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Mastitis in dairy production
Worldwide, mastitis is still one of the most important diseases in the dairy sector. Being a multifactorial disease, caused by multiple pathogens, control remains a difficult issue. Mastitis not only affects the health of milk-producing animals, having consequences for the profitability of dairy farms, it also affects the animal welfare. Moreover, mastitis negatively influences the milk quality having consequences for the dairy processing industry. In other words: mastitis affects a large part of the dairy production chain. Due to ongoing scientific effort, insight in mastitis in the context of increasingly complex farming systems, is improving. This insight leads to better methods to contro...
Toxoplasmosis
Scientific motivation to publish this book comes from the increased interest in the study of toxoplasmosis, showed all over the world. Though the Toxoplasma gondii infection was first discovered in 1908, toxoplasmosis remains a today's research topic, a realm of questions and dilemmas that interest both the veterinarians and the human doctors. Studies in the field are directed to the epidemiology of the disease, the sources of infection, epidemiological chains, being underlined the important feature in the transmission of this parasite: the ability to pass from one intermediate host to another intermediate host without passing through the final host - felids. An increased prevalence of toxop...
Ecological Bulletins, Suserup Skov
Suserup Skov in Denmark is a well-preserved beech-dominated forest reserve with continuity in tree cover at least back to 4200 BC, indicating it to be a direct descendent of the primeval forests. Despite of documented historical impact from humans, Suserup Skov is now increasingly characterized by natural disturbance dynamics and is one of the best reference areas for naturalness in the nemoral part of northern Europe. This has attracted several research projects focussing on forest dynamics, ecology and biodiversity which are summarized in this issue of Ecological Bulletins. This volume focuses on three main areas: 1) stand structures and dynamics 2) water and nutrient cycling processes, and 3) vegetation patterns and processes. With a compilation of scientific reviews, detailed case-studies and experimental works, the volume provides a unique and in-depth overview of structures and processes in a single forest reserve. The aim is to establish a basic reference of science and practice within forestry and nature conservation.
Proceedings of the 48th Congress of the International Society for Applied Ethology
The aim is not only to bring the most recent advances in applied animal behaviour and animal welfare, but also raise awareness of new interdisciplinary approaches, ideas and tools that would allow us to further advance in the study of animal behaviour and welfare. The scientific program ‘MOVING ON’ covers a great variety of traditional, but also many non-traditional topics such as: movement and space use, modelling and social networking, precision/smart farming, from pain to positive emotions, clinical behavioural problems, welfare in wildlife, neurobiology of behaviour and welfare, and behaviour and reproduction.
Applied Probability and Queues Theory
As well as combining a general account of applied probability and stochastic processes with a more specialized treatment of queueing theory, this book provides thorough coverage of the general tools of applied probability, such as Markov chains, renewal theory and regenerative processes.
Computational Modeling and Data Analysis in COVID-19 Research
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applic...
