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        <title>home - changed quote to old changing world</title>
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        <description>Run, only once, the following code to install JuMP language and a couple of open source solvers:



Pkg.update()                        
Pkg.add(&quot;JuMP&quot;)           # asdasd          
Pkg.add(&quot;GLPKMathProgInterface&quot;)    
Pkg.add(&quot;Ipopt&quot;)                   
Pkg.add(&quot;DataFrames&quot;)</description>
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        <title>publications</title>
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        <description>ORCID - Google Scholar

Pubblicazioni accademiche - Academic publication list

	*  Lorang, E., Lobianco, A. &amp; Delacote, P. (2023), “Increasing Paper and Cardboard Recycling: Impacts on the Forest Sector and Carbon Emissions”, Environ Model Assess, 28, 189–200  

	*  Riviere, M., Pimont, F., Delacote, P., Caurla, S., Ruffault, J., Lobianco, A., et al., (2022),</description>
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        <description>Antonello Lobianco&#039;s general Curriculum Vitae

 Note: latest version of this CV can be retrieved from &lt;https://lobianco.org/antonello/academic/curriculum&gt; 

Research engineer in social sciences ⇨ environmental economics applied to forests ⇨ carbon sequestration and climate change

	*  List of academic publications:</description>
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        <title>rsync-python-script - Updated to Python3 (just print function). Tested working in Ubuntu 22.04</title>
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        <description>Rsync Python script

A Python script that wraps rsync to have rolling backups for the latest n days, deleting the old ones. Nice because in this approach rsync uses hard links to build incremental backups that appear as full backups.

Of course it needs to be run under cron.</description>
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        <dc:creator>antonello (antonello@undisclosed.example.com)</dc:creator>
        <title>0203_jump_for_gams_users - [Further help] </title>
        <link>https://lobianco.org/antonello/personal/blog/2017/0203_jump_for_gams_users?rev=1703241572&amp;do=diff</link>
        <description>A JuMP tutorial for GAMS users

JuMP (Julia for Mathematical Optimization) is an Algebraic Modelling Language (AML) that allows to write optimisation problems using a concise mathematical formulation, acting as interface to the specific solver engine API</description>
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