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Myxobacteria are fascinating and important prokaryotes. They have large genomes and exhibit a wide range of interesting behaviors, including multicellular fruiting body formation, social interaction, predation, and secondary metabolite production. Substantial progress is being made in understanding their ecological roles and the evolutionary forces that have shaped their phenotypes and behaviors. Novel species of myxobacteria are regularly described, often producing unusual metabolites and enzymes which can be of significant biotechnological interest. Molecular studies, ranging in subject from individual enzymes to entire ‘omes, continue to provide rich insights into myxobacterial biology. This collected volume brings together five research articles and three reviews, to provide a snapshot of current myxobacterial research in all its diversity.

carotenoids --- comparative genomics --- development --- fruiting body formation --- one-component systems --- quorum signalling --- two-component systems --- myxobacteria --- Myxococcales --- germination --- bacterial cell wall --- sporulation --- morphology --- photoreceptor --- photosensitizer --- photoregulation --- singlet oxygen --- plasmalogens --- CarF --- vitamin B12 --- CarH --- ECF-sigma --- CarD-CdnL --- microbial food web --- trophic interactions --- predator–prey interactions --- mesopredator --- social bacteria --- nematodes --- experimental community --- behavior --- Myxococcus sp. --- Corallococcus sp. --- Melittangium sp. --- Archangium sp. --- biosynthetic gene clusters --- Myxococcus xanthus --- phase contrast microscopy --- fluorescence microscopy --- aggregation --- rippling --- deep learning --- generative adversarial network --- pretator-prey coevolution --- antagonism --- mucoidy --- predatory bacteria --- bacterial predation --- prey diversity --- negative frequency dependence --- experimental evolution --- MyxoEE-6 --- functional genomics --- genome evolution --- genome organisation --- pan-genome --- proteomics --- taxonomy --- transcriptomics --- n/a --- predator-prey interactions

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"An edited collection about the evolution of agriculture in humans and insects"--

Food & society --- Evolution --- Insects (entomology) --- Agriculture --- host-symbiont interactions --- domestication --- tragedy of the commons --- social evolution --- yield --- fungus-growing termites --- fungus-growing ants --- repression of competition --- kin selection --- mutualistic symbiosis --- fungus-farming ants --- evolution of agriculture --- attine ants --- Formicidae --- Attini --- Attina --- symbiosis --- coevolution --- mutualism --- Domestication. --- Insect rearing. --- Beneficial insects --- Crops --- Origin. --- Evolution. --- SOCIAL SCIENCE / Agriculture & Food (see also POLITICAL SCIENCE / Public Policy / Agriculture & Food Policy) --- SCIENCE / Life Sciences / Evolution --- SCIENCE / Life Sciences / Zoology / Entomology --- Crop evolution --- Evolution (Biology) --- Economic entomology --- Entomology, Economic --- Insects, Beneficial --- Insects, Injurious and beneficial --- Useful insects --- Insects --- Zoology, Economic --- Entomology --- Insect culture --- Mass rearing of insects --- Rearing of insects --- Small animal culture --- Animals, Domestication of --- Animal training --- Domestic animals --- Pets --- Origin of agriculture --- Agriculture, Prehistoric --- Domestication --- Cultures and culture media --- Rearing --- Social aspects --- History

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Renewable energy deployment as an alternative to traditional energy sources is the cornerstone of the emission-reduction energy policies that aim to facilitate the transition to a low-carbon economy. This transition poses risks and opportunities for companies with business models that rely directly or indirectly on renewables, which will be reflected in the revaluation of assets and in the reallocation of private and public financial investments from carbon-intensive to low-carbon energies. In a series of selected articles, this book addresses current challenges and opportunities for renewable energies from technological, economic and financial perspectives.

day-ahead market --- balancing market --- gate closure --- forecast uncertainty --- wind power forecast --- agent-based simulation --- the MATREM system --- drying --- solar energy --- sustainable processing --- energy efficiency --- global heat production --- energy market --- energy conversion --- electricity --- carbon trading --- palm oil producer --- renewable energy --- economy --- sustainable development --- clean development mechanism --- Sustainable Development Goals (SDGs) --- Malaysia --- energy planning --- Modern Portfolio Theory (MPT) --- Capital Asset Pricing Model (CAPM) --- low-carbon economy --- renewable energy deployment --- environmental efficiency --- pumped hydro storage --- wind farm --- simulated annealing --- genetic algorithm --- pattern search --- Matlab optimization toolbox --- economic and environment feasibility --- renewables --- low carbon --- interdependence --- copulas --- conditional quantiles --- liquefied natural gas --- cold energy --- regasification --- chilled water --- techno economic --- coevolution --- the fuel ethanol industry --- history-friendly model --- entry regulation --- ethanol mandate --- production subsidy --- R&amp --- D subsidy

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Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.

global optimization --- cuckoo search algorithm --- Q-learning --- mutation --- self-adaptive step size --- evolutionary computation --- playtesting --- game feature --- game simulation --- game trees --- playtesting metric --- validation --- Pareto optimality --- h-index --- ranking --- dominance --- Pareto-front --- multi-indicators --- multi-metric --- multi-resources --- citation --- universities ranking --- swarm intelligence --- simulated annealing --- krill herd --- particle swarm optimization --- quantum --- elephant herding optimization --- engineering optimization --- metaheuristic --- constrained optimization --- multi-objective optimization --- single objective optimization --- differential evolution --- success-history --- premature convergence --- turning-based mutation --- opposition-based learning --- ant colony optimization --- opposite path --- traveling salesman problems --- whale optimization algorithm --- WOA --- binary whale optimization algorithm --- bWOA-S --- bWOA-V --- feature selection --- classification --- dimensionality reduction --- menu planning problem --- evolutionary algorithm --- decomposition-based multi-objective optimisation --- memetic algorithm --- iterated local search --- diversity preservation --- single-objective optimization --- knapsack problem --- travelling salesman problem --- seed schedule --- many-objective optimization --- fuzzing --- bug detection --- path discovery --- evolutionary algorithms (EAs) --- coevolution --- dynamic learning --- performance indicators --- magnetotelluric --- one-dimensional inversions --- geoelectric model --- optimization problem --- multi-task optimization --- multi-task evolutionary computation --- knowledge transfer --- assortative mating --- unified search space --- quantum computing --- grey wolf optimizer --- 0-1 knapsack problem --- green shop scheduling --- fuzzy hybrid flow shop scheduling --- discrete artificial bee colony algorithm --- minimize makespan --- minimize total energy consumption