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Emergence of crucial interphase in lithium-ion batteries is observed by researchers

What happens in a lithium-ion battery when it first starts running? A complex series of events, it turns out – from electrolytic ion reorganization to a riot of chemical reactions. To explore this early part of a battery’s life, researchers in the US have monitored a battery’s chemical evolution at the electrode surface. Their work could lead to improved battery design by targeting the early stages of device operation.

The solid-electrolyte interphase is the solid gunk that materializes around the anode. Borne from the decomposition of the electrolyte, it is crucial for preventing further electrolyte degradation by blocking electrons while allowing lithium ions to pass through to complete the electrical circuit.

The solid-electrolyte interphase does not appear immediately. When a lithium ion battery first charges up, the anode repels anions and attracts positive lithium ions, separating oppositely charged ions into two distinct layers. This electric double layer dictates the eventual composition and structure of the solid-electrolyte interphase.

Recent observation

Vital as it may be, the electric double layer had only been speculated and rarely observed until recently. Now team of researchers at the Pacific Northwest National Laboratory and the Army Research Laboratory led by Zihua Zhu has provided direct experimental evidence for the double layer using a homebuilt secondary ion mass spectrometer, a tool that analyzes ionized particles ejected from surfaces.

The patented instrument can identify the chemical makeup in layers as thin as several nanometres. Moreover, it can probe liquids — such as battery electrolytes — under vacuum conditions.

To carry out the measurement, the researchers assemble a vacuum-compatible battery by encapsulating a liquid electrolyte with a copper electrode followed by a silicon nitride barrier. Mass spectrometric analysis begins when a focused beam of bismuth ions drills into the silicon nitride layer, kicking up ions and leaving behind a small hole. The hole depth can be precisely controlled, and the corresponding ejected material is monitored as a function of depth.

No geysers

When the bismuth ion drill reaches the underlying liquid layer, the liquid surface tension and the small hole size prevent the electrolyte from “geysering” into the high vacuum environment. However, a few liquid particles do escape to be detected and analyzed.

“Our technique has excellent depth resolution and molecular recognition right at the solid-liquid interface,” says Zhu. “These are the advantages over rival techniques, such as transmission electron microscopy.”

The measurements paint a picture of how the solid-electrolyte interphase emerges. The electric double layer of positive and negative ions morphs into the solid-electrolyte interphase comprising a dense, lithium oxide-rich inner layer and a loose, organic outer layer.

Understanding the electric double layer provides insight into how to manipulate the solid-electrolyte interphase. For example, to incorporate fluorine into the inner layer for higher lithium ion mobility, adding fluorine-containing anions into the electrolyte will not work well because the anions will be repelled away from the anode. Zhu’s experiments suggest that introducing neutral, fluorinated solvent species instead of anions can bypass the electrical repulsion.

This study of the initial formation of the solid-electrolyte interphase “allows scientists to design new interphases to improve battery performance,” says Zhu. In the future, the researchers want to apply the same liquid-based mass spectrometry to study the cathode, as well as different electrode materials such as silicon.

Moreover, the close-up discovery of layers in the solid-electrolyte interphase presents new electrifying possibilities for further exploration in the same battery system. Several fundamental questions still remain, and Zhu and his team are already on the chase.

This work is reported in Nature Nanotechnology.

Physics in the pandemic: ‘The quarantine is taken very seriously’

I work as a senior research scientist at a company called Atomionics. We are developing cold atom-based quantum sensors for gravimetry and navigation. We’re an early-stage start-up, and most of my effort is in developing our prototype device along with a small interdisciplinary team. Nearly all our work is lab-based, and it involves a mix of optics, spectroscopy, vacuum work, electronics and mechanical engineering.

The situation in Singapore is presently well-controlled, although things are changing fast: over the past weekend, the country shut its borders to short-term visitors and people on working visas who are not doing essential jobs. However, the health system appears to be designed to cope with an outbreak of this nature, and my impression is that the government had a solid outbreak response plan from before Day One. A test for detecting COVID-19 was developed early, and every confirmed case – mild or not – is hospitalized. Patients are only discharged once they test negative for the virus. This ensures that an infected person cannot infect others in the community. Additionally, contact tracing is quickly performed, and anyone deemed at risk is issued a “stay home” notice, meaning they are quarantined in their home for two weeks. If they develop symptoms during this time, they are immediately taken to the hospital via ambulance.

The quarantine is taken very seriously. The authorities will check in with you every day, and you can be fined, jailed and/or deported if you don’t comply. This has severely limited community spread of the virus. The government quickly implemented measures to support people who are quarantined, such as ensuring that they get extra sick leave and don’t lose their jobs if they can’t work from home, plus there are some big stimulus packages planned. Additionally, COVID-19 tests and hospitalization are free for residents. So far, only two people have died – although again, things are changing fast.

A number of social distancing measures have been put in place, including banning large gatherings of people. This includes large religious services, which were the source of two local disease clusters. Universities have been doing some distance teaching since February, but schools remain open. Travellers from a growing list of countries have been issued “stay home” notices, but as of this week, everyone coming into Singapore must self-isolate for two weeks. This is a good move, considering that around 75% of our cases at the moment are imported. Other than that, most places seem to be open and in business, but there are far fewer people in the usual tourist hotspots.

Local responses

As for how people have responded, there was initially some panic in the city (lots of panic-buying of hand sanitizer, masks and rice, though not toilet paper) back in early February, but my neighbourhood is pretty relaxed, and the local shops weren’t particularly depleted. The government took quick action to reassure people that there is no danger of running out of food and other essentials, and I think it did a good job. People take your temperature everywhere! You get scanned when you go to the gym, before commencing cosmetic appointments, when entering large office buildings, and so on. Everything is being disinfected constantly and there is hand sanitizer available everywhere now.

We have a number of people lined up from different countries, but now we have no idea when or if they’ll be able to join us.

The impact to me personally has been minimal. It’s been business as usual for the most part. However, after the recent spike in imported cases, my husband and I decided to quit going to the gym for the time being and avoid any busy local attractions that might attract crowds. The infection numbers here could easily explode, particularly because of the out-of-control outbreaks in Europe and the US. We’ll know in a week or so if Singapore was too late in increasing travel restrictions, so we’re laying low until then at least.

My workplace has also not been affected on a day-to-day level; we are a small company, so the local population density is not high. However, we’ve had major supply chain problems. First, with China, where several orders got stuck in limbo – they were ready to ship, but there was no one to ship packages and no one to deliver them. Many local suppliers also heavily rely on China, so we were unable to use them. We turned to manufacturers in India, and things were going well until the second week of March, when they also started shutting down. We’ve been hurriedly trying to procure all we need for the next few months because although we expected more global shutdowns, I personally didn’t expect it to happen so fast.

Over the last several days, some European suppliers have gone from saying they expected no delays to suddenly shutting down their facilities. I think things will continue to be unreliable for months, since there is no way that two-week shutdowns will be enough to stem the spread of the pandemic. We will have to find some creative solutions. One thing that’s extremely uncertain is the recruitment of new staff and interns. We have a number of people lined up from different countries, but now we have no idea when or if they’ll be able to join us.

Keeping perspective

If we’re lucky, the present measures to stem a widespread local outbreak will work, and we can carry on with our current levels of social distancing. There’s always a lot to do in the lab, so unless there’s a city-wide shutdown, it’ll be work as usual and quiet weekends. I have a trip to Portugal booked for mid-May for a friend’s wedding, but I suspect that it’s not going to happen. If we do have a full lock-down and I run out of work I can do from home, I’ll take up a few creative projects I have on the go.

Professionally, much of the world is in the same boat. To put things in perspective, the world is collectively trying to stop millions of people from dying, so if careers and businesses suffer a bit, it’s a price I’m happy to pay. You can always rebuild economies, but you can’t bring people back.

If we’re lucky, the present measures to stem a widespread local outbreak will work

On a personal level, I’m worried for my family in Europe. My sister is in lock-down in Barcelona, and I have other family in Germany. I have many friends in the US and UK, and I seriously worry for their safety and well-being, given the slow government responses to the outbreak. As for me, I have asthma, which puts me in a higher-risk category if I contract the virus, but I feel confident in the health system here (as long as it doesn’t get overwhelmed).

As for a silver lining? I hope that essential workers start getting treated better, in the form of much higher pay and benefits, and also respect. It’s obvious that without supermarket staff, sanitation workers, carers, and so on, society simply cannot function. Not to mention nurses, who are underpaid and overworked in so many countries, but are literal lifesavers. Maybe we’ll see some improvement to society, if we’re lucky.

Another silver lining for me is morbid glee every time a politician who dismissed coronavirus as a non-threat gets diagnosed with coronavirus. Naturally, I hope all these people make a full recovery – but I also hope they get voted out at the next opportune moment. Some of them deserve criminal charges for causing widespread death by negligence, and I look forward to seeing their (political) demise.

Ultrasound assessment of tumour oxygenation could guide cancer therapy

The centres of tumours often experience oxygen deprivation as the blood supply struggles to keep up with demand from uncontrollably proliferating tumour cells. Patients with tumours in this hypoxic state are known to have poorer outcomes, but until now, there’s been no viable non-invasive way to accurately measure tumour hypoxia within tissues.

Computer and biomedical engineers at the Beckman Institute, the University of Illinois at Urbana-Champaign and the Mayo Clinic have leveraged new ultrasound tracking technology to reveal the hypoxic status of tumours. In their Scientific Reports publication, the researchers emphasize their data processing technique’s clinical potential (Sci. Rep. 10.1038/s41598-020-59338-z).

“This study is unique because we can image tissue that is deeper inside humans without losing image resolution,” says Pengfei Song. “Ultimately, we want to be able to use this technique in a clinical setting for cancer detection, diagnosis and therapy evaluation.”

Tracking microbubbles

Ultrasound localization microscopy (ULM) is a relatively new technique, recently demonstrated to safely map tiny blood vessel structures (microvasculature) deep within tissue. ULM works by using contrast-enhanced ultrasound to track the path of microbubbles (which are the same size as a red blood cell) within a tumour’s intricate microvasculature. These images are then processed using an algorithm and carefully filtered to produce a high-resolution microvasculature map, of much higher quality than achieved by traditional ultrasound.

“Although this technique requires us to inject these microbubbles, they do not have toxicity problems as other imaging agents,” says Song, pointing out that microbubbles are already utilized in clinics worldwide.

The researchers wanted to take the use of microbubble tracking further. They applied advanced data processing to calculate vascular tortuosity and blood flow – useful metrics in revealing a tumour’s hypoxic status.

“Red blood cells can flow through straight blood vessels quickly and efficiently,” explains Matthew Lowerison, a postdoctoral research associate in the Song Research Group. “In contrast, the blood vessels in tumours are twisted onto each other. It is chaotic and disorganized, and the delivery of oxygen is inefficient.”

Testing the theory

The researchers examined an in vivo model, engrafting laboratory-grown renal tumours onto the chorioallantoic membrane (which experiences minimal tissue motion) of six chicken embryos. They injected microbubbles into a vein on the membrane surface and recorded ULM images at five cross-sections per tumour. From these images, super-resolution data processing calculated the microvascular structure, vascular perfusion and hypoxic state of the tumours.

Super-resolution imaging

Unsurprisingly, the tumours displayed reduced blood flow in the central tumour region compared with the more vascularized tumour periphery. This finding correlated with conventional super-resolution quantification of blood velocity.

ULM measures of microvascular structure and hypoxia also significantly correlated with histological probing for proteins associated with hypoxia on fixed tumour sections.

Hypoxia as a clinical biomarker?

The researchers are quick to point out that although their comparisons are promising for ULM, there isn’t a gold standard method for quantifying tumour hypoxia. To prove that the ULM metrics produced are robust and reproducible, a larger study will be necessary.

Disruption of imaging due to tissue motion is another challenge posed by clinical application of this approach. Such motion is likely to occur in the long acquisition times required to gather sufficient data, especially in large animal and clinical imaging scenarios. Further development of the technique is required to robustly garner hypoxic metrics in these scenarios closer to the true clinical setting.

“We are starting to see good results when we use artificial intelligence and machine learning with these technologies, which can help to make this process faster,” Song says.

Views from the top: career questions answered by leading physicists

Are you at the start of your career in physics, and do you wish you could get a little advice? Experience, as they say, is the best teacher and it always helps to consider a diverse range of views and opinions before picking your pathway. But who can you turn to for advice if you haven’t yet got going?

To help you along the way, I interviewed 10 of today’s top physicists, in the hope of providing you with some sage advice. We will be publishing their answers throughout this week, and we will add links to all the interviews to the box below.

I asked my interviewees the following three questions:

  • What skills do you use every day in your job?
  • What do you like best and least about your job?
  • What do you know today that you wish you knew when you were starting out in your career?

Take a look at their responses over the course of this week. You may find some of their tips rather obvious; but you’ll definitely come across some eye-opening suggestions, unexpected home truths and, most importantly, words of comfort and encouragement.

Ask me anything

Our 10 top physicists offering career advice are:

Crystal Bailey, head of career programmes at the American Physical Society

Philippe Blondel, senior lecturer and deputy director of the Centre for Space, Atmospheric and Oceanic Science at the University of Bath, UK

James McKenzie, vice-president of business at the Institute of Physics, and chief executive of Crossfield Fusion

Helen Margolis, head of science for the time and frequency department at the UK’s National Physical Laboratory (NPL), and an NPL Fellow in Optical Frequency Standards and Metrology

Sadik Hafizovic, chief executive and founder of Zurich Instruments, which provides instruments for quantum computing

Priyamvada Natarajan, theoretical astrophysicist, professor and director of the Franke Program in Science and the Humanities at Yale University, US. She is the author of Mapping the Heavens

Giulia Thompson, head of system physics within global linac engineering at Elekta, a medical-device company that manufactures radiotherapy solutions for cancer care

Chao-Yang Lu, physics professor at the University of Science and Technology of China, focusing on quantum foundations, computation and communications

Libby Jackson, human exploration programme manager at the UK Space Agency

Cather Simpson, professor of physics and chemical sciences at the University of Auckland in New Zealand, and chief science officer of Engender Technologies

Ask me anything: Philippe Blondel

Philippe Blondel

What skills do you use every day in your job?

My physics degrees covered a wide range of topics, from quantum mechanics to electronics. I decided to specialize in geophysics, specifically remote sensing, which makes use of sensors, wave propagation and signal/image analysis. My PhD was about radar imaging of Venus, and afterwards, I worked on sonar imaging of the Earth. Having worked with a multitude of people over several decades, I have realized that everybody needs a physicist. The technical skills we learn, such as numeracy and programming, are useful to work with all other disciplines. As physicists, we are not afraid of equations or complex instruments, and have the tools to adapt to many different things. Today, I am a Chartered Geologist, as well as a Fellow of the Institute of Acoustics.

Soft skills will vary with the jobs, and they are not always taught in a degree, but I was fortunate to be able to catch up on the job. Communication skills are extremely important: it is crucial to explain and “reach out” to other disciplines. People management is key when working in multi­disciplinary teams: respecting each other and understanding we might have different ways of looking at the world but still all want the best outcomes. Time management becomes increasingly important as we progress, and keeping a healthy work–life balance (making us more productive in the end).

What do you like best and least about your job?

Discovery is the best part of the job: every day, you learn new facts, new skills and you can participate in very innovative projects. Right now, I am working on acoustic signatures of climate change in the Arctic, on measuring and mitigating the impacts of human noise on marine life, as well as working with some world-leading industries. It means I work with a variety of researchers and end-users, but I also need to interact with policy-making and help design the international standards of the future. Second best is the possibility to encourage younger scientists to pursue their own ideas, helping them connect across the field, and then step back and see how well they are doing. Teaching is a great opportunity for that: I love the “light bulb” moments, when students realize they can do something hard by themselves.

Every job has its downsides, of course. For me, it is having to justify how we meet particular targets, fill in audit forms with unclear guidance (and sometimes ridiculously short deadlines). But it is more than balanced by the pleasure in seeing our students thrive, keeping in touch after they graduate and seeing how they develop. There is also the thrill of watching the results of our research being used around the world.

What do you know today that you wish you knew when you were starting out in your career?

“Follow your heart” is a common answer, but it needs to be modulated with a scientific approach to the possible outcomes, and you need to remember the future is unpredictable. Originally, I wanted to become an astronomer and look at planets and stars. Job prospects in France were limited at the time I chose my undergraduate options, and I focused on other skills. Be open to possibilities, and be aware that not all dreams are possible, but don’t abandon them either. Remember that there will be new types of jobs in the future that we cannot expect right now. Some authority figures can be very assertive about what needs to be done and how. My personal advice would be never to take these forceful statements as the gospel truth. It is good to listen to different voices, and to make your own, justified choice. Finally, linear careers are no longer the norm, and you might need to change jobs along the way. The skills we learn as physicists are useful for all sorts of things, and Physics World has plenty of very good role models and personal stories to show how useful physics is everywhere.

Ask me anything: Crystal Bailey

Crystal Bailey

What skills do you use every day in your job?

At this stage of my career, most of what I use is actually my connection with physics as a community and as a culture. Though most of my job is about emphasizing careers outside of academia, I have to interact very closely with academics to help them become more effective career mentors – so a deep understanding of the challenges and concerns they have is very important. Since I also give lots of advice directly to students, understanding what they are going through from a first-hand perspective really helps.

I also use all kinds of communication skills (writing articles, writing proposals, creating and giving presentations), an understanding of statistics (when analysing and communicating about career and employment data), project management skills and leadership skills.

What do you like best and least about your job?

What I like the most about this job is that it gives me an opportunity to create a far broader positive impact on the physics community than I would probably have as an individual academic working in a single institution. At the APS, I get a “birds-eye” view of all kinds of efforts that are going on to make physics as a discipline more relevant to the aspirations, interests and identities of 21st-century physics students. Because of this, I get to help make connections between change-makers in the community so that their efforts are more impactful.

The down side is that I really don’t get to do much “physics” anymore – which is something I definitely miss. I loved both teaching physics and doing physics research, and they aren’t really part of my daily activity anymore.

What do you know today that you wish you knew when you were starting out in your career?

I wish I had thought more broadly about the kinds of activities that really make me excited and happy, apart from the physics research I had been doing. There are lots of ways in which your career path can scratch a particular “itch” (for example, a technical sales and marketing career is actually great for people who enjoy teaching physics, because you have to learn to explain the science behind your product to people with lots of different backgrounds so that they understand it). My advice would be to pay special attention to your passion, believe that what you do with your life can align with that, and start finding ways to use your skills and knowledge to pursue that dream.

Physicists solve mystery of Russian masterpiece, why whales are such good swimmers

Physicists at the Moscow Institute of Physics and Technology along with colleagues at the Kurnakov Institute of General and Inorganic Chemistry and the Tretyakov Gallery have solved a longstanding mystery surrounding a famous painting.

“The Portrait of FP Makerovsky in a Masquerade Costume” was painted by Dmitry Levitsky in 1789. The work appears to have been done in three sections and it had not been clear whether all three had been painted by Levitsky or had been later additions.

The team used infrared and Raman spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy and other techniques to work out that the entire work was indeed done by Levitsky.

“In my opinion, the presence of art historians, chemists, and physicists in one team was key to the success of this endeavor,” says physicist Ivan Volkov. You can read more in “Researchers reveal secret of 18th-century portrait from Russia’s Tretyakov Gallery”.

From art to nature, researchers at Lehigh University in the US have been studying how whales and other cetaceans propel themselves with relative ease through the water. They say that they are the first to create a model that can quantitatively predict how that shape and motion of a fin can be tailored to maximize propulsion efficiency.

“We’re studying how these animals are designed and what’s beneficial about that design in terms of their swimming performance, or the fluid mechanics of how they swim,” explains Keith Moored.

They discovered that orca fins are particularly efficient and hope that their model can be used to design better underwater craft. You can read more in “Researchers unlock secrets to swimming efficiency of whales, dolphins for next-gen underwater robots”.

Honeywell says it will soon release ‘the most powerful quantum computer yet’

Honeywell says that it will release the world’s most powerful commercial quantum computer by mid-2020. The US-based manufacturer of scientific and commercial equipment says that the device is based on trapped ions, which is a different technology than that being pursued by most other commercial developers including Google and IBM.  Honeywell researchers have published details of a smaller version of the machine that has a “quantum volume” of 16 and say that it should be straightforward to scale this up to 64.

The fundamental requirement for quantum computation is a set of quantum bits (qubits) that can interact to form quantum logic gates that process quantum information. In principle, quantum computers can perform certain computational task much faster than conventional computers. However, qubits tend to be very fragile so creating practical quantum computers is a significant scientific and technological challenge.

Some experts use the concept of “quantum volume” as a figure of merit for a quantum computer. Developed at IBM, it considers the number of qubits, the degree of connectivity between qubits and the qubits’ coherence times (how long they survive). So far, IBM has created a system with a quantum volume of 32, but Honeywell says it can do better.

Long tradition

While most commercial quantum computers use superconducting circuits as qubits, the first ever qubits were made from trapped ions in 1995 by David Wineland, Chris Monroe and colleagues at NIST in Colorado. “Back then, we were thinking, ‘Somebody smart in solid state physics is going to figure out how to scale this up, because to scale you have to have a solid-state system,’” recalls Monroe – who is now at the University of Maryland. Superconducting circuits have since become popular because they are solid-state systems that can be built using lessons learned from the semiconductor industry,

Recently, however, the superconducting platform has encountered problems. “Superconducting systems had so many advantages they went through in years what had taken decades of work in trapped ions and rapidly surpassed them,” says quantum computing expert Barry Sanders of the University of Calgary in Canada. “The question is whether the golden era is gone,” he adds.

While Monroe was an early proponent of solid-state quantum computers, he is now a sceptic. “We don’t know how to make perfect little solid-state qubits and replicate them to be absolutely identical,” he says.  “I’m turning completely around on this: I don’t think any solid-state system will ever scale,” referring to the need to integrate relatively large numbers of qubits to create useful quantum computers.

External errors

In 2015, Monroe co-founded IonQ, which in 2019 produced the first commercial quantum computer made from trapped atomic ions. “With atomic qubits, each qubit is an atomic clock: it is by definition a perfectly replicable system. All the errors are from the outside world – laser beams, microwave fields, imperfect vacuums,” he says. While these errors can be difficult to deal with, he points out that the semiconductor industry overcame formidable challenges in order to produce modern computer chips.

Now, Honeywell has released details of a trapped-ion quantum computer that it intends to launch commercially this year.  A subsidiary called Honeywell Quantum Solutions claims to have developed a new ion trap that allows the qubits to remain coherent for significantly longer than in competing systems. The researchers say their system uses ytterbium-171 ions as qubits and barium-138 ions for sympathetic cooling.

Honeywell says that unlike competing designs, its system simultaneously meets several important requirements for a commercially viable ion-based quantum computer. While the researchers were unavailable for comment, they claim in a preprint on arXiv that the near-term obstacles to the scalability of their design are not severe. The four-qubit device described in the preprint has quantum volume of 16 and but Honeywell this will be boosted to 64 in a new device released this year.

Sanders describes the preprint as “very honest”. “They’re saying ‘this group did this, this group did that, and that group did that, but we’ve integrated all these advances into one system,’ he says.

Monroe says: “It’s not going to be easy for trapped ions to scale, but we can predict with confidence that we’ll have better lasers, better integration with optical chips and ion traps themselves, better detectors, all these things, and I think having a big company like Honeywell involved is a big deal because they have a rich history of this type of engineering.”

AI can enhance accuracy of CT scans in emphysema

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An artificial intelligence (AI) algorithm can provide fully automated quantification of emphysema, offering potential as a tool for image-based diagnosis and quantification of emphysema severity, according to research published in the American Journal of Roentgenology (AJR 10.2214/AJR.19.21572).

After testing prototype AI software on over 140 patients, a multinational team of researchers found that the algorithm showed very strong correlation with traditional pulmonary function tests.

“The ability of an AI-based system to analyse high-dimensional image data and generate valuable clinical information without input from human observers should thus hold considerable potential for granular quantitative imaging approaches to provide patients with accurate diagnoses and steer treatment,” write the team, led by Andreas Fischer of the Medical University of South Carolina (MUSC) and the University Medical Centre Mannheim in Germany.

Although several visual, semiquantitative and quantitative techniques are used to assess emphysema, these methods are subject to increased interobserver and interpatient variability, according to the authors.

CT scans for emphysema

To see if AI could accurately quantify emphysema, the researchers used a deep image-to-image network – a multilayer convolutional neural network that had been trained and tested on more than 10,000 CT datasets acquired on scanners from three vendors at over 20 clinical sites in the US and Europe. Approximately 25% of these datasets were from patients with emphysema.

The algorithm was retrospectively evaluated on 141 patients who had received unenhanced chest CT and spirometry measurements within six months of each other at MUSC between August 2017 and July 2018. All CT exams had been acquired on one of three scanners from Siemens Healthineers: Somatom Definition Flash, Force or Emotion.

To determine if reconstruction methods would impact performance, the researchers applied the algorithm to two reconstruction kernels. The first method used a section thickness of 1.5 mm with a long kernel, while the second utilized a section thickness of 1.5 mm with a soft-tissue kernel. Emphysema was quantified using spatial filtering and a threshold of -950 Hounsfield units.

The patients had a mean spirometry-based Tiffeneau index (TI) of 0.57. The first reconstruction method showed a mean percentage of emphysema of 9.96 ± 11.87%, while the second method had a mean percentage of 8.04 ± 10.32%.

The algorithm correlated very strongly with the TI on both the first (Spearman correlation coefficient = -0.86) and the second (Spearman correlation coefficient = -0.85) CT reconstruction methods. Both results were statistically significant (p < 0.0001).

The results indicate that AI-based emphysema quantification meaningfully reflects clinical pulmonary physiology, according to the researchers.

“Further investigation is needed to establish quantified AI-based emphysema analysis as a potential biomarker for patients with COPD, thus improving diagnostic performance for a specific outcome and maximizing information retrieval to better understand the causes of disease,” the authors write. “Thus, AI-based pulmonary emphysema diagnostics could contribute to complementary phenotyping as part of an imaging biomarker for patients with COPD to shape the individual therapy of patients as a common diagnostic tool, in combination with pulmonary function tests.”

  • This article was originally published on AuntMinnieEurope.com ©2020 by AuntMinnieEurope.com. Any copying, republication or redistribution of AuntMinnieEurope.com content is expressly prohibited without the prior written consent of AuntMinnieEurope.com.

Fruit and roots for days

As an undergraduate student at the University of St Andrews from 2015 to 2019, my thirst for knowledge, and fine beverages, was quenched by two part-time jobs. The first was as a tour guide at Kingsbarns whisky distillery, and the second was as a retail assistant in a local drinks shop. Indeed, I would frequently joke that I was actually paid to drink, but both jobs gave me a plethora of skills profoundly useful for physics – I gained confidence in public speaking, learnt time management, and got used to dealing with challenging people. What’s more, I always know which beverage to choose for any occasion.

One evening in the shop during our organic and vegan wines month, my boss – a sponge of booze information – set about educating us on the world of “biodynamic” wine-making. The idea is that wine-makers plant, grow and even advise consumption depending on the phases of the Moon with respect to the Sun, constellations and the planets. Biodynamic agriculture was pioneered by Austrian philosopher and esotericist Rudolf Steiner, in the 1920s. Its application to the wine industry is credited to German enthusiasts Maria and Matthius Thun, who practised biodynamic gardening. They eventually applied their 50 years of research and experimentation to publish the first “biodynamic wine calendar” in 2010.

Days are split into four distinct categories: fruit days, root days, leaf days and flower days. In brief, fruit days are those on which the Moon rises through “fire” constellations – they correspond to both good harvesting and optimal drinking days. Flower days – when the Moon rises through “air” constellations and plants should be left to their own devices – benefit aromatic wines. Leaf days are those on which the Moon rises through “water” constellations, and plants should be watered on these days. Finally we have root days, when the Moon rises through “Earth” constellations and all the “lunar energy” is concentrated in the roots of the plant – these are the worst of all for drinking wine.

I was sceptical and craved some scientific evidence – surely, given that large supermarket chains, and even some Grand Cru Bordeaux vineyards, are coming out as biodynamic converts, there must to be some credibility to these biodynamic claims. My scientific intuition was telling me that it was as much a genuine prospect as homeopathy or astrology, and was perhaps evidence of a large-scale placebo effect. Still, as an open-minded scientist, I was prepared to give biodynamic wine the benefit of the doubt.

To my surprise, there was only one legitimate peer-reviewed paper on the subject published in PLOS One in 2016, alongside many biased individual studies. The paper, entitled “Expectation or sensorial reality? An empirical investigation of the biodynamic calendar for wine drinkers”, tested 19 professional New Zealand wine critics, who tasted 12 pinot noirs on two fruit and two root days. The study found that while the wines tasted different on each day, there was no correlation between a more negative experience and root days, or vice versa, as suggested by the biodynamic calendar.

Critics of the paper within the biodynamics community claimed that pinot noir was too dull a grape to have any marked differences, and that the study would have benefited from an aromatic white that would “sing” on fruit days; or a tannic red to taste astringent on root days. The biodynamic enthusiasts’ studies were entirely dependent their preconceptions: there was a suspicious correlation between calendar followers tasting a difference and sceptics not; there was even some divide within the followers themselves with some admitting “wine doesn’t taste bad on root days, it just tastes better on fruit days” (with no evidence provided). Additionally, there are some obviously fundamental flaws in both the experiment and the calendar itself: are four tasting days in total sufficient? How were uncontrollable variables accounted for? Moreover, a fruit day can change into a root day at any minute; would that mean that in an instant a wine would turn from tasting of blackcurrants to bell pepper?

In essence, there are many different variables that can influence the drinking of a wine. Due to the volatility of alcohol, factors such as poor weather and low atmospheric pressure temperatures have a significant impact on taste, such that aromatics taste stiff, and flavour is subdued. Also, drinking even the best of wines in a foul mood never bodes well for true appreciation. Furthermore, bottle storage and wine temperature will affect aromatics: a riesling might taste like burnt plastic when warm, like honey blossom at optimal temperature, and like acid when chilled. Most importantly, drinking should be done in good company and in a comfortable environment in order for you to feel most at ease; being anxious, irate or distracted will hurt the drinking experience.

Perhaps we should transfer our robust scientific methods from exoplanets and lasers to wine – if nothing else, these studies would make for an interesting social activity at conferences

With so few scientific studies, perhaps we should transfer our robust scientific methods from exoplanets and lasers to wine – if nothing else, these studies would make for an interesting social activity at conferences. Until the biodynamic way of drinking has been rigorously tested scientifically, I encourage you to drink whatever you want, whenever you want, and however you want (safely). It’s your wine and you shouldn’t have to wait until Jupiter’s four moons are visible and form a direct line to Orion’s belt to enjoy it.

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