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Guardians of the Galaxy : the ultimate guide to the cosmic outlaws
This Guardians of the Galaxy guide includes key themes and storylines, and detailed character studies.
Book
Looplessness in networks is linked to trophic coherence
Many natural, complex systems are remarkably stable thanks to an absence of feedback acting on their elements. When described as networks these exhibit few or no cycles, and associated matrices have small leading eigenvalues. It has been suggested that this architecture can confer advantages to the system as a whole, such as “qualitative stability,” but this observation does not in itself explain how a loopless structure might arise. We show here that the number of feedback loops in a network, as well as the eigenvalues of associated matrices, is determined by a structural property called trophic coherence, a measure of how neatly nodes fall into distinct levels. Our theory correctly classifies a variety of networks—including those derived from genes, metabolites, species, neurons, words, computers, and trading nations—into two distinct regimes of high and low feedback and provides a null model to gauge the significance of related magnitudes. Because trophic coherence suppresses feedback, whereas an absence of feedback alone does not lead to coherence, our work suggests that the reasons for “looplessness” in nature should be sought in coherence-inducing mechanisms.
Journal Article
How people learn : designing education and training that works to improve performance
Design training programmes and learning content that works for employees and their learning style to improve staff performance, skills development and engagement.
Book
Individual behavioural traits not social context affects learning about novel objects in archerfish
Learning can enable rapid behavioural responses to changing conditions but can depend on the social context and behavioural phenotype of the individual. Learning rates have been linked to consistent individual differences in behavioural traits, especially in situations which require engaging with novelty, but the social environment can also play an important role. The presence of others can modulate the effects of individual behavioural traits and afford access to social information that can reduce the need for ‘risky’ asocial learning. Most studies of social effects on learning are focused on more social species; however, such factors can be important even for less-social animals, including non-grouping or facultatively social species which may still derive benefit from social conditions. Using archerfish, Toxotes chatareus, which exhibit high levels of intra-specific competition and do not show a strong preference for grouping, we explored the effect of social contexts on learning. Individually housed fish were assayed in an ‘open-field’ test and then trained to criterion in a task where fish learnt to shoot a novel cue for a food reward—with a conspecific neighbour visible either during training, outside of training or never (full, partial or no visible presence). Time to learn to shoot the novel cue differed across individuals but not across social context. This suggests that social context does not have a strong effect on learning in this non-obligatory social species; instead, it further highlights the importance that interindividual variation in behavioural traits can have on learning.
Journal Article
Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set
Natural habitats are being impacted by human pressures at an alarming rate. Monitoring these ecosystem-level changes often requires labor-intensive surveys that are unable to detect rapid or unanticipated environmental changes. Here we have developed a generalizable, data-driven solution to this challenge using ecoacoustic data. We exploited a convolutional neural network to embed soundscapes from a variety of ecosystems into a common acoustic space. In both supervised and unsupervised modes, this allowed us to accurately quantify variation in habitat quality across space and in biodiversity through time. On the scale of seconds, we learned a typical soundscape model that allowed automatic identification of anomalous sounds in playback experiments, providing a potential route for real-time automated detection of irregular environmental behavior including illegal logging and hunting. Our highly generalizable approach, and the common set of features, will enable scientists to unlock previously hidden insights from acoustic data and offers promise as a backbone technology for global collaborative autonomous ecosystem monitoring efforts.
Journal Article
DC cinematic universe : a celebration of DC at the movies
From the trailblazing 1940s movie serials that first put Batman and Superman on the silver screen to the Caped Crusader's swinging 1960s escapades and the iconic 1970s Superman, to the state-of-the-art 21st century reinventions of the Dark Knight, the Man of Steel, and Wonder Woman, this book provides an indispensable guided tour of DC cinema history. See how DC's characters, locations, costumes, and weapons have been adapted from page to screen and evolved over the decades. Witness some of the world's finest actors, such as Academy-Award winners Marlon Brando, Jack Nicholson, Christian Bale, Nicole Kidman, Joaquin Phoenix, Viola Davis, and others transform into the Super Heroes, Super-Villains, and supporting cast for their times. Go behind the scenes and discover little known facts while poring over stunning movie stills, character and set designs, and storyboards.
BOOK
Mitochondrial Network State Scales mtDNA Genetic Dynamics
Mitochondrial DNA (mtDNA) mutations cause severe congenital diseases but may also be associated with healthy aging. mtDNA is stochastically replicated and degraded, and exists within organelles which undergo dynamic fusion and fission. The role of the resulting mitochondrial networks in the time evolution of the cellular proportion of mutated mtDNA molecules (heteroplasmy), and cell-to-cell variability in heteroplasmy (heteroplasmy variance), remains incompletely understood. Heteroplasmy variance is particularly important since it modulates the number of pathological cells in a tissue. Here, we provide the first wide-reaching theoretical framework which bridges mitochondrial network and genetic states. We show that, under a range of conditions, the (genetic) rate of increase in heteroplasmy variance and de novo mutation are proportionally modulated by the (physical) fraction of unfused mitochondria, independently of the absolute fission–fusion rate. In the context of selective fusion, we show that intermediate fusion:fission ratios are optimal for the clearance of mtDNA mutants. Our findings imply that modulating network state, mitophagy rate, and copy number to slow down heteroplasmy dynamics when mean heteroplasmy is low could have therapeutic advantages for mitochondrial disease and healthy aging.
Journal Article
Birds of Australia : a photographic guide
\"Birds of Australia covers all 714 species of resident birds and regularly occuring migrants and features more than 1,100 stunning color photographs, including many photos of subspecies and plumage variations never before seen in a field guide. Detailed facing-page species accounts describe key identification features such as size, plumage, distribution, behavior and voice ... The text relies on the very latest IOC taxonomy\"--Back cover.
Book
Stochastic survival of the densest and mitochondrial DNA clonal expansion in aging
The expansion of mitochondrial DNA molecules with deletions has been associated with aging, particularly in skeletal muscle fibers; its mechanism has remained unclear for three decades. Previous accounts have assigned a replicative advantage (RA) to mitochondrial DNA containing deletion mutations, but there is also evidence that cells can selectively remove defective mitochondrial DNA. Here we present a spatial model that, without an RA, but instead through a combination of enhanced density for mutants and noise, produces a wave of expanding mutations with speeds consistent with experimental data. A standard model based on RA yields waves that are too fast. Weprovide a formula that predicts that wave speed drops with copy number, consonant with experimental data. Crucially, our model yields traveling waves of mutants even if mutants are preferentially eliminated. Additionally, we predict that mutant loads observed in single-cell experiments can be produced by de novo mutation rates that are drastically lower than previously thought for neutral models. Given this exemplar of how spatial structure (multiple linked mtDNA populations), noise, and density affect muscle cell aging, we introduce the mechanism of stochastic survival of the densest (SSD), an alternative to RA, that may underpin other evolutionary phenomena.
Journal Article