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Does a spell that deals persistent damage allow you to use the Energy Fusion metamagic feat?

No, as I explain in my answer to the question Medix2 linked in comments, when applying the same (seemingly accurate) ruling suggests that the combination does not work.

Specifically, persistent damage is “dealt by” a Condition, not the character that inflicted the Condition. By extension, the spell is not “dealing” damage in the sense that Energy Fusion implies; it would be different if blistering invective had a duration over which it did damage instead of being the Condition persistent damage.

But… this is something a GM could easily rule the other way on. It will increase the effectiveness of Energy Fusion a bit (I believe the “expected” duration on persistent damage is approximately three ticks) at the ‘cost’ of using less up-front damage. A 4th level blistering invective does 4d6 damage to 3 creatures whereas a 4th level fireball (ye olde go-to for spell damage comparison) does 8d6 to everything in a 20ft radius. It takes a second round for BI to catch up in damage assuming fireball only hit 3 targets.

However, GM’s should take care as there are other spells that trigger persistent damage, and it’s possible that, depending on group composition and enemy types/density/etc., adding sometimes 2-4+ times the bonus damage from Energy Fusion (in addition to the non-damage effects of such spells) could cause issues with spells hitting well above their weight.

❕NEWS – Mechanicville Power Station to mine bitcoin with excess energy instead of selling them | Proxies-free

According to news gathered from Finbold , Mechanicville Power Station based in New York have announced that it will no longer sell it’s excess energy but will use it in mining bitcoin.
Being asked about his stand on the environmental challenges associated with bitcoin mining , CEO Jim Besha says that they are using renewable energy and thus will not have to be bordered by that.

differential equations – WhenEvent and Energy conservation

I’m using NDSolve to do a simple Sinai billiard simulation. But the performance isn’t very good using WhenEvent to reflect the ball off the walls. Apparently the energy is not conserved. How can I use NDSolve to correctly find the solution? (Maybe there is some method it can be supplied to ensure energy conservation?)

Here is my code. The billiard table is a square with a circular pillar in the center. reflect gives the new velocity after the ball hits the pillar. However, even though I have numerically verified that the reflect function conserves energy, when NDSolve uses it in WhenEvent the energy is not conserved.

reflect(surface_, pos_, vel_, vars_ : {x, y}) := 
 Block({grad, normal},
    grad = Grad(surface, vars);
    normal = Normalize(grad //. Thread(Rule(vars, pos)));
  -(2 (normal . vel)*normal - vel)
sinaiSolver(initialData_, duration_ : 100) := 
 Block({eqns, sol, pillar},
    {{xi, yi}, {vxi, vyi}} = initialData;
    eqns = {x''(t) == 0, y''(t) == 0,
            x(0) == xi, y(0) == yi,
            x'(0) == vxi, y'(0) == vyi,
        WhenEvent(x(t)^2 + y(t)^2 - 1 == 0,
         {Derivative(1)(x)(t) -> 
       reflect(-1 + (Xi)^2 + (Zeta)^2, {x(t), 
          y(t)}, {Derivative(1)(x)(t), 
          Derivative(1)(y)(t)}, {(Xi), (Zeta)})((1)), 
      Derivative(1)(y)(t) -> 
       reflect(-1 + (Xi)^2 + (Zeta)^2, {x(t), 
          y(t)}, {Derivative(1)(x)(t), 
          Derivative(1)(y)(t)}, {(Xi), (Zeta)})((2))}
        WhenEvent(x(t) == -2, x'(t) -> -x'(t)),
        WhenEvent(x(t) == 2, x'(t) -> -x'(t)),
        WhenEvent(y(t) == -2, y'(t) -> -y'(t)),
        WhenEvent(y(t) == 2, y'(t) -> -y'(t))};
  sol = NDSolve(eqns, {x, y}, {t, 0, duration})

Here is a plot that shows energy isn’t conserved. The trajectories still look fine if you plot them, except that the particle changes speed on reflection with the pillar.

sol1 = sinaiSolver({{1, 1}, {0.345, 0.493}}, 1000);
    energy = 1/2 (x'(t)^2 + y'(t))^2;
    Plot(energy /. sol1, {t, 0, 100}, PlotRange -> All, 
  PlotTheme -> "Scientific",
    FrameLabel -> "Energy vs Time")

Energy vs Time

Greece on the path towards becoming a renewable energy hub

Greece on the path towards becoming a renewable energy hub

In order to increase well-being and prosperity, as well as ensure that current and future generations are able to enjoy a healthy environment, makes protecting the environment is imperative. Countries like Greece have numerous environmental challenges they need to address. Some key challenges include high reliance on fossil fuels, air pollution in urban areas, waste management as well as water extraction in some areas.

In line with the OECD average, Greece’s greenhouse gas emissions (per unit of GDP) have consistently declined in recent years, putting Greece on track to meet its environmental goals, towards zero net emissions. Recently, Greece’s National Energy and Climate Plan 2021–30 was announced, phasing out lignite electricity generation by 2028 and reducing carbon-intensive activities, but Public Power Company (PPC) has even more ambitious goals, closing all its lignite power plants by 2023.

Specifically, Greece’s energy mix is accelerating its shift from lignite and oil to natural gas and a variety of renewable energy sources. This is partly driven by the rapid increase in the competitiveness of renewable energy technologies. In fact, according to BNEF, sourcing power from new onshore wind or solar power is more cost-effective compared to lignite or gas. Not only that but also it has become cheaper to build a new wind or solar power plant from the ground up than to run existing lignite assets, due to decreasing renewables costs. A very important fact reflecting this situation is that according to Greenpeace, on June 8th and 9th 2020, for almost two days, no lignite energy was produced to meet the energy needs of Greece.
Renewable energy in Greece

The usage of renewable energy sources has been impressively increasing since 2009, mainly explained by a considerable increase in wind and solar photovoltaics energy production plants, playing a crucial role in decreasing CO2 emissions per unit of GDP in Greece.
Noteworthy is the fact that in 2018, renewable energy sources accounted for 13% of total energy supply and 31% of electricity generation, which is higher than the respective average proportions reported by the OECD (10% & 26%). This is proof that Greece is on the right path of reaching important milestones, as the National Energy and Climate Plan 2021–30 set out the ambitious goal of 35% of the share of renewables over gross final energy consumption by 2030.

Energy Investor Interest
Currently, there is considerable interest from investors in obtaining up to 49% of HEDNO, the sole electricity distribution network operator in Greece. But investor interest does not only come from domestic investors. It also captures the interest of foreign investors who are increasingly interested in investing in Greece and its renewable energy capabilities.

In fact, Greece’s energy transition in the power sector has the potential to attract up to $33 billion in new investments by 2050.
Of this, 92% is expected to be allocated to zero-carbon technologies. Interestingly, a forecasted $3 billion will be brought in as new investment specifically in small and utility-scale batteries between 2030–2050.

Greece towards a renewable energy hub
To sum up, Greece has high competitive advantages attracting interest in renewable energy projects. The opportunities are endless for setting up renewable energy parks sourcing sustainable energy from wind, solar, and other renewable sources.


❕NEWS – New York Power Plant To Mine Bitcoin Using Excess Energy | Proxies-free

Earnings Disclaimer:  All the posts published herein are merely based on individual views, and they do not expressly or by implications represent those of Proxies-free or its owner. It is hereby made clear that Proxies-free does not endorse, support, adopt or vouch any views, programs and/or business opportunities posted herein. Proxies-free also does not give and/or offer any investment advice to any members and/or it’s readers. All members and readers are advised to independently consult their own consultants, lawyers and/or families before making any investment and/or business decisions. This forum is merely a place for general discussions. It is hereby agreed by all members and/or readers that Proxies-free is in no way responsible and/or liable for any damages and/or losses suffered by anyone of you.

❕NEWS – El Salvador offers discounted, green energy for crypto miners | Proxies-free

During the last weeks the president of El Salvador, Nayib Bukele has been set the spot light to the small central american country. Not just by legalizing Bitcoin as national accepted currency or creating a bitcoin trust to stabilize convertion of crypto to usd.
Today, Bukele announced that he adviced the national energy provider to create new and affordable energy contracts specially designed for professional miner. In his Tweet (

) he stated that this energy will be 100% created by geothermic power, which currently could provide 95MWh – but with a big growth potential in the future. Since the power comes from a volcano, coined quickly the term magic internet volcano money.

This is a big move to attract international crypto industry to make El Salvador to the new crypto heaven. Here you can see how progressive governments can adapt game changing innovations and provide the foundation for national growth and wealth – instead of suppressing everything that is not controllable! Well done Mr. President Bukele! I am very confident that this is just the beginning of a bright future of El Salvador!


testing – Fuzzing research paper: Can’t understand assigning more energy concept in Lookahead analysis algorithm

I am reading the paper(1) at: https://arxiv.org/abs/1905.07147 ( Targeted greybox fuzzing with lookahead analysis)
I am trying to understand lookahead analysis page 5 out of 12, in order to compare it with greybox fuzzing. They have provided the algorithm LookAhead i.e. algoithm2 on page 6 which returns twice: (1) once it returns with hash of Pi_pre along with SPs (split points) and (2) in other case it returns with hash of Pi along with SPs. I thing it is invoked using the invocation named as LookaheadAnalyze(..) in Algorithm1:

LID, SPs ←LookaheadAnalyze(prog, input′, T ).

The returned computer hash is stored in LID. It further says that lookahead analysis assigns more energy to the inputs whose LID is rare as shown below in the following text:

In the above definition, selected(I ) denotes the number of times that I was selected for fuzzing (line 3 in Alg. 1), and K is a constant (1024 in our implementation). Intuitively, our power schedule assigns little energy to inputs whose LID is not rare and whose no-targetahead prefix does not contain any rare split points. Otherwise, it assigns much more energy, the amount of which depends on how often the input has been selected for fuzzing before.

I can’t understand where it assigns more energy? It is incrementing the energy but it is done outside the if-block in Algorithm 1.

Somebody please guide how LookAhead Analysis is assignig more energy?


(1) Valentin Wustholz and M. Christakis, Targeted Greybox Fuzzing with Static Lookahead Analysis, 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE)},2020.

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This post has been edited by MarcoGuz: Today, 04:58 PM