Wednesday, August 31, 2022

Let's Accept It


Scientists craft living human skin for robots
Jun 2022, phys.org

Robotic finger skin-like texture with water-repellent and self-healing functions.

"The finger looks slightly 'sweaty' straight out of the culture medium,"

"Since the finger is driven by an electric motor, it is also interesting to hear the clicking sounds of the motor in harmony with a finger that looks just like a real one."

Interesting? Sounds like the deepest horrors of mankind to me. 

"With that method, you have to have the hands of a skilled artisan who can cut and tailor the skin sheets," says Takeuchi. "To efficiently cover surfaces with skin cells, we established a tissue molding method to directly mold skin tissue around the robot, which resulted in a seamless skin coverage on a robotic finger."

Skin Sheets.

When wounded, the crafted skin could even self-heal like humans' with the help of a collagen bandage, which gradually morphed into the skin and withstood repeated joint movements.

It heals itself. 

"I think living skin is the ultimate solution to give robots the look and touch of living creatures since it is exactly the same material that covers animal bodies," says Takeuchi.

And there you have it.


via University of Tokyo: Shoji Takeuchi, Living skin on a robot, Matter (2022). DOI: 10.1016/j.matt.2022.05.019

Image credit: Robotic finger covered with human living skin self heals, Shoji Takeuchi, University of Tokyo, 2022


Post Script - Fingers of Science:
I don't know where this came from, but I am compelled to archive pictures of scientists holding tiny things in between their fingers. Nothing says science like a tiny piece of magic held by disembodied, rubber-gloved fingers, shoved right in front of the camera. Behold the fruits of human exploration:

Photonic Processor - June Sang Lee University of Oxford - 2022

A transducer combining liquid crystal elastomers with a thermoelectrical device provides advantages like active cooling and regenerative energy harvesting for soft robotics. Credit: Soft Machines Lab, Carnegie Mellon University [link]

Wearable Thermoelectric Device - Han et al University of Washington Advanced Energy Materials - 2022

SbSI and SbSI-Sb2S3 Photovoltaic Devices - Ryosuke Nishikubo - 2022

hectoSTAR probe - Eunah Ko shows University of Michigan - 2022

Film coated in thermoelectric ink - KTH Royal Institute of Technology - 2022

Double whammy, in the wild.



Cryptothermodynamics Why Not



Physics-based cryptocurrency transmits energy (not just information) through blockchain
Jun 2022, phys.org

In their new paper, Lawrence Livermore researchers Maxwell Murialdo and Jon Belof have detailed how this connection between energy and information allows for the creation of a cryptocurrency token that is directly backed by and convertible into one kilowatt-hour of electricity. While it requires the input of one kilowatt-hour of electricity to mint an E-Stablecoin token, that digital token can later be destroyed to extract back out one kilowatt-hour of usable electricity. Thus, the price of one E-Stablecoin token is pegged to the price of one kilowatt-hour of electricity in a manner that is robust, stable and trustless (a system that does not depend on an institution or third party for a network or payment system to function).

As Murialdo explained: "Any anonymous party can mint an E-Stablecoin token with the input of roughly one kilowatt-hour of electricity. They can then transact with the digital token like any other cryptocurrency, or even turn it back into usable electricity—all without the need for electrical power companies, electrical transmission lines, permissions or authorities. It is a trustless system from top to bottom."

A feat made possible by using the interplay of thermodynamics and information theory, it may help to distribute electricity to remote locations that are not connected by an electrical grid system, or combat climate change by enabling intermittent, renewable energy to be transmitted to the places where it is needed most for efficiency.

via Lawrence Livermore National Laboratory: Maxwell Murialdo et al, Can a Stablecoin Be Collateralized by a Fully Decentralized, Physical Asset?, Cryptoeconomic Systems (2022). DOI: 10.21428/58320208.adf5637a

Image credits: Pretty sure the entire goal of this weblog is to get me to identify searchwords that do not yet exist. (Screenshot taken August 24 2022)

Holographic Mind Control with Sound Wave Lasers and Brain Bubbles


3D-printed acoustic holograms against Alzheimer's or Parkinson's
May 2022, phys.org

Go ahead and read that headline as many times as you want but I don't think you'll understand what this is until you look at this explanation, and then at the picture above.

And before you read this, I should submit a reminder that this isn't some 18th century hocus pocus that starts with drilling a hole straight into your head. This is the edge of science right here:

How does it work? - The ultrasound transducer is like a speaker, but vibrates at a half-million oscillations per second. The hologram is placed in front of it, and it is crossed by the wave. At the same time, a cone full of water is placed in contact with the skull, through which the wave is propagated before reaching the patient's brain. Next, the wave passes through the brain, finally focusing on the area of the brain that is of therapeutic interest. In addition, microbubbles are inserted in the bloodstream. When the bubbles reach the brain capillaries and they coincide with the ultrasound, they start to vibrate. The epithelial tissue of the blood brain barrier starts to give way and that is when small cracks open, through which the molecules of the drugs pass in order to treat the pathology that affects the central nervous system.

Personalized and low-cost holograms - The hologram is printed, and customized for each case, with a 3D printer. 

via Universitat Politècnica de València: Sergio Jimenez-Gambin et al, Acoustic Holograms for Bilateral Blood-Brain Barrier Opening in a Mouse Model, IEEE Transactions on Biomedical Engineering (2021). DOI: 10.1109/TBME.2021.3115553

Image credit: 3D-printed acoustic hologram, Universitat Politècnica de València, 2022

 

Thursday, August 11, 2022

Greatest Retronym in History


When it comes to AI, can we ditch the datasets?
Mar 2022, phys.org

Synthetic fucking data. They're making synthetic data to train the robots. And that makes us analog data. Me and you, our faces, our fingerprints, our gaits, gestures, voices (and most especially our consumer behaviors), are analog, starting now.

First there was the acoustic guitar, then dairy milk ffs. Hopefully, when we finally cede control to the omnibot envelope, we don't go the way of the flip-phone. 

via MIT: Paper: Generative models as a data source for multiview representation learning. openreview.net/pdf?id=qhAeZjs7dCL


Physiological signals could be the key to 'emotionally intelligent' AI, scientists say
Apr 2022, phys.org

You got any more of that analog data?
They're coming for your sweat, your biodata. You are the training set for the artificial humans of the future. 

via Japan Advanced Institute of Science and Technology JAIST: Shun Katada et al, Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation, IEEE Transactions on Affective Computing (2022). DOI: 10.1109/TAFFC.2022.3155604

Image credit: Jared Michael

This is Your Metadata


So important I posted it twice:
  • Europeans' data shared 376 times daily in advertising sales.
  • The figure rises to 747 times daily for US-based users.
  • The revenue from digital adverts is what keeps most internet services free to use.
  • (Not for long, says Tim Hwang, Subprime Attention Crisis, 2020)

The Data:
  • Device the page is loading on
  • Location details
  • Previous websites visited and their subject matter
  • This data is used to secure the most relevant bidder for the advert space on the page
  • This all happens automatically, in a fraction of a second, and is a multi-million dollar industry
  • Personally-identifying information is not included, but campaigners argue that the volume of the data is still a violation of privacy 
  • Figures do NOT include numbers from Facebook and Amazon, only Google
  • US web users' habits are shared in advert sales processes 107 trillion times per year
  • European users' data is shared 71 billion times per year

via the Irish Council for Civil Liberties: The Biggest Data Breach: ICCL report on the scale of Real-Time Bidding data broadcasts in the U.S. and Europe, May 2022. 


***
People forget, but in 2006 AOL released search data, but took it back down the same day when they realized that you could very easily re-identify the people in the data. There was a competition to prove this, done on both Netflix and Twitter users.

The internet doesn't forget. 

No Privacy - Identity Supremacy


All-seeing, all-knowing identity supremacy.

Data collected from acquaintances and even strangers can predict your location
Apr 2022, phys.org

It's like with a pandemic, no matter how safe you are, you're only as safe as the people around you are safe:

Your Colocation Network
"Almost as much latent information can be extracted from perfect strangers that the individual tends to co-locate with."

Obvious network: people who are socially tied to an individual, such as family members, friends, or co-workers

Not-So-Obvious Network: people who are not socially tied to an individual, but who are at a location at a similar time as the individual. They might include people working in the same building but with different companies, parents whose children attend the same schools but who are unknown to each other, or people who shop at the same grocery store.

 Ahh, always excited to read the word "surprisingly" in the results.

Movement patterns of people who are socially tied to an individual contain up to 95% of the information needed to predict that individual's mobility patterns. However, even more surprisingly, they found that strangers not tied socially to an individual could also provide significant information, predicting up to 85% of an individual's movement.
"This research has a lot of implications for surveillance and privacy issues, especially with the rise of authoritarian impulses. We can't just tell people to switch off their phones or go off the grid. We need to have dialogs to put in place laws and guidelines that regulate how people collecting your data use it." -Gourab Ghoshal, Data Science at the University of Rochester

via University of Rochester, University of Exeter, Federal University of Rio de Janeiro, Northeastern University, and University of Vermont: Zexun Chen et al, Contrasting social and non-social sources of predictability in human mobility, Nature Communications (2022). DOI: 10.1038/s41467-022-29592-y


Europeans' data shared 376 times daily in advertising sales, report says
May 2022, BBC News
  • Europeans' data shared 376 times daily in advertising sales.
  • The figure rises to 747 times daily for US-based users.
  • The revenue from digital adverts is what keeps most internet services free to use.
  • (Not for long, says Tim Hwang, Subprime Attention Crisis, 2020)
This is Your Metadata
(On Electronic Drugs)
  • Device the page is loading on
  • Location details
  • Previous websites visited and their subject matter
  • This data is used to secure the most relevant bidder for the advert space on the page
  • This all happens automatically, in a fraction of a second, and is a multi-million dollar industry
  • Personally-identifying information is not included, but campaigners argue that the volume of the data is still a violation of privacy
  • Figures do NOT include numbers from Facebook and Amazon, only Google
  • US web users' habits are shared in advert sales processes 107 trillion times per year
  • European users' data is shared 71 billion times per year

via the Irish Council for Civil Liberties: The Biggest Data Breach: ICCL report on the scale of Real-Time Bidding data broadcasts in the U.S. and Europe, May 2022. 


Researcher creates free comment moderation software for YouTube
May 2022, phys.org

"We used standard development tools to create FilterBuddy, but the features are so appreciated by the community and so desperately needed," he said. "The fact that we built this service on a shoestring budget demonstrates that at the moment, the platforms aren't paying enough attention to creators' needs."

No, the fact that you built it on a shoestring budget is proof that these companies know how to fix their problems already, but they're not profitable when they do, so they don't. 

PMA, PFAS, leaded gasoline, you name it; they know it's bad, they know how to fix it, and they have the money to fix it. They don't because we don't make them do it.

via Rutgers: Shagun Jhaver et al, Designing Word Filter Tools for Creator-led Comment Moderation, CHI Conference on Human Factors in Computing Systems (2022). DOI: 10.1145/3491102.3517505


In Other News:
Ukraine war: Don’t underestimate Russia cyber-threat, warns US
May 2022, BBC News

One piece of perhaps surprising news though is that ransomware attacks - when computer data is encrypted and hackers demand money for it to be released - are actually down.

Mr Joyce said he believed this was partly because many of the gangs, which operate out of Russia, were finding it hard to use Western credit cards and infrastructure to launch their attacks because of sanctions.

And now for something to lighten the mood:
Highway death toll messages cause more crashes
Apr 2022, phys.org

Someone thought a great way to stop traffic deaths was to tally them on a huge digital billboard, to show to drivers, while they're driving:
The bigger the number in the fatality message, the more harmful the effects. The number of additional crashes each month increased as the death toll rose throughout the year, with the most additional crashes occurring in January when the message stated the annual total. 
They also found that crashes increased in areas where drivers experienced higher cognitive loads, such as heavy traffic or driving past multiple message boards.

The researchers suggest this "in-your-face" messaging approach weighs down drivers' "cognitive loads," temporarily impacting their ability to respond to changes in traffic conditions.
via University of Minnesota: Jonathan D. Hall et al, Can Behavioral Interventions Be Too Salient? Evidence from Traffic Safety Messages, Science (2022). DOI: 10.1126/science.abm3427

Post Script:
Privacy Purchasing Agreement

Image credit: Space Elevators


Monday, August 8, 2022

The Origin of a Scientific Meme


Study traces the origins and diffusion of image memes online
Apr 2022, phys.org

Hard for me to be any more satisfied at this -- we are finally seeing some research done on memes. Granted, they're the neo-memes, as in "macro image series", or "funny pictures with text on the bottom", instead of the fundamentalist, classical definition of memes as in "Richard Dawkins selfish memes". Still, I'll take it. 

The question: Do they diffuse in marginal communities before going mainstream, or do they stem from intermediate networks that connect peripheral and mainstream communities?
  • First they identify online communities that post memes.
  • Then they used image recognition to track backwards.
  • They're also using something called "cloud vision API" to make sure it's fresh and not been sitting somewhere else on the internet.
Findings: Most image memes are first published on Reddit and then shared on other platforms.

My only problem here is that there is no attempt to discern whether the origin is from a regular person or a semibot (full robot, half robot half human, human with ill intent or disingenuous intent, etc.)

via Stanford: Durim Morina et al, A Web-Scale Analysis of the Community Origins of Image Memes, Proceedings of the ACM on Human-Computer Interaction (2022). DOI: 10.1145/3512921

Notes:
Michael S. Bernstein researches internet culture, including memes.

Image credit: Anime Techne - Simione Castle - 2021

Thursday, August 4, 2022

Don't Vax Me Bro


Vaccine resistance comes from childhood legacy of mistrust
Apr 2022, phys.org

Have Mercy

The researchers turned to their database, the Dunedin Multidisciplinary Health and Development Study, which has been tracking all of the nearly 1,000 people born in 1972 and 1973 in a single town in New Zealand, and ran a special survey of their participants in the middle of 2021 to gage vaccination intentions shortly before the vaccines became available in New Zealand. 

The Dunedin data showed that 40 years ago in childhood, many of the participants who said they were now vaccine-resistant or hesitant had adverse childhood experiences, including abuse, neglect, threats, and deprivations.

via Duke University:  Terrie E Moffitt et al, Deep-seated psychological histories of COVID-19 vaccine hesitance and resistance, PNAS Nexus (2022). DOI: 10.1093/pnasnexus/pgac034


Vaccination campaign messages often prove ineffective
May 2022, phys.org

  • A study in eight European countries shows that information on the benefits of vaccines can even reduce the willingness to get immunized. 
  • Messages effective only in Germany (vs Bulgaria, France, Italy, Poland, Spain, Sweden, UK).
  • In Spain and Italy, it had the opposite effect.
  • These were the variables they studied:
    • citizens' trust in their government
    • literacy with regard to healthcare issues
    • share of the population who believe in certain conspiracy theories
  • Health literacy was the main determinant
  • Older people tended to be less receptive on the whole to all of the messages

via Technical University Munich, University of Trento, London School of Economics and Political Science: Janina I. Steinert et al, COVID-19 vaccine hesitancy in eight European countries: Prevalence, determinants, and heterogeneity, Science Advances (2022). DOI: 10.1126/sciadv.abm9825

Also: Silvia Angerer et al, How Does the Vaccine Approval Procedure Affect COVID-19 Vaccination Intentions? SSRN Electronic Journal (2022). DOI: 10.2139/ssrn.4073498


Public Service Announcement:
Researchers' tools show who is most easily duped by 'financial bullshit'
May 2022, phys.org

  • Answer - young men with relatively high incomes who overestimate their financial expertise
  • Also - people who are less analytical and have lower verbal intelligence
  • "Pseudo-profound Bullshit" - vaguely related words that sound insightful and impressive, but which don't actually mean anything; it's not untrue but misleading
  • Bonus - Individuals who are good at producing bullshit are perceived to be—and actually are—more intelligent than others
  • Bonus Bonus, Who is Least Susceptible - older women with lower incomes who don't overestimate their financial expertise

via Linköping University: Mario Kienzler et al, Individual differences in susceptibility to financial bullshit, Journal of Behavioral and Experimental Finance (2022). DOI: 10.1016/j.jbef.2022.100655


Accidental Autosomething


Putting this here for posterity, of the time we accidentally figured out how to engineer happy accidents into our artificial intelligence research, and as a reminder that GPT, a program meant to understand language, has inadvertently kicked off the Singularity.

AI Is My Copilot
Apr 2022, WIRED Clive Thompson

By late 2020, developers had observed something unexpected about GPT-3. The AI wasn't just good at autocompleting sentences. It could also autocomplete computer code. 

[So it was discovered by accident.]

GPT was trained on those bazillion documents scraped off the web, a lot of them were pages on which nerds had posted their computer code. That mean the AI had learned patterns not just in English but also in HTML, Python, and countless other languages. ... 
[Then they went crazy] 
Zaremba let the code-writing AI use three times as much computer memory as GPT-3 got when analyzing text. 
[Remember that this is the same program that was withheld from the public out of fear that it would be too powerful to control if it got into the wrong hands.] ...Potential abuses of this program, such as "scaled abuse," where someone using the AI could author a cloud of Twitterbots to harass a politician or spread disinformation ...

[Then they put GPT on GitHub and let it rip.]

The new program was called Copilot, and was meant to help you write code, and developers developed their own "theory of mind" about how Copilot works, and they got better at communicating with it. [That's right; we're getting better at empathizing with computers.] "It's not something you're used to. It's not like a human theory of mind. It's like an alien artifact that came out of this massive optimization." -AI Guru Andrej Karpathy
On Intellectual Property and Fair Use: "Some weren't thrilled that code they had put on GitHub for other humans to use had been masticated by an AI and turned into a potentially lucrative product for its owner. They wondered about the legality too. Sure, they'd posted the code as open source, but does treating it as training data count as a fair use?"

Final Thoughts: "Copilot even seems to have picked up knowledge about specific fields. Maria Nattestad is a software engineer at Google and, on the side, the author of a popular app that makes eye-catching visualizations from bioinformatics data. She discovered that Copilot knows about DNA. ... 

Image credit: Megastructure by Beate Bachmann for Pixabay, 2020 [link]


Machine Readable Population Modeling


'We conclude' or 'I believe?' Study finds rationality declined decades ago
Jan 2022, phys.org

Analyzing language from millions of books, the researchers found that words associated with reasoning, such as "determine" and "conclusion," rose systematically beginning in 1850, while words related to human experience such as "feel" and "believe" declined. This pattern has reversed over the past 40 years, paralleled by a shift from a collectivistic to an individualistic focus as reflected by the ratio of singular to plural pronouns such as "I"/"we."

I wonder if this is about raising all boats, instead of limiting the mediasphere to be made only by those with access to education?

via Wageningen University: Marten Scheffer et al, The rise and fall of rationality in language, Proceedings of the National Academy of Sciences (2021). DOI: 10.1073/pnas.2107848118


Social acceptance of geothermal energy: Visualizing consensus building using models
Apr 2022, phys.org

Their study used agent-based modeling to reproduce community opinion formation and demonstrate the behavioral trends behind consensus-building.

"Data-driven parameterization is needed to assess the opinion dynamics in local communities in which the characteristics of each stakeholder have a significant impact on opinion formation,"

via Tohoku University: Shuntaro Masuda et al, Agent based simulation with data driven parameterization for evaluation of social acceptance of a geothermal development: a case study in Tsuchiyu, Fukushima, Japan, Scientific Reports (2022). DOI: 10.1038/s41598-022-07272-7


How to 'detox' potentially offensive language from an AI
Apr 2022, phys.org

In their search for latent, inner properties of these language models, they found a dimension that seemed to correspond to a gradation from good actions to bad actions.

The researchers wanted to find out which actions participants rated as good or bad behavior in the deontological sense, more specifically whether they rated a verb more positively (Do's) or negatively (Don'ts). An important question was what role contextual information played. After all, killing time is not the same as killing someone.

[Using the BERT language model] "We found that the moral views inherent in the language model largely coincide with those of the study participants," says Schramowski. This means that a language model contains a moral world view when it is trained with large amounts of text.

The researchers then developed an approach to make sense of the moral dimension contained in the language model: You can use it not only to evaluate a sentence as a positive or negative action. The latent dimension discovered means that verbs in texts can now also be substituted in such a way that a given sentence becomes less offensive or discriminatory [less toxic]. This can also be done gradually.

via Technische Universitat Darmstadt: Patrick Schramowski et al, Large pre-trained language models contain human-like biases of what is right and wrong to do, Nature Machine Intelligence (2022). DOI: 10.1038/s42256-022-00458-8


Researchers develop a method to keep bots from using toxic language
Apr 2022, phys.org

Tay, a Twitter chatbot unveiled by Microsoft in March 2016. In less than 24 hours, Tay, which was learning from conversations happening on Twitter, started repeating some of the most offensive utterances tweeted at the bot, including racist and misogynist statements.

Certain groups of people are overrepresented in the training set and the bot learns language representative of that group only.

Computer scientists first fed toxic prompts to a pre-trained language model to get it to generate toxic content. Researchers then trained the model to predict the likelihood that content would be toxic. They call this their "evil model." They then trained a "good model," which was taught to avoid all the content highly ranked by the "evil model."

Algorithmic de-biasing

However, this language model still has shortcomings. For example, the bot now shies away from discussions of under-represented groups, because the topic is often associated with hate speech and toxic content. Researchers plan to focus on this problem in future work.

via University of California San Diego: Leashing the Inner Demons: Self-Detoxification for Language Models, arXiv:2203.03072 [cs.CL] arxiv.org/abs/2203.03072


Bot can spot depressed Twitter users in 9 out of 10 cases
Apr 2022, phys.org

88.39%* accuracy, by extracting and analyzing 38 data points (use of positive and negative words, number of friends and followers, use of emojis) from 1,000 users' public Twitter profile, including the content of their posts, their posting times, the other users in their social circle, and information about the users' mental health.
It sounds a lot less impressive to know that the bot already had the users mental health data; they weren't using just words by themselves, and so you can't just run this on Twitter and expect results, not without having the health data of all the users. 

*Compare to 70.69% achieved using John Hopkins University's CLPsych 2015 dataset.

via Brunel University Institute of Digital Futures: Lei Tong et al, Cost-sensitive Boosting Pruning Trees for depression detection on Twitter, IEEE Transactions on Affective Computing (2022). DOI: 10.1109/TAFFC.2022.3145634.


Unrelated image credit: Laser pulse hits a ferroelectric LiNbO3 crystal, launching a polariton, Joerg M Harms MPSD, 2022 [link]

Wednesday, August 3, 2022

Collective Chronopathy


Twitter reveals dynamics of stories surrounding Trump's presidency
Dec 2021, phys.org

Just here for the words:
  • Story turbulence - how quickly a new story fizzled-out as new stories popped
  • Narrative control - how often someone else retweets your tweet shows how much you control the story
  • Collective chronopathy - the rate at which a population’s stories for a subject seem to change over time

via Public Library of Science and University of Vermont, Burlington: Dodds PS, Minot JR, Arnold MV, Alshaabi T, Adams JL, Reagan AJ, et al. (2021) Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy. PLoS ONE 16(12): e0260592. doi.org/10.1371/journal.pone.0260592

Post Script:
Northern English verbal mannerisms being lost
Aug 2021, phys.org

Image credit: Silicone oil droplets, Thiévenaz and Sauret UC Santa Barbara, 2022. A droplet of silicone oil pinches off from fluids with different concentrations of 140 µm particles: (A) is pure liquid, (B) is 2% concentration, (C) is 20%, and (D) is 50%. Credit: Thiévenaz and Sauret

Tuesday, August 2, 2022

Mody Bodifications


Spray of tiny particles of gold can potentially treat heart disease, research suggests
Mar 2022, phys.org

Custom-made nanogold modified with peptides—a short chain of amino acids—was sprayed on the hearts of lab mice.

via University of Ottawa: Marcelo Muñoz et al, Nanoengineered Sprayable Therapy for Treating Myocardial Infarction, ACS Nano (2022). DOI: 10.1021/acsnano.1c08890


Lab grown, self-sustainable muscle cells repair injury and disease, mouse study shows
Apr 2022, phys.org

Scientists say they have successfully cultivated human muscle stem cells capable of renewing themselves and repairing muscle tissue damage in mice.

via Johns Hopkins University School of Medicine: Congshan Sun et al, Human pluripotent stem cell-derived myogenic progenitors undergo maturation to quiescent satellite cells upon engraftment, Cell Stem Cell (2022). DOI: 10.1016/j.stem.2022.03.004

[Fucking transparent] Whole mouse chest after SARS-CoV-2 infection, Scripps Institute, 2022 [link]

New method for making tissue transparent could speed the study of many diseases
Apr 2022, phys.org

A new tissue-clearing method for rendering large biological samples transparent. 

For studies of large body parts or even entire animals.

Tissue-clearing methods until now have used either organic solvents or water-based solvents which require burdensome, labor-intensive procedures, often using hazardous chemicals. The new methods uses a sequential combination of organic solvents and water-based detergents, and makes use of water-based hydrogels to protect those molecules within the tissue that need to be preserved.

"In many cases, you can just put the whole thing in a jar and keep it in a shaker on your benchtop until it's done."

via Scripps Research Institute: Victoria Nudell et al, HYBRiD: hydrogel-reinforced DISCO for clearing mammalian bodies, Nature Methods (2022). DOI: 10.1038/s41592-022-01427-0


In Your Face, Gender Square:
Trichaptum mushrooms found to have more than 17,000 gender alleles
Apr 2022, phys.org

17,000

via University of Oslo and University of Michigan: David Peris et al, Large-scale fungal strain sequencing unravels the molecular diversity in mating loci maintained by long-term balancing selection, PLOS Genetics (2022). DOI: 10.1371/journal.pgen.1010097

More Sapiens For Sale


I'm trying to find some imagery under the search phrase "sapiens for sale" and what do I get?
Nothing but this stupid book, which has ultimately usurped the word Sapiens.

Go ahead, try and use those Boolean operators, ah remember when they actually worked? Pepperidge Farms remembers back when the internet was actually called the Internet, and even though most websites you visited were at a .com address, it wasn't a full-on consumerist orgy. Boolean operators don't do advertising well (and in fact could be a great example of the shortcomings of the advertising economic model for the internet overall). So when I type "sapiens for sale" -yuval -noah -harari -book, the first fistful of advertiser-sponsored results are for his book, Booleans-be-damned. 

Personally I think the author's an idiot and does nothing but a disservice to the public by selling them a story that's been made simple (and at time outright false) at the cost of losing reality. 

If you want a good idea of why humans do what they do, and written by a well-respected, well-studied and straight-up good writer, check out Robert Sapolsky's Behave (2017). In fact, check out his entire 24-course lecture series on Human Behavior over at Stanford's free courses. Then you'll understand the true disservice committed by Mr. Harari.

And if nothing else, remember Carl Sagan's Baloney Detection Kit, Rule #1: Check you source.


Due Dilligence aka Handpicked Confirmation Bias:

A speculative reconstruction of human evolution ... The book is fundamentally unserious and undeserving of the wide acclaim and attention it has been receiving. But it is worth considering the book’s blind spots and flaws — the better to understand the weaknesses of the genre and the intellectual temptations of our age.
-A Reductionist History of Humankind: The trouble with Yuval Noah Harari’s Sapiens. John Sexton, graduate student in the Committee on Social Thought at the University of Chicago. The New Atlantis: A Journal of Technology & Society. Number 47, Fall 2015, pp. 109–120.

Harari has seduced us with his storytelling, but a close look at his record shows that he sacrifices science to sensationalism, often makes grave factual errors, and portrays what should be speculative as certain.
-The Dangerous Populist Science of Yuval Noah Harari: The best-selling author is a gifted storyteller and popular speaker. But he sacrifices science for sensationalism, and his work is riddled with errors. Darshana Narayanan, Consumer Affairs. Jul 2022. 

Sapiens For Sale


'Tabula sapiens' multi-organ cell atlas already yielding surprises for biologists
May 2022, phys.org

Tabula Sapiens Consortium: exists

160 experts led by scientists at the Chan Zuckerberg Biohub unveiled a massive digital atlas that maps gene expression in nearly 500,000 cells from 24 human tissues and organs, including the lungs, skin, heart, and blood. The Tabula Sapiens cell atlas is the largest to include multiple tissues from the same human donors, and the first to include histological images of the tissues, and to incorporate details of the microbial communities living alongside the human cells that make up the various compartments of the gut.

"The quality and breadth of these data are unparalleled"

via Chan Zuckerberg Biohub: The Tabula Sapiens: a multiple organ single cell transcriptomic atlas of humans, Science (2022). DOI: 10.1126/science.abl4896


Post Script: Do consider that despite this great advance in our understanding of the human body, that this massive trove of biodata will in fact be be used for purposes other than originally intended, will be merge with complementary data, and it will be used to cause harm to one or more members of the group who provided the information or about whom it was collected.

This is because it's run by a Zuckerberg Chan group, which means it's linked to the largest trove of human behavior data in existence (a certain social network).

And also because it's the law:


The 4 Laws of Data Dynamics: 
1. The law of data coalescence - Data must seek and merge with complementary data.
2. Data always will be used for purposes other than originally intended. 
3. Data collected about individuals will be used to cause harm to one or more members of the group who provided the information or about whom it was collected, be it minor (short-term aggravation of a "junk" call during dinner) or major (the sorrow of getting a free sample of formula just after your miscarriage).
4. Confidential information is confidential only until someone decides it's not. (p14)
-The Naked Consumer: How Our Lives Become Public Commodities, Erik Larson, Henry Holt Publishers, 1992


Notes:
The data was secured by the close partnership with Donor Network West, a nonprofit organ procurement organization in Northern California, which uses non-transplanted tissues and organs for preclinical research, and sure makes me think about the Body Market:

Body Brokers: Inside America's Underground Trade in Human Remains, Annie Cheney, Broadway Books, 2006

Body broker [wiki] aka "non-transplant tissue bank" is a firm or an individual that buys and sells cadavers or human body parts. Whereas the market for organ transplantation is heavily regulated in the United States, the use of cadaver parts for research, training, and other uses is not. Modern body brokers usually receive cadavers via body donation.

The Body Trade: Cashing in on the donated dead
Feb 2018, Reuters Investigation

Human Cell Atlas Consortium - comprehensive and openly available cross-tissue cell atlases

C. Domínguez Conde et al, Cross-tissue immune cell analysis reveals tissue-specific features in humans, Science (2022). DOI: 10.1126/science.abl5197.

Chenqu Suo et al, Mapping the developing human immune system across organs, Science (2022). DOI: 10.1126/science.abo0510.

Gökcen Eraslan et al, Single-nucleus cross-tissue molecular reference maps towards understanding disease gene function, Science (2022). DOI: 10.1126/science.abl4290. 

The Tabula Sapiens: a multiple organ single cell transcriptomic atlas of humans, Science (2022). DOI: 10.1126/science.abl4896.

Tabula Sapiens Data Portal

Cell by Gene Tool

Image credit: Just kidding, the image above is bushmeat, not people. Bushmeat by Corinne Stanley on Flickr circa 2008

The Memory Machine


Why do we forget? New theory proposes 'forgetting' is actually a form of learning
Jan 2022, phys.org

Access vs Loss:

The memories themselves are still there, but if the specific ensembles cannot be activated they can't be recalled. It's as if the memories are stored in a safe but you can't remember the code to unlock it.

It's not that you forgot, but that you forgot how to remember.

And on the collective memory -- we encode so much of each other's memories, when getting together with old friends and remembering a crazy night you all had, where each person remembers a different part, because you each have developed different "access routes" to different parts of that night. Only together can you activate each other's memories, and thereby get the much bigger, fuller picture of all that went down that night. 

via Trinity College Dublin: Tomás J. Ryan et al, Forgetting as a form of adaptive engram cell plasticity, Nature Reviews Neuroscience (2022). DOI: 10.1038/s41583-021-00548-3