Discover and read the best of Twitter Threads about #footprint

Most recents (7)

"Our results showed that (i) the #biodiversity loss per citizen shows large variations among countries, with higher values when per-capita income increases; (ii) the share of biodiversity losses due to GHG emissions in the ...…
... #biodiversity #footprint increases with income; (iii) food consumption is the most important driver of biodiversity loss in most of the countries and regions, with a global average of 40%; ...
... (iv) more than 50% of the #biodiversity loss associated with consumption in developed economies occurs outside their territorial boundaries; and (v) the biodiversity footprint per dollar consumed is lower for wealthier countries.
Read 5 tweets
"We find that, between 2009 and 2013, #tourism’s global #carbon #footprint has increased from 3.9 to 4.5 GtCO2e, four times more than previously estimated, accounting for about 8% of global greenhouse gas #emissions."…
"The United States tops the carbon #footprint ranking (Fig. 1,top left) under both DBA (1,060 MtCO2e) and RBA (909 MtCO2e) accounting perspectives, followed by China (528/561 MtCO2e), Germany (305/329 MtCO2e) and India (268/240 MtCO2e)."
"The majority of these carbon #footprints are caused by domestic travel."
Read 7 tweets
"We found that in total 83% of total regional species loss (4747 species) is incurred due to land use devoted for domestic consumption whereas 17% due to export production (a total of 969 species)."… #FoodSystems #BiodiversityCrisis #WorldSystem
"Fig. 1c shows that imports into the USA&China embody highest species lost. It is interesting to see that even countries with smaller populations such as Japan, Germany, South Korea,...—all cause high biodiversity loss abroad owing to their high per capita consumption and import"
".... For example, total German food consumption was estimated to result in 46 species lost, of which 43 are from imported food items."
Read 4 tweets
#Highlights2021 for me: our #survey on efficient processing of #sparse and compressed tensors of #ML/#DNN models on #hardware accelerators published in @ProceedingsIEEE.
RT/sharing appreciated. 🧵
Context: Tensors of ML/DNN are compressed by leveraging #sparsity, #quantization, shape reduction. We summarize several such sources of sparsity & compression (§3). Sparsity is induced in structure while pruning & it is unstructured inherently for various applications or sources. Various sources induce stru...Common structures of sparsi...
Likewise, leveraging value similarity or approximate operations could yield irregularity in processing. Also, techniques for size-reduction make tensors asymmetric-shaped. Hence, special mechanisms can be required for efficient processing of sparse and irregular computations.
Read 12 tweets
We have now released an important Orderflow Indicator called the Bar Statistics

A Bar Statistics provides a tabular view of the important Orderflow metrics at a candle level in a time series format while each of the footprint provides a cohort view of the similiar metrics Image
To activate this particular indicator, please choose Bar Statistics from Inidcators menu on the top bar under Orderflow section

#Orderflow #Footprint #Cluster #NSE Image
The Bar Statistics indicator in GoCharting is fully loaded with 21 Orderflow metrics to choose from (no kidding!!!)

Will try our best to explain each one of them. We may go crazy in the future and add more to this list Image
Read 4 tweets
Finished a great #zoomclass in the Sustainability and Environmental Change Minor here at @VUamsterdam today!What was supposed to be a 30min feedback session, turned into an 1.5 hour of in depth questions and great recommendations on how we can decrease our land footprint.
The students have shown good knowledge on what drives land use change, but were shocked at the impact of beef and dairy...especially cheese always disappoints them - particularly the Dutch students :) #justdutchthings
I was positively surprised on their willingness to change their diets to decrease their land, carbon and water footprint.And how disappointed they were in EU governments by not informing the citizens on the negative effects of the meat and dairy industry (also beyond EU borders)
Read 4 tweets
Bonne illustration d'un travail d' #OSINT sur le #nomdedomaine pour identifier un réseau.

L'investigation provient de @fs0c131y suite à un tweet du député E.Bothorel.

Des arnaques en ligne surfent sur le #coronavirus

Qui gère ces sites ?

On constate depuis le début de la crise des vagues de dépôts de #nomdedomaine en lien avec le coronavirus (la plupart en vente). La nouveauté, c'est la combinaison d'une forte de demande sur certains produits (masque/gel) et du #dropshipping
Partant des premiers sites signalés (dont, @fs0c131y a enquêté autour des #NDD

L'objectif est de :
1-récupérer un max d'infos et #footprint
2-identifier les #patterns
3-faire du reverse sur tout ça
Read 12 tweets

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