linkedin post 2021-09-18 05:01:36

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THE OUTLIERS. “The menagerie of microbiology also includes artificially simplified versions of natural organisms, specific RNA viral particles or viroids, viral agents named satellites, viruses of viruses that go by the name of virophages, autonomous DNA strands or plasmids, prions, and still others.” https://link.springer.com/article/10.1007/s11229-019-02356-w View in LinkedIn
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linkedin post 2021-09-19 04:32:57

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THE HARD TO CLASSIFY. “From spontaneously self-reorganizing crystals to mega-viruses to drastically reduced micro-endosymbionts, all these microscopic entities that we mentioned in the introduction constitute a set of entities that are hard to categorize as either truly living or truly non-living.” https://link.springer.com/article/10.1007/s11229-019-02356-w View in LinkedIn
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linkedin post 2021-09-19 04:31:57

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DEFINITION OF LIFE. “However the real difficulty lays elsewhere: in the surprising diversity of borderline cases—giant viruses, sterile organisms, extreme microsymbionts, etc.—and disputes that follow their categorization as alive or not.” https://link.springer.com/article/10.1007/s11229-019-02356-w View in LinkedIn
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linkedin post 2021-09-19 04:31:16

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DEGREES OF LIFELESSNESS. “Building on these dimensions-related differences, we also computed a single value of overall lifeness for each more-or-less-alive entity, thereby providing an empirically-founded quantification of degrees of lifeness.” https://link.springer.com/article/10.1007/s11229-019-02356-w View in LinkedIn
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linkedin post 2021-09-19 04:30:06

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PROPERTY CLUSTERS. “They also show how different degrees of overall lifeness can be achieved in different ways. This multidimensional way of mapping borderline entities exemplifies the need of reformulating questions of the type “Is X alive?” into questions of the type “What is the lifeness of X?”. https://link.springer.com/article/10.1007/s11229-019-02356-w View in LinkedIn
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linkedin post 2021-09-19 04:29:01

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ANALYSIS. “We hence defined an 8-dimensional “lifeness space” on the basis of these property clusters and used semantic proximity as a metric for assessing the relative positioning of the target entities along these dimensions. These findings corroborate the intuition that different entities perform differently along each lifeness dimension.” https://link.springer.com/article/10.1007/s11229-019-02356-w View in LinkedIn
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