Here you find all contributions made by external authors to JUnQ. This includes peer-reviewed articles and editorial board reviewed open questions.

Anton Bogomolov[1] is a data scientist with PhD in Physics, currently working in IoT branch. He is passionate for artificial intelligence with ten years of experience in automated data analysis and machine learning.

[1]abogomolov86@gmail.com

JUnQ: The everlasting technological progress is aimed to fulfill many needs of humans: most of them are physical, informational and commercial. In particular, robots were created to perform tasks that were too dangerous for humans or that humans could not or did not want to do. But what do we need intelligent machines for and what is implied by “Artificial Intelligence” (AI)?

Anton Bogomolov: The answer was already said – we need AI to make our life simpler, i.e. to simplify some routine work that humans have to do. Generally, we are heading towards automation, and in the ideal case, we want to automize everything, every kind of work. So far, the processes we are capable of automizing have been prioritized.

Now, what is understood by the term “AI”? Over the course of this interview we will go deeper in the discussion, so let’s start with a fairly broad definition: AI is something that is able to accomplish certain tasks with the help of self-learning.

JUnQ: Does it imply that AI is not meant to create anything, like art or music?

Anton Bogomolov: There is a number of definitions of AI. Indeed, the term “intelligence” implies that it can do creative work as well. It is not a simple calculator. You don’t just tell it what you want it to calculate, and then it does exactly what has been asked. It does something more complicated and, thus, it also involves some learning experience. In this context, the creative work does not necessarily mean being an artist or a musician, or a composer. A chatbot, as an example of an AI feature, is also a kind of creative work, because it is required to react accordingly or ask appropriate questions, in other words to be engaged into a conversation as a human would be i.e. express creativity.

Generally, yes, AI can generate art. For example, “Deep Dream”1 was popular a few years back. This algorithm uses AI to generate the dream-like appearance of the uploaded images. Another one is “Neural style transfer”2 which allows one to compose an image in the style of another image. Should one ever want to paint like Van Gogh or Picasso, this can be easily done, using this algorithm. There is also AI-composed music already creeping into the background of games, film, and media. With AI it is now possible to create music in different genres just at the push of a button.

JUnQ: In the news or podcasts, the term “machine learning” often seems to come together with AI. What is, simply put, machine learning and how does it relate to AI?

Anton Bogomolov: As I mentioned before there are many definitions of AI. In simple words, AI is a broader term than the machine learning (ML), i.e. AI includes ML. Being sort of an advanced algorithm, AI achieves specific goals by means of ML, at the same time it is able to adapt to its environment, just like humans. ML is also an algorithm, but a simpler one, with the key feature – the ability to learn (thus the name). It is not meant to achieve a global goal, its goal is to eventually enable programs to automatically improve through experience, without the programmer having to change the code. ML relies on working with data sets, that one needs to input first. It then examines and analyses the data to find common patterns, so that eventually it becomes possible to make experience-driven predictions or decisions.

JUnQ: So what it means is that AI does not exist without ML?

Anton Bogomolov: Right. Machine learning is a subset of AI, more like a tool to achieve AI. One example might be the first chatbots from the 90s. They had hardcoded “intelligence”, i.e hardcoded answers to possible questions. If such bot sees certain keywords it outputs accordingly relevant keywords. These did not have machine learning. But the intelligence of these was doubtful since the algorithm did not adapt. And as we discussed previously the key asset of AI is the ability to adapt.

JUnQ: Since we are on this page, how can one tell the difference between the AI system and a more “conventional” program?

Anton Bogomolov: There are “intelligence” tests for AI, among which the most renown one is the Turing Test.3 But this is more to test whether or not a system is capable of thinking like a human being. However, no AI technology today has passed the Turing test, i.e. that has shown to be convincingly intelligent and able to think. So, this is the main goal of this AI branch – we want to create a machine that will be indistinguishable from a human, in particular, that will be self-aware and act somewhat mindfully. In the end, such a machine will be able to pass the Turing test. Once again, so far, they do not exist. Self-awareness tuned out to be tough to realize.

Now, back to what was asked. I believe, no one is interested in differentiating AI from a mindless linear algorithm. Because as long as the desired goal is achieved no one cares what type of algorithm was used for it.

JUnQ: AI is no longer a futuristic concept, as some may naively think. Can you name some examples where is AI being used already? Are there any AI applications used in the everyday life of ordinary people?

Anton Bogomolov: The most straightforward example is our smartphones. The more recent ones can recognize the owner’s face. This is known to use neural networks. Also, in smartphones, there is Google assistant. Spoken inquiries are transferred to a server where neural network-based algorithms convert them to text, and which is then processed to deliver the relevant information. These are the simplest examples. We all watch Youtube where based on one’s watch history the system suggests what else one might be interested in. These AI-based recommendation engines now seem to know us to an uncanny degree.

If we now go further from everyday life, I would say AI is used pretty much in every field. In finance – there are already automatic trading robots. Some use AI for analysing financial markets to generate profitable trading strategies or make market predictions.

Autonomous driving has become very popular recently. There are even toys for children that make use of a variety of AI and ML technologies, including voice and image recognition, to identify the child and other people around, based on their voices and appearance. This all is owing to the computation power we currently have, which has advanced in the last years.

AI has found its application in medicine as well. As AI demonstrated remarkable progress in image-recognition tasks it is now widely used in medical radiology and computer tomography. One example is that there are neural networks that are trained to analyze tumours and do it as well as the top-class specialists in the field. Just as radiologists are trained to identify abnormalities based on changes in imaging intensities or the appearance of unusual patterns, AI can automatically find these features, and many others, based on its experience from the previous radiographic images, coupled with data on clinical outcomes. This also yields a more quantitative outcome, while radiologists perform only a quantitative assessment.4

JUnQ: As AI develops further is it going to make human jobs obsolete? And what will people be doing if there is nothing else to do?

Anton Bogomolov: Ideally, this is what we aim for – to have everything automized. But this can be achieved, in my opinion, only when so-called artificial general intelligence is realized. This will be a machine capable of experiencing consciousness and think autonomously and thus will be able to accomplish any intellectual task that a human being can.

What will happen to humans after all? There is a concept of universal basic income. The idea is that the robot replacing you is working on your behalf and you are given an income sufficient to meet basic needs, with zero conditions on that income. Because in the end the job is being done and the resources are being produced while you are free for other pursuits.

There has been a lot of research interest in this regard. Back in the 60’s, there was a researcher, John Bumpass Calhoun, who reported on an experiment with rats, the experiment is also known as “Universe 25”. The researchers provided rats with unlimited resources, such as water and food. Besides, they eliminated the danger otherwise coming from nature, like predators, climate, etc. Thus, the rats were said to be in “rat utopia”. At first, the population peaked but shortly after it started to exhibit a variety of abnormal, often destructive behaviours. After some time of the experiment, the rats became too lazy to reproduce and the population was on its way to extinction. There is, of course, the controversy over the implications of the experiment but it can be perceived as one of the possible scenarios of the future.

JUnQ: What about the programming jobs? And scientists?

Anton Bogomolov: Well, first we automize what we can do – so far, the simplest work. AI is now partly replacing the jobs of translators and customer service work. The next in line are self-driving cars that will automize the entire transportation industry, bus, and taxi drivers and so on. But programming jobs are of a different kind, they are creative. Programs that develop other programs exist already, but they are rather limited in what they can do.

Eventually, all jobs will be replaced. Programming jobs will be among the last ones though. Just as other creative jobs, including scientists.

One day we will have a super-intelligent machine, that develops further programs similar to itself at less expense and much faster compared to when supervised by humans. At some point we might not be able to follow its advances anymore and here comes the term “technological singularity”. This is believed to occur when AI starts discovering new science at enormous rates while always learning and evolving on top of it uncontrollably from human’s side.

JUnQ: Is the “singularity” inevitable?

Anton Bogomolov: There is an everlasting argument whether at all it is possible to realize a self-aware AI, that will act mindfully, much like a human. Therefore, depending on “yes” or “no” there will be a technological singularity or not. It can as well occur for other reasons, it is just that among others AI is more likely to bring us to the technological singularity.

On the other hand, it is not proven that such AI can ever be created, to be able to run autonomously and replace all of us. In this case, there will be no AI-induced singularity.

So, this is now a really hot topic in the community.

JUnQ: Does it mean that self-awareness is prerequisite for a possible singularity to occur and we are not yet passed the point of no return?

Anton Bogomolov: Right. The algorithms that exist now and are known to beat the world-class champions in chess and Go are harmless. They are just trained extraordinary well on one particular subject, to achieve a well-defined goal. They are not able to think outside of the box, like “what else is there that I could do”.

Once we create a machine that will be able to think this way, to exhibit human-level consciousness, it is expected to bring us to the singularity. Because it will be able to operate and develop without any supervision. All existing AI technologies do develop themselves but only to a certain degree, they do not have this freedom yet.

JUnQ: Speaking about self-awareness. For example, Sophia – the social humanoid robot developed by Hanson Robotics – realizes itself (herself) as being a programmed female robot. Does it mean that she is self-aware? How did they manage to program “her” self-realization?

Anton Bogomolov: As far as I understand she is programmed to answer this way. If there comes a question about what she thinks she is, her answer will be according to what has been built in her program. Most likely she was trained on thousands of real dialogs among people about their self-awareness. Like other AI systems, she also has machine learning that, if you feed it with enough data, will enable her to learn how to answer and how to behave, as people would.

Sophia communicates very well on a topic known in advance. Because in this case she can get trained in advance: they provide her with enough information about a given topic to get trained. Then she is able to have a sensible conversation because she has the statistics on what is typically answered when. Nevertheless, it is not as simple as when you say X, she replies Y. Thanks to machine learning what she says is a result of rather complicated non-linear connections.

I did not have a chance to speak with her personally though, but I think she is certainly not self-aware. Otherwise, the singularity would have been just around the corner by now. If she had a human-level consciousness, there would be nothing that she would need people for. She would be able to program herself to increase her memory. In just a few days she would reach the level of intelligence of all the people on Earth. In a few more days we would not be able to comprehend what level of intelligence she would have – again the exponential progress.

So, there is nothing we should worry about. She is still just a robot – more about illusion than intelligence. The shocking effect is also due to the fact that she looks like a human, has emotions and facial expressions. This unique combination of her features might make us a bit alert. And for sure Sophia is a great representation of all the advances of AI technology.

In fact, to able to realize human-level AI we essentially need to model a human’s brain. The human brain contains around 10 neurons. On the other hand, functional neural networks have in the order of tens of millions of neurons. These four orders of magnitude difference are sizeable. Moreover, it also takes quite some time to train a system with a large number of neurons. At the end of the day, we do not yet have the capacity to realize a human-level AI.

JUnQ: In case something goes wrong, will we able to “unplug” the machine. Do autonomous AI systems exist yet?

Autonomous systems do exist. Think of a toy-dog, that we have discussed already, or a vacuum cleaner, they are programmed to charge when needed. These are completely autonomous as long as the power source is available. Military branch sure has got some as well. I can imagine an armed flying drone, self-charging, and self-rechargeable.

But the existing autonomous AI systems are not a threat to humans. Despite having all the advantages of machine learning they follow a defined program to accomplish a specific task. It can be the best in recognizing people’s faces, shooting targets or avoiding bullets. But it is still a mindless machine, that we can destroy, or fool or at least hide all the power stations from it.

As long as any of these do not have human-level intelligence, as long as they are not smarter than us, they should not be considered as a potential threat.

JUnQ: So reaching human-level intelligence would be the point from which on AI can potentially live without us.

Anton Bogomolov: Correct. There is an opinion that biological life is just a means to create an electronic life. In other words, some believe that this is our mission, to give birth to an electronic conscious creature, surpassing our capacity, that will develop much faster than humans. In some sense, it is similar to the early times of our planet. Life on Earth began relatively early. But the first living creatures – unicellular organisms – were progressing very slowly, until the multicellular organism occurred, which boosted the progress tremendously. And the progress always seems to be exponential. Thus, the idea of this theory is that we create something to keep up to this exponential progress. And if we look at it globally, like in the scale of the Universe, if this should ever happen that AI takes over the world, it would make sense. Because AI would go further exploring the Universe much faster than we would. Thus, from the point of view of global progress, it would be more advantageous.

JUnQ: Now, when you put it this way the technological singularity does not sound so frustrating anymore. Are you optimistic overall? Will we make it to the end of the 21st century?

Anton Bogomolov: To me, it feels great to witness the progress and to be a part of it. But we will see how it goes. We live within a self-organized system, where everything has got a direction to go. Even though humans are all independent creatures, we still obey the same laws of synergy, we self-organize as well, we cluster forming cities, etc. And sure we also have something to move towards, thus we develop and evolve. So, this progress is so natural.

In fact, experts expect the technological singularity to occur already in the 21st century. But it is not trivial to give a correct estimate. On the other hand, not related to AI, there is research going on in the field of so-called negligible senescence. The idea is that by engineering the reversal of all the major molecular and cellular changes that occur with age we would enable us to constantly rejuvenate ourselves. The researchers believe that negligible aging for humans will be achieved in this century. There even exists a provocative opinion that the first human beings who will live to 1,000 years old are already alive.

At the end of the day, there has been tremendous progress in many fields, not only AI. Along with AI, we may succeed in developing other technologies, which will help us to prolong our lives as well as humans’ in general.

JUnQ: Thank you very much for the interview!

— Mariia Filianina

 [1] http://deepdreamgenerator.com [2] L.A. Gatys, A.S. Ecker and M. Bethge arXiv1508.06576 (2015). [3] https://en.wikipedia.org/wiki/Turing_test [4] A. Hosny, C. Parmar, J. Quackenbush, L.H. Schwartz and H.J.W.L. Aerts Nature Reviews Cancer 18, 500 (2018). [5] https://www.ted.com/speakers/aubrey_de_grey

Curious things happen around us all the time – and sometimes we are so familiar with them that we do not even notice them anymore.

If you read the title you might now think that this article was about the Leidenfrost effect [1], that is, this little funny dance water droplets perform on a hot surface such as a frying pan. It is not, though. The Leidenfrost effect occurs when a material – usually a liquid – meets a surface far above its boiling temperature. A thin layer of the droplet’s surface will then evaporate rapidly, causing a protective gas coating to appear that effectively insulates the droplet and lets it last longer on the hot surface. Similar effects can also be seen with liquid nitrogen on a material at room temperature. These droplets appear to travel around due to ejected gasses. But does a similar phenomenon also occur without the necessity of a hot surface?

There is in fact a location where such an effect occurs regularly without us usually noticing: The bathroom. Under certain conditions water droplets can be seen moving on a surface of water as if they had hydrophobic properties. The easiest way to see them is in the shower, when the shower floor is already covered in a thin layer of water. If new water droplets now impact on this surface at certain angles and speeds, they can be seen rushing around for a while before disappearing. It turns out that in recent years a few scientific publications were dedicated to investigating this effect more closely. [2,3] With a high-speed camera, the bouncing effect can be visualized rather easily, as shown in Fig. 1: The droplet appears to cause a dent in the water surface and then bounce off without merging with the rest of the liquid. Of course, the first idea that comes into mind now is the Leidenfrost effect, where a similar behavior can be seen caused by a layer of vapor. However, here no high temperatures are involved and thus the generation of water vapor is negligible.

The first intuition of an air coating to protect the water droplet is still standing, though, and thus the scientists tried to model the behavior. It turns out that there is indeed a protective coating of air, which can get compressed when the droplet approaches the surface of the liquid underneath. The air simply cannot escape quickly enough and therefore protects the droplet on impact and pushes away from the water surface. This phenomenon causes what is called the residence time of a droplet, that is, the time a droplet can sit on top of a pool of the same liquid before coalescing (see Fig. 2). The theory was confirmed by lowering the ambient air pressure around the experiment, which caused the residence time to decrease. [4] However, one would expect that this thin layer of gas should not withstand a heavy impact of a droplet coming from e.g. the shower head with a lot of speed and thus kinetic energy.

An explanation can be found using a simple speaker membrane: When the droplets are put in contact with an oscillation surface, like water on an oscillating speaker, the bouncing is facilitated, and the droplets can remain intact for much longer. Moreover, the droplets now travel around just like they do in a shower! High-speed camera footage can show the reason for this change in behavior: The surface of the water pool, excited into periodic up- and down-movement patterns, gently catches the droplet if the surface is moving downwards in the moment of impact and therefore prevents the impact from destroying the protective gas layer. It is just like gently catching a water balloon with your hand by grabbing it in motion and then slowing it down. Additionally, the continuous movement of the surface seems to stabilize the gas layer and therefore massively increases the residence time, all while allowing the droplet to travel from minimum to minimum, thus creating the “walking water” effect. [6] In a shower, the impact of many, many droplets cause the surface of the water pool on the ground to oscillate in a similar manner, creating landing spots for some droplets that then move around the surface. The phenomenon can thus be explained by the residence time of a droplet together with an oscillating surface.

Finally, one can reproduce a similar behavior in space, where microgravity does not pull the droplets down. An air bubble inside of a water bubble can thus act like an isolated system where droplets can form and move… excited by the sound of a cello! If you got curious, please check out the beautiful footage in Ref. [6] where much of the inspiration of this article came from.

As stated initially, the most curious things happen around us and we simply have to notice them.

— Kai Litzius

References:

[2] Y. Couder et al., From Bouncing to Floating: Noncoalescence of Drops on a Fluid Bath, Phys. Rev. Lett. 94, 177801 (2005).

[3] J. Molácek & J. W. M. Bush, Drops bouncing on a vibrating bath, J. Fluid Mech. 727, 582-611 (2013).

[4] I. Klyuzhin et al., Persisting Water Droplets on Water Surfaces, J. Phys. Chem. B 114, 14020-14027 (2010).

[6] https://www.youtube.com/watch?v=KJDEsAy9RyM (Water bubble in space at time index 8:18).

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Superstitions are having hard times in our modern always progressing world. It is no longer easy to fool someone with a myth or a beautiful legend from childhood. But how about this one: have you ever heard that a thunderstorm could curdle milk

A correlation between thunderstorms and the souring or curdling of milk has been observed for centuries. As early as in 1685 the first clue was written down in the book “The Paradoxal Discourses of F. M. Van Helmont: Concerning the Macrocosm and Microcosm, Or the Greater and Lesser World, and Their Union” [1]:

“Now that the Thunder hath its peculiar working, may be partly perceived from hence, that at the time when it thunders, Beer, Milk, &c. turn sower in the Cellars … the Thunder doth everywhere introduce corruption and putrefaction”.

By the beginning of the 19th century there had been numerous attempts to find theories of a causal relationship. [2-7] They all were not plausible, many even contradicting. Later, after refrigeration and pasteurization became widespread, eliminating bacteria growth, interest in this phenomenon almost disappeared. While the most popular explanation remains that these occasions are only a correlation, we would like to draw the reader’s attention to some of the suggested theories.

In order to understand what actually happens with milk during a thunderstorm we would need to know (i) what processes are behind the milk souring and (ii) what accompanies thunderstorm, e.g. lightning. While the latter is not yet entirely clear to scientists, [8] the simplified picture of the first point we will cover in the next few paragraphs.

Fresh milk is a textbook example of colloid – a solution consisting of fat and protein molecules, mainly casein, floating in a water-based fluid. [9] The structure of milk is schematically illustrated in Fig. 1. Fat globules are coated with protein and charged phospholipids. Such a formation protects the fat from being quickly digested by bacteria, which also exist in milk. Casein proteins under normal conditions are negatively charged and repel each other so that these formations naturally distribute evenly through the liquid. Normally, milk is slightly acidic (pH ca. 6.4-6.8), [10] being sweet at the same time due to lactose, one of the other carbohydrates within the milk. When the acidity increases to pH lower than 4, proteins denature and are no longer charged. Thus, they bind to each other or coagulate into the clumps known as curds. The watery liquid that remains is called whey.

The acidity of milk is determined by the bacteria which produce lactic acid. The acids lower the pH of milk so the proteins can clump together. The bacteria living in milk naturally produce lactic acid as they digest lactose so they can grow and reproduce. This occurs for raw milk as well as for pasteurized milk. Refrigerating milk slows the growth of bacteria. Similarly, warm milk accommodates bacteria thrive and also increases the rate of the clumping reaction.

Now, we can think of a few things that may speed up the souring process. The first one could be ozone that is formed during a thunderstorm. In one of the works it was shown that a sufficient amount of ozone is generated at such times to coagulate milk by direct oxidation and a consequent production of lactic acids. [2] However, if this were the case, a similar effect would occur for sterilized milk. The corresponding studies were carried out by A. L. Treadwell, reporting that, indeed, the action of oxygen or oxygen and ozone coagulated milk faster Ref. [2]. But the effect was not observed if the milk had been sterilized. The conclusion drawn from this study was that the souring was produced by unusually rapid growth of bacteria in an oxygen rich environment.

In the meantime, a number of other investigations suggested that a rapid souring of milk was most likely due to the atmosphere that is well known to become sultry or hot just prior to a thunderstorm. This warm condition of the air is very favourable for the development of lactic acid in the milk. [3, 4] Thus, these studies were also in favour of thunderstorms affecting the bacteria.

A fundamentally different explanation was tested by e.g. A. Chizhevsky in Ref. [5]. It was suggested that the electric fields with particular characteristics produced during thunderstorms could stimulate a souring process. To check this hypothesis the coagulation of milk was studied under the influence of electric discharges of different strength. Importantly, in these experiments the electric pulses were kept short to eliminate any thermal phenomena. Eventually, the observed coagulation for certain parameter ranges was explained by breaking of protein-colloid system in milk due to the influence of the electric field.

Other experiments investigating the effect of electricity on the coagulation process in milk turned out to be astonishing. [6] When an electric current was passed directly through milk in a container, in all the test variations, the level of acidity rose less quickly in the ‘electrified’ milk samples compared with the ‘control’ sample. Which contradicted all the previous reports.

To conclude, while there is no established theory explaining why milk turns sour during thunderstorms, we cannot disregard numerous occasions of this curious phenomenon. [7] What scientists definitely know is that milk goes sour due to bacteria – bacilli acidi lactici – which produce lactic acid. These bacteria are known to be fairly inactive at low temperatures. Which is why having a fridge is very convenient for milk-lovers. However, when the temperature rises, the bacteria multiply with increasing rapidity until at ca. 50°C it becomes too hot for them to survive. Thus, in pre-refrigerator days, when this phenomenon was most popular, in thundery weather with its anomalous conditions the milk would often go off within a short time after being opened. Independently of the exact mechanism, i.e. increased bacteria activity or breaking of the protein-colloid system, the result is – curdled milk.

Should you ever witness this phenomenon yourself, do not be sad immediately. Try adding a bit brown sugar into your fresh milk curds…

— Mariia Filianina

[1] F. M. van Helmont Franciscus “The Paradoxal Discourses of F. M. Van Helmont, Concerning the Macrocosm And Microcosm, Or The Greater and Lesser World, And their Union” set down in writing by J.B. and now published, London, 1685.

[2] A. L. Treadwell, “The Souring of Milk During Thunder-StormsScience Vol. XVIII, No. 425, 178 (1891).

[3] “Lightning and Milk”, Scientific American 13, 40, 315 (1858). doi:10.1038/scientificamerican06121858-315

[4] H. McClure, “Thunder and Sour Milk.” British Medical Journal vol. 2, 651 (1890).

[5]V. V. Fedynskii (Ed.), The earth in the universe” (orig. “Zemlya vo vselnnoi”), Moscow 1964, Translated from Russian by the Israel Program for Scientific Translations in 1968.

[6] W. G. Duffield and J. A. Murray, “Milk and Electrical Discharges”, Journal of the Röntgen Society 10(38), 9 (1914). doi:10.1459/jrs.194.0004

[7] “Influence of Thunderstorms on MilkThe Creamery and Milk Plant Monthly 11, 40 (1922).

[8] K. Litzius, “How does a lightning bolt find its target?” Journal of Unsolved Questions 9(2) (2019).

[9] R. Jost (Ed.), “Milk and Dairy Products.” In Ullmann’s Encyclopedia of Industrial Chemistry (2007). doi: 10.1002/14356007.a16_589.pub3

[10] https://en.wikipedia.org/wiki/Milk

Once, thunderstorms with thunder and lightning were interpreted as signs of the god’s wrath; nowadays, we are taught the mechanics behind a thunderstorm in school. You are probably already thinking about ice crystals that are smashed together by strong winds inside clouds, creating static charges in the process. How does a lightning bolt, though, find its way from the cloud to the ground? This question still keeps scientists awake at night – and there is still not a clear answer to how exactly the formation and movement of a lightning bolt work. This Question of the Month will give a brief summary on how a lightning bolt selects its target.

Lightning [1,2] occurs always when a large thunderstorm cloud with strong winds generates sufficient electrostatic charge that it must discharge towards the ground. The discharge itself occurs (simplified) in a twostep process, consisting of a main lightning bold and a preflash: The preflash travels as comparably weak (but still dangerous!) current downwards from the cloud. This usually happens in little jumps, which have been investigated with high-speed cameras. They show that the current path is apparently selected randomly by slowing down at a given position and then randomly selecting the next to jump to. This random selection appears to happen within a sphere of a few tens of meters in diameter around the tip of the growing lightning bolt. The process also involves growing many tendrils with individual tips and thus covers a large area (see also Fig. 1). With this procedure, the lightning bold eventually “feels” its way to the ground until it reaches it either directly or via a structure connected to it.

Therefore, if a conductive object reaches into such a sphere, the bolt will immediately jump to it and use it as a low-resistance shortcut to the ground – as a result, if possible, shortening the path for the discharge. This behavior leads to the curious effect of exclusion areas around structures that are protected with lightning rods, in which practically no ground strike will occur, and a person will not be hit directly. Unfortunately, this will not completely protect the person, as the electricity can still be dangerous within the ground.

Now that the preflash has found a path to the ground, the second phase starts, and the majority of the charge starts to flow with up to 20 000 A along the path found by the preflash. This is also the portion of the discharge that is visible by bare eye. It can consist of several distinct discharges that all follow the path of ionized air of the previous one, creating the characteristic flickering of a lightning bolt.

How the entire process from preflash to main discharge works is still not completely understood today and much of the presented insights were simply gathered phenomenologically by camera imaging. Additionally, there are many more types of and effects related to lightning bolts, which are relevant for our understanding of a variety of weather phenomena. All in all, thunderstorms are still something magical today, even if only figuratively.

— Kai Litzius

[1] http://stormhighway.com/cgdesc.php#part1

[2] https://what-if.xkcd.com/16/

[4] Chem. Unserer Zeit, 2019, 53. DOI: 10.1002/ciuz.201980045

Genetic information is encoded in the deoxyribonucleic acid (DNA). In form of a long double-helix molecule, lo-cated in living cells, it governs most of the organisms traits. Explicitly, information from genes is used to form func-tional gene products such as proteins. This process of gene expression is used by all known forms of life on earth to generate the macromolecular machinery for life. Thus, it poses the fundamental level of how the genotype causes the phenotype, i.e. the composite of organisms’ observ-able characteristics. Genomic modification is a powerful tool to amend those characteristics. Reproductional and environmentally caused changes to the DNA is a substrate for evolution. In nature, those changes happen and may cause favourable or unfavourable changes to the phenotype, which allow the cell or organism to improve or reduce the ability to survive and reproduce, respectively.

In the first half of the 20th century, several methods to alter the genetic structure of cells were discovered, which include exposing it to heat, X-rays, UV-light, and chemicals1-4. A significant number of crop cultivated today were developed using those methods of traditional muta-genesis, an example of which is Durum wheat, the most prevalent wheat for pasta production. With traditional mu-tagenesis thousands of mutations are introduced at random within the DNA of the plant. A subsequent screening iden-tifies and separates cells with favourable mutations in their DNA, followed by attempts to remove or reduce possible unfavourable mutations in those by mutagenesis or cross-breeding.

As those methods are usually unspecific and complex, researchers have developed site-determined gene editing techniques, the most successful of which is the so called CRISPR/Cas9 method (clustered regularly interspaced short palindromic repeats). This method borrows from how bacteria defend viral invasion.6 When the bacterium detects virus DNA invasion, it forms two strands of RNA (single helix molecules), one of which contains a sequence that matches that of the invading virus DNA and is hence called guide RNA. These two RNAs form a complex with a Cas9 protein, which, as a nuclease enzyme, can cleave DNA. When the guide RNA finds the target in the viral genome, the RNA-Cas9 complex will lock to a short se-quence known as the PAM, the Cas9 unzippes the viral DNA to which the RNA will match. Cas9 then cleaves the viral DNA, forcing the cell to repair the DNA.6 As this repair process is error prone, it may lead to mutations that might disable certain genes, changing the phenotype. In 2012 and 2013 it was discovered that the guide RNA can be considerably modified for the system to work site-determined5, and that by modifying the enzyme it not only works in bacteria and archaea, but also in eukaryotes (plants and animals), respectively.7

Figure 1: CRISPR/Cas9 working principle.8

Research published since demonstrated the method’s poten-tial for RNA-programmable genome editing. Modifications can be made so during the repair an artificially designed DNA sequence pairs with the cleaved ends, recombines and replaces the original sequence, introducing new genes to the genome.11,12 The advantages of this technique over tra-ditional gene editing methods is multifold. It can act very targeted, i.e. site- and therefore gene-specific in any form of known life. It is comparatively inexpensive, simple enough to be conducted in basic labs, effective, and fast regarding preparation and realisation. The production of multiplex ge-netically modified mice, for instance, was reduced from up to two years to few weeks,9 as CRISPR/Cas9 has the unique advantage over earlier genome editing methods, that multi-plexable targeting is easily achieved by co-expressing Cas9 with multiple single-guide RNAs simultaneously. Conse-quently, within few years after its discovery, it evolved to be the routine procedure for genome modification of virtually all model plants and animals.

The availability of such a method evokes medical and botanical development interests. A plethora of possible medical applications are discussed and researched, among which is healing cancer or treating genetic disorders. For cancer research it is imaginable to induce a multitude of deliberate mutations to artificially form cells similar to can-cerous cell, study the caused modification to the cells, and thus learn to inhibit their reproduction or the original muta-tion. In the clinical research focus now are blood diseases or those related to haematopoietic cells, such as leukaemia, HBV, HIV, or haemophilia.13,14 This is because for the treatment of those diseases, the cells (blood cells or bone marrow) can be extracted from the body in a known way, their genome can be edited in vitro by the CRISPR/Cas9 method, and finally the cells can be reintroduced to the body. The advantage of the extraction is that no additional vector (agent to help finding the right cells in vivo) is re-quired, and the genomic modification can be controlled ex vivo. While the editing efficiency with CRISPR-Cas9 can be extremely high, the resulting cell population will be inherently heterogeneous, both in the percentage of cells that were edited and in the specific genotype of the edited cells. Potentially problematic for in vivo application is the bacterial origin of the endonuclease Cas9. A large portion of humans show humoral and cell-mediated immune re-sponses to the Cas9 protein complex,10 most likely because of prior infection with related bacteria.

Although clinical applications of CRISPR/Cas9 grab a lot of media attention, agricultural applications draw even more commercial interest. Prospects here are the faster, cheaper and more targeted development of crops than by traditional methods of mutagenesis, which are extremely more aggressive in comparison. The main aim is unchanged though: improve plants regarding yield, resistance to dis-eases or vermin, and resilience to aridity, heat, cold, humid-ity, or acidity.15,16 CRISPR/Cas9 is therefore considered an important method to ameliorate agricultural food produc-tion to feed the earth’s ever-growing human population.

Regulations of thusly modified products vary largely be-tween countries. While Canada considers such plants equal to not genetically modified if no transgene was inserted, the USA assesses CRISPR plants on a case by case basis, gauging whether the modification would have been possible by natural mutation. This way they chose to not regulate mushrooms that do not turn brown and maize with an al-tered starch contend. Last year the European court of justice ruled all CRISPR/Cas9 modified plants as genetically mod-ified organisms, reasoning that the risks of such a novel method are unknown, compared to traditional mutagenesis as an established method of plant breeding.

Instigated by genome editing in human-embryonic cells in 201518 a group of scientists called for a moratorium to dis-cuss the possible risks and impact of the wide usage of the CRISPR/Cas9 technology, especially when it comes to mu-tations in humans.19 On the 2015 International Summit on Human Gene Editing leading international scientists con-sidered the scientific and societal implications of genome editing. The discussed issues span clinical, agricultural and environmental applications, with most attention focused on human-germline editing, owing to the potential for this application to eradicate genetic diseases and, ultimately, to alter the course of evolution. Some scientists advise to ban CRISPR/Cas9 based human genomic editing research for the foreseeable future, whereas others favour a rapid progress in developing it.20 A line of argument of support-ers of the latter viewpoint is, that the majority of ethical concerns are effectively based on methodical uncertainties of the CRISPR/Cas9 method at its current status, which can be overcome only with extensive research. Those methodical uncertainties include possible cleavage at undesired sites of the DNA, or insertion of wrong sequences at the cleavage site, resulting in the disabling of the wrong genes or even the creation of new genetic diseases.

Whilst a total ban is considered impractical because of the widespread accessibility and ease of use of this technology,21 the summit statement says, that “It would be irresponsible to proceed with any clinical use of germline editing unless and until (i) the relevant safety and effi-cacy issues have been resolved . . . and (ii) there is broad societal consensus about the appropriateness of the pro-posed application.” The moral concerns about embryonic or germline treatment base on the fact that CRISPR/Cas9 not only would allow the elimination of genetic diseases, but also enable genetic human enhancement, from simple tweaks like eye colour or non-balding to severe modifica-tions relating bone density, muscular strength or sensory and mental capabilities.

Although most scientist echo the summit statement, in 2018 a biochemist claimed to have created the first genetically edited human babies, two twin sisters. After in vitro fertil-ization, he targeted a gene that codes for a protein that one HIV variant uses to enter cells, enforcing a kind of HIV immunity, which is a very rare trait among humans.22 His conduct was harshly criticised in the scientific community, widely condemned, and-after enormous public pressure-redoing forbidden by the responsible regulatory offices.

Ultimately the CRIPSR/Cas9 technology is a paramount example of real world societal implications of basic re-search and demonstrates researchers’ responsibilities. This also raises the question whether basic ethical schooling should be part of every researcher’s education.

— Alexander Kronenberg

[1] K. M. Gleason (2017) “Hermann Joseph Muller’s Study of X-rays as a Mutagen”

[2] Muller, H. J. (1927). Science. 66 (1699): 84–87.

[3] Stadler, L. J.; G. F. Sprague (1936). Proc. Natl. Acad. Sci. U.S.A. US Department of Agriculture and Missouri Agricul-tural Experiment Station. 22 (10): 572–8.
[4] Auerbach, C.; Robson, J.M.; Carr, J.G. (March 1947). Sci-ence. 105 (2723): 243–7.

[5] M. Jinek, K. Chylinski, I. Fonfara, M. Hauer, J. A. Doudna, E. Charpentier. Science, 337, 2012, p. 816–821.
[6] R. Sorek, V. Kunin, P. Hugenholtz. Nature reviews. Micro-biology. 6, 3, (2008), p. 181–186.

[7] Cong, L., et al., (2013). Science. 339 (6121) p. 819–823.

[8] https://commons.wikimedia.org/wiki/File:GRNA-Cas9.png

[9] H. Wang, et al., Cell. Band 153, 4, (2013), S. 910–918.

[10] D. L. Wagner, et al., Nature medicine. (2018).

[11] O. Shalem, N. E. Sanjana, F. Zhang; Nature reviews. Genet-ics 16, 5, (2015), p. 299–311.

[12] T. R. Sampson, D. S. Weiss; BioEssays 36, 1, (2014), p. 34–38.

[13] G. Lin, K. Zhang, J. Li; International journal of molecular sciences 16, 11, (2015), p. 26077–26086.

Dr. Roman Stilling

Disclaimer: The opinions, views, and claims expressed in this essay are those of the author and do not necessarily reflect any opinion whatsoever of the members of the editorial board. The editorial board further reserves the right not to be responsible for the correctness of the information provided. Liability claims regarding damage caused by the use of any information provided will therefore be rejected.

Roman Stilling graduated with a B.Sc. in Biosciences from the University of Mün-ster in 2008 and received a Ph.D. degree from the International Max Planck Re-search School for Neurosciences / University of Göttingen in 2013. Afterwards he joined the APC Microbiome Ireland in Cork, Ireland, as postdoctoral researcher. Since 2016 he is the scientific officer for for the information initiative “Tierver-suche verstehen”1, coordinated by the Alliance of Science Organisations in Germany.

Ethical concerns on using animals in biomedical research have been raised since the 19th century. For example, in England the “Cruelty to Animals Act” was passed in 1876 as a result of a debate especially on the use of dogs un-der inhumane conditions such as invasive physiological experiments or demonstrations without general anaesthe-sia. Interestingly, it was Charles Darwin who put in all his scientific and political gravitas to push for regulation by the law while at the same time providing highly differen-tiated argumentation towards using animals for advancing knowledge, especially in the quickly developing field of physiology 1,2. In an 1881 letter to a Swedish colleague he wrote:

“[. . . ]I fear that in some parts of Europe little regard is paid to the sufferings of animals, and if this be the case I should be glad to hear of legislation against inhumanity in any such country. On the other hand, I know that physiology cannot possibly progress except by means of experiments on living animals, and I feel the deepest conviction that he

who retards the progress of physiology commits a crime against mankind.”3

#### Animal research as a moral dilemma

In this letter Darwin succinctly summarized the ethical dilemma that is the core of the debate on using animals for research: whether we may cause harm to animals if it is necessary to advance science and medicine.

In fact, the ability to suffer is generally accepted as the sin-gle most morally relevant criterion when animals are con-sidered as subjects of moral worth. This reasoning is based on the philosophies of Jeremy Bentham who’s thoughts on this matter culminated in the aphorism: “The question is not, Can they reason? nor, Can they talk? but, Can they suffer?”4

Today, animal welfare legislation is based on this notion in most countries, which has fundamental consequences on how different species of animals are protected by these reg-ulations. For example, in the EU, only the use of animals within the taxonomical subphylum Vertebrata (i.e. verte-brates) are covered by the respective EU directive.5 More recently also the use of Decapoda (e.g. crayfish, crabs, lob-sters) and Cephalopoda (e.g. squids, octopuses) falls within this regulation since it is assumed that these animals have a complex enough nervous system to perceive pain and expe-rience suffering.

Most current legislation in industrialized countries ac-knowledges that animals (not exclusively, but especially those able to suffer) have intrinsic value and a moral sta-tus that is different from other biological forms of life such as plants, fungi or bacteria and inanimate matter. At the same time no country has established legislation that con-siders the moral status of any animal the same as the moral status of a human being – irrespective of the developmental state or status of health of that human being.

Together this reasoning has led to the appreciation, that leg-islation cannot reflect a general rule of “one size fits all”, but a compromise needs to be implemented, where ethical and scientific judgment for each individual experiment or study is made on a case-by-case basis.

#### Adherence to the 3R-principle is necessary but not suf-ficient for ethical justification of laboratory animal use

The moral dilemma of inflicting harm on animals to ad-vance knowledge and medical progress was addressed in more detail in 1959, when William Russell and Rex Burch published “The principles of humane experimental technique”, in which they formulated the now famous 3R-principle for the first time: Replace, reduce, refine.6. This principle acknowledges human benefit from animal exper-iments but provides a guideline to minimize suffering in animals: Only if there is no alternative method to achieve the scientific goal, all measures to reduce the necessary number of animals in a given study, and the best possible conditions to confine suffering to the necessary minimum have been established, an experiment can be considered as potentially ethically justifiable. Meeting the 3R criteria is, however, a necessary but not sufficient requirement for eth-ical justification of a particular experiment.

Today the 3R-principle is well accepted worldwide7 as a formula to minimize animal suffering and has become an integral part of EU animal welfare regulations, which have been translated to national law in all EU member states.

#### Responsibility towards human life and safety – lessons from history

Another key aspect of research involving the use of ani-mals is human safety, especially in the context of medical research on humans. The atrocities of medical experiments on humans in Nazi Germany has led the international com-munity to implement strong protection of human subjects and patients. In addition, drug scandals like the thalidomide birth defect crisis in the 1950s and 1960s have led to pro-found changes in drug regulations. The results of this pro-cess have been condensed in the “Declaration of Helsinki”

adopted by the World Medical Association (WMA) in 1964. Importantly, this declaration states that medical research on human subjects is only justified if all other possible sources haven been utilised for gaining information about efficacy and potential adverse effects of any new experimental ther-apy, prevention or treatment. This explicitly includes infor-mation gained from experiments with animals,8 which has additionally been addressed in a dedicated statement by the WMA on animal use in biomedical research.9.

In analogy to the Helsinki Declaration, which has effec-tively altered the ethical landscape of human clinical re-search, members of the international research community have adopted the Basel Declaration to acknowledge their re-sponsibility towards research animals by further advancing the implementation of ethical principles whenever animals are being used in research.10 Further goals of this initiative are to foster trust, transparency and communication on ani-mal research.

#### Fostering an evidence-based public debate on the ethics of animal research

Transparency and public dialogue is a critical prerequisite for a thoughtful and balanced debate on the ethical implica-tions of using animals in potentially harmful experiments.

However, a meaningful public debate about ethical consid-erations is only worthwhile, if we agree on the facts regard-ing the usefulness of research on animals for scientific and medical progress.

Yet, the contribution of animal models and toxicology testing to scientific and medical progress as well as sub-ject/patient safety is sometimes doubted by animal rights activists. Certainly, in most biomedical research areas, in-cluding those that involve animal experimentation, there is room for improvement, e.g. on aspects of reproducibility or translation of results from bench to bedside. However, there is widespread agreement among researchers and med-ical professionals, together with a large body of published evidence, on the principal usefulness of animal models in general. As for all science, constant improvement of mod-els and careful consideration of whether any model used is still state of the scientific art at any given point of time is crucial for scientific advancement. Also the responsibility to avoid animal suffering as much as possible dictates that new scientific methods and models free of animal suffering are developed with both vigour and rigour.

A fruitful debate needs to be based on these insights and evidence-based common ground needs to be established when discussing ethical considerations and stimulating new ideas. Finally, we need to acknowledge that we are always in the middle of a continuing thought process, in which we very democratically and carefully need to negotiate the importance of different views, values and arguments.

[1] Johnson, E. M. Charles Darwin and the Vivisection Outrage. The Primate Diaries (2011).

[2] Feller, D. Dog fight: Darwin as animal advocate in the anti-vivisection controversy of 1875. Stud. Hist. Philos. Sci. Part C Stud. Hist. Philos. Biol. Biomed. Sci. 40, 265-271 (2009).

[3] Darwin, C. R. 1881. Mr. Darwin on Vivisection.

The Times. (18 April): 10. (1881). Available

at: http://darwin-online.org.uk/content/frameset?pageseq= 1&itemID=F1352&viewtype=text. (Accessed: 25th October 2017)

[4] Bentham, J. An Introduction to the Principles of Morals and Legislation. (W. Pickering, 1823).

[5] DIRECTIVE 2010/63/EU OF THE EUROPEAN PARLIA-MENT AND OF THE COUNCIL on the protection of animals used for scientific purposes. 2010/63/EU, (2010).

[6] Russell, W. M. S. & Burch, R. L. The principles of humane experimental technique. (Methuen, 1959).

[7] Guidelines for Researchers. ICLAS Available at: http://iclas.

org/guidelines-for-researchers. (Accessed: 29th November 2018)

[8] WMA – The World Medical Association-WMA Declaration of Helsinki – Ethical Principles for Medical Research Involving Human Subjects. Available at: https://www. wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/. (Accessed: 29th November 2018)
[9] WMA – The World Medical Association-WMA State-ment on Animal Use in Biomedical Research. Avail-able at: https://www.wma.net/policies-post/wma-statement-on-animal-use-in-biomedical-research/. (Accessed: 29th November 2018)

[10] Basel Declaration | Basel Declaration. Available at: https://www.basel-declaration.org/. (Accessed: 30th November 2018)

Just a few years before Dolly was born as the first surviving clone of a sheep in 1996, the movie Jurassic Park was launched, based on the same-named novel by Michael Crichton.[1,2] In this story scientists insert genetic material derived from fossils into amphibious eggs to bring all sorts of dinosaurs back to life. The actual cloning of animals follows a quite similar approach called somatic cell nuclear transfer or SCNT (fig 1): a nucleus with the desired DNA is isolated from a somatic (body) cell and introduced into an emptied ovum of the same species. Several electrical impulses excite the cell and stimulate proliferation in a nutritional medium. The most stable cell clusters, called blastomeres, can then be transferred to a host mother and grow into an embryo.[1] Dolly managed to fully develop into a lamb and lived 13 years until she died of an infection. She even gave birth to a lamb, proving the viability of cloned creatures.[3] Blastomeres that are dissected instead of implanted can be used to treat diseases or might enable the growth of tissue. Maybe in the future we will be even able to grow a whole surrogate organ ‒ an approach that is highly controversial since human somatic cells are mostly derived from embryotic tissue.[4]

According to a report from the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) about one million species of an estimated number of around 8 million species (only counting eukaryotes) on earth are currently endangered or threatened with loss of habitat.[6,7] In the history of Earth extinction has mostly been a consequence of natural disasters like climate change, volcanic eruptions, or meteorite impacts until human population started to expand.[8,9] The IPBES report demonstrates the present impact of human behaviour on biodiversity and it seems that we are facing many more extinctions caused by anthropogenic reasons in the next decades. It has become a growing interest to not only preserve existing species but also to revive those that have already died out.

One attempt is currently being made to revive Quaggas, a subspecies of the living plain zebra that has died out in the 1880s (fig 2), by selective breeding. Due to their close genetic relation some plain zebras that resemble the characteristic pattern of the quaggas have been selected in the hope to one day give birth to a zebra that looks just like them and shows similar genetic information.[10,11,12]

More demanding is the CRISPR Cas9 method: the DNA that can be extracted from most fossils like the woolly mammoth could be much too old to produce a healthy individuum. But their DNA might be partially recovered by replacing some sequences in the DNA of their closest living relative, the elephant, with extracted mammoth DNA. The genome will not be the same as it was millions of years ago and no one really knows how this will influence the livability of the animals.[13]

But most of the extinct species do not have such close relatives anymore. Interspecies nuclear transfer like in Jurassic Park can be another possibility for de-extinction, that means to revive species that have gone extinct or are on the verge of extinction. The San Diego Zoo Institute for Conservation Research maintains a large collection of cells and embryos called Frozen Zoo®.[14] By using reproductive technologies they develop methods to prevent endangered species like the northern white rhino or the Przewalski horse from extinction or inbreeding.[ 15] The first animal of an endangered species that was successfully cloned was a gaur (bos gaurus), an Asian ox, in 2001 by Advanced Cell Technology using genetic material from the San Diego Zoo. DNA from the skin cells of a male gaur were implanted into empty cow egg cells, grown into blastomeres that were then transferred into the wombs of domestic cows. One of eight embryos developed to a full-grown calf. Unfortunately, after being born, the gaur did not live for more than two days. However, the cause of death is considered to be an infection and not the fact that it is a trans-species clone.[16] The second clone that was created with the very same method had a higher life expectance. It was a banteng (bos javanicus), another endangered Asian cattle. Also remarkable is, that the used fibroblasts were taken and frozen 25 years before, in 1978.[17] An attempt to clone a species that has already gone extinct, the Pyrenean ibex (capra pyrenaica pyrenaica) failed since the kid was born with a deformed lung.[18]

The fact that cloned cells do in principle develop to embryos and even prolific adult animals (like Dolly) gives hope that one day species that have recently been wiped out could come back to life. But besides the challenging and time-consuming scientific research these plans also evoke a lot of critical questions in the society:

How is decided which species will be revived and which stays extinct?

It is clearly difficult to revive every species that we know has ever lived on this planet. There would just not be enough space and food and we might soon experience another wave of mass extinction. Since DNA from fossils might be too old, mammoths and dinosaurs are still out of question. This is shifting the focus on species of the recent past. But how can we select which species can live again and which won’t? We surely must consider the preservation of still existing species as a priority.

Where should they live?

If it is possible to clone many animals of one kind that can even mate, there must be a safe and nourishing environment, most likely captivity. Who knows how an entire species that has been created in captivity will develop? And the knowledge about the behaviour and needs of most of those animals is very little.[13]

Who is going to pay?

The scientist’s motivation might surely be an idealistic one but somehow all the research and maintenance must be financed. Innovations will always attract temporizers that try to exploit it financially. Zoos and wildlife parks that exhibit animals are the lesser problem. Some worry that wealthy poachers and “gourmets” who don’t withhold from hunting and eating endangered species now will just as much be attracted by the thought of getting hold of a cloned specimen. Paying to hunt an endangered species to support the protection financially is already practised in southern Africa and raises a lot of ethical issues.[19,20]

To see living “fossils” like dinosaurs, mammoths, dodos and all the others is surely an exciting thought. But if mankind proceeds like this, in just a few decades there might be much less animals on earth than there are now. Let’s hope that combined common sense, technical progress, and less vanity will lead to a preserved and healthy nature in our future.

‒Tatjana Dänzer

[1] I. Wilmut, A. E. Schnieke, J. McWhir, A. J. Kind, K. H. S. Campbell, Nature 1997, 385, 810–813.

[2] M. Crichton, Jurassic Park, Alfred A. Knopf, Inc., 1990.

[4] S. Lü, Y. Li, S. Gao, S. Liu, H. Wang, W. He, J. Zhou, Z. Liu, Y. Zhang, Q. Lin, C. Duan, X. Yang, C. Wang, J. Cell. Mol. Med. 2010, 14, 2771‒2779.

[5] By en: converted to SVG by Belkorin, modified and translated by Wikibob – derived from image drawn by / de: Quelle: Zeichner: Schorschski / Dr. Jürgen Groth, with text translated, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=3080344.

[7] C. Mora, D. P. Tittensor, S. Adl, A. g. B. Simpson, B. Worm, PLoS Biology, 2011, 9, 1‒8.

[8] D. B. Weishampel, P. Dodson, H. Osmólksa, The Dinosauria, 2nd ed., University of California, 2004.

[9] D. P. G. Bond, P. B. Wignall, Geological Society of America Special Papers, 2014, 505, 29–55.

[12] J. A. Leonard, N. Rohland, S. Glaberman, R. C. Fleischer, A. Caccone, M. Hofreiter, Biol. Lett., 2005, 1, 291‒295.

[13] B. Shapiro, Genome Biology, 2015, 16, 1‒3.

[17] D. L. Janssen, A. L. Edwards, J. A. Koster, R. P. Lanza, O. A. Ryder, Reproduction, Fertility and Development, 2004, 16, 224‒224.

Imagine you are on an airplane, ten thousand meters up in the sky. Now, if you close your eyes you know exactly which way the airplane has started moving, whether it has begun to manoeuvre to the right or to descend. This ability we owe to our inner ear as a part the humans’ vestibular system.

The vestibular system is designed to send information about the position of the head to the brain’s movement control centre, that is the cerebellum. It is made up of three semi-circular canals and two pockets called the otolith organs (Fig. 1), which together provide constant feedback to the cerebellum about head movement. Each of the semi-circular canals is orthogonal to the two others so that they detect the variety of movements in three independent directions: rotation around the neck (horizontal canal), nodding (superior canal) and tilting to the sides (posterior canal). Movement of fluid inside these canals due to the head movement stimulates tiny hairs that send signals via the vestibular nerve to the cerebellum. The two otolith organs (called the saccule and utricle) signal to the brain about linear movements (backwards/forwards or upwards/downwards) and also about where the head is in relation to gravity. These organs contain small crystals that are displaced during linear movements and stimulate tiny hairs communicating via the vestibular, or balance nerve to the cerebellum.

So why is that, even equipped with such a tool, sometimes we get a feeling sitting on an airplane that it is falling down when in fact it is not? Why is that some people, particularly underwater divers, may lose direction and no longer know which way is up?[1] Surely, typical divers should still have the inner ear, unless a shark has bitten their heads off. Is it all caused by stress? Actually, there is much more to it!

Humans have evolved to maintain spatial orientation on the ground, whereas the three-dimensional environment of flight or underwater is unfamiliar to the human body, creating sensory conflicts and illusions that make spatial orientation difficult. Normally, changes in linear and angular accelerations and gravity, detected by the vestibular system, and the relative position of parts of our own bodies, provided by muscles and joints to the proprioceptive system, are compared in the brain with visual information. In unusual conditions, these sensory stimuli vary in magnitude, direction, and frequency. Any differences or discrepancies between visual, vestibular, and proprioceptive sensory inputs result in a sensory mismatch that can produce illusions. Often the result of these various visual and nonvisual illusions is spatial disorientation.

For example, fighter pilots who turn and climb at the same time (they call it “bank and yank”), feel a strong sensation of heaviness. That feeling, caused by their acceleration, surpasses the pull of gravity. Now, if you asked them while blindfolded to tell which way was down using only their vestibular organ, they would point to the cues provided by the turn, not to the cues provided by the earth’s gravity. [2]

Furthermore, the vestibular system detects only changes in acceleration, thus a prolonged rotation of 15-20 seconds [3] results in a cessation of semi-circular output. As a result, the brain adjusts and does not feel the acceleration anymore which can even result in the perception of motion in the opposite direction. In other words, it is possible to gradually climb or descend without a noticeable change in pressure against the seat. Moreover, in some airplanes, it is even possible to execute a loop without exerting negative G-forces so that, without visual reference, the pilot could be upside down without being aware of it.

Another interesting example is the phenomenon of loopy walking. When lost in a desert or a thick forest terrain without landmarks people tend to walk in circles. Recent studies performed by researchers of Max Planck Institute for Biological Cybernetics, Germany, revealed that blindfolded people show the same tendency. Lacking external reference points, they curve around in loops as tight as 20 meters in diameter while believing they are walking in straight lines. [4]

Seemingly the vestibular system is quite easy to trick by eliminating other sensory inputs. However, even when visual information is accessible, e.g. underwater, spatial disorientation can still occur [any scuba diving forum – for the reference]. The obvious fact that water changes visual and proprioceptive perception is crucial here: humans move slower, see differently and let’s not forget the Archimedes’ principle. It happened a lot, that a confused diver thought that the surface was down, especially when the bottom seemed brighter because of reflections. This can be a dangerous mirage in such an unusual gravity. On top of it, water can affect the vestibular system directly through the outer ear. When the cold water penetrates and reaches the vestibular system, it can cause thermal effects on the walls of the semi-circular canals, leading to slight movements of the fluid inside, which are enough to be detected by the brain.[5] Just like in the situations described before this causes the symptoms of spatial disorientation and dizziness.

The vestibular system is indeed frightfully complicated. We can trick it for fun riding roller coasters in an adventure park, but when incorrect interpretation of the signals coming from the vestibular system occurs at the wrong moment this can lead to serious consequences. Luckily, nowadays the airplanes and even divers are equipped with precise instruments used to complement the awareness of the situation and thus avert dangerous situations.

P.S. If you are interested, try riding an elevator while seated on a bike.

— Mariia Filianina

References:

1. The Editors of Encyclopaedia Britannica, (2012). Spatial disorientation, Encyclopædia Britannica, inc.,
2. L. King, (2017). The science of psychology: An appreciative view. (4th. ed.) McGraw-Hill, New York.
3. Previc, F. H., & Ercoline, W. R. (2004). Spatial disorientation in aviation. Reston, VA: American Institute of Astronautics and Aeronautics.
4. J. L. Souman, I. Frissen, M. N. Sreenivasa and M. O. Ernst,Walking straight into circles, Current Biology 19, 1538 (2009).
5. http://www.videodive.ru/diving/vizov5.shtml
6. http://www.nidcd.nih.gov/health/balance/balance_disorders.asp

Certainly, most of us enjoy an occasional nice bowl of spaghetti. Some of us use a spoon along with the fork, some don’t. Doesn’t matter, as long as you enjoy and don’t make a mess. But have you ever wondered whether there is a preferred direction to turn the fork? And is it related to where you live? We did!

In our last issue (Vol 2, 2018), we launched a survey asking our readers exactly this question (Figure 1).

Figure 1: The Spaghetti Turn survey as it appeared on the webpage.

Our survey was advertised in social media (Facebook, LinkedIn, Twitter, ResearchGate) and via QR codes on flyers. The survey reached a total number of n=160 readers, 132 of them found their way directly to our website. The results are shown in Table 1 and Figure 2.

Table 1: Results of the survey “The Spaghetti Turn”.

 Northern hemisphere Southern hemisphere worldwide n % n % n % right-handed clockwise 117 75.5 3 60 120 75.0 right-handed counter clockwise 12 7.7 1 20 13 8.1 left-handed clockwise 10 6.5 0 0 10 6.3 left-handed counter clockwise 10 6.5 0 0 10 6.3 both-handed clockwise 0 0 0 0 0 0 both-handed counter clockwise 1 0.6 0 0 1 0.6 shovel 4 2.6 1 20 5 3.1 other 1 0.6 0 0 1 0.6 sum 155 96.9 5 3.1 160 100

Figure 2: Worldwide percentage of the preferred direction to turn the fork when eating spaghetti related to the handedness (values in %).

The option „no preferred direction” remained unanswered. One single participant chose “I am right-handed and turn clockwise” and “I am right-handed and turn counter clockwise”, depicted as “other”. Assuming that this is no miss-click one out of a total number of 160 participants has no preferred direction when using the fork with their right hand. This underlines that most people on earth indeed have a favourite direction to screw the fork.

Although there is no clear definition to determine handedness, some publications claim that 70–95 % of human population worldwide are right-handed, 5–30% are left-handed and a small minority is ambidextrous.[1] This is consistent with our findings: the survey was answered by 133 right-handed people, which is 86.9% of all 154 participants who revealed their handedness. 20 participants are left-handed (13.1% of all 154 participants who revealed their handedness). One participant (<1%) is ambidextrous and turns the fork counter clockwise with both hands.

75.0% of all participants are right handed and turn the fork in clockwise direction. Only 8.1% turn it counter clockwise. Surprisingly, there seems to be no preference about the turning direction among left-handed people. Their numbers equal (each ten or 6.3%), while 90.2% of all right-handed people turn clockwise. Fortunately (or shockingly?), 3.1% of spaghetti eaters worldwide shovel.

Unfortunately, we did not reach a significant number of readers from the southern hemisphere. Four participants out of five are right-handed, one shovels. 60% of the right-handed southerners turn the fork clockwise, 20% turn it counter clockwise. Considered that only five participants (3.1% of all) do not represent the whole ~10% of the human population living on the southern hemisphere,[2] the preference of turning counter clockwise shows the same tendency for both hemispheres. There is therefore supposedly no relation to where you live on this planet.

But why is the clockwise direction so obviously favoured?

Time and therefore clocks have a powerful influence in our daily lives. Also, in a lot of cultures texts are written from left to right (as the clockhand moves). Moving and looking to the right is very often linked to the future and openness. An experiment from Sascha Topolinski and Peggy Sparenberg from 2012 suggests, that the preferred direction to turn objects could be determined by one’s conservative or open personality.[3] Or is it just for handling reasons only and it is a little easier to apply force on the edge of the fork while turning it clockwise?

With a simple survey like our’s it is impossible to determine whether the habit to turn the fork left or right is a matter of education, subconsciousness or technique.

Throughout the active survey it was possible to answer the poll via the Facebook “Surveys for Pages” and our webpage. Hence, we cannot entirely assure the integrity of the results. Also, we hope our readers understand humour but also answer the survey genuinely. We simply trust in the scientific spirit of our readers. We also did not consider that for cultural habits in certain cultures spaghetti dishes might not be available or forks might not be part of the traditional cutlery. Although it is very often a cause for heavy crossfires during meals, the use of a spoon along with the fork is discounted in the evaluation of the results too. With this survey we just aim to give a picture about the general turning behaviour of spaghetti eaters. To the best of our knowledge there has not been a similar survey until now.

We are now smarter than before but still missing the details of the big picture. Let’s see what the new year brings…

Tatjana Dänzer, Mariia Filianina, Alexander Kronenberg, Kai Litzius, Adrien Thurotte

The editorial team of the Journal of Unsolved Questions thanks all 160 participants of the survey and wishes Bon Appetit and a very happy start into the year 2019!

[1] [https://www.scientificamerican.com/article/why-are-more-people-right/ (last access 31.12.18, 15:20).

[2] https://bigthink.com/strange-maps/563-pop-by-lat-and-pop-by-long?page=all (last access 31.12.18, 15:40).

[3] Sascha Topolinski, Peggy Sparenberg, Social Psychological and Personality Science, 2012, 3, 308–314.

When Francis Guthrie took on the task to colour a map of England in 1852 he needed four colours to ensure that no neighbouring shires had the same colour. Is this the case for any map imaginable, he wondered.

As it turns out, five colours do suffice, as mathematically proven in 1890 in the five-colour theorem [1]. That indeed four colours are enough to colour a map if every country is a connected region took until 1967 to prove [2] and required computer assistance. It abstracted the idea to geometric graph theory where regions are represented by vertices connected by an edge if they share a border (see fig. 1).

Fig 1: Illustration of the abstraction of the map colouring problem to graph theory.

The four-colour theorem was then proven by demonstrating the absence of a map with the smallest number of regions requiring at least five colours. In its long history the theorem attracted numerous false proofs and disproofs. The simplest versions of counterexamples focus on painting extensive regions that bordering many others, thereby forcing the other regions to be painted with only three colours. The focus on the large region might cause people’s inability to see that colouring the remaining regions with three colours is actually possible.

Even before the four-colour theorem was proven, the abstraction to graph theory evoked the question as to how many colours would be needed to colour a plane so that no two points on that plane with distance 1 do have the same colour. This is also known as the Hadwiger–Nelson problem. Note that we are not colouring continuous areas in this case, but instead each individual point of the plane, rendering it extremely more complex. In the 1950s it was known that this sought number, the chromatic number of the plane, had to be between four and seven.

The upper border is known from the existing tessellation of a plane by regular hexagons that can be seven-coloured [4] (fig. 2). The maximal distance within one hexagon, the diameter, needs to be smaller than one to comply with the requirement. Additionally one needs to ensure that the distance to the next hexagon of the same colour is larger than one. These constraints imply that the hexagon edge length a has to be between 0.5 and $\sqrt(7)/2$ for an allowed colouring of the plane, where no two points with distance one have the same colour.

Fig. 2: Colouring of a plane in a seven colour tessellation pattern of regular hexagons.

As to the lower border for the chromatic number of the plane, it is obvious that two colours will not suffice to colour even the simple unit-distance path of an equilateral triangle (see fig. 3 a). To demonstrate that three colours do not suffice either and therefore at least four colours a needed, we take a look at the Moser spindle shown in fig. 3 b. The seven vertices (all eleven edges / connections have unit-distance) cannot be coloured with three colours, say green, blue, and yellow. Assigning green to vertex A, its neighbours B and C need to be blue and yellow, respectively, or vice versa, enforcing D to be green again. A’s other neighbouring vertices E and F analogously are assigned blue and yellow, or vice versa, enforcing in turn G to be green. This conflicts with G’s neighbour D to be green, too, thus demonstrating that arbitrary unit-distance graphs require at least four colours.

Fig 3: a) An equilateral triangle as a simple example for a unit-distance graph. b) The Moser spindle is a four-colourable unit distance graph [3].

After many years of intractability only this year there was some significant progress in closing in on the Hadwiger–Nelson problem. It was demonstrated that “the chromatic number of the plane is at least 5” [5], by finding two non-four-colourable unit-distance graphs (with 20425 and 1581 vertices). The smallest unit-distance graph with chromatic number five found this year has 553 vertices [6] and is shown in fig. 4. Whether the chromatic number of the plane is five, six, or seven still remains to be shown.

Fig 4: Five-colourable unit distance graph with 533 vertices. The fifth colour (white) is only used in the centre. [6]

— Alexander Kronenberg

[1] Heawood, (1890), “Map-Colour Theorems”, Quarterly Journal of Mathematics 24, pp. 332–338

[2] Appel, Haken, (1989), “Every Planar Map is Four-Colorable”, Contemporary Mathematics 98, With the collaboration of J. Koch., doi:10.1090/conm/098

[3] Soifer, (2009) “The Mathematical Coloring Book”, Springer

[4] Hadwiger, (1945), “?berdeckung des euklidischen Raumes durch kongruente Mengen”, Portugal. Math. 4 ,pp. 238–242

[5] de Grey, (2018), “The chromatic number of the plane is at least 5”, arXiv:1804.02385

[6] Heule, (2018), “Computing Small Unit-Distance Graphs with Chromatic Number 5”, arXiv:1805.12181