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Crypto Trader Says One Ethereum Challenger Looks Super Bullish, Predicts Rallies for Solana and Two M… – The Daily Hodl

A popular crypto strategist and trader is predicting strong rallies for three Ethereum (ETH) competitors and one low-cap altcoin.

Pseudonymous crypto analyst Altcoin Sherpa tells his 171,400 Twitter followersthat hes super bullish on Ethereum rival and smart contract platform Near (NEAR).

According to the crypto strategist, NEAR hit his initial target at $16, but hes holding on to his stack as he believes the altcoin will likely hit $20.

NEAR: decided not to sell at low $16s despite that being my plan for weeks. Going to HODL (hold on for dear life) this a bit longer for higher targets.

Next up is high-performance blockchain Solana (SOL), which Altcoin Sherpa predicts will soar in the coming weeks.

SOL: still strongly feel this goes to $150-$200 before its run is over. The next few weeks should be bullish for this.

Solana is trading for $135 at time of writing.

Another coin on the traders watchlist is fellow Ethereum rival Avalanche (AVAX). According to Altcoin Sherpa, he sees AVAX rallying in the coming weeks as it follows the footsteps of Solana.

AVAX: with SOL doing really well, what do you think AVAX does? In my opinion, we see this go to $115.

At time of writing, Avalanche is exchanging hands for $100.

The last coin on the traders list is Alpha (ALPHA), the governance, utility, and work token of Alpha Finance Labs, a cross-chain decentralized finance (DeFi) platform.

Altcoin Sherpa says the recent surge in ALPHAs volume suggests that the altcoin is primed for an explosion.

ALPHA: Remember this coin? Maybe DeFi 1.0 is going to rise hard here. Insane amount of volume coming in now. Would target low $0.80s at a minimum before the run is over (and likely higher).

ALPHA is currently valued at $0.57.

Featured Image: Shutterstock/Sergey Nivens/WhiteBarbie

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Crypto Trader Says One Ethereum Challenger Looks Super Bullish, Predicts Rallies for Solana and Two M... - The Daily Hodl

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Low-Cap Altcoin that Surged 300% in Past 12 Months Could Soon Jump to Top 25, Analyst Says – CryptoGlobe

A popular cryptocurrency trader and analyst, Kevin Svenson, has recently looked at the native cryptocurrency of the popular trading platform KuCoin, $KCS, suggesting the cryptocurrency could soon jump to become a top 25 cryptoasset by market capitalization.

In a tweet shared with his nearly 100,000 followers on the microblogging platform Twitter, Svenson noted that KuCoin Token was one of the strongest assets during the entire downtrend since November 2021 and even went up against the flagship cryptocurrency Bitcoin ($BTC) while holding its value.

Per his words, he now expects KCS to be a top 25 coin following the footsteps of other cryptocurrency exchange tokens including Crypto.coms $CRO, FTXs $FTT, and Binances $BNB.

KuCoin token, according to the cryptocurrency exchanges website, was launched back in 2017 as a utility token that allows traders to share the growth benefit of the exchange. Its currently issued as an ERC-20 token on top of the Ethereum network.

The exchange adds that KuCoin will be the native asset of KuCoins decentralized financial services as well as the governance token of the KuCoin community in the future. Its initial supply was 200 million tokens, but its set to drop to 100 million through a buyback and burn program.

KCS can be used to pay for trading fees on KuCoin at a discount, and for larger holders it allows them to receive a share of the cryptocurrency trading platforms revenues through the KuCoin bonus program.

Over the last 12 months, available data shows the price of $KCS has moved up over 300% as it outperformed most of the cryptocurrency market. The cryptocurrency is, at the time of writing, trading at $21.3.

As reported, KuCoins CEO Johnny Lyu has recently weighed in on meme-inspired cryptocurrencies including Shiba Inu, saying SHIB is worth holding over the long-term. Speaking to CryptoGlobe Xinlu Yu, head of KuCoin Labs, noted SHIB is a community-driven token that can do anything thanks to its token holders.

DISCLAIMER

The views and opinions expressed by the author, or any people mentioned in this article, are for informational purposes only, and they do not constitute financial, investment, or other advice. Investing in or trading cryptoassets comes with a risk of financial loss.

IMAGE CREDIT

Featured image viaUnsplash

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Low-Cap Altcoin that Surged 300% in Past 12 Months Could Soon Jump to Top 25, Analyst Says - CryptoGlobe

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Altcoin Built on Ethereum Is Perfectly Positioned As ETHs Big Upgrade Nears, According to Coin Bureau – The Daily Hodl

A closely followed crypto analyst says that the layer-2 scaling solution Polygon (MATIC) is poised to rally as Ethereum (ETH) shifts to proof-of-stake.

In a new video, pseudonymous Coin Bureau host Guy tells his 2 million YouTube subscribers that the much-anticipated Ethereum upgrade will spur demand for blockchain scaling platforms like Polygon.

As Ethereums transition to proof-of-stake approaches, many have wondered whether there will be a need for layer- 2 scaling solutions like Polygon. It looks like the merge will have minimal effect on Ethereums scalability.

Its also likely to increase the demand for Ethereum which will make it even harder to use. This means layer-2s might soon be needed more than ever and Polygon is perfectly positioned to profit.

The analyst says MATICs price has not increased much despite its developments, updates and partnerships because of supply issues.

MATIC hasnt gone up much in percentage terms over the last year though it is in an uptrend. This means something is suppressing MATICs price and the answer seems to be supply.

Historical data from CoinMarketCap suggests that MATICs circulating supply has increased by around 600 million over the last four months. Coingeckos historical data suggests MATICs circulating supply hasnt changed at all, but this is very unlikely given MATICs vesting schedule.

As it so happens, the vesting contract for the Polygon Foundation released 600 million MATIC during the same period The fact that the MATIC balances of the other vesting contracts have barely changed or even stayed the same suggests that most of the sell pressure is coming from the Polygon foundation.

Speculation that the Polygon foundation selling is suppressing MATICs price recently made the crypto headlines and it makes sense if you do the maths.

Guy says that Polygon is lagging behind similar platforms such as Avalanche (AVAX) in terms of wallet and transaction growth, but future developments will influence MATICs upside potential.

MATIC seems to be on the decline. As you can see, the number of new wallet addresses on Polygons POS chain seems to have plateaued. Whats worse is the number of daily transactions on Polygons

This paints a pretty grim picture for MATICs price potential but this ultimately depends on the demand that can be created by the upcoming milestones on the Polygon roadmap.

Featured Image: Shutterstock/SimpleB

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Altcoin Built on Ethereum Is Perfectly Positioned As ETHs Big Upgrade Nears, According to Coin Bureau - The Daily Hodl

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With WAVES skyrocketing to a new ATH, is altcoin season around the corner – AMBCrypto News

Disclaimer:The findings of the following analysis are the sole opinions of the writer and should not be considered investment advice

In a single hourly session the previous day, Waves had traded a million tokens on Binance. This has been a relatively common occurrence for Waves in the past month, as there have been multiple hourly sessions with 1m+ of the token traded. Each time, there had been further upside before an eventual pullback. This could be the case once more in the hours to come. Bitcoin has also seen strength in the past few days as it rose past $45k once again, and Bitcoins bullishness sometimes nourishes altcoins and their USD pairs.

Source: WAVES/USDT on TradingView

On the 22 March, WAVES formed a high at $34.9, which was also the same level that the asset stalled at in mid-September last year. The past few hours of trading saw this level broken on high trading volume, a sign of conviction from market participants.

A set of Fibonacci extension levels (yellow) were plotted based on the prices move from $16.73 to $34.9 this month. The 100% extension level lay at $53.07, marking it as a near-term take-profit level. However, WAVES could still have plenty of strength, so partial profit-taking might be advisable as well.

Source: WAVES/USDT on TradingView

On the hourly chart, the RSI was on the verge of making a lower high even as the price made a higher high- a bearish divergence. This could see the token pullback to the $38-$40 area. On the other hand, higher timeframes showed strong bullish momentum and no divergence yet, which meant further gains were still very likely.

The OBV has surged alongside the price which meant the rally was backed by genuine demand.

Continued gains were still a likelihood for WAVES, and taking partial profit and reloading on a pullback could keep FOMO away. Such a pullback could be as deep as $40, while to the north, the $50 psychological level and the $53 extension level were likely to act as resistance.

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With WAVES skyrocketing to a new ATH, is altcoin season around the corner - AMBCrypto News

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Small Cap Altcoins Beat Bitcoin And Other Crypto Assets 10 To 1, But Why? – NewsBTC

The Small Cap altcoins index has been outperforming the larger coins. As NewsBTC has been reporting, smaller caps have been looking like the best investment in the past months. Now that the larger Caps found relief recording gains once more during March, the Smaller Cap is still crushing the numbers.

According to data from the latest Weekly Report fromArcane Research, the whole crypto market has seen relief during March. However, even with recent gains, the Small Cap Index still has completely outperformed the other indexes.

As seen in the chart below, Bitcoin, the Large Cap, and Mid Cap indexes have all seen relevant gains during March in the 8-11% increase range. But compared to the Small Cap Index, the larger indexes are lagging behind its massive 40% gains.

The massive gains have a few lead characters. Primarily, the Waves token is outshining all top 50 coins by market cap. It has seen surprising growth in the past month with a 300% increase in price.

Waves is a global open-source platform for decentralized applications. Their native token just rallied 50% in 24 hours, which might have been a result of the Wave Labs launch, a U.S. venture that intends to headquarters in Miami. As the data points out, the token came out of the past week as the best performer of all top 50 coins by market cap.

As per Wave Labs press release, the venture aims to integrate Waves with leading blockchain protocols, form an Ecosystem fund, support projects building on Waves, and other strategic international plans aimed to become the growth engine for the Waves ecosystem so it can reach mass adoption.

With the founding of Waves Labs, the ecosystem fund, and the extremely talented team in place, I do not doubt that Waves will reach mass adoption in 2022 and beyond, saysSasha Ivanov, Founder of Waves.

The Waves 2.0, the new version of Waves Consensus based on Practical Proof-of-Stake Sharding (PPOSS), has been gaining new attention as it promises a highly scalable and EVM-compatible network set to start this spring.

Still unknown in the U.S. compared to other Small Cap altcoins, Waves has a lot of room to grow into. This incentivizes investors as they might see a potential for the digital asset to deliver larger returns.

Even though smaller coins and projects are riskier and more likely to fail, their higher volatility and size can also mean that they can grow exponentially and show greater returns than much larger coins like Bitcoin and Ethereum over the same period of time. Plus, the communities that are formed around Small Cap altcoins projects are often committed to its trajectory and seeing a boost in the price.

However, even though they can turn into greater returns, smaller altcoins can also crash the hardest.

Related Reading |Small Cap Altcoins Continue To March Ahead Of Bitcoin And Ether Gains

More on the Waves token, the pair WAVESBTC just hit a new high, breaking through previous peaks. Traders have been long expecting an alt season to happen soon and Waves movements could be seen as a bullish sign.

Many investors have been expecting an altcoin season to happen this year. This dominance of altcoins over Bitcoin could happen after a BTC bull run as other digital tokens make breakthroughs and gain dominance over the market.

Bitcoin seems to be making big moves this week as it broke its 3-month consolidation. A bullish ascending triangle pattern is on the lookout along with a possible around-$51k target. In the crypto market, coins usually follow other coins moves. This means that Ethereum can follow Bitcoins price movements, and then other altcoins as well.

It can be similar for the smaller coins. If some altcoins are greatly outperforming, others can follow. The movement in question seems to be whether BTC can truly go above its $48k latest high. And as the report noted the bitcoin dominance has been sitting at its highest levels since November, and the time for altcoins might be around the corner if optimistic market sentiment continues.

Related Reading |Bitcoin Dominates Altcoins During War-Torn Month Of February

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Small Cap Altcoins Beat Bitcoin And Other Crypto Assets 10 To 1, But Why? - NewsBTC

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Three reasons why an Altseason may be around the corner – AMBCrypto News

Altseason is a crypto-market cycle phase investors absolutely love. This is a period where altcoins tend to rally, offering gains in the multiples. However, an altseason has a lot of components working together and each of these parts needs to be in the right place to kick-start an altseason.

The cycle for cryptocurrencies, like stock markets, comprises of a bull run and a bear run. However, these distinctions get blurred when taking a nuanced approach. For example, the typical bull run includes Bitcoin and altcoins rallying together. However, in actuality, when BTC starts pumping heavily, altcoins take a backseat and only rally when the big crypto cools down for the next leg-up.

However, as the bull run matures, both asset classes rally in tandem.

The leading factor behind an altseason is capital rotation from investors trying to maximize their profits. Now that Bitcoin has established its presence and moved past the $45,000-hurdle, there is a good chance altcoins will rally. In fact, many altcoins are already rallying by >20% in a single day.

Another observation is that the dominance of Bitcoin reduces during an altseason. Currently, the dominance of BTC is hovering around 42% after a rejection at 44%. From the looks of it, this retracement will extend, pushing BTC dominance to 39% or 40%.

Such a southbound move is a sign that capital is flowing from BTC to altcoins.

Source: BTC Dominance, TradingView

Another factor that backs the assertion that an altseason is starting is Bitcoins price. Although there is a good chance BTC might hit $53,000, there is no proof or supporting arguments that indicate that the rally will extend beyond this level.

As seen in the chart attached below, Bitcoins price has three major areas of support

The first area is a major hurdle and clearing it is unlikely. The second one is the immediate support level and the third area is the last line of defense. Breaching the last support area could trigger a crash to $30,000 or lower.

The recent run-up shattered the $45,000 resistance barrier and has also moved above the yearly open, suggesting a resurgence of buyers. However, due to the presence of overhead barriers, Bitcoins price action will be limited. Also, it likely to bracket between these areas.

Source: BTC/USDT, TradingView

Finally, the altcoin index also suggested that flipping the 4,146 hurdle will eliminate any and all immediate hurdles, allowing altcoins to rally.

Source: Altcoin Index

Thanks to Bitcoins sideways movement, the reduction in its dominance, and the altcoin indexs current reading, the altseason seems more than likely to kick-start itself. All in all, the three aspects reveal the possibility of an altseason and work perfectly well in helping each other.

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Three reasons why an Altseason may be around the corner - AMBCrypto News

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ApeCoin losing sleep over BAYC’s Discord hack that cost it a missing Mutant – AMBCrypto News

While NFT hacks have been observed mainly on the NFT marketplaces in the past, the Bored Ape Yacht Club (BAYC) on 1 April witnessed the same on its Discord. The incident created a panic within the community.

Surprisingly, the hacker managed to steal a Mutant Ape Yacht Club (MAYC) NFT. At the time, MAYC was priced at 20 ETH ($69k). The NFT has since left the address. And, reportedly, it was resold for 23.64 ETH ($82k).

While the actual reason behind the hack has not been revealed, the BAYC team simply sent out a precautionary message saying,

STAY SAFE. Do not mint anything from any Discord right now. A webhook in our Discord was briefly compromised. We caught it immediately but please know: we are not doing any April Fools stealth mints / airdrops etc. Other Discords are also being attacked right now.

This incident wasnt the best thing for ApeCoin holders. Since its launch, both the token and network have had a lackluster performance.

Usually, when a development such as the launch of the native token of the second biggest NFT collection in the world occurs, the crypto community goes berserk. They buy hundreds of thousands of dollars worth of monkeys and pixels.

Unfortunately, that was not the case with APE.

The altcoins price action has seen no spectacular changes over the last couple of days. Any rise since its launch has been countered with a drop. Consequently, at the moment, the NFT token is trading at $13.12- slightly above its inception level.

Secondly, on-chain metrics show that in the two weeks following ApeCoins launch, the altcoin adoption rate has plunged significantly.

Notably, the lack of network growth can keep APE from noting high figures of unique addresses.

Furthermore, since the price levels have remained unchanged post 17 March, the current supply held by investors is neither in profit nor in a loss. Although it was in profit two days ago, the 10.62% drop reverted it.

But the most surprising factor of all is the descent of its social presence. As mentioned above, this is the second biggest NFT collection with NFTs with holders such as Justin Bieber. However, its domination over social channels, which was at about 8% on the day of its launch, is currently at 1.47%.

For low social dominance, transaction volume does not look to be the primary reason. In fact, it seems that ApeCoins appeal to the investors is pretty low at the moment which could be acting as a hindrance to the tokens growth. Undeniably, it is difficult to assess if APE could get its hype back.

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ApeCoin losing sleep over BAYC's Discord hack that cost it a missing Mutant - AMBCrypto News

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Bridging the Chasm Between Quantum Physics and the Theory of Gravity We Have Found a Surprisingly Simple Solution – SciTechDaily

Black holes and wormholes in the universe are complex many body systems and require a deeper understanding of space, time, gravity and quantum physics.

Quantum information theory: Quantum complexity grows linearly for an exponentially long time.

Physicists know about the huge chasm between quantum physics and the theory of gravity. However, in recent decades, theoretical physics has provided some plausible conjecture to bridge this gap and to describe the behavior of complex quantum many-body systems, for example black holes and wormholes in the universe. Now, a theory group at Freie Universitt Berlin and HZB, together with Harvard University, USA, has proven a mathematical conjecture about the behavior of complexity in such systems, increasing the viability of this bridge. The work is published in Nature Physics.

We have found a surprisingly simple solution to an important problem in physics, says Prof. Jens Eisert, a theoretical physicist at Freie Universitt Berlin and HZB. Our results provide a solid basis for understanding the physical properties of chaotic quantum systems, from black holes to complex many-body systems, Eisert adds.

Using only pen and paper, i.e. purely analytically, the Berlin physicists Jonas Haferkamp, Philippe Faist, Naga Kothakonda and Jens Eisert, together with Nicole Yunger Halpern (Harvard, now Maryland), have succeeded in proving a conjecture that has major implications for complex quantum many-body systems. This plays a role, for example, when you want to describe the volume of black holes or even wormholes, explains Jonas Haferkamp, PhD student in the team of Eisert and first author of the paper.

Complex quantum many-body systems can be reconstructed by circuits of so-called quantum bits. The question, however, is: how many elementary operations are needed to prepare the desired state? On the surface, it seems that this minimum number of operations the complexity of the system is always growing. Physicists Adam Brown and Leonard Susskind from Stanford University formulated this intuition as a mathematical conjecture: the quantum complexity of a many-particle system should first grow linearly for astronomically long times and then for even longer remain in a state of maximum complexity. Their conjecture was motivated by the behavior of theoretical wormholes, whose volume seems to grow linearly for an eternally long time. In fact, it is further conjectured that complexity and the volume of wormholes are one and the same quantity from two different perspectives. This redundancy in description is also called the holographic principle and is an important approach to unifying quantum theory and gravity. Brown and Susskinds conjecture on the growth of complexity can be seen as a plausibility check for ideas around the holographic principle, explains Haferkamp.

The group has now shown that the quantum complexity of random circuits indeed increases linearly with time until it saturates at a point in time that is exponential to the system size. Such random circuits are a powerful model for the dynamics of many-body systems. The difficulty in proving the conjecture arises from the fact that it can hardly be ruled out that there are shortcuts, i.e. random circuits with much lower complexity than expected. Our proof is a surprising combination of methods from geometry and those from quantum information theory. This new approach makes it possible to solve the conjecture for the vast majority of systems without having to tackle the notoriously difficult problem for individual states, says Haferkamp.

The work in Nature Physics is a nice highlight of my PhD, adds the young physicist, who will take up a position at Harvard University at the end of the year. As a postdoc, he can continue his research there, preferably in the classic way with pen and paper and in exchange with the best minds in theoretical physics.

Reference: Linear growth of quantum circuit complexity by Jonas Haferkamp, Philippe Faist, Naga B. T. Kothakonda, Jens Eisert and Nicole Yunger Halpern, 28 March 2022, Nature Physics.DOI: 10.1038/s41567-022-01539-6

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Bridging the Chasm Between Quantum Physics and the Theory of Gravity We Have Found a Surprisingly Simple Solution - SciTechDaily

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In a hole in Earths magnetic field, neuroscientists are peering into the human brain – Freethink

Whats going on in the white room is as important as what isnt.

Behind thick walls and a door sealed with a handwheel, the worlds magnetic fields are reduced to essentially nothing. Freed from this background noise, the magnetic fields generated by neurons firing in the brain fields a billion times smaller than Earths can be measured, providing a glimpse into the brains black box.

Inside the room, sitting snug on 17-year-old Keya Shapiros head, is a helmet, dotted with small black rectangles each containing a bit of quantum physics, which helps peer into the inner workings of her brain.

Born with a left side that is weaker than her right, Keya has had to do pediatric constraint-induced movement therapy (PCIMT) for years. For Keya, the therapy involves putting her right arm in a cast and performing physical therapy with her left hand, strengthening it and developing dexterity.

The therapy has worked: the high school senior plays tennis and shoots photos.

But now, Keyas PCIMT experience is going to become a test case for a different way to view whats going on inside the human brain.

Behind thick walls is a hole in the Earths magnetic field.

Gray Matter, Black Box

When it comes to the brain, there is so much we just dont know.

Current methods of imaging the brain all have their drawbacks. They can be too slow to show whats going on, as if watching a View-Master instead of a movie. They can be imprecise, not giving us the finer details of whats going on. And, like MRI, they can require large equipment, unusual clinical settings, and lying unnaturally still for long periods of time.

We cant yet measure the brain how we use it.

Thats what this experiment is supposed to change. The Virginia Tech researchers outside of the sealed box are imaging Keyas brain using a tool that may be a step towards solving those limitations.

Called optically-pumped magnetometers (OPMs), they measure the magnetic fields created by firing neurons which is why Keya is sitting in that hole in the Earths magnetic field, which would normally drown out the neurons tiny signals.

OPMs are faster than other brain imaging devices, and they provide a more accurate picture of where neurons are firing than measuring the brain cells electrical fields.

They can also allow a subject to move while recording their brain activity, getting us one step closer to neurosciences holy grail, measuring the brain out in the wild. (Gotta do something about those blaring magnetic fields out there, though.)

Here at Virginia Techs Fralin Biomedical Research Institute, a team is working to optimize the technology, establishing best practices for using OPM to study social situations.

The OPM and white room technology the researchers are developing will allow them to fulfill their mandate to be the first in the world to study the brain activity underlying social interactions during face-to-face, upright exchanges starting with patients like Keya and their therapists.

Located in the shadows of southwest Virginias Blue Ridge Mountains, the Fralin Biomedical Research Institute at Virginia Tech-Carilion is pioneering new forms of functional brain imaging. Image by the author.

The Brain and the Blue Ridge

Regional jets the kind painted like United but operated by Air Wisconsin bounce on the winds above Roanoke. You look up at the mountains of Virginias Blue Ridge as you land; their jagged green lines hem the horizon.

And in their shadows sits the Fralin Institute.

Keyas been coming to Virginia from her home in Minnesota where she lives with her mom, brother, and mini-Bernedoodle for her PCIMT treatments. She works with senior occupational therapist Mary Rebekah Trucks, in the lab of Stephanie DeLuca, co-director of the Neuromotor Research Clinic.

Now, DeLuca is joining her Virginia Tech colleague Read Montague along with a team at the U.K.s Nottingham University to use OPM to measure the brains of PCIMT patients and their therapists.

DeLuca is hoping that brain measurements can help reveal best practices in the therapy. How important is the constraint on the patients stronger limbs? How much work should the patient do? Are there biomarkers to show the therapy is working?

That data could then be used to optimize PCIMT and help convince more insurance providers to pay for it.

For Montague, the OPM is yet another way to see into the brain.

Harnessing quantum physics, the researchers can read the incredibly minute magnetic fields of neurons firing measuring the brain with speed and precision.

As head of Fralins Center for Human Neuroscience Research, Montague (whos got a hint of Reed Richards about him) and his colleagues have been training AI models to diagnose mental health disorders; using fMRI to better understand and battle addiction; and dropping probes into the brains of patients to take real-time measurements of their neurotransmitters.

The idea is that future patients coming to Roanoke to receive PCIMT with DeLuca and Trucks will have their sessions measured as well therapist and patients inner-most interactions revealed by a quantum effect on atoms.

Eventually, the hope is that the OPM sensors can be placed ever closer to patients heads, allowing for ever more precise measurements and something even closer to measuring the brain in a realistic setting.

Itll take developing into a field for it to really move, Montague says. Not just us here in Appalachia.

Currently, no one else in North America is doing functional neuroimaging exactly like this, Virginia Tech says; theres a similar, smaller facility in Texas, but it is not yet designed for measuring two people at once or allowing for movement.

The Brain at Work

Functional neuroimaging is exactly what it sounds like: taking images of the brain at work. Theres multiple ways to do this, and all have their pros and cons.

Take functional MRIs. An fMRI measures changes in blood flow. By looking at where the blood is flowing in the brain, we can infer what parts of the brain are working harder than usual.

The technique has some notable drawbacks, however; measuring the blood flow, rather than the brain cells, is an indirect measurement of brain activity. fMRIs also take an eternity between each snapshot they have low temporal resolution.

Its like a flipbook of activity compared to a video.

OPMs may be a step closer to neurologys holy grail: measuring the brain in a naturalistic setting.

By comparison, magnetoencephalography (MEG) and electroencephalography (EEG) provide direct measurements of brain activity.

MEGs, a category that includes OPM, sense brain cells magnetic fields, and EEGs measure the electrical currents. And they do so much quicker than the fMRI.

What MEG and EEG look at is the function of the brain, says Elena Boto, a research fellow at the University of Nottinghams Sir Peter Mansfield Imaging Centre.

The brain, we know its an electrical circuit. So to measure the functionality of the brain, you need to look at the currents or magnetic fields associated with these currents that are produced by assemblies of neurons in the brain.

What sets MEG apart from EEG is how accurately it can pinpoint the location of the neurons that are firing.

The magnetic field goes through your skull and water undisturbed, says Svenja Knappe; the electric signals do not, and the end result is a blurred image.

Knappe is an associate research professor at the University of Colorado and co-founder of FieldLine Inc., an OPM-MEG maker. Knappe was part of the team that developed OPMs at the National Institute of Standards and Technology (NIST), and was previously senior scientist at Quspin, which commercialized the OPM and built the ones in use at Virginia Tech.

Most MEG readings are taken using sensors called SQUIDs. These need to be kept frigid via liquid helium to work, so SQUIDs are placed into rigid, Cerebro-like headpieces that hamper movement and keep the sensors precious centimeters away from the brain. Even that tiny distance impacts how well the SQUIDs can measure the brain.

The OPM sensors on Keyas head do not need to be kept ultra-cold. Without the need for liquid helium, they can be deployed much closer to her scalp.

The main benefit of the OPMs from my point of view is that they can be placed on the head closer to the source of interest, says Samu Taulu, director of the I-LABS MEG Brain Imaging Center at the University of Washington.

Because the magnetic fields are so small, even a minute distance between the sensors and the brain reduces accuracy. The infants measured via MEG in Taulus lab provide a better reading than you or I would; their skulls are thinner!

The lack of liquid helium means that the OPM sensors can be free of a rigid helmet, which makes movement easier. According to Taulu, subjects in traditional MEGs can move as well; weve got the math to balance that out when we look at the data. Although, Knappe points out, the rigid helmets are stationary, limiting any movement.

From Atomic Clocks to the Black Box

Each of the OPM sensors are essentially an atomic clock.

They contain rubidium gas sensitive to magnetic fields and their orientation.

Depending on the fluctuations of the magnetic field how cloudy that [gas] is changes, says Fralin Biomedical Research Institute associate professor Stephen LaConte.

By shining a laser through the gas, OPMs use the amount of light transmitted to measure the presence and strength of magnetic fields.

By eliminating the magnetic field of the Earth and other objects within the mag-shielded room and controlling for the ones inside the room, like your heart and muscles you can put together a picture of where neurons are firing in the brain with a speed and accuracy that other neuroimaging techniques lack.

Keya sits and stares, and the magnetic fields generated by her brain are measured. Shes not supposed to actively think, which of course now has her realizing how she thinks.

A Measured Interaction

Inside the white room, Keya stares at a plus sign projected on a screen. Shes wearing a cast extending from her right shoulder out past her fingertips. The device is taking a resting-state reading of her mind; the sensors are warm on her head, almost lulling her to sleep.

The cast is removed, she sits and stares, and the magnetic fields generated by her brain are measured again. Shes not supposed to actively think, which of course now has her realizing how she thinks.

She wonders if Montague and the researchers, watching via webcam from an observation room, can tell she can hear them over the comm system can tell where in her brain she is hearing them.

She taps her fingers, left or right, following guidance on the screen; she does it again, but only in her head.

And the magnetic fields hum secrets to the scientists outside.

Wed love to hear from you! If you have a comment about this article or if you have a tip for a future Freethink story, please email us at tips@freethink.com.

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Beyond the Second Law of Thermodynamics – Quanta Magazine

Since the steam engine began modernizing the world, the second law of thermodynamics has reigned over physics, chemistry, engineering and biology. Now, an upgrade is underway.

Thermodynamics the study of energy originated during the 1800s, as steam engines drove the Industrial Revolution. To understand its second law, imagine a sponge cake, fresh from the oven, cooling on a countertop. Scent molecules carrying heat drift away from the cake. A physicist might wonder: In how many ways can these molecules be arranged throughout the volume of space they currently occupy? We call this number of arrangements the molecules entropy. If the volume just encloses the cake (as it does when the cake is freshest), the entropy is relatively small. If the volume encompasses the whole kitchen (after the molecules have had time to travel farther), the entropy is exponentially larger. The second law of thermodynamics decrees that the entropy of every closed, isolated system (such as our kitchen, assuming the windows and doors are shut) grows or remains constant. Accordingly, the scent of sponge cake wafts across the entire kitchen and never recedes.

We sum up this behavior in an inequality: $latex S_f ge S_i$,where $latex S_i$is the molecules initial entropy and $latex S_f$ their final entropy. The inequality is useful but vague, because it doesnt tell us how much the entropy will grow, except in a special case: when the molecules are at equilibrium. That happens when large-scale properties such as temperature and volume remain constant, and no net flows of anything such as energy or particles enter or leave the system. (For example, our cakes scent molecules reach equilibrium after theyve fully filled the kitchen.) At equilibrium, the second law strengthens to an equality: $latex S_f = S_i$. This simple, general equality provides precise information about many different types of thermodynamic systems at equilibrium.

But you and I and most of the world are far from equilibrium. And far from equilibrium is the wild west to theoretical physicists and chemists: unpredictable and untidy. Imposing laws on the wild west meaning, for us, proving equalities about physics far from equilibrium is quite difficult.

But its not impossible. For decades, physicists have worked with equalities that strengthen the second law. These equalities are known as fluctuation relations. They connect properties of systems far from equilibrium (which are difficult to reason about theoretically) with equilibrium properties (which are easy to reason about).

To see fluctuation relations in action, imagine a microscopic strand of DNA floating in water. Floating quietly, the DNA is at equilibrium, sharing the waters temperature. Using lasers, we can hold one end of the strand steady and pull the other end. Stretching the strand jolts it out of equilibrium and requires work in the physics sense of the word: structured energy harnessed to accomplish a useful task. The amount of work required fluctuates from one pulling of the strand to the next, since a water molecule sometimes kicks the strand here, sometimes there. That means every possible amount of work has some probability of being needed during the next pull.

It turns out that these probabilities which describe the DNA when its far from equilibrium are directly related to properties that the DNA has at equilibrium. And that relation can be captured by an equality.

This is the core of fluctuation relations: Properties of a system far from equilibrium participate in an equality with equilibrium properties. My colleague Chris Jarzynski at the University of Maryland discovered this in 1997. (Hes so modest, he calls the equality the nonequilibrium fluctuation relation, while the rest of us call it Jarzynskis equality.) Although the DNA experiment provided one of the most famous tests of this principle, the equation governs loads of systems, including those involving electrons, beads the size of bacteria and brass oscillators that resemble centimeter-long tire swings.

Fluctuation relations have implications fundamental and practical. For starters, from these equalities we can derive an expression of the second law of thermodynamics. So fluctuation relations not only extend our knowledge far from equilibrium, as we saw with the DNA strand, but also recapitulate information we know about equilibrium.

But the true power of fluctuation relations lies in an ironic fact: While equilibrium properties are easier to reason about theoretically, they are harder to measure experimentally than far-from-equilibrium properties. For instance, to measure the work needed to stretch the DNA far out of equilibrium, we can simply pull the strand quickly for a short time. In contrast, to measure the work needed to stretch it while it remains at equilibrium, wed have to stretch so slowly that the DNA would always remain practically at rest so our experiment would take an infinitely long time.

Chemists, biologists and pharmacologists are interested in the equilibrium properties of proteins and other molecules, so using fluctuation relations gives them an experimental foothold. They can perform many short nonequilibrium trials and measure the work required in each. From this data, they can infer the probability of needing any given amount of work in the next nonequilibrium trial. Then they can plug those probabilities into the far-from-equilibrium side of the fluctuation relation to determine the equilibrium side. This method still requires oodles of trials, but researchers have leveraged mathematical tools to mitigate the difficulty.

In this way, fluctuation relations have revolutionized thermodynamics, galvanizing experiments and providing detailed predictions about the world far from equilibrium. But their usefulness doesnt stop there.

During the 2000s, quantum thermodynamicists those of us who study how quantum physics changes classical concepts like work, heat and efficiency wanted in on the fun, even though our discipline introduces extra puzzles. How to define and measure quantum work is unclear thanks to quantum uncertainty; for instance, measuring a quantum systems energy changes that energy.

As a result, different researchers have proposed different definitions for quantum work. I imagine the various definitions as species in a Victorian menagerie. The hummingbird definition requires us to measure the quantum system gently, to disturb the energy only a little as the fluttering of a hummingbirds wings by your ear for an instant would disturb you. A wildebeest definition keeps to the middle of the pack, focusing our attention on average energy exchanges. Other definitions flutter, twitter and trumpet across the quantum-thermodynamics literature.

As you might expect, different definitions lead to different quantum fluctuation relations. The same is true for similar definitions adapted to different physical settings. Some relations are easier to test experimentally, while some are abstract and mathematical. Some describe high-energy particles, like those smashed together at CERN; one describes chaos in black holes; and one describes the universes expansion. Experimentalists have tested some quantum fluctuation relations with trapped ions, quantum dots and more.

Will one equality rise to the top of the pile, like a monarch whos bested all their relatives for the throne? I expect not. In my opinion, which definitions and equations are useful depends on which system youre interested in, how you poke it and how you can measure it.

The plurality of quantum fluctuation relations contrasts with the unity stereotypically prized by physicists, such as the long-sought Theory of Everything expected to unify all the fundamental forces. Perhaps some principle will unify the quantum fluctuation relations, revealing them to be different sides of a multidimensional coin. Or perhaps quantum thermodynamics is simply richer than other fields of physics.

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Beyond the Second Law of Thermodynamics - Quanta Magazine

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