Preprints (not yet peer-reviewed)

Fossils from the Lucas formation of South Western Ontario reveal a large specimen of the Rugosa Siphonophrentis gigantea (Lesueur, 1821), showing a considerable amount of external detail. The fossil was found outside of the quarry where it originated, the Lafarge...

["Evolutionary Studies","Marine Biology","Paleontology","Aquatic and Marine Chemistry"]
doi:10.7287/peerj.preprints.27282v1
84 downloads
208 views

Open-ended evolution researchers seek to create systems that continually produce new evolutionary outcomes, attempting to reflect the power and diversity of evolution in nature. The specific metrics used (novelty, complexity, diversity, etc) vary by researcher,...

["Computational Biology","Evolutionary Studies"]
doi:10.7287/peerj.preprints.27246v2
71 downloads
82 views

Building more open-ended evolutionary systems can simultaneously advance our understanding of biology, artificial life, and evolutionary computation. In order to do so, however, we need a way to determine when we are moving closer to this goal. We propose a set...

["Computational Biology","Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Scientific Computing and Simulation"]
doi:10.7287/peerj.preprints.27249v3
13 downloads
31 views

The emergence of new replicating entities from the union of simpler entities represent some of the most profound events in natural evolutionary history. Such transitions in individuality are essential to the evolution of the most complex forms of life. As such,...

["Agents and Multi-Agent Systems"]
doi:10.7287/peerj.preprints.27275v2

Background. Despite its wide distribution worldwide, only 4.6% of temperate grasslands are included within systems of protected areas. In Argentina, this situation is even more alarming: only 1.05% is protected. The study area (central area of the southern Salado...

["Conservation Biology","Ecology"]
doi:10.7287/peerj.preprints.27281v1
7 downloads
14 views

Machine learning is a field of study that uses computational and statistical techniques to enable computers to learn. When machine learning is applied, it functions as an instrument that can solve problems or expand knowledge about the surrounding world. Increasingly,...

["Artificial Intelligence","Computer Vision","Data Mining and Machine Learning","Data Science","Multimedia"]
doi:10.7287/peerj.preprints.27280v1
72 downloads
388 views

Background. Understanding genetic diversity and population structure is critically important for the conservation and management of endangered species. These factors are particularly relevant for species with small populations and/or restricted ranges, such as...

["Conservation Biology","Evolutionary Studies","Genetics","Zoology"]
doi:10.7287/peerj.preprints.27038v2
57 downloads
251 views

Speciation processes have long been inferred from phylogenetic, phylogeographic, and biogeographic pattern-driven perspectives. Now much current speciation research is attempting to more directly describe the underlying processes and mechanisms of divergence leading...

["Biodiversity","Biogeography","Evolutionary Studies","Genetics","Population Biology"]
doi:10.7287/peerj.preprints.27279v1
9 downloads
36 views

Paternity uncertainty has proven to be a robust ultimate hypothesis for predicting the higher investment in grandchildren observed among maternal grandparents compared to that of the paternal grandparents. Yet, the proximate mechanisms for generating such preferred...

["Evolutionary Studies","Psychiatry and Psychology"]
doi:10.7287/peerj.preprints.27278v1
67 downloads
50 views

Objectives: Dose-response meta-analysis (DRMA) is widely employed to establishing the potential dose-response relationship between continuous exposures and disease outcomes. However, no method is readily available for exploring the relation between a discrete exposure...

["Epidemiology","Evidence Based Medicine","Internal Medicine","Public Health","Statistics"]
doi:10.7287/peerj.preprints.27277v1
23 downloads
56 views

The 21st century will undeniably represent a major turn in the development of human societies, as Earth’s limiting resources can no longer support the current pace of material consumption (supplemental file S1). In this context, Ripple et al. (2017) identified...

["Agricultural Science","Biodiversity","Ethical Issues","Natural Resource Management","Environmental Impacts"]
doi:10.7287/peerj.preprints.27276v1
21 downloads
80 views

We aimed to examine mechanistically the observed foraging differences across two honey bee, Apis mellifera, subspecies using the Proboscis Extension Response (PER) assay. Specifically, we compared differences in appetitive reversal learning ability between honey...

["Animal Behavior","Ecology","Entomology","Evolutionary Studies"]
doi:10.7287/peerj.preprints.27274v1
18 downloads
74 views

Amphibians are the most vulnerable vertebrates to biodiversity loss mediated by habitat destruction, climate change and diseases. Informed conservation management requires to improve the taxonomy of anurans to assess reliably the species´ geographic range. In this...

["Biodiversity","Evolutionary Studies","Taxonomy","Zoology"]
doi:10.7287/peerj.preprints.27273v1
31 downloads
63 views

Describing cell morphology is a tricky task, prone to misinterpretation due to subjective nature of the human observer and his vocabulary limitations. Consequently, these limitations actuate prevalence of non-formalized, statistically unverifiable language use....

["Bioinformatics","Cell Biology","Computational Biology","Marine Biology","Mathematical Biology"]
doi:10.7287/peerj.preprints.27271v2
1,679 downloads
4,678 views

Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to biased effect sizes. Nonetheless, considerable non-replication is...

["Science and Medical Education","Science Policy","Statistics","Data Science"]
doi:10.7287/peerj.preprints.26857v3
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