Tag Archives: technology

The Space Junk Crisis

You likely don’t think about space junk very much every day, but what if I called it an orbital death sphere? Although this may sound hyperbolic, the current amount of orbital trash may become a serious crisis very soon. So what is space junk, and what are we doing about this death sphere?

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Our Orbiting Landfill

Humanity has now been launching things into space since Sputnik 1 was launched in 1957. Since then, we have launched thousands of satellites into the earth’s orbit. Now, launching a rocket is an incredibly difficult task, so historically we have put all our efforts into getting them out of the atmosphere. A consequence of this mentality is that few launches have planned for what happens with the payload once it has served its use. This has resulted in a graveyard of satellites circling earth. But why should we care about a space graveyard?

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Source: pixabay.com

The Death Sphere 

Orbiting space junk is moving at thousands of kilometers per hour. This means that some of our space junk is traveling more than 10 times faster than an average bullet.

The real problem comes from orbital collisions. If two satellites happen to run into each other in orbit, the collision could result in thousands of smaller “bullets”. In addition to this, this single collision could cause a cascade of collisions.

This process is known as Kessler Syndrome which is named after the rocket scientist Donald J. Kessler who first realized the possibility. The end result of this cascade is a proverbial “death sphere” which describes a field of small debris encircling our planet. This could trap us on this planet, as any attempt to launch something into space would be met by a stream of destructive debris. A more complete picture of how this happens is shown by the YouTube creator Kurzgesagt – In a Nutshell: 

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So how do we prevent this from happening? Well thankfully people have started coming up with some solutions.

Saving the Satellites 

Attempting to clean up our space junk is a very difficult but necessary task. A recent study published by the International Academy of Astronautics found that the risk of a catastrophic impact with space debris is as high as 45% for  projects such as SpaceX’s new satellite. Furthermore, the study went on to say:

“…(Kessler Syndrome) could result in low Earth orbit (LEO) becoming unusable, and remaining in an unusable state for perhaps thousands of years…” (IAA)

Getting to space in the first place is incredibly difficult, and if you can get to space how do you get so much junk out of our orbit? Well, many very unique solutions have been proposed over the years including giant trash catching nets, shooting puffs of air at the junk, and even sending up little janitor robots. Most of these solutions have only been theoretical, until this morning.

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Source: Astroscale Holdings Inc.

Earlier today, a magnetic junk capturing satellite was launched by the Japanese company Astroscale. This fascinating piece of engineering uses powerful magnets to capture metallic debris, and safely remove it from orbit. Projects like this give us hope that we will not be restricted in our space fairing ability in the future. Hopefully we can be rid of our orbiting garbage before it grounds us for good. 

-Declan O’Driscoll

Protein Folding: Solved

Just as the turmoil of 2020 was coming to a wrap, a scientific breakthrough came about. On November 30th AlphaFold, coming out of Google’s DeepMind, claimed to have solved the protein folding problem using artificial intelligence.

The Problem

From making our DNA to getting rid of waste, proteins are like small machines that perform the majority of work done in cells. In fact, within our bodies there are an estimated 80,000 to 400,000 unique proteins each playing their own role. And, just like the way a building is built determines its use, a protein’s structure decides what tasks it performs. Yet, although it is easy to distinguish an apartment from an office, according to UCONN Health, it can take scientists between a few weeks to a few months to piece together what a protein looks like.

The Game Changer

This is where AlphaFold sneaks in. Although, as seen in the video above, the task was not easy, AlphaFold chose a different approach to this problem: artificial intelligence. 

Nowadays, the word artificial intelligence pops-up everywhere from self-driving cars to artificial voices, but what is most important is how it works and how it can be applied to the protein folding problem.

General scheme for developing an artificial intelligence model.

 

For the computer it all starts with data. As seen in the diagram above, once given data the computer looks for patterns between points. These patterns can then be used to make predictions on new data. Before in their final structure, proteins begin as a simple string of amino acids, or the building blocks of proteins. Given a dataset with the original string paired with the protein in its final form, the computer looks for patterns between the two. Using these patterns it can then predict what a protein might look like from just its string.

The Importance

Just one of the many protein folding predictions generated by AlphaFold’s model.

To the left you can see one prediction Alpha Fold’s model created. In comparison to the time it takes in the lab, this model is able to make a prediction in a mere half an hour with 90% accuracy according to their statement. In fact, it has already helped a biologist named Andrei Lupis with piecing together a protein his team has been stuck on for a decade. In an interview with Nature, Lupis even said: 

This is a game changer, this will change medicine. It will change research. It will change bioengineering. It will change everything.

With this new break-through, not only will scientists save time and money by not having to experimentally determine a protein’s structure, but research will accelerate at a pace never seen before. 

Beyond AlphaFold

While AlphaFold may be a hot-topic, beyond protein folding AI has also been used for a variety of tasks including interpreting MRI images or even predicting climate change. The applications seem to be limitless so make sure to keep an eye out, the next breakthrough could be coming up just around the corner!

Jessica Petrochuk

 

How Safe is Your Data in a Quantum Computer Era?

Quantum computers have recently gone from science fiction to science fact. The tech has the potential to advance countless fields with its unparalleled computing power, but it may also spell the end of internet security as we know it. You are likely wondering what the heck is a quantum computer? And what does it have to do with internet security? 

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Source: pxhere.com

Quantum Vs. Classical

In simple terms, classical computers use a system of 1’s and 0’s called bits in order to store information. Each bit can either be a 1 or a 0, and when you string lots of bits together, you can form complex information. Computing power is limited by how fast these bits can be read.

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Source: pxhere.com

Qubits are like bits, but instead of being limited as either a 1 or a 0, they can be both a 1, a 0, and anything in between all at the same time. While this concept may make your brain hurt, the important takeaway is that qubits allow quantum computers to skip step by step computing.

Let’s say you take a test. You answer the first question, then the second, and so on. This is how a normal computer works, but a quantum computer would be able to answer all the questions simultaneously. 

Understanding the basics, let’s figure out why internet security might be in the crosshairs of quantum computers.

Encryption for Everyone

You rely on encryption every day to keep your personal information safe online. While different encryption methods vary, the most common of these are public key encryptions

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Source: pixabay.com

If I told you to multiply 556 by 632, you could easily use a calculator to find 351,392. But if I gave you that number and asked you to find two specific factors, you could come up with a bunch of different answers. 

Public key encryption jumbles up information and hides it behind a really large number like a “door”. To unlock this door you need the right factors or the “key”. Use a large enough number, and even the most powerful conventional computers would need thousands of years to crack the code.

Quantum Codebreaking

Factoring these large numbers would be easy for a quantum computer, as it would be able to guess every answer at the same time. A recent study published by the International Journal of Advanced Computer Science and Applications concluded that:

The consequence of this technological advancement is the absolute collapse of the present public key algorithms that are considered secure…” (IJACSA)

Using qubits, computers could break a code that would take normal computers thousands of years to crack in mere hours. For a more complete understanding of how this could work check out this video:

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Thankfully quantum computers still have a ways to go before they pose a real threat to our online security. Researchers are also developing quantum proof encryption, but who knows if it will be able to protect us from the coming quantum era. 

– Declan O’Driscoll

Use of Nanotechnology in Cancer Therapy

Would you believe someone if they told you that there is a type cancer therapy that is more effective and has less negative effects than chemotherapy, yet is less commonly used?

Cancer is characterized by the rapid division of cells anywhere in the body.  Every day, your body produces many potentially cancerous cells that are later destroyed. Moreover, every year, over 10 million people are diagnosed with cancer. With such a large amount of diagnoses, cancer remains one of leading causes of human death as it is generally incurable due to the metastasis of cancer cells.

Microtubules in breast cancer cells leading to rapid cell division.

Credit: National cancer institute. Downloaded from: Unsplash.com

An article by Ranjita Misra and her research team  describes a new yet promising technique in cancer treatment and early detection known as nanotechnology cancer therapy.  Today, treating cancer through radiation and chemotherapy is the most popular option. Chemotherapy has numerous negative effects like drug resistance and an insufficient amount of drug reaching tumour sites. This can lead to insufferable side effects as both cancerous cells and healthy cells are destroyed. 

The use of nanotechnology in cancer therapy involves the production of small particles called nanoparticles that are effective in transporting anticancer drugs to target cells while minimizing damage to healthy cells. Nanoparticles target cancer cells through active targeting and passive targeting. Examples of nanoparticles approved by the FDA include nanoparticle-liposome and albumin nanoparticles. Liposomes in particular are vital in nanotechnology cancer therapy as drugs transported through nanoparticle-liposomes have shown to have significantly longer half lives, upwards of 55 hours. This is important as the drug is able to stay in the body for a longer time meaning less drug is needed, which reduces damage to healthy cells. Another reason liposomes are favourable is because of their composition. Their hydrophobic composition allows appreciable amounts of anticancer drug  to reach the tumour site as the body cannot destroy the drug . This is important in cancer therapy as damaging healthy cells due to excess drug is the main reason why chemotherapy has numerous side effects.  The mechanisms and benefits of nanotechnology cancer therapy talked about above are explained in more detail by Joy Wolfram (2018) in the video below.

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TEDtalk by Joy Wolfram in 2018 about nanotechnology in cancer therapy.

 

Liposomes and nanoparticles: nanosized vehicles for drug delivery in cancer - ScienceDirect

Liposome nanoparticle structure that is used for cancer therapy.

Credit: ScienceDirect. Downloaded from Unsplash.com

This breakthrough in cancer therapy shows that science is forever evolving and that in the future it is possible there will be a cure for cancer.  Although nanotechnology cancer therapy is a relatively new area of research it shows tremendous potential and over time it is expected that larger advancements in preventing and treating cancer will be seen. Lastly, it is believed by researchers that nanotechnology cancer therapy has the potential to be the main form of treating cancer in the future due to the fact that it has less side effects and is more effective than chemotherapy (Gharpure et al. 2015).

Balkaran Dhaliwal

Protein Folding: Solved

Just as the turmoil of 2020 was coming to a wrap, a scientific breakthrough came about. On November 30th, AlphaFold, coming out of DeepMind, claimed to have solved the protein folding problem using artificial intelligence.

The Problem

Proteins perform the majority of work done in our cells from synthesizing DNA to getting rid of waste. Of course, the way a protein functions is largely dependent on its structure. This can include characterizations such as what parts of the protein are exposed versus tucked away. The proteomics field is dedicated to studying these, what is currently estimated to be, 80,000 to 400,000 proteins in our bodies and use two main strategies to determine their structure in the lab: X-ray crystallography and NMR. And yet, even in the midst of these complex protocols and high-tech machinery, a structure can take between a week to a few months to piece together according to UCONN Health.

The Game Changer

This is where AlphaFold sneaks into the picture. AlphaFold chose to take a different approach to this nominal problem: artificial intelligence.

Artificial intelligence has taken the world by storm and has improved the accuracy and efficiency of processes in almost every industry. From self-driving cars to artificial voices the possibilities are endless. 

General scheme for developing an artificial intelligence model.

Put very simply by the diagram above, artificial intelligence, more specifically machine learning, trains a computer to look for patterns within a given dataset. Once trained, this program can use the patterns it learned to make predictions of its own. In the case of AlphaFold, their model was trained off of amino acid sequences and their predetermined structures.

Just one of the many protein folding predictions generated by AlphaFold’s model.

In comparison to the time it takes in the lab, AlphaFold’s model was able to predict protein structure in a mere half an hour with an accuracy of 90% according to their statement. In fact, it has already helped an evolutionary biologist named Andrei Lupis with piecing together a protein his team has been stuck on for a decade. In an interview for nature, Lupis even said: 

“This is a game changer, this will change medicine. It will change research. It will change bioengineering. It will change everything”

Beyond AlphaFold

Of course, while AlphaFold may be a hot-topic, beyond protein folding, AI has also been used for a variety of tasks including interpreting MRI images, predicting climate change, or even sifting through astronomical data. The applications seem to be limitless so make sure to keep an eye out, the next breakthrough could be coming up just around the corner!

Jessica Petrochuk