Virtual Zoom event
Thursday, November 14, 2024, 7 – 8:30pm

Sycamore Land Trust and Citizens’ Climate Lobby Indiana present a free lecture and Q&A with Dr. Richard Phillips “From Tree Tops to Deep Roots: The Role of Eastern Forests as Carbon Sinks.” We’ll discuss how eastern forest ecosystems serve as important carbon sinks that can help mitigate rapid climate change, and explore above- and below-ground processes in forests and how they contribute to the land sink for carbon. Dr. Richard Phillips is a Professor of Biology at Indiana University, Bloomington, Director of the Ecology and Evolutionary Biology Graduate Program, and Science Director at IU Research and Teaching Preserve.

Presenter: Sycamore Land Trust and Citizens' Climate Lobby Indiana
Contact: Kate Hammel, Communications Director
Cost: Free
Ticket Phone: 812-336-5382
Ticket Web Link: sycamorelandtrust.org…
Communities: Bedford, Bloomington, Brown County, Columbus, Franklin, French Lick/West Baden, Greencastle, Greene County, Greensburg, Greenwood, Indianapolis, Kokomo, Martinsville, Seymour, Spencer, Statewide, Terre Haute
More info: sycamorelandtrust.org…

by Suzette Smith

The Mercury provides its readers with interesting and useful news & culture reporting every single day. If you appreciate that, consider making a small monthly contribution to support our editorial team. If you read something you like, something you don't like but are glad to know about, and/or something you can't find anywhere else consider a one-time tip. It all goes in the same pot and it all goes to the editorial team. Thanks for your support!

Good Morning, Portland! We're still "turning and turning in the widening gyre" over here, and we may be for quite some time.

IN LOCAL NEWS:
• Last night's round of election results arrived without any notable changes in the Portland City Council races. News editor Courtney Vaughn writes: "With Keith Wilson securing the mayor’s seat the day prior, results in City Council districts largely held firm."

• While the national election results have been [understatement incoming] pretty distressing, local races are lined with silver. The Columbian reports Rep. Marie Gluesenkamp Perez has maintained her lead over far-right, perennial challenger Joe Kent. The Oregonian has a good breakdown of the race and history of Gluesenkamp Perez's hard-fought win.

• PCC Automotive Service Technology Program instructor Jay Kuykendall has been named this year's Educator of the Year by the North American Council of Automotive Teachers, Portland Tribune reports. "Kuykendall oversees the auto shop lab and teaches engine performance classes, along with elective courses like Subaru U, electrified vehicles and light-duty diesel."

• Beloved local coffee chain Jim and Patty's Coffee announced earlier this week that it will close its remaining two locations, in Beaverton and in Portland, on November 11. "Thank you all from the bottom of our hearts for your support..." owner Patty Roberts wrote. "Now I will need to find a job. If anyone has any ideas for an old lady who has been off the job market for over 40 years, let me know!" ???? For more backstory, check out this Mercury piece about the struggling coffee shops from October.

• There was once a time in Portland when one could easily—well, depending on connection issues—rent a cheery little blue and white hybrid car to drive. The little smart cars were great for unforgiving rain showers and surprisingly solid in the snow. Car2Go merged with Reachnow in 2018, then tanked in 2019. In 2021, Free2Move announced it would drop a "fleet of 200 Jeep Renegades" for Portland consumers to rent, but the cumbersome cars departed once more in 2023. This week MSN reposted that story from 2023, so some people have been letting us know about it. Sorry about MSN, and this all happened last year. Still fun to revisit this tweet:

so let me get this straight

car2go joins sharenow, while reachnow becomes reachnow pic.twitter.com/gJi7R6YZ8e

— Cabel Sasser (@cabel) March 4, 2019

• Politicians are politicians, but I find Sen. Jeff Merkley's vibe calming:

          View this post on Instagram                      

A post shared by Senator Jeff Merkley (@senjeffmerkley)

• Every week, the Mercury gives out free tickets to local shows and this week we've got sweet tix for Reverend Horton Heat, Des Demonas, Karina Rykman and moooore—check'm out and win with our Free Ticket Thursday giveaway!

IN NATIONAL / INTERNATIONAL NEWS:
• I can't immediately find who said this, but I think it's a valid concern: As we watch the transition back to a Trump administration presidency, the cabinet appointments are probably going to feel like being repeatedly punched in the face. President-elect Donald Trump named Florida strategist Susie Wiles as his White House chief of staff on Thursday. Wiles has run his political operation for nearly four years, making her one of the few people to survive at his side for any length of time. What's Wiles deal? Nepo baby. Ronald Reagan campaign staffer. Wiles has been credited with putting Rick Scott in Florida's governor’s office. Associated Press has a nice, long profile on her this morning. Is she going to tear the tampon machine out of the White House bathroom again? We're watching.

• A Biden administration initiative known as “Keeping Families Together” was struck down by a Texas-based US District judge yesterday; Judge J. Campbell Barker argued that the Biden administration had overstepped its authority with its attempt to lessen barriers to citizenship for undocumented immigrants married to US citizens.

• Soccer fans did violence again, but this time it might be motivated by cultural and political friction. NPR reports that "leading political figures in the Netherlands have condemned the violence that followed a match between a Dutch team Ajax and Tel Aviv's Maccabi. According to NPR, "Dutch police said 62 people have been arrested following several clashes." Amsterdam mayor Femke Halsema described local men seeking out Israeli fans on scooters. Dutch police chief Peter Holla said fans of Tel Aviv Maccabi had "set a Palestinian flag on fire in the city and attacked a taxi." Dutch authorities have banned demonstrations through the weekend.

• Happy Martian New Year... soon! In Scientific American Phil Plait writes: "Why would anyone pick November 12 as New Year’s Day for Mars? And why does our official reckoning of Martian time set the eons-old Red Planet only in its 38th year? The answer involves a combination of natural cycles and the human need to impose order via somewhat arbitrary timekeeping—pretty much like on Earth."

• And now we part—wishing a fine weekend to my naysayers and hatchet men in the fight against violence.

Bangladesh defies the stereotypes. It was born in poverty but has risen up the income ladder and is a model of health progress. Will the current political upheaval take a toll on its impressive achievements?

Nearing 80, the solo artist has a new album out. Decades after she brought a gospel score to the civil rights movement with The Staple Singers, she remains hopeful in her enduring mission for change.

This time of year, you're likely to see cars and pickup trucks heading home on the highways with fresh-cut Christmas trees tied to roofs or in the truck beds. Fraser firs, Korean firs, Balsam firs, and Spruce (ouch!)... So today on Something Wild we take a look at Christmas tree farms, and the important habitats they provide for New Hampshire wildlife. You might be heartened to know that tree farms are a unique land use, and serve as early successional habitat, one that is neither residential neighborhood, cropland, nor deep forest. It's a landscape that was far more common a century ago, before small family farms began to vanish. Early successional habitats are an incubator: warm, sunny, scrubby zones with a variety of foods...like grasses, weeds and sometimes fruit-bearing shrubs or vines…raspberries, blackberries and grapes. Anything sun-loving, including fast-growing tree seedling and saplings. Tree farms provide ample food and shelter to a wide variety of disturbance-adapted

It’s an unmistakable sound. One that elicits memories, sights and scents of events long ago. It recalls the joy of youth, the possibility of a spring evening. But it can also incite insomnia and the blind rage that accompanies it.

Warren Buffett is now sitting on more than $325 billion cash after continuing to unload billions of dollars worth of Apple and Bank of America shares this year and continuing to collect a steady stream of profits from all of Berkshire Hathaway’s assorted businesses without finding any major acquisitions.

Source: REX Scientists say that those people who start working before 10 a.m. torture themselves voluntarily. A workday is supposed to comply with biological rhythms that do not fit into the standard working day from 9:00 to 17:00.Is it true? What is the best time to start working not to cause damage to one's health? Pravda.Ru asked this question to Alexei Kozlov, Candidate of Physiological Sciences, specialist in pain mechanisms at the Institute of Normal Physiology."One should not generalize here, because all people are different. There are early risers and night persons, and well all have our own time range for work. Making individual schedules for every person is impossible," the physiologist said. Scientists established that sleeping less than six hours for seven days causes as many as 711 physiological changes, including gene function failure. In addition, a lack of sleep makes a person more prone to alcohol and drugs."Sleep is not just the rest that we need to have. This is an active process, during which many hormones are produced. Our chronology depends on melatonin. This hormone is needed so that a person could have good sleep. Yet, modern lifestyles delay the production of this hormone," the specialist said. "The shortage of melatonin leads to faster aging - this was proved in tests on animals, when scientists discovered that melatonin brings certain blood parameters in aged animals to levels found in young animals. This is not something that happens in humans. If a human being does not sleep well, the sleep deprivation factor interrupts the work of certain genes and makes life shorter," he added. "The evolution of humans takes relatively a very short time in history. Our biological clock does not work according to our modern lifestyle. Residents of the Caucasus are known for their ability to live for more than 100 years. They have a high level of melatonin," Alexei Kozlov told Pravda.Ru. "If you try to make your work hours match your biological clock, the melatonin level will normalize," he added. Pravda.Ru Read article on the Russian version of Pravda.Ru

The October 18 blackout paralyzed Cuba completely. The Cuban government tries to shrug the problem off by making references to the economic blockade, although the leadership of the island of freedom with no electricity should rather look at its own effectiveness. Total blackout in Cuba: three days without electricity and water Blackout, or apagon in Spanish, is a long-standing problem in Cuba that the island nation has been living with since the 1970s. Yet, this is the first time when the country experienced such a large-scale accident. On Friday, October 18, the Cuban electrical system was completely shut down as a result of an emergency at its main thermal power plant Antonio Guteras in Matanzas. This thermal power plant has not been modernized since 1988. The Cubans had to live without electricity and water for three days. All institutions and industries stopped and thus put the country's security in jeopardy.

While discounts and sales events have long been associated with holiday shopping, new data from e-commerce provider Visualsoft reveals that consumers are motivated by more than just deep discounts when it comes to their seasonal and gifting purchases.

Added February 17, 2006:

Added February 17, 2006:

[Sports] :
Men's national football team head coach Hong Myung-bo has cast doubt over captain Son Heung-min's availability in the upcoming World Cup qualifiers next month. During a press conference on Monday, Hong announced the roster for October's World Cup qualifiers, which included the Tottenham Hotspur star ...

[more...]

You bought a calathea plant, and now have to learn how to care for it. Learn about how to care for a calathea plant in this article.

Explore Aquarius Season's unique energy, from innovation to social connection. Learn how this zodiac period influences creativity, relationships, and self-expression.

Explore Cancer and Taurus compatibility, where stability meets sensitivity. Learn how these signs create lasting love through trust, loyalty, and mutual understanding.

Deep-sea mining evidence review published  British Geological Survey

New report assesses deep geothermal energy in the UK  British Geological Survey

Bone material contains a hierarchical network of micro- and nano-cavities and channels, known as the lacuna-canalicular network (LCN), that is thought to play an important role in mechanobiology and turnover. The LCN comprises micrometer-sized lacunae, voids that house osteocytes, and submicrometer-sized canaliculi that connect bone cells. Characterization of this network in three dimensions is crucial for many bone studies. To quantify X-ray Zernike phase-contrast nanotomography data, deep learning is used to isolate and assess porosity in artifact-laden tomographies of zebrafish bones. A technical solution is proposed to overcome the halo and shade-off domains in order to reliably obtain the distribution and morphology of the LCN in the tomographic data. Convolutional neural network (CNN) models are utilized with increasing numbers of images, repeatedly validated by `error loss' and `accuracy' metrics. U-Net and Sensor3D CNN models were trained on data obtained from two different synchrotron Zernike phase-contrast transmission X-ray microscopes, the ANATOMIX beamline at SOLEIL (Paris, France) and the P05 beamline at PETRA III (Hamburg, Germany). The Sensor3D CNN model with a smaller batch size of 32 and a training data size of 70 images showed the best performance (accuracy 0.983 and error loss 0.032). The analysis procedures, validated by comparison with human-identified ground-truth images, correctly identified the voids within the bone matrix. This proposed approach may have further application to classify structures in volumetric images that contain non-linear artifacts that degrade image quality and hinder feature identification.

The phase problem in the context of focusing synchrotron beams with X-ray lenses is addressed. The feasibility of retrieving the surface error of a lens system by using only the intensity of the propagated beam at several distances is demonstrated. A neural network, trained with a few thousand simulations using random errors, can predict accurately the lens error profile that accounts for all aberrations. It demonstrates the feasibility of routinely measuring the aberrations induced by an X-ray lens, or another optical system, using only a few intensity images.

The use of artificial intelligence to process diffraction images is challenged by the need to assemble large and precisely designed training data sets. To address this, a codebase called Resonet was developed for synthesizing diffraction data and training residual neural networks on these data. Here, two per-pattern capabilities of Resonet are demonstrated: (i) interpretation of crystal resolution and (ii) identification of overlapping lattices. Resonet was tested across a compilation of diffraction images from synchrotron experiments and X-ray free-electron laser experiments. Crucially, these models readily execute on graphics processing units and can thus significantly outperform conventional algorithms. While Resonet is currently utilized to provide real-time feedback for macromolecular crystallography users at the Stanford Synchrotron Radiation Lightsource, its simple Python-based interface makes it easy to embed in other processing frameworks. This work highlights the utility of physics-based simulation for training deep neural networks and lays the groundwork for the development of additional models to enhance diffraction collection and analysis.

When solving a structure of a protein from single-wavelength anomalous diffraction X-ray data, the initial phases obtained by phasing from an anomalously scattering substructure usually need to be improved by an iterated electron-density modification. In this manuscript, the use of convolutional neural networks (CNNs) for segmentation of the initial experimental phasing electron-density maps is proposed. The results reported demonstrate that a CNN with U-net architecture, trained on several thousands of electron-density maps generated mainly using X-ray data from the Protein Data Bank in a supervised learning, can improve current density-modification methods.

A group of three deep-learning tools, referred to collectively as CHiMP (Crystal Hits in My Plate), were created for analysis of micrographs of protein crystallization experiments at the Diamond Light Source (DLS) synchrotron, UK. The first tool, a classification network, assigns images into categories relating to experimental outcomes. The other two tools are networks that perform both object detection and instance segmentation, resulting in masks of individual crystals in the first case and masks of crystallization droplets in addition to crystals in the second case, allowing the positions and sizes of these entities to be recorded. The creation of these tools used transfer learning, where weights from a pre-trained deep-learning network were used as a starting point and repurposed by further training on a relatively small set of data. Two of the tools are now integrated at the VMXi macromolecular crystallography beamline at DLS, where they have the potential to absolve the need for any user input, both for monitoring crystallization experiments and for triggering in situ data collections. The third is being integrated into the XChem fragment-based drug-discovery screening platform, also at DLS, to allow the automatic targeting of acoustic compound dispensing into crystallization droplets.

Speckle-tracking X-ray imaging is an attractive candidate for dynamic X-ray imaging owing to its flexible setup and simultaneous yields of phase, transmission and scattering images. However, traditional speckle-tracking imaging methods suffer from phase distortion at locations with abrupt changes in density, which is always the case for real samples, limiting the applications of the speckle-tracking X-ray imaging method. In this paper, we report a deep-learning based method which can achieve dynamic X-ray speckle-tracking imaging with high-accuracy phase retrieval. The calibration results of a phantom show that the profile of the retrieved phase is highly consistent with the theoretical one. Experiments of polyurethane foaming demonstrated that the proposed method revealed the evolution of the complicated microstructure of the bubbles accurately. The proposed method is a promising solution for dynamic X-ray imaging with high-accuracy phase retrieval, and has extensive applications in metrology and quantitative analysis of dynamics in material science, physics, chemistry and biomedicine.

This paper uses deep learning to present a proof-of-concept for data-driven chemistry in single-molecule magnets (SMMs). Previous discussions within SMM research have proposed links between molecular structures (crystal structures) and single-molecule magnetic properties; however, these have only interpreted the results. Therefore, this study introduces a data-driven approach to predict the properties of SMM structures using deep learning. The deep-learning model learns the structural features of the SMM molecules by extracting the single-molecule magnetic properties from the 3D coordinates presented in this paper. The model accurately determined whether a molecule was a single-molecule magnet, with an accuracy rate of approximately 70% in predicting the SMM properties. The deep-learning model found SMMs from 20 000 metal complexes extracted from the Cambridge Structural Database. Using deep-learning models for predicting SMM properties and guiding the design of novel molecules is promising.

Mineral identification and quantification are key to the understanding and, hence, the capacity to predict material properties. The method of choice for mineral quantification is powder X-ray diffraction (XRD), generally using a Rietveld refinement approach. However, a successful Rietveld refinement requires preliminary identification of the phases that make up the sample. This is generally carried out manually, and this task becomes extremely long or virtually impossible in the case of very large datasets such as those from synchrotron X-ray diffraction computed tomography. To circumvent this issue, this article proposes a novel neural network (NN) method for automating phase identification and quantification. An XRD pattern calculation code was used to generate large datasets of synthetic data that are used to train the NN. This approach offers significant advantages, including the ability to construct databases with a substantial number of XRD patterns and the introduction of extensive variability into these patterns. To enhance the performance of the NN, a specifically designed loss function for proportion inference was employed during the training process, offering improved efficiency and stability compared with traditional functions. The NN, trained exclusively with synthetic data, proved its ability to identify and quantify mineral phases on synthetic and real XRD patterns. Trained NN errors were equal to 0.5% for phase quantification on the synthetic test set, and 6% on the experimental data, in a system containing four phases of contrasting crystal structures (calcite, gibbsite, dolomite and hematite). The proposed method is freely available on GitHub and allows for major advances since it can be applied to any dataset, regardless of the mineral phases present.

The accuracy of the information in the Protein Data Bank (PDB) is of great importance for the myriad downstream applications that make use of protein structural information. Despite best efforts, the occasional introduction of errors is inevitable, especially where the experimental data are of limited resolution. A novel protein structure validation approach based on spotting inconsistencies between the residue contacts and distances observed in a structural model and those computationally predicted by methods such as AlphaFold2 has previously been established. It is particularly well suited to the detection of register errors. Importantly, this new approach is orthogonal to traditional methods based on stereochemistry or map–model agreement, and is resolution independent. Here, thousands of likely register errors are identified by scanning 3–5 Å resolution structures in the PDB. Unlike most methods, the application of this approach yields suggested corrections to the register of affected regions, which it is shown, even by limited implementation, lead to improved refinement statistics in the vast majority of cases. A few limitations and confounding factors such as fold-switching proteins are characterized, but this approach is expected to have broad application in spotting potential issues in current accessions and, through its implementation and distribution in CCP4, helping to ensure the accuracy of future depositions.

DLSIA (Deep Learning for Scientific Image Analysis) is a Python-based machine learning library that empowers scientists and researchers across diverse scientific domains with a range of customizable convolutional neural network (CNN) architectures for a wide variety of tasks in image analysis to be used in downstream data processing. DLSIA features easy-to-use architectures, such as autoencoders, tunable U-Nets and parameter-lean mixed-scale dense networks (MSDNets). Additionally, this article introduces sparse mixed-scale networks (SMSNets), generated using random graphs, sparse connections and dilated convolutions connecting different length scales. For verification, several DLSIA-instantiated networks and training scripts are employed in multiple applications, including inpainting for X-ray scattering data using U-Nets and MSDNets, segmenting 3D fibers in X-ray tomographic reconstructions of concrete using an ensemble of SMSNets, and leveraging autoencoder latent spaces for data compression and clustering. As experimental data continue to grow in scale and complexity, DLSIA provides accessible CNN construction and abstracts CNN complexities, allowing scientists to tailor their machine learning approaches, accelerate discoveries, foster interdisciplinary collaboration and advance research in scientific image analysis.

A deep-learning algorithm is proposed for the inpainting of Bragg coherent diffraction imaging (BCDI) patterns affected by detector gaps. These regions of missing intensity can compromise the accuracy of reconstruction algorithms, inducing artefacts in the final result. It is thus desirable to restore the intensity in these regions in order to ensure more reliable reconstructions. The key aspect of the method lies in the choice of training the neural network with cropped sections of diffraction data and subsequently patching the predictions generated by the model along the gap, thus completing the full diffraction peak. This approach enables access to a greater amount of experimental data for training and offers the ability to average overlapping sections during patching. As a result, it produces robust and dependable predictions for experimental data arrays of any size. It is shown that the method is able to remove gap-induced artefacts on the reconstructed objects for both simulated and experimental data, which becomes essential in the case of high-resolution BCDI experiments.

Ptychography is a powerful computational imaging technique with microscopic imaging capability and adaptability to various specimens. To obtain an imaging result, it requires a phase-retrieval algorithm whose performance directly determines the imaging quality. Recently, deep neural network (DNN)-based phase retrieval has been proposed to improve the imaging quality from the ordinary model-based iterative algorithms. However, the DNN-based methods have some limitations because of the sensitivity to changes in experimental conditions and the difficulty of collecting enough measured specimen images for training the DNN. To overcome these limitations, a ptychographic phase-retrieval algorithm that combines model-based and DNN-based approaches is proposed. This method exploits a DNN-based denoiser to assist an iterative algorithm like ePIE in finding better reconstruction images. This combination of DNN and iterative algorithms allows the measurement model to be explicitly incorporated into the DNN-based approach, improving its robustness to changes in experimental conditions. Furthermore, to circumvent the difficulty of collecting the training data, it is proposed that the DNN-based denoiser be trained without using actual measured specimen images but using a formula-driven supervised approach that systemically generates synthetic images. In experiments using simulation based on a hard X-ray ptychographic measurement system, the imaging capability of the proposed method was evaluated by comparing it with ePIE and rPIE. These results demonstrated that the proposed method was able to reconstruct higher-spatial-resolution images with half the number of iterations required by ePIE and rPIE, even for data with low illumination intensity. Also, the proposed method was shown to be robust to its hyperparameters. In addition, the proposed method was applied to ptychographic datasets of a Simens star chart and ink toner particles measured at SPring-8 BL24XU, which confirmed that it can successfully reconstruct images from measurement scans with a lower overlap ratio of the illumination regions than is required by ePIE and rPIE.

The relationship between pianist Justin Kauflin and trumpeter Clark Terry is at the heart of the documentary, "Keep On Keepin' On."; Credit: COURTESY OF RADiUS-TWC

Trumpeter Clark Terry played in Count Basie's and Duke Ellington's bands. He was the first African American hired for The Tonight Show band. He mentored the teenage prodigies Miles Davis and Quincy Jones. But Terry isn't as well known as you might think he'd be. 

Thanks to the new documentary, "Keep On Keepin' On," you can see Clark Terry — or C.T., as everyone calls him — in action. The film tells the story of Terry's early love of the trumpet, his quick rise through the jazz ranks, and how he's devoted much of his life to inspiring other musicians — all with a sparkle in his eye.

The movie is directed by first time filmmaker Alan Hicks and made on a shoestring budget. Hicks is himself a drummer and had been one of Terry's students. Originally it was going to be a short film about Terry and Hicks' relationship, funded by the Australian Broadcasting Company. (Hicks is from Australia.) When that financing fell through, Hicks improvised. Determined to tell the world about Terry, he and a childhood buddy, Adam Hart, decided to do it themselves — despite having no filmmaking experience. They bought a camera and plane tickets to the U.S. and began following Terry.

For many years their schedule was to shoot until they ran out of funds, usually about three months, work for a few months to save more money, then go back to shooting. To demonstrate how Terry mentors his students, they followed one young man in particular. Justin Kauflin is a blind jazz pianist with stage fright who would spend days and nights practicing at Terry's bedside. Over the course of the film, as we learn about Terry's past, we see the aging trumpeter in the present (he's now 93) — struggling with advanced diabetes, but always composing riffs from his bed late into the night.  

In one moving scene, Kauflin is riddled with anxiety as he prepares to compete in the Thelonious Monk International Jazz competition. Terry sends him an audio letter and some lucky socks for inspiration.

Years into the project, when Quincy Jones came to visit Terry, he met Kauflin and the filmmakers. Eventually Jones signed on as an executive producer of "Keep On Keepin' On" — as is only fitting given that, at age 13, he'd been Terry's first student.

Jones, Hicks and Kauflin spoke with The Frame about Terry and his unparalleled talent as a musician and as a mentor.

Reconstructions from the Daynès Studio in Paris depict a male Neanderthal (right) face to face with a human, Homo sapiens.; Credit: /Science Source

It's something that many of us reckon with: the sense that we're not quite as sharp as we once were.

I recently turned 42. Having lost my grandfather to Alzheimer's, and with my mom suffering from a similar neurodegenerative disease, I'm very aware of what pathologies might lurk beneath my cranium.

In the absence of a cure for Alzheimer's and other forms of dementia, the most important interventions for upholding brain function are preventive — those that help maintain our most marvelous, mysterious organ.

Based on the science, I take fish oil and broil salmon. I exercise. I try to challenge my cortex to the unfamiliar.

As I wrote my recent book, A History of the Human Brain, which recounts the evolutionary tale of how our brain got here, I began to realize that so many of the same influences that shaped our brain evolution in the first place reflect the very measures we use to preserve our cognitive function today.

Being social, and highly communicative. Exploring creative pursuits. Eating a varied, omnivorous diet low in processed foods. Being physically active.

These traits and behaviors help retrace our past, and, I believe, were instrumental in why we remain on the planet today.

And they all were, at least in part, enabled by our brain.

Social smart alecks finish first

The human saga is riddled with extinctions.

By "human," I don't just mean Homo sapiens, the species we belong to, but any member of the genus Homo. We've gotten used to being the only human species on Earth, but in our not so distant past — probably a few hundred thousand years ago – there were at least nine of us running around.

There was Homo habilis, or the "handy man." And Homo erectus, the first "pitcher." The Denisovans roamed Asia, while the more well-known Neanderthals spread throughout Europe.

But with the exception of Homo sapiens, they're all gone. And there's a good chance it was our fault.

Humans were never the fastest lot on the African plains, and far from the strongest. Cheetahs, leopards and lions held those distinctions. In our lineage, natural selection instead favored wits and wiliness.

Plenty of us became cat food, but those with a slight cognitive edge — especially Homo sapiens — lived on. In our ilk, smarts overcame strength and speed in enabling survival.

Ecology, climate, location and just sheer luck would've played important roles in who persisted or perished as well, as they do for most living beings. But the evolutionary pressure for more complex mental abilities would lead to a massive expansion in our brain's size and neurocircuitry that is surely the paramount reason we dominate the planet like no other species ever has.

Much of this "success," if you can call it that, was due to our social lives.

Primates are communal creatures. Our close monkey and ape cousins are incredibly interactive, grooming each other for hours a day to maintain bonds and relationships. Throw in a few hoots and hollers and you have a pretty complex community of communicating simians.

An active social life is now a known preserver of brain function.

Research shows that social isolation worsens cognitive decline (not to mention mental health, as many of us experienced this past year). Larger social networks and regular social activities are associated with mental preservation and slowed dementia progression.

Entwined in this new social life was an evolutionary pressure that favored innovation. Our eventual ability to generate completely novel thoughts and ideas, and to share those ideas, came to define our genus.

As we hunted and foraged together, and honed stones into hand axes, there was a collective creativity at work that gave us better weapons and tools that enabled more effective food sourcing, and, later, butchering and fire. Effectively sharing these innovations with our peers allowed information to spread faster than ever before - a seed for the larger communities and civilizations to come.

Challenging ourselves to new pursuits and mastering new skills can not only impress peers and ingratiate us to our group, but literally help preserve our brain. New hobbies. New conversations. Learning the banjo. Even playing certain video games and simply driving a new route home from work each day, as neuroscientist David Eagleman does, can keep our function high.

Whether it's honing ancient stone or taking up Sudoku, any pursuit novel and mentally challenging may help keep the neural circuits firing.

We really are what we eat

All the while, as we hunted and crafted in new and communal ways, we had to eat. And we did so with an uniquely adventurous palette.

Homo sapiens is among the most omnivorous species on the planet. Within reason we eat just about anything. Whether it's leaves, meat, fungus, or fruit, we don't discriminate. At some point, one of us even thought it might be a good idea to try the glistening, grey blobs that are oysters - and shellfish are, it turns out, among the healthiest foods for our brain.

The varied human diet is an integral part of our story. As was the near constant physicality required to source it.

On multiple occasions over the past 1 to 2 million years climate changes dried out the African landscape, forcing our ancestors out of the lush forest onto the dangerous, wide-open grasslands. As evolution pressured us to create and commune to help us survive, a diverse diet also supported our eventual global takeover.

Our arboreal past left us forever craving the dangling fruits of the forest, a supreme source of high-calorie sugars that ensured survival. Back then we didn't live long enough to suffer from Type 2 diabetes: if you encountered sweets, you ate them. And today we're stuck with a taste for cookies and candy that, given our longer lifespans, can take its toll on the body and brain.

But humans were just as amenable to dining on the bulbs, rhizomes and tubers of the savanna, especially once fire came along. We eventually became adept scavengers of meat and marrow, the spoils left behind by the big cats, who preferred more nutritive organ meat.

As our whittling improved we developed spears, and learned to trap and hunt the beasts of the plains ourselves. There is also evidence that we learned to access shellfish beds along the African coast and incorporate brain-healthy seafood into our diet.

Studying the health effects of the modern diet is tricky. Dietary studies are notoriously dubious, and often involve countless lifestyle variables that are hard to untangle.

Take blueberries. Multiple studies have linked their consumption with improved brain health. But, presumably, the berry-prone among us are also more likely to eat healthy all around, exercise, and make it to level 5 on their meditation app.

Which is why so many researchers, nutritionists, and nutritional psychiatrists now focus on dietary patterns, like those akin to Mediterranean culinary customs, rather than specific ingredients. Adhering to a Mediterranean diet is linked with preserved cognition; and multiple randomized-controlled trials suggest doing so can lower depression risk.

A similar diversity in our ancestral diet helped early humans endure an ever-shifting climate and times of scarcity. We evolved to subsist and thrive on a wide range of foods, in part because our clever brains allowed us access to them. In turn, a similarly-varied diet (minus submitting to our innate sugar craving of course) is among the best strategies to maintain brain health.

All of our hunting, and foraging, and running away from predators would have required intense physical exertion. This was certainly not unique to humans, but we can't ignore the fact that regular exercise is another effective means of preserving brain health.

Being active improves performance on mental tasks, and may help us better form memories. Long before the Peletons sold out, our brains relied on both mental and physical activity.

But overwhelmingly the evidence points to embracing a collection of lifestyle factors to keep our brain healthy, none of which existed in a Darwinian vacuum.

Finding food was as social an endeavor as it was mental and physical. Our creative brains harnessed information; gossiping, innovating, and cooking our spoils around the campfire.

Researchers are beginning to piece together the complex pathology behind the inevitable decline of the human brain, and despite a parade of failed clinical trials in dementia, there should be promising treatments ahead.

Until then, in thinking about preserving the conscious experience of our world and relationships — and living our longest, happiest lives — look to our past.

Bret Stetka is a writer based in New York and an editorial director at Medscape. His work has appeared in Wired, Scientific American, and on The Atlantic.com. His new book, A History of the Human Brain, is out from Timber/Workman Press. He's also on Twitter: @BretStetka.

This content is from Southern California Public Radio. View the original story at SCPR.org.

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Federal prosecutors secured their first guilty plea Wednesday in the Justice Department's sprawling conspiracy case involving the Oath Keepers extremist group in connection with the Jan. 6 attack on the U.S. Capitol.

At a hearing in federal court in Washington, D.C., Graydon Young pleaded guilty to one count of conspiracy and one count of obstruction of an official proceeding. The 55-year-old Florida resident agreed to cooperate with investigators, which could prove critical as the government pursues the remaining defendants in the high-profile case.

Young is one of 16 people associated with the Oath Keepers to be charged with conspiracy, obstruction and other offenses over the Capitol riot. Prosecutors say the defendants coordinated their efforts and actions to try to disrupt Congress' certification of the Electoral College count on Jan. 6.

More than 500 people have been charged so far in connection with the Capitol breach, but the Oath Keepers conspiracy case is one of the most closely watched because of the allegations and the link to an extremist organization.

Young is the second defendant linked to the Oath Keepers to plead guilty. Jon Schaffer pleaded guilty to obstructing an official proceeding and entering restricted grounds with a dangerous weapon in April.

According to Young's statement of offense, he coordinated with his co-conspirators ahead of Jan. 6 and used encrypted messaging apps to maintain "operational security."

On the day itself, the document says, Young and some of his co-conspirators pushed through U.S. Capitol Police lines guarding the Capitol and into the building.

"Mr. Young believed that he and the co-conspirators were trying to obstruct, influence, and impede an official proceeding, that is, a proceeding before Congress, specifically, Congress's certification of the Electoral College vote," the document says.

At Wednesday's hearing, Judge Amit Mehta read that passage to Young to ensure that it was accurate.

"Yes, sir," Young replied, "that is correct."

According to the plea deal, Young has agreed to cooperate fully with prosecutors, including sitting for interviews with investigators and testifying before the grand jury and at trial.

The government, meanwhile, has agreed to dismiss the remaining charges against him. Even so, Mehta said Young is facing a possible prison sentence of 5 to 6 1/2 years under the sentencing guidelines.

Wednesday brought another significant development in the Capitol investigation.

Anna Morgan-Lloyd, a 49-year-old from Indiana who described Jan. 6 as the "best day ever," became the first Capitol riot defendant to be sentenced.

Morgan-Lloyd was not accused of taking part in any of the violence at the Capitol. She pleaded guilty to a single misdemeanor count of "parading, demonstrating, or picketing in a Capitol building."

Judge Royce Lamberth sentenced her to three years of probation and no jail time.

This content is from Southern California Public Radio. View the original story at SCPR.org.

Pro-Trump supporters storm the U.S. Capitol following a rally with then-President Donald Trump on Jan. 6.; Credit: Samuel Corum/Getty Images

An alleged member of the Oath Keepers has pleaded guilty to charges connected to the Jan. 6 breach of the U.S. Capitol and agreed to cooperate with the government in its conspiracy case against the extremist group.

Mark Grods entered a plea of guilty to one count of conspiracy and one count of obstruction of an official proceeding. According to the statement of offense, the conspiracy's aim was to stop Congress' certification of the Electoral College count.

The plea marks another step forward for prosecutors pursuing a broader conspiracy case against 16 alleged members or associates of the Oath Keepers, a far-right, anti-government group. Last week, one of the defendants in that case pleaded guilty to conspiracy and obstruction, and agreed to cooperate with investigators.

Grods, who was charged separately but admitted to having coordinated with members of the Oath Keepers, has also agreed to cooperate with the government, including testifying before a grand jury or at trial.

In a court filing, prosecutors said Grods' case "is part of an ongoing grand jury investigation and plea negotiation related to United States v. Thomas Caldwell, et al.," which is the government's Oath Keepers conspiracy case.

At a court hearing Wednesday in Washington, D.C., just blocks from the Capitol, U.S. District Court Judge Amit Mehta went over the charges and the terms of Grods' plea deal, and told him his estimated sentencing guidelines range was 51 to 63 months.

"How do you plead on count one, the charge of conspiracy, sir?" Mehta asked.

"Guilty," Grods said.

"Count two, obstruction of an official proceeding, how do you plead, sir?" Mehta asked.

"Guilty," Grods replied again.

In his statement of offense, Grods admits to bringing firearms to Washington, D.C., and then stashing them across the Potomac River at a Virginia hotel — a detail the government says buttresses its argument that the Oath Keepers prepared for violence on Jan. 6.

The government alleges the group planned to store weapons in Virginia and ferry them into Washington, D.C., on Jan. 6 if the situation in the city got messy.

Grods' statement of offense says on Jan. 6, he rode in a golf cart with others through the city before parking a few blocks away from the Capitol and walking the rest of the way. He then linked up with other alleged Oath Keepers, who forged their way through the crowd, up the steps of the Capitol in a military-style "stack" formation and into the building itself.

Other members of the "stack" have been charged in the Oath Keepers conspiracy case.

Four minutes after entering the Capitol, the statement of offense says, Grods left the building as police shot pepper balls at a wall near him.

Two days after the assault on the Capitol, an unnamed individual told Grods to "make sure that all signal comms about the op has been deleted and burned," according to the statement of offense, which Grods confirmed he had done.

It is unclear how much additional information Grods will be able to provide investigators, but his plea agreement — the second in the span of a week — may prompt other defendants in the case to cut deals with prosecutors as well.

Overall, charges have now been brought against more than 500 individuals related to the riot at the Capitol.

This content is from Southern California Public Radio. View the original story at SCPR.org.

A new large-scale, multidisciplinary ocean exploration program would increase the pace of discovery of new species - ecosystems, energy sources, seafloor features, pharmaceutical products, and artifacts, as well as improve understanding of the role oceans play in climate change.

The numerous technical and operational breakdowns that contributed to the Deepwater Horizon oil rig explosion and spill from the Macondo well in the Gulf of Mexico suggest the lack of a suitable approach for managing the inherent risks.

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The ocean may have something to teach us about the pandemic we’re grappling with, according to oceanographer and National Academy of Sciences member Jody Deming. Deming is a member of the Ocean Memory Project — a collaboration of scientists, artists, and others who are exploring how changes over time are encoded into ocean “memories.”

Each year, more than 1.7 million adults in the United States develop sepsis, and 270,000 people die as a result. It’s a dangerous medical complication that occurs when an existing infection — such as pneumonia, a bladder infection, or a skin infection — triggers an extreme reaction throughout the body that can rapidly lead to tissue damage, organ failure, and even death.

The COVID-19 pandemic shined a spotlight on the continuing, decades-long problem of medical product supply chain disruptions. Drug and medical device shortages — life-threatening for some — also affect the entire U.S health care system, costing millions of dollars annually. New resources from the National Academies offer insights.

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The National Deep Tech Startup Policy (NDTSP) Consortium had released the draft policy on Jul 31 for public consultation, and sought feedback till September 15.

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Even as it’s suffering from a heavy debt load, billionaire Anil Agarwal’s metals and mining conglomerate is expanding in electronics components to take advantage of India’s push to become a technology manufacturing hub. The display business is separate from Vedanta’s struggling chip venture and may find an easier path to success as it’s a less techically demanding undertaking.

As a cardiologist, I am continuously telling my patients about the importance of heart health. While many people wait until the new year to focus on their health, the holiday season provides the perfect time for them to make a conscious effort to eat items that are heart healthy.