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In this chapter, we explore whether various true, endogenous social cycle theories share common patterns and characteristics.

We examine a number of prominent social theories describing cyclical patterns, and attempt to abstract an ideal type common to all of them, based on the idea of two populations disrupting each other and adjusting to the other’s disruptions.

At the core of such theories we typically find a variation of a two-population model. In these theories, cycles emerge when one of the populations seems to disrupt the other population’s plans, leading to recurring adjustments and disruptions that constitute the cycle.

Finding such commonalities in the world of theories can be useful for several reasons. For one thing, noticing that two theories share certain traits may help us understand each of them better. Furthermore, we show that agent-based modelers using modern object-oriented programming techniques can benefit from finding common patterns in theories.

The development of information technologies has led to a considerable transformation in human resource management from conventional or commonly known as personnel management to modern one. Data mining technology, which has been widely used in several applications, including those that function on the web, includes clustering algorithms as a key component. Web intelligence is a recent academic field that calls for sophisticated analytics and machine learning techniques to facilitate information discovery, particularly on the web. Human resource data gathered from the web are typically enormous, highly complex, dynamic, and unstructured. Traditional clustering methods need to be upgraded because they are ineffective. Standard clustering algorithms are enhanced and expanded with optimization capabilities to address this difficulty by swarm intelligence, a subset of nature-inspired computing. We collect the initial raw human resource data and preprocess the data wherein data cleaning, data normalization, and data integration takes place. The proposed K-C-means-data driven cuckoo bat optimization algorithm (KCM-DCBOA) is used for clustering of the human resource data. The feature extraction is done using principal component analysis (PCA) and the classification of human resource data is done using support vector machine (SVM). Other approaches from the literature were contrasted with the suggested approach. According to the experimental findings, the suggested technique has extremely promising features in terms of the quality of clustering and execution time.

The presence of Latin in heavy metal music ranges from full texts, intros, song and album titles to band names, pseudonyms, and literary quotations. This chapter sheds light on heavy metal's fascination with the history and ‘arcane’ sound of Latin, and investigates its patterns of use in lyrics with the help of Natural Language Processing tools and digitally-available linguistic resources. First, the authors collected a corpus of lyrics containing differing amounts of Latin and enhanced it with descriptive metadata. Next, the authors calculated the richness of the vocabulary and the distribution of content words. The authors processed the corpus with a morphological analyser and performed both a manual and a computational search for intertextuality, including allusions, paraphrase and verbatim quotations of literary sources. The authors show that, despite it being a dead language, Latin is very frequently used in metal. Its historical status appears to fascinate bands and lends itself well to those religious, epic and mysterious themes so characteristic of the heavy metal world. The widespread use of Latin in metal lyrics, however, sees many bands simply reusing Latin texts – mostly from the Bible – or even misspelling literary quotations.

When Rambo Last Blood hit the screens in 2019 to an almost unanimous thumbs down from the critics, it seemed as if Sylvester Stallone's ‘last outing’ as his iconic action hero, John Rambo was to bow out with more of a violent whimper than a spectacular bang. But action heroes never really do know when to quit. There is always one last mission to undertake. In an online interview in September 2019, Stallone indicated that Rambo 6 could well be on the cards. This chapter will discuss not only ideas about ‘Rambo’ as a character and his character arc, but posit the idea that Stallone, through the process of gerontology, has moved through the decades to become not a simplification or distillation of a cinematic action hero, but rather a much more complex one that asks questions about the politics of the era, masculinity, fragility and ageing.

Uncertainty is one of the principal features of public administration in Colombia. Therefore, presenting a clear and consistent analysis is difficult. This uncertainty exists alongside interesting efforts to modernize institutions. Among the challenges faced by public administration in Colombia, we find corruption, illegal bands of drug traffickers, and the lack of trust between critical actors involved in governance. The aim of this chapter is to share an analysis that illustrates the difficulties and contradictions faced by those working in the public sector.

“Colombia is a legal social state organized in the form of a unitary republic, decentralized, with the autonomy of its territorial units, democratic, participatory, and pluralistic, based on respect of human dignity, on the work and solidarity of the individuals who belong to it, and the predominance of the general interest” (National Constitution, 1^st Article).

“Colombia is a legal social state organized in the form of a unitary republic, decentralized, with the autonomy of its territorial units, democratic, participatory, and pluralistic, based on respect of human dignity, on the work and solidarity of the individuals who belong to it, and the predominance of the general interest” (National Constitution, 1^st Article).