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    <title>nanobiology</title>
    <link>http://popups.lib.uliege.be/1373-5411/index.php?id=1333</link>
    <description>Index terms</description>
    <language>fr</language>
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      <title>Nanophysics and Nanoengineering for Synthetic Biology</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3884</link>
      <description>The plans, history and state-of-the-art concerning Synthetic Biology are presented. Its first general formulation dates back to the 70s, and its development is now increasing, with recent great successes digging deeply into biosystem structure-function, with near- future plans and the present capital investments. Ecological and ethical problems have been raised that might delay such plans, and in spite of its successes, Synthetic Biology and its branch Synthetic Life that aims at recreating life itself, both as an extreme engineering effort whose enabling technologies stem from biosystem Nanophysics and Nanoengineering, lack the background for realization of their most advanced purposes: attaining the ability to nanoengineer biological members as genes, genomes, subcellular members, cells and tissues, up to recreating life in the lab through ab initio processes. </description>
      <pubDate>Tue, 01 Oct 2024 10:17:46 +0200</pubDate>
      <lastBuildDate>Tue, 01 Oct 2024 10:17:55 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3884</guid>
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      <title>Computability and Insolvability of Simulation Processes for Anticipatory Behaviour in Evolutionary Systems</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3855</link>
      <description>A biophysically tenable description based on the present understanding of evolutionary systems is discussed, which relies on a hierarchical dynamical approach to an evolutionary chain of increasing abstraction levels through compression of information by n-dimensional attractors of chaotic dynamics. The capability of simulating the environment and other evolutionary systems through anticipatory behaviour so attained cannot be described fully through Thermodynamics, while the so-called &quot;Great Puzzle of Theoretical Biology&quot; could be solved through a quantum physical approach. Computability and insolvability problems would be overcome through an energy-free geometrized and topological approach stemming from an analysis of relationships between the logical space and the phase space of an evolutionary system. </description>
      <pubDate>Mon, 30 Sep 2024 14:19:09 +0200</pubDate>
      <lastBuildDate>Mon, 30 Sep 2024 14:19:21 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3855</guid>
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      <title>Mesophysical Anticipatory Cell Behavior - Enroute to Quantum and Classical Nanobiology</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=1332</link>
      <description>Recent experiments showed that genomes in their evolutionary changes follow real molecular strategies leading to biological evolution through mutations that are not small, rare and random as is taught by Darwinian theory. This mesoscopic anticipatory behavior is here interpreted as evolutionary classical/quantum chaos mesoscopic information processing and through the coupling of electronic and mechanical degrees of freedom giving rise to the syntax &amp;lt;=&amp;gt; semantics &amp;lt;=&amp;gt; pragmatics closed loop as a dissipative evolutionary chain capable of overcoming logic self-reference paradoxes just through dissipation, and embodying the notion of biological information as inseparable from biological intelligence. A Quantum Field Theory of bio-mesoscopic subcellular structures as &quot;extended objects&quot; is proposed, so as to link micro- and mesophysical subcellular processes to the vacuum structure and fluctuations. </description>
      <pubDate>Wed, 10 Jul 2024 10:54:57 +0200</pubDate>
      <lastBuildDate>Wed, 10 Jul 2024 10:55:08 +0200</lastBuildDate>
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