The Baseline of Order

I live in a gated community with fairly strict standards that all homes have to follow. Anyone who wants to live in the neighborhood must contractually agree to these standards. If anyone falls short of them, they’ll get a letter from the community management association with a request to bring their property up to standard. If they don’t comply, the community association has the authority to fine them and to seek other remedies.

We’re not even allowed to park our own cars on the street, only in our driveways or garages, so there are hardly any cars on the streets. No one can park an RV on the street, except very temporarily for loading or unloading.

No soliciting is permitted in the neighborhood, so it’s extremely rare to see any door to door salespeople, Mormons, etc. The streets in the neighborhood are private, not public, so solicitation is equivalent to trespassing.

Every homeowner has to pay extra dues to make this happen – currently $122 per month.

In addition to this community, I live within a section of Las Vegas called Summerlin, which is also privately managed. To live in this part of town, it costs another $48 per month, and there’s another community association that oversees this area.

So I pay $170 per month in extra community association dues, just to live in this part of the city that’s privately managed. These dues fund the management associations. These dues can increase over time too. I think it was around $115 per month total when I first moved to this house in 2007.

Sometimes this can feel like an annoying place to live. I wouldn’t recommend it for anyone who dislikes these kinds of standards, let alone having to pay extra for them. You do sign away some freedoms and invite more restrictions to live in such a neighborhood. More than once I’ve gotten a letter from the community association to fix something or other that’s fallen below standard, such as trees in need of trimming. In another part of town, no one could obligate me to tend to such issues that many people would consider minor or irrelevant.

Presently our community association is requiring homeowners to repaint their houses. This community was built around 2003, so the paint on some homes is apparently showing its age. I will have to get my house painted soon too. There are only six allowed color palettes for our neighborhood since we have to adhere to a uniform look. I’d have to get special approval just to change from my home’s current paint scheme to one of the other five.

On the other hand, I also like to remind myself of the benefits. I’ve lived in many different homes and apartments over the years, and I’ve stayed in this home the longest of any.

One benefit is that these standards keep the community looking really nice. That’s good for keeping the resale value of homes high, which means more equity for the owners.

Because of these standards, there are rarely any annoying issues to deal with regarding neighbors. For the most part, we don’t have to worry about loud parties going late into the night, loud dogs barking incessantly, etc. Most of the time it’s a very quiet neighborhood, except when landscapers are doing yard work. If some issue comes up, the community association is likely to catch wind of it and handle it. They even have someone drive around the community at least monthly to look for potential issues.

These dues also help to pay for more upkeep and higher standards around the whole surrounding community than the city would normally provide. The streets are repaved more often, so they always look pretty new. There are more trees and plants and nicer landscaping in community areas. There are more parks and nicer parks with better upkeep. There are well-marked bike lanes. There are free bag dispensers for people to clean up after their dogs.

This whole side of town is master-planned, and the design really does seem more intelligent than other parts of the city. There are few traffic issues, so running errands at rush hour isn’t a problem. There’s accessible shopping and entertainment. There’s a fire station and a new police station within easy walking distance, so if there were an emergency, I’d imagine they could manage a fairly quick response time.

The builders and businesses in this part of town have to follow strict codes as well. There are no billboards in the area. Commercial logos on buildings have to be kept low-key, so there are no giant signs for fast food places and such. There is ample free parking everywhere.

When I go to different parts of town, the difference is obvious. Sometimes it feels like I’ve switched cities. The streets are dirtier and more cracked. There’s more trash. There are more weeds. Buildings look more haphazardly designed. Even the traffic lights seem less intelligent. And then there’s the smell… a special local blend of pot and urine.

I feel more relaxed and less stressed in this part of town. It’s more orderly and less chaotic. It’s more stable and predictable. But it does cost more. The additional order isn’t free. It costs more money, and it has a certain psychological cost as well. But it also pays off with some financial benefits (like higher home values) and psychological benefits (like peaceful enjoyment of the community).

I don’t always want this much order. Sometimes it feels too tight, too predictable, and too controlling. But then I recall what it was like to live without this baseline of order for long stretches. I’ve lived in more chaotic and disorderly places, and I generally found it way more stressful. I especially didn’t like living in places where it was hard to get a good night’s sleep.

I don’t mind some chaos when I travel. In fact, I often embrace it because it makes for fun memories. I love exploring areas that feel very organic, like walking around a city that feels like it was designed by a lunatic, not knowing what I’ll find around each corner. Inviting surprise can be wonderful.

At home, however, I do like and appreciate a higher baseline of order. Having that stability in my living situation makes it easier to invite and handle more chaos and risk in other areas of life, such as creative projects, entrepreneurship, and personal growth experiments. When I want to mix things up a bit, I have the option (but not the obligation) to invite more chaos, which can be very stimulating when it’s desired.

At the heart of this, what I really enjoy is having options for exploring my relationship with chaos. I like having the freedom to make conscious choices in this area. I like being able to decide how much risk to take, how much disruption to allow in, how ambitious to be, how much to change at once, and how much stress to experience. This gives me a say in how I explore new growth experiences. To make this work, it’s really helpful to maintain an orderly baseline as a jumping-off point. I can always “go home” to a place of high order when I need to reset.

At other times in life, I lacked this stable baseline and spent way more time dealing with chaotic events and circumstances that I didn’t necessarily want. I felt less free during those times, even though I had fewer obligations and responsibilities. I felt more preoccupied with all the turbulence surrounding me. It was harder to make conscious choices and to focus on creating the experiences I wanted. The chaotic energy swirling around me was always pushing me in different directions. I couldn’t maintain any sense of forward progress.

I share this as an invitation to consider what would actually make you feel more free and what would help you grow.

Would you prefer a baseline of order, a baseline of chaos, or some mixture of the two? If you have lots of order, will you still want to dance with chaos? If you have lots of chaos, will you still be able to develop a meaningful relationship with order? How orderly or chaotic do you want your life to be?

Share Button

Coronavirus: Shielding ends for two million in England, Scotland and Northern Ireland

Vulnerable people can now leave their home for the first time since lockdown began.

Share Button

Cooling of Earth caused by eruptions, not meteors

Ancient sediment found in a central Texas cave appears to solve the mystery of why the Earth cooled suddenly about 13,000 years ago, according to a research study co-authored by a Texas A&M University professor.

Michael Waters, director of The Center for The Study of the First Americans and Distinguished Professor at Texas A&M University, and colleagues from Baylor University and the University of Houston have had their work published in Science Advances.

Some researchers believed the event — which cooled the Earth by about 3 degrees Centigrade, a huge amount — was caused by an extraterrestrial impact with the Earth, such as a meteor collision.

But Waters and the team found that the evidence left in layers of sediment in Hall’s Cave were almost certainly the result of volcanic eruptions.

Waters said that Hall’s Cave, located in the Texas hill country, has a sediment record extending over 20,000 years and he first began researching the cave in 2017.

“It is an exceptional record that offers a unique opportunity for interdisciplinary cooperation to investigate a number of important research questions,” he said.

“One big question was, did an extraterrestrial impact occur near the end of the last ice age, about 13,000 years ago as the ice sheets covering Canada were melting, and cause an abrupt cooling that thrust the northern hemisphere back into the ice age for an extra 1,200 years?”

Waters and the team found that within the cave are layers of sediment, first identified by Thomas Stafford (Stafford Research Laboratories, Colorado), that dated to the time of the proposed impact that could answer the question and perhaps even identify the trigger that started the ancient cold snap.

The event also likely helped cause the extinction of large mammals such as mammoth, horse and camel that once roamed North America.

“This work shows that the geochemical signature associated with the cooling event is not unique but occurred four times between 9,000 and 15,000 years ago,” said Alan Brandon, professor of geosciences at University of Houston and head of the research team.

“Thus, the trigger for this cooling event didn’t come from space. Prior geochemical evidence for a large meteor exploding in the atmosphere instead reflects a period of major volcanic eruptions.

“I was skeptical,” Brandon said. “We took every avenue we could to come up with an alternative explanation, or even avoid, this conclusion. A volcanic eruption had been considered one possible explanation but was generally dismissed because there was no associated geochemical fingerprint.”

After a volcano erupts, the global spread of aerosols reflects incoming solar radiation away from Earth and may lead to global cooling post eruption for one to five years, depending on the size and timescales of the eruption, the team said.

“The Younger Dryas, which occurred about 13,000 years ago, disrupted distinct warming at the end of the last ice age,” said co-author Steven Forman, professor of geosciences at Baylor.

The Earth’s climate may have been at a tipping point at the end of Younger Dryas, possibly from the ice sheet discharge into the North Atlantic Ocean, enhanced snow cover and powerful volcanic eruptions that may have in combination led to intense Northern Hemisphere cooling, Forman said.

“This period of rapid cooling coincides with the extinction of a number of species, including camels and horses, and the appearance of the Clovis archaeological tradition,” said Waters.

Brandon and fellow University of Houston scientist Nan Sun completed the isotopic analysis of sediments collected from Hall’s Cave. They found that elements such as iridium, ruthenium, platinum, palladium and rhenium were not present in the correct proportions, meaning that a meteor or asteroid could not have caused the event.

“The isotope analysis and the relative proportion of the elements matched those that were found in previous volcanic gases,” said Sun, lead author of the report.

Volcanic eruptions cause their most severe cooling near the source, usually in the year of the eruption, with substantially less cooling in the years after the eruption, the team said.

The Younger Dryas cooling lasted about 1,200 years, “so a sole volcanic eruptive cause is an important initiating factor, but other Earth system changes, such as cooling of the oceans and more snow cover were needed to sustain this colder period, “Forman said.

Waters added that the bottom line is that “the chemical anomalies found in sediments dating to the beginning of the Younger Dryas are the result of volcanism and not an extraterrestrial impact.”

Share Button

Scientists discover new class of semiconducting entropy-stabilized materials

Semiconductors are important materials in numerous functional applications such as digital and analog electronics, solar cells, LEDs, and lasers. Semiconducting alloys are particularly useful for these applications since their properties can be engineered by tuning the mixing ratio or the alloy ingredients. However, the synthesis of multicomponent semiconductor alloys has been a big challenge due to thermodynamic phase segregation of the alloy into separate phases. Recently, University of Michigan researchers Emmanouil (Manos) Kioupakis and Pierre F. P. Poudeu, both in the Materials Science and Engineering Department, utilized entropy to stabilize a new class of semiconducting materials, based on GeSnPbSSeTe high-entropy ourchalcogenide alloys, a discovery that paves the way for wider adoption of entropy-stabilized semiconductors in functional applications.

Entropy, a thermodynamic quantity that quantifies the degree of disorder in a material, has been exploited to synthesize a vast array of novel materials by mixing eachcomponent in an equimolar fashion, from high-entropy metallic alloys to entropy-stabilized ceramics. Despite having a large enthalpy of mixing, these materials can surprisingly crystalize in a single crystal structure, enabled by the large configurational entropy in the lattice. Kioupakis and Poudeu hypothesized that this principle of entropy stabilization can be applied to overcome the synthesis challenges of semiconducting alloys that prefer to segregation into thermodynamically more stable compounds. They tested their hypothesis on a 6-component II-VI chalcogenide alloy derived from the PbTe structure by mixing Ge, Sn, and Pb on the cation site, and S, Se, and Te on the anion site.

Using high throughput first-principles calculations, Kioupakis uncovered the complex interplay between the enthalpy and entropy in GeSnPbSSeTe high-entropy chalcogenide alloys. He found that the large configurational entropy from both anion and cation sublattices stabilizes the alloys into single-phase rocksalt solid solutions at the growth temperature. Despite being metastable at room temperature, these solid solutions can be preserved by fast cooling under ambient conditions. Poudeu later verified the theory predictions by synthesizing the equimolar composition (Ge1/3Sn1/3Pb1/3S1/3Se1/3Te1/3) by a two-step solid-state reaction followed by fast quenching in liquid nitrogen. The synthesized power showed well-defined XRD patterns corresponding to a pure rocksalt structure. Furthermore, they observed reversible phase transition between single-phase solid solution and multiple-phase segregation from DSC analysis and temperature dependent XRD, which is a key feature of entropy stabilization.

What makes high-entropy chalcogenide intriguing is their functional properties. Previously discovered high-entropy materials are either conducting metals or insulating ceramics, with a clear dearth in the semiconducting regime. Kioupakis and Poudeu found that. the equimolar GeSnPbSSeTe is an ambipolarly dopable semiconductor, with evidence from a calculated band gap of 0.86 eV and sign reversal of the measured Seebeck coefficient upon p-type doping with Na acceptors and n-type doping with Bi donors. The alloy also exhibits an ultralow thermal conductivity that is nearly independent of temperature. These fascinating functional properties make GeSnPbSSeTe a promising new material to be deployed in electronic, optoelectronic, photovoltaic, and thermoelectric devices.

Entropy stabilization is a general and powerful method to realize a vast array of materials compositions. The discovery of entropy stabilization in semiconducting chalcogenide alloys by the team at UM is only the tip of the iceberg that can pave the way for novel functional applications of entropy-stabilized materials.

Story Source:

Materials provided by University of Michigan College of Engineering. Note: Content may be edited for style and length.

Share Button

New printing process advances 3D capabilities

More durable prosthetics and medical devices for patients and stronger parts for airplanes and automobiles are just some of the products that could be created through a new 3D printing technology invented by a UMass Lowell researcher.

Substances such as plastics, metals and wax are used in 3D printers to make products and parts for larger items, as the practice has disrupted the prototyping and manufacturing fields. Products created through the 3D printing of plastics include everything from toys to drones. While the global market for 3D plastics printers is estimated at $4 billion and growing, challenges remain in ensuring the printers create objects that are produced quickly, retain their strength and accurately reflect the shape desired, according to UMass Lowell’s David Kazmer, a plastics engineering professor who led the research project.

Called injection printing, the technology Kazmer pioneered is featured in the academic journal Additive Manufacturing posted online last week.

The invention combines elements of 3D printing and injection molding, a technique through which objects are created by filling mold cavities with molten materials. The marriage of the two processes increases the production rate of 3D printing, while enhancing the strength and properties of the resulting products. The innovation typically produces objects about three times faster than conventional 3D printing, which means jobs that once took about nine hours now only take three, according to Kazmer, who lives in Georgetown.

“The invention greatly improves the quality of the parts produced, making them fully dense with few cracks or voids, so they are much stronger. For technical applications, this is game-changing. The new process is also cost-effective because it can be used in existing 3D printers, with only new software to program the machine needed,” Kazmer said.

The process took about 18 months to develop. Austin Colon of Plymouth, a UMass Lowell Ph.D. candidate in plastics engineering, helped validate the technology alongside Kazmer, who teaches courses in product design, prototyping and process control, among other topics. He has filed for a patent on the new technology.

Story Source:

Materials provided by University of Massachusetts Lowell. Note: Content may be edited for style and length.

Share Button

Coronavirus: Care home visits ‘delayed’ over lack of testing

Providers have permission to resume family visits but say they are unable to test staff and residents.

Share Button

To distinguish contexts, animals think probabilistically, study suggests

Among the many things rodents have taught neuroscientists is that in a region called the hippocampus, the brain creates a new map for every unique spatial context — for instance, a different room or maze. But scientists have so far struggled to learn how animals decides when a context is novel enough to merit creating, or at least revising, these mental maps. In a study in eLife, MIT and Harvard researchers propose a new understanding: The process of “remapping” can be mathematically modeled as a feat of probabilistic reasoning by the rodents.

The approach offers scientists a new way to interpret many experiments that depend on measuring remapping to investigate learning and memory. Remapping is integral to that pursuit, because animals (and people) associate learning closely with context, and hippocampal maps indicate which context an animal believes itself to be in.

“People have previously asked ‘What changes in the environment cause the hippocampus to create a new map?’ but there haven’t been any clear answers,” said lead author Honi Sanders. “It depends on all sorts of factors, which means that how the animals define context has been shrouded in mystery.”

Sanders is a postdoc in the lab of co-author Matthew Wilson, Sherman Fairchild Professor in The Picower Institute for Learning and Memory and the departments of Biology and Brain and Cognitive Sciences at MIT. He is also a member of the Center for Brains, Minds and Machines. The pair collaborated with Samuel Gershman, a professor of psychology at Harvard on the study.

Fundamentally a problem with remapping that has frequently led labs to report conflicting, confusing, or surprising results, is that scientists cannot simply assure their rats that they have moved from experimental Context A to Context B, or that they are still in Context A, even if some ambient condition, like temperature or odor, has inadvertently changed. It is up to the rat to explore and infer that conditions like the maze shape, or smell, or lighting, or the position of obstacles, and rewards, or the task they must perform, have or have not changed enough to trigger a full or partial remapping.

So rather than trying to understand remapping measurements based on what the experimental design is supposed to induce, Sanders, Wilson and Gershman argue that scientists should predict remapping by mathematically accounting for the rat’s reasoning using Bayesian statistics, which quantify the process of starting with an uncertain assumption and then updating it as new information emerges.

“You never experience exactly the same situation twice. The second time is always slightly different,” Sanders said. “You need to answer the question: ‘Is this difference just the result of normal variation in this context or is this difference actually a different context?’ The first time you experience the difference you can’t be sure, but after you’ve experienced the context many times and get a sense of what variation is normal and what variation is not, you can pick up immediately when something is out of line.”

The trio call their approach “hidden state inference” because to the animal, the possible change of context is a hidden state that must be inferred.

In the study the authors describe several cases in which hidden state inference can help explain the remapping, or the lack of it, observed in prior studies.

For instance, in many studies it’s been difficult to predict how changing some of cues that a rodent navigates by in a maze (e.g. a light or a buzzer) will influence whether it makes a completely new map or partially remaps the current one and by how much. Mostly the data has showed there isn’t an obvious “one-to-one” relationship of cue change and remapping. But the new model predicts how as more cues change, a rodent can transition from becoming uncertain about whether an environment is novel (and therefore partially remapping) to becoming sure enough of that to fully remap.

In another, the model offers a new prediction to resolve a remapping ambiguity that has arisen when scientists have incrementally “morphed” the shape of rodent enclosures. Multiple labs, for instance, found different results when they familiarized rats with square and round environments and then tried to measure how and whether they remap when placed in intermediate shapes, such as an octagon. Some labs saw complete remapping while others observed only partial remapping. The new model predicts how that could be true: rats exposed to the intermediate environment after longer training would be more likely to fully remap than those exposed to the intermediate shape earlier in training, because with more experience they would be more sure of their original environments and therefore more certain that the intermediate one was a real change.

The math of the model even includes a variable that can account for differences between individual animals. Sanders is looking at whether rethinking old results in this way could allow researchers to understand why different rodents respond so variably to similar experiments.

Ultimately, Sanders said, he hopes the study will help fellow remapping researchers adopt a new way of thinking about surprising results — by considering the challenge their experiments pose to their subjects.

“Animals are not given direct access to context identities, but have to infer them,” he said. “Probabilistic approaches capture the way that uncertainty plays a role when inference occurs. If we correctly characterize the problem the animal is facing, we can make sense of differing results in different situations because the differences should stem from a common cause: the way that hidden state inference works.”

The National Science Foundation funded the research.

Share Button

When Dirac meets frustrated magnetism

The fields of condensed matter physics and material science are intimately linked because new physics is often discovered in materials with special arrangements of atoms. Crystals, which have repeating units of atoms in space, can have special patterns which result in exotic physical properties. Particularly exciting are materials which host multiple types of exotic properties because they give scientists the opportunity to study how those properties interact with and influence each other. The combinations can give rise to unexpected phenomena and fuel years of basic and technological research.

In a new study published in Science Advances this week, an international team of scientists from the USA, Columbia, Czech Republic, England, and led by Dr. Mazhar N. Ali at the Max Planck Institute of Microstructure Physics in Germany, has shown that a new material, KV3Sb5, has a never-seen-before combination of properties that results in one of the largest anomalous Hall effects (AHEs) ever observed; 15,500 siemens per centimeter at 2 Kelvin.

Discovered in the lab of co-author Prof. Tyrel McQueen at Johns Hopkins University, KV3Sb5 combines four properties into one material: Dirac physics, metallic frustrated magnetism, 2D exfoliability (like graphene), and chemical stability.

Dirac physics, in this context, relates to the fact that the electrons in KV3Sb5 aren’t just your normal run-of-the-mill electrons; they are moving extremely fast with very low effective mass. This means that they are acting “light-like”; their velocities are becoming comparable to the speed of light and they are behaving as though they have only a small fraction of the mass which they should have. This results in the material being highly metallic and was first shown in graphene about 15 years ago.

The “frustrated magnetism” arises when the magnetic moments in a material (imagine little bar magnets which try to turn each other and line up North to South when you bring them together) are arranged in special geometries, like triangular nets. This scenario can make it hard for the bar magnets to line up in way that they all cancel each other out and are stable. Materials exhibiting this property are rare, especially metallic ones. Most frustrated magnet materials are electrical insulators, meaning that their electrons are immobile. “Metallic frustrated magnets have been highly sought after for several decades. They have been predicted to house unconventional superconductivity, Majorana fermions, be useful for quantum computing, and more,” commented Dr. Ali.

Structurally, KV3Sb5 has a 2D, layered structure where triangular vanadium and antimony layers loosely stack on top of potassium layers. This allowed the authors to simply use tape to peel off a few layers (a.k.a. flakes) at a time. “This was very important because it allowed us to use electron-beam lithography (like photo-lithography which is used to make computer chips, but using electrons rather than photons) to make tiny devices out of the flakes and measure properties which people can’t easily measure in bulk.” remarked lead author Shuo-Ying Yang, from the Max Planck Institute of Microstructure Physics. “We were excited to find that the flakes were quite stable to the fabrication process, which makes it relatively easy to work with and explore lots of properties.”

Armed with this combination of properties, the team first chose to look for an anomalous Hall effect (AHE) in the material. This phenomenon is where electrons in a material with an applied electric field (but no magnetic field) can get deflected by 90 degrees by various mechanisms. “It had been theorized that metals with triangular spin arrangements could host a significant extrinsic effect, so it was a good place to start,” noted Yang. Using angle resolved photoelectron spectroscopy, microdevice fabrication, and a low temperature electronic property measurement system, Shuo-Ying and co-lead author Yaojia Wang (Max Planck Institute of Microstructure Physics) were able to observe one of the largest AHE’s ever seen.

The AHE can be broken into two general categories: intrinsic and extrinsic. “The intrinsic mechanism is like if a football player made a pass to their teammate by bending the ball, or electron, around some defenders (without it colliding with them),” explained Ali. “Extrinsic is like the ball bouncing off of a defender, or magnetic scattering center, and going to the side after the collision. Many extrinsically dominated materials have a random arrangement of defenders on the field, or magnetic scattering centers randomly diluted throughout the crystal. KV3Sb5 is special in that it has groups of 3 magnetic scattering centers arranged in a triangular net. In this scenario, the ball scatters off of the cluster of defenders, rather than a single one, and is more likely to go to the side than if just one was in the way.” This is essentially the theorized spin-cluster skew scattering AHE mechanism which was demonstrated by the authors in this material. “However the condition with which the incoming ball hits the cluster seems to matter; you or I kicking the ball isn’t the same as if, say, Christiano Ronaldo kicked the ball,” added Ali. “When Ronaldo kicks it, it is moving way faster and bounces off of the cluster with way more velocity, moving to the side faster than if just any average person had kicked it. This is, loosely speaking, the difference between the Dirac quasiparticles (Ronaldo) in this material vs normal electrons (average person) and is related to why we see such a large AHE,” Ali laughingly explained.

These results may also help scientists identify other materials with this combination of ingredients. “Importantly, the same physics governing this AHE could also drive a very large spin Hall effect (SHE) — where instead of generating an orthogonal charge current, an orthogonal spin current is generated,” remarked Wang. “This is important for next-generation computing technologies based on an electron’s spin rather than its charge.”

“This is a new playground material for us: metallic Dirac physics, frustrated magnetism, exfoliatable, and chemically stable all in one. There is a lot of opportunity to explore fun, weird phenomena, like unconventional superconductivity and more,” said Ali, excitedly.

Share Button

How human sperm really swim: New research challenges centuries-old assumption

A breakthrough in fertility science by researchers from Bristol and Mexico has shattered the universally accepted view of how sperm ‘swim’.

More than three hundred years after Antonie van Leeuwenhoek used one of the earliest microscopes to describe human sperm as having a “tail, which, when swimming, lashes with a snakelike movement, like eels in water,” scientists have revealed this is an optical illusion.

Using state-of-the-art 3D microscopy and mathematics, Dr Hermes Gadelha from the University of Bristol, Dr Gabriel Corkidi and Dr Alberto Darszon from the Universidad Nacional Autonoma de Mexico, have pioneered the reconstruction of the true movement of the sperm tail in 3D.

Using a high-speed camera capable of recording over 55,000 frames in one second, and a microscope stage with a piezoelectric device to move the sample up and down at an incredibly high rate, they were able to scan the sperm swimming freely in 3D.

The ground-breaking study, published in the journal Science Advances, reveals the sperm tail is in fact wonky and only wiggles on one side. While this should mean the sperm’s one-sided stroke would have it swimming in circles, sperm have found a clever way to adapt and swim forwards.

“Human sperm figured out if they roll as they swim, much like playful otters corkscrewing through water, their one-sided stoke would average itself out, and they would swim forwards,” said Dr Gadelha, head of the Polymaths Laboratory at Bristol’s Department of Engineering Mathematics and an expert in the mathematics of fertility.

“The sperms’ rapid and highly synchronised spinning causes an illusion when seen from above with 2D microscopes — the tail appears to have a side-to-side symmetric movement, “like eels in water,” as described by Leeuwenhoek in the 17th century.

“However, our discovery shows sperm have developed a swimming technique to compensate for their lop-sidedness and in doing so have ingeniously solved a mathematical puzzle at a microscopic scale: by creating symmetry out of asymmetry,” said Dr Gadelha.

“The otter-like spinning of human sperm is however complex: the sperm head spins at the same time that the sperm tail rotates around the swimming direction. This is known in physics as precession, much like when the orbits of Earth and Mars precess around the sun.”

Computer-assisted semen analysis systems in use today, both in clinics and for research, still use 2D views to look at sperm movement. Therefore, like Leeuwenhoek’s first microscope, they are still prone to this illusion of symmetry while assessing semen quality. This discovery, with its novel use of 3D microscope technology combined with mathematics, may provide fresh hope for unlocking the secrets of human reproduction.

“With over half of infertility caused by male factors, understanding the human sperm tail is fundamental to developing future diagnostic tools to identify unhealthy sperm,” adds Dr Gadelha, whose work has previously revealed the biomechanics of sperm bendiness and the precise rhythmic tendencies that characterise how a sperm moves forward.

Dr Corkidi and Dr Darszon pioneered the 3D microscopy for sperm swimming.

“This was an incredible surprise, and we believe our state-of the-art 3D microscope will unveil many more hidden secrets in nature. One day this technology will become available to clinical centres,” said Dr Corkidi.

“This discovery will revolutionize our understanding of sperm motility and its impact on natural fertilization. So little is known about the intricate environment inside the female reproductive tract and how sperm swimming impinge on fertilization. These new tools open our eyes to the amazing capabilities sperm have,” said Dr Darszon.

Share Button

Appreciation Density

In the past 11 weeks, I’ve lost an average of 1.15 pounds per week, mainly just by logging what I eat. This simple practice has helped me tweak and adjust my meal choices even though I’m still eating the same foods as I was previously. I’m eating less food in terms of calories, but my current diet is actually more satisfying than before. Since there’s no sense of restriction or deprivation, it’s frictionless to maintain this approach.

Let’s say that the appreciation density of a meal is your overall physical and emotional satisfaction with it, divided by its calories:

Appreciation Density = Satisfaction / Calories

I don’t exactly know how to calculate physical and emotional satisfaction though. Maybe we could rate the satisfaction of meals on a 1-10 scale, but fortunately that isn’t necessary. We can just compare based on equivalent calories by asking whether one meal is more or less satisfying than another. We can also do this at the level of individual ingredients.

Through food logging and a little reflection, I saw that some meals (and some ingredients) are more satisfying than others for the same number of calories.

I’ve learned that roasted eggplant is really satisfying relative to its calories. Peaches and strawberries are super satisfying as well. Steamed broccoli and zucchini with some hummus is a delightful meal – very satisfying for so few calories.

Some foods have diminishing returns if I include too much of them. For instance, 10g of olive oil on a salad may be pretty satisfying relative to the 90 calories it adds. But would 20g of olive oil be twice as satisfying? No, definitely not. Doubling the olive oil might only increase the satisfaction by an extra 20%, so it’s probably not worth it.

Adding 1/3 of an avocado to a salad can be really nice. But if I use a whole avocado, is it 3x as satisfying? Nope. I find that the sweet spot is to use about 1/4 to 1/2 of an avocado on a salad to get the maximum satisfaction relative to the calories.

Through lots of experimentation, I’m gradually figuring out better balancing points where I eat quantities of foods that raise the satisfaction level of a meal but where consuming more would lead to diminishing returns. So when I compose meals, I require each ingredient to pull its weight by meaningfully contributing to the overall satisfaction.

Note that satisfaction is mainly an emotional assessment. It’s based on how I feel during and after eating. How satisfied I’ll feel isn’t perfectly consistent. One day I may find 100g of some item optimal while I might prefer more or less of that item on a different day. By paying attention to my logs and connecting them to my inner sensations, I’m getting better at predicting what kinds of meals to make based on how I feel.

I don’t try to hold back from eating. I eat when I’m hungry. I just put a little more thought and care into making meals very satisfying relative to their calories.

Suppose you eat a 500-calorie lunch today. Have you ever considered how you might compose a 400-calorie lunch that’s actually more satisfying? If you could figure that out, you could shave off 100 calories per day while actually enjoying your lunch more. Now scale this up for every meal and snack, and come up with more solutions and variations. You could enjoy your food more while actually eating less.

I already eat an all vegan, mostly whole foods diet that typically includes 10+ servings of fruits and veggies per day, so take that into consideration. Making this diet highly nutritious isn’t an issue. But I don’t think I’d feel as emotionally satisfied if I tried to adapt this approach to a junk food diet. Whole foods leave me feeling better emotionally and physically.

I’ve been including some small indulgences, but I use them where they really add to the satisfaction. For instance, if I slice up two peaches (100 calories), and I add 50 calories worth of coconut whipped cream, that treat has a high appreciation density for its 150 calories, more than eating three peaches without the topping.

Another nice dessert is one date plus four pecan halves (80 cal). Split the date in two, and push two pecan pieces into each half – it’s like eating raw pecan pie. For this small addition of calories, it’s super satisfying as a little snack.

I don’t worry about empty calories in terms of low nutrition. I frame empty calories as too little satisfaction per calorie, which could include adding too much of an ingredient beyond a certain sweet spot of satisfaction.

By focusing on enjoying and appreciating my meals relative to their calories, I’m getting more appreciation per calorie today than I was when I started. I really enjoy the foods I eat. It feels like I’m doing the opposite of dieting, but I’m losing weight by eating this way.

This useful frame can be extended to other areas of life by generalizing the definition of appreciation density, like this:

Appreciation Density = Satisfaction / Cost

Cost could be your investment of time, energy, money, or some other factor.

So you could use this frame to select work projects, choose which friends to engage with, or decide how much time to spend on social media each day. Which investments satisfy you best? When does the satisfaction start to diminish?

Imagine what you could discover by combining this frame with time logging. Is 30 minutes of social media twice as satisfying as 15 minutes? How much journaling or meditation time is optimal for you? Would you feel more satisfied with an extra hour in the morning or the evening?

If you’re feel unsatisfied in some area of life, look at your appreciation density. Are you deriving enough satisfaction from your investments? If not, where’s the waste? Where are the empty calories? Where are you investing time, energy, money, or other resources and not getting much satisfaction in return? Obviously that waste needs to be cut if you want to increase your appreciation density.

Share Button