
Off-road riders will find bike tests and practical advice on riding, maintenance and tuning, alongside reports from the racing scene.

Off-road riders will find bike tests and practical advice on riding, maintenance and tuning, alongside reports from the racing scene.

Off-road riders will find bike tests and practical advice on riding, maintenance and tuning, alongside reports from the racing scene.

Off-road riders will find bike tests and practical advice on riding, maintenance and tuning, alongside reports from the racing scene.

Off-road riders will find bike tests and practical advice on riding, maintenance and tuning, alongside reports from the racing scene.

Off-road riders will find bike tests and practical advice on riding, maintenance and tuning, alongside reports from the racing scene.

CAR is Southern Africa’s leading automotive-interest magazine – and has been since 1957. It’s aimed at petrol-heads of all ages looking for, expert reviews, road tests, driving impressions of the latest models available and great motoring content from the country’s leading motoring journalists.

For building owners and facility managers, this trade magazine offers practical guidance on the operation and modernization of commercial and institutional buildings.

The Neuronal Codes of the Cerebellum provides the most updated information on what is known on the topics of the cerebellum’s anatomy and single cell physiology, two areas where there has been a gap in knowledge regarding the specific codes it uses to process information internally and convey commands to other brain regions. This has created difficulties for researchers and clinicians looking to develop an understanding of the mechanisms by which it contributes to behavior and how its dysfunction causes neurological symptoms.

Language, Style and Variation in Contemporary Indian English Literary Texts is a volume which examines the linguistic and stylistic forms of Indian English in new fictional texts to explore the power of language to construct meaning, express identity, and convey ideology. Specifically, this study proposes the elaboration and application of postcolonial stylistics, i.e. an interdisciplinary methodology that uses different disciplines, such as literary linguistics and postcolonial studies as a critical lens to read contemporary Indian authors like Jeet Thayil, Deepa Anappara, Avni Doshi, Tabish Khair, and Megha Majumdar. The linguistic fabric of their fiction is investigated in a series of case studies, observing the stylistic rendition of a wide range of themes and tropes, such as the representation of Otherness, drug discourse, lament and the senses, which cumulatively portray aspects of the current Indian narrative scenario. The book develops ideas growing out of several disciplines to reach a fuller understanding of cultural phenomena in the postcolonial context, and by extension in the social world.

This book highlights a research-based design proposal which has the purpose of relieving from lack of global food supply. Due to the current overuse of land, it suggests an extension of aquatic food production with floating devices onto the sea. These devices are called SeaOasis because they function as an oasis as closed-loop systems and are therefore highly sustainable.

Cultivating Professional Identity in Design is a nuanced, comprehensive companion for designers across disciplines honing their identities, self-perception, personal strengths, and essential attributes. Designers’ identities, whether rooted in education, workforce training, digital technology, arts and graphics, built environment, or other fields, are always evolving, influenced by any combination of current mindset, concrete responsibilities, team dynamics, and more. Applicable to designers of all contexts, this inspiring yet rigorous book guides practitioners and students to progress with ten key traits: empathy, uncertainty, creativity, ethics, diversity/equity/inclusion, reflection, learning, communication, collaboration, and decision-making.

Mathematical modeling is routinely used in physical and engineering sciences to help understand complex systems and optimize industrial processes. Mathematical modeling differs from Artificial Intelligence because it does not exclusively use the collected data to describe an industrial phenomenon or process, but it is based on fundamental laws of physics or engineering that lead to systems of equations able to represent all the variables that characterize the process. Conversely, Machine Learning methods require a large amount of data to find solutions, remaining detached from the problem that generated them and trying to infer the behavior of the object, material or process to be examined from observed samples.