect problems in its own operation and recover from them without external intervention. We present an architecture in which reflection is distributed so that components mutually observe and protect each other, and where the system has a distributed model of all its components, including those concerned with the reflection itself. Some reflective (or ‘meta-level’) components enable the system to monitor its execution traces and detect anomalies by comparing them with a model of normal activity. Other components monitor ‘quality’ of performance in the application domain. Implementation in a simple virtual world shows that the system can recover from certain kinds of hostile code attacks that cause it to make wrong decisions in its application domain, even if some of its self-monitoring components are also disabled. [Copyright &y& Elsevier]

A new method for function approximation and classification in cellular systems is developed. The solution of a function approximation or a classification problem does not correspond to a connection matrix, but to a pattern in a cellular automaton. The pattern is obtained by a procedure of chaotic growth. It acts as a map between input- and ouput-patterns, and in this sense it is a meta-pattern. It is shown that problems with symmetry are typically solved by fractal patterns with aesthetic attractiveness. Also meta-meta-patterns are introduced, which are patterns that solve sets of problems instead of a single problem. Such patterns specify sets of sets of couples of input- and ouput-patterns. This schema is generalized straightforwardly for higher order meta-patterns. [ABSTRACT FROM AUTHOR]