Burstiness in Computer Science – A Concept Found In Many Domains

There is a term which is used in computer science which is somewhat unique, it’s called “Burstiness” and the other day I was having a conversation with an acquaintance, Marilee, about this information technology concept. It could be said to be similar to looking at a human brain which lights up on the fMRI scanner, all at once, where information is sent simultaneously all over. We decided to take this conversation to a higher level and relate this concept of burstiness to other domain, so let’s talk shall we?Right so, burstiness is a cool term and as Marilee noted it might have something to do with how materials disintegrate, come apart or in human applications often fail. YES, it would have something to do with how things form or fail, let me explain why I believe this.Everything has a frequency, when that frequency is optimized synthesis is at its strongest, when that frequency is opposite, the shared pairs (quantum concept of the material science, academics might call it something different) resonate together at that “wrong” frequency for molecule formation, and they all break-off, rip, or come apart together, or at least enough of them to have the total component fail due to tears or multiple points of unhooked or weakened molecules.You could indeed, use the same strategy to pop fat cells in the body, or maybe, attack a virus or type of bacteria. Or use a frequency weapon device to poke holes in rock using a powered laser delivery, create earthquakes, vaporize things like Star Trek Fazers on high setting, use cell towers to improve human health while everyone sleeps by using frequency cancellation to get to the perfect resonance, blow up a killer inbound asteroid, or recycle carbon nanotube, or graphene materials into something else.That’s my theory on WHY, this makes sense to me. I have other thoughts on this of course also, as I see it all as one. It’s just cross-domaining systems thinking, no things aren’t always that readily studied or correlating but sure the hell puts us into the right frame of mind to ask questions and consider inquiring into additional research – in this case; why things fail.When putting metal alloys together (metallurgy) using proper heat to create hardness, strength or the right attributes is partly getting it to the right resonance to properly synthesize, and we can do this by controlling the process, just as we can create a snowflake doing the same, with pressure, temperature, and frequency. I don’t think or see any of this as rocket science, it’s just the formation of molecules, organic or inorganic or in-between.Anyway, boiling water kind of works like this too – you see one bubble here, one there, then a bunch all over the place, then like a fire-cracker line, it just ignites – burstiness – well, sure I see that term everywhere, don’t you? It’s part of nature. Of course it will work with information too. And molecules, DNA, RNA, it’s all really information, same with a seed – it’s just a computer program in a thumb drive (flash drive) which bursts onto the hard drive from its zipped program.Now then, the visual cortex does use bursting to identify an object while the retina focuses and retinal jitter helps to deliver the information to synthesize extremely quickly. Things which make us fear, probably set off “alarm bells” in our heads in a similar way. I bet adrenal glands while the body biorythms are maxing out does the same thing and we perceive this as “slow-mo” effect, or hyper acuity during that time, the brain is firing on ALL CYLINDERS, but it won’t last long, the brain will run out of chemicals and power in this state – unless these movements have been rendered to muscle memory or reflex, or it becomes a thing that your mind can do without thinking due to all the previous practice. More theory, as you know I have theories on everything.We might be able to use burstiness to frequency charge the cells, therefore long-term space passengers don’t need to eat to get energy to their bodies, they’d still have to eat sometimes to guarantee those systems still work, but they could be tuned up at the cellular level for immune system + given energy, which is what food does, when we convert it.It would seem to me that we could take a stem cell, hit it with a given frequency and make it more likely to take up the proper form even alongside cancer cells, because we could put forth the proper frequency of the healthy cells we want, bursting it’s seed like strategy onto the scene.Well, you have just witnessed a burstiness of brain activity, where this simple term had triggered thoughts and idea across my long-term memory, bursting this new information across those domains, so you can see how this works. I hope you have enjoyed today’s philosophical science essay – the goal is to make you think, I sincerely hope I have succeeded in my mission – you be the judge.

Linear Programming in Applied Mathematics and Computer Science

Algorithms are special formulas, or applications of a particular theorem, that might be converted for different variables. Considering the algorithmic rationale, the same path can lead various times, under different circumstances, to a common goal. These principles in mathematics have been esteemed in computer science in order to provide software applications oriented toward to fast and efficient data conversion. By data conversion, we mean any information that can be efficaciously processed in order to reach a pre-established goal. So, the major change occurred the moment when theorems in mathematics were successfully translated into advanced application, using friendly and easy to use interfaces. Actually, any software application, having been implemented to perform a certain rationale-based task, is an advanced representation of a pattern used in mathematics or in economy.For instance, linear programming algorithms have been successfully converted into extensive application providing profitability solutions for various demands. To put it differently, algorithms are explored as cutting-edge solutions in computer science, for instance linear programming examples have a totally different value in computer science. As a matter of fact, these examples are optimized models, converted into sophisticated platforms and interfaces; A computerized algorithm has the same starting point as a mathematics model, yet, the differences are noticeable when we compare results and efficiency parameters. By means of a linear programming software application, users can reduce a very demanding and meticulous process based upon long calculation.The benefits of linear programming solutions are unquestionable. Yet the implementation a software application relying on linear programming models has assigned to algorithmic method a wider understanding. And by wider availability, we mean the fact that the simplex method or the converted method has been aligned to users who need the final result of the model, and are less interested in the way an automatic system has completed the rationale. The formula, which can show them the way to optimal profit, is the only thing that matters. Furthermore, linear programming solver takes over the most difficult part of the process, making the LP optimization an easy-to-access solution. Along with the easy-access feature, a computer-based solution applying the simplex method or the revised method can be customized for different activity domains. Even though transportation and logistics, engineering, or computer sciences make use of the same algorithm, the functioning principle is somehow adjusted to the specific features of the realm, considering the fact that profit is differently approached by different people.