Transforming growth factor β-1 (TGFβ-1) is a secreted signalling protein that directs many cellular processes and is an attractive target for the treatment of several diseases. The primary endogenous activity regulatory mechanism for TGFβ-1 is sequestration by its pro-peptide, latency-associated peptide (LAP), which sterically prohibits receptor binding by caging TGFβ-1. As such, recombinant LAP is promising as a protein-based therapeutic for modulating TGFβ-1 activity; however, the mechanism of binding is incompletely understood. Comparison of the crystal structure of unbound LAP (solved here to 3.5 Å resolution) with that of the bound complex shows that LAP is in a more open and extended conformation when unbound to TGFβ-1. Analysis suggests a mechanism of binding TGFβ-1 through a large-scale conformational change that includes contraction of the inter-monomer interface and caging by the `straight-jacket' domain that may occur in partnership through a loop-to-helix transition in the core jelly-roll fold. This conformational change does not appear to include a repositioning of the integrin-binding motif as previously proposed. X-ray scattering-based modelling supports this mechanism and reveals possible orientations and ensembles in solution. Although native LAP is heavily glycosylated, solution scattering experiments show that the overall folding and flexibility of unbound LAP are not influenced by glycan modification. The combination of crystallography, solution scattering and biochemical experiments reported here provide insight into the mechanism of LAP sequestration of TGFβ-1 that is of fundamental importance for therapeutic development.

A complete method of comprehensive and quantitative evaluation of through-silicon via reliability using a highly sensitive phase-contrast X-ray microtomography was established. Quantitative characterizations include 3D local morphology and overall consistency of statistics.

In this article, the effect of stretching of short X-ray pulses after symmetric or asymmetric diffraction on crystal systems is studied. This is used to determine the optimal experimental arrangement to minimize the pulse stretching during diffraction.

An algorithm, based on the matching of q-vectors pairs, is combined with three-dimensional pattern matching using a nearest-neighbors approach to index Laue and monochromatic serial crystallography data recorded on small unit cell samples.

Data from a recent study of wild takins in the high-altitude forests of the Tangjiahe National Nature Reserve in southeast China has shown that the […]

The post Great Sichuan earthquake of 2008 had little impact on of China’s wild takins appeared first on Smithsonian Insider.

Scientists and local dive operators first noticed coral bleaching in the waters surrounding Isla Colon, in Panama’s Bocas del Toro province in July. Smithsonian staff scientist Nancy Knowlton and colleagues documented an extensive bleaching event in late September.

The post Coral bleaching event caused by warming ocean waters is documented in Panama appeared first on Smithsonian Insider.

The new agreement, effective immediately through Dec. 5, 2015, stipulates that the Smithsonian's National Zoological Park will conduct research in the areas of giant panda breeding and cub behavior.

The post Smithsonian signs new giant panda agreement with China appeared first on Smithsonian Insider.

Galaxies are sometimes found in large clusters with many hundreds of members. Typically there is a giant elliptical galaxy near the center; most of these ellipticals are very bright emitters of radio radiation as a result of activity around supermassive black holes at their nuclei.

The post Enriching the Intracluster Medium appeared first on Smithsonian Insider.

A member of one of the world’s most endangered species—the brown kiwi (Apteryx mantelli)—successfully hatched at the Smithsonian’s National Zoo’s Bird House Dec. 11 at 10:25 a.m. The egg was laid Oct. 1 and keepers began looking for signs of the chick hatching starting in early December. The chick is the sixth kiwi successfully hatched at the National Zoo.

The post Kiwi chick hatching a success at the National Zoo appeared first on Smithsonian Insider.

Humanity is on the threshold of being able to detect signs of alien life on other worlds. By studying exoplanet atmospheres, we can look for […]

The post Finding ET by searching for alien air pollution appeared first on Smithsonian Insider.

A new study by Florida State University and Smithsonian Institution biologists shows that bleaching events brought on by rising sea temperatures are having a detrimental […]

The post Study: Bleaching events impair long-term coral reproduction appeared first on Smithsonian Insider.

Caitlin Burrell, research scientist at the Smithsonian Conservation Biology Institute, returned from China last night April 20, with frozen giant panda semen that had been […]

The post Panda Semen from China arrives at Zoo appeared first on Smithsonian Insider.

If you were dumped into the middle of a desert, your first instinct would be to look for water—it is, after all, the stuff of […]

The post In Western China’s deserts an ancient competition for water resumes appeared first on Smithsonian Insider.

Researchers have uncovered a fossil sea urchin that pushes back a fork in its family tree by 10 million years, according to a new study. […]

The post Newly discovered sea urchin fossil is oldest of its kind appeared first on Smithsonian Insider.

Xian Hu, Salma Jalal, Michael Sheetz, Oddmund Bakke, and Felix Margadant

Despite progress made in confocal microscopy, even fast systems still have insufficient temporal resolution for detailed live cell volume imaging, such as tracking rapid movement of membrane vesicles in three-dimensional space. Depending on the shortfall, this may result in undersampling and/or motion artifacts that ultimately limit the quality of the imaging data. By sacrificing detailed information in the Z-direction, we propose a new imaging modality that involves capturing fast "projections" from the field of depth which shortens imaging time by approximately an order of magnitude as compared to standard volumetric confocal imaging. With faster imaging, radiation exposure to the sample is reduced, resulting in less fluorophore photobleaching and potential photodamage. The implementation minimally requires two synchronized control signals that drive a piezo stage and trigger the camera exposure. The device generating the signals has been tested on spinning disk confocals and instant structured-illumination-microscopy (iSIM) microscopes. Our calibration images show that the approach provides highly repeatable and stable imaging conditions that enable photometric measurements of the acquired data, in both standard live imaging and super-resolution modes.

Single-wavelength X-ray anomalous diffraction (SAD) is a frequently employed technique to solve the phase problem in X-ray crystallography. The precision and accuracy of recovered anomalous differences are crucial for determining the correct phases. Continuous rotation (CR) and inverse-beam geometry (IBG) anomalous data collection methods have been performed on tetragonal lysozyme and monoclinic survivin crystals and analysis carried out of how correlated the pairs of Friedel's reflections are after scaling. A multivariate Bayesian model for estimating anomalous differences was tested, which takes into account the correlation between pairs of intensity observations and incorporates the a priori knowledge about the positivity of intensity. The CR and IBG data collection methods resulted in positive correlation between I(+) and I(−) observations, indicating that the anomalous difference dominates between these observations, rather than different levels of radiation damage. An alternative pairing method based on near simultaneously observed Bijvoet's pairs displayed lower correlation and it was unsuccessful for recovering useful anomalous differences when using the multivariate Bayesian model. In contrast, multivariate Bayesian treatment of Friedel's pairs improved the initial phasing of the two tested crystal systems and the two data collection methods.

Mark Torchin, a marine ecologist at the Smithsonian Tropical Research Institute (STRI) in Panama, talks about how he studies the parasites of invasive marine animals such as snails. Much of his research focuses on biological invasions and the dynamics between the host, the parasites and the surrounding ecosystem.

The post Meet our Scientist–Mark Torchin tracks invasive marine species and their parasites in Panama appeared first on Smithsonian Insider.

The post With the recent hatching of two Cuban crocodiles, the National Zoo just got a little snappier! appeared first on Smithsonian Insider.

Scientists at the Smithsonian Conservation Biology Institute (SCBI) have found that poaching is an emerging crisis for Asian elephants in Myanmar. Researchers first became aware […]

The post Elephant poaching crisis in Myanmar appeared first on Smithsonian Insider.

By simulating the environment when corn was first exploited by people and then domesticated, Smithsonian scientists discovered that corn’s ancestor; a wild grass called teosinte, […]

The post Greenhouse “time machine” sheds light on corn domestication appeared first on Smithsonian Insider.

Invertebrate Zoology Scientists studying pollinators of the yellow poppy (Meconopsis integrifolia) in the highlands of southern China have discovered a striking new species of flower fly […]

The post New species of poppy pollinating fly discovered in China appeared first on Smithsonian Insider.

Simon L. Bullock
Apr 6, 2020; 133:jcs245134-jcs245134
Meeting Report

Full Text:

Machine learning algorithms can sometimes do a great job with a little help from human expertise, at least in the field of materials science. In many specialized areas of science, engineering and medicine, researchers are turning to machine learning algorithms to analyze data sets that have grown too large for humans to understand. In materials science, success with this effort could accelerate the design of next-generation advanced functional materials, where development now usually depends on old-fashioned trial and error. By themselves, however, data analytics techniques borrowed from other research areas often fail to provide the insights needed to help materials scientists and engineers choose which of many variables to adjust -- and the techniques can't account for dramatic changes such as the introduction of a new chemical compound into the process. In a new study, researchers explain a technique known as dimensional stacking, which shows that human experience still has a role to play in the age of machine intelligence. The machines gain an edge at solving a challenge when the data to be analyzed are intelligently organized based on human knowledge of what factors are likely to be important and related. "When your machine accepts strings of data, it really does matter how you are putting those strings together," said Nazanin Bassiri-Gharb, the paper's corresponding author and a scientist at the Georgia Institute of Technology. "We must be mindful that the organization of data before it goes to the algorithm makes a difference. If you don't plug the information in correctly, you will get a result that isn't necessarily correlated with the reality of the physics and chemistry that govern the materials."

Image credit: Rob Felt/Georgia Tech

Full Text:

How do galaxies such as our Milky Way come into existence? How do they grow and change over time? The science behind galaxy formation has long been a puzzle, but a University of Arizona-led team of scientists is one step closer to finding answers, thanks to supercomputer simulations. Observing real galaxies in space can only provide snapshots in time, so researchers who study how galaxies evolve over billions of years need to use computer simulations. Traditionally, astronomers have used simulations to invent theories of galaxy formation and test them, but they have had to proceed one galaxy at a time. Peter Behroozi of the university's Steward Observatory and colleagues overcame this hurdle by generating millions of different universes on a supercomputer, each according to different physical theories for how galaxies form. The findings challenge fundamental ideas about the role dark matter plays in galaxy formation, the evolution of galaxies over time and the birth of stars. The study is the first to create self-consistent universes that are exact replicas of the real ones -- computer simulations that each represent a sizeable chunk of the actual cosmos, containing 12 million galaxies and spanning the time from 400 million years after the Big Bang to the present day. The results from the "UniverseMachine," as the authors call their approach, have helped resolve the long-standing paradox of why galaxies cease to form new stars even when they retain plenty of hydrogen gas, the raw material from which stars are forged. The research is partially funded by NSF's Division of Physics through grants to UC Santa Barbara's Kavli Institute for Theoretical Physics and the Aspen Center for Physics.

Image credit: NASA/ESA/J. Lotz and the HFF Team/STScI

Increased research is the key to developing more widely applicable detection systems to find pipe bombs before they explode and to help catch the perpetrators when a bomb has gone off, says a new report from a committee of the National Research Council.

The National Academies have bestowed the title of Education Fellow in the Life Sciences to 42 educators around the country who successfully completed a summer institute aimed at fostering innovative approaches to teaching undergraduate biology.

A new report from the National Academies of Sciences, Engineering, and Medicine recommends substantial changes to U.S. graduate education in science, technology, engineering, and mathematics (STEM) in order to meet the evolving needs of students, the scientific enterprise, and the nation.

The National Academies of Sciences, Engineering, and Medicine is forming a new committee to develop a research agenda and research governance approaches for climate-intervention strategies that reflect sunlight to cool Earth.

UATP has partnered the payment technology company

Chef Chun Lei (l.) and restaurant owner Charles Lu (r.) in the kitchen of Shanghailander Palace in Arcadia.; Credit: Josie Huang/KPCC

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

February satellite readings in the troposphere (the lower atmosphere) of nitrogen dioxide (NO2), a pollutant primarily from burning fossil fuels, show a dramatic decline compared to early January when power plants were operating at normal levels.; Credit: /NASA Earth Observatory

As China seeks to control the spread of COVID-19, fewer cars are driving, fewer factories are running and — in some places — skies are clearer.

Air pollution levels have dropped by roughly a quarter over the last month as coal-fired power plants and industrial facilities have ramped down so employees in high-risk areas can stay home. Levels of nitrogen dioxide, a pollutant primarily from burning fossil fuels, were down as much as 30%, according to NASA.

"It is an unprecedentedly dramatic drop in emissions," says Lauri Myllyvirta, lead analyst at the Centre for Research on Energy and Clean Air, who tallied the reductions. "I've definitely spoken to people in Shanghai who said that it's been some of the most pristine blue skies that they remember over the winter."

Myllyvirta estimates that China's carbon emissions have dropped by a quarter over the same period. While that's a tiny fraction of its overall annual emissions, it's substantial in a worldwide context, since China is the largest emitter of greenhouse gases.

There's potentially a health benefit — although any gains due to a drop in pollution are set against the toll taken by the coronavirus outbreak.

Air pollution is estimated to contribute to more than 1 million premature deaths in China each year. Fine particle pollution, also known as PM 2.5, can enter the bloodstream through the lungs and has been linked to asthma attacks, heart attacks and respiratory problems.

Even a short-term reduction in air pollution can make a difference.

"There is no question about it: When air quality improves, that will be associated with a reduction in health-related problems," says Jim Zhang, professor of global and environmental health at Duke University.

Zhang says that was evident during the 2008 summer Olympics in Beijing. To help improve the air, government officials shut factories and dramatically limited car travel before and during the games. Levels of some air pollutants dropped by half.

He and colleagues studied a group of young men and women in Beijing and found that during that time period, their lung and cardiovascular health improved. He also followed pregnant women.

"What we found is that the kids whose mothers had a third trimester pregnancy during the Olympics when the air quality was better, their birth weight was substantially higher than the kids who were born a year before and a year later," he says.

But health specialists sound a cautionary note.

"It would be a mischaracterization to say that the coronavirus was beneficial to health because of these air pollution reductions," says Jill Baumgartner, associate professor and epidemiologist at McGill University.

"The health impacts from the virus itself, the stress on the health-care system, the stress on people's lives — those health impacts are likely to be much greater than the short-term benefits of air pollution on health," she says.

Baumgartner says people with health issues other than COVID-19 may have avoided seeing doctors during the outbreak or potentially couldn't receive treatment they needed in areas with overtaxed health systems.

Those isolated at home and avoiding crowds may also have been exposed to more indoor air pollution.

"People spent a lot more time indoors and it's possible that they were exposed to higher levels of indoor tobacco smoke," Baumgartner says. "Or in the suburban areas, it's possible that they were using their traditional wood or coal stoves for heating."

Not all cities have experienced the recent improvements. In mid-February, Beijing saw a spike in pollution due to local weather patterns trapping air in the region.

The drop in air pollution and carbon emissions is also likely to disappear as Chinese industry ramps up again in an attempt to offset its economic losses.

"If you think back to the global financial crisis, the immediate impact was for China's emissions to fall," says Myllyvirta. "But then the government response was to roll out the biggest stimulus package in the history of mankind that then drove China's emissions and global emissions up for years."

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

Patt Morrison's ensemble for Aug 8, 2013.; Credit: Dave Coelho/KPCC

What shall we call this color scheme? How about ‘Manhattan Mermaid’?

The petrel blues, the turquoises, the aquas – and then that uptown/downtown black, in this case a black linen duster over a Peter Max-style splashy-print silk dress. The way the hem pools at the sides a bit reminds me of the cut of Pre-Raphaelite ladies’ tunics; I’d love to dress “period” for a week to see whether I’d like it.

Imagine, a week of hoop skirts … a week of 1950s tailleurs … a week of bustles … a week of hobble skirts … a week of liberated Pre-Raphaelite velvet gowns!

The hat is so unmistakably summer in fabric and color that it doesn’t get out of the hatbox as much as it should, poor thing. And the shoes – I did not get them together, honest, but even though the prints don’t match, it’s the dissonance that makes them work better together than if they had.

The fabric is a very textured canvas and printed like batik. [They are not the soul of comfort – oh what a dreadful pun, but is there any other kind of pun? – but they look smart hooked over the railing of a chair in a chic bistro, which is where I intend to take them!]

And the bracelets, one from a great-aunt who had a fine eye for jewelry – the turquoise is almost Persian, it’s so green, but it’s more likely to be American. The cuff is definitely Southwest, with the rope-pattern trim and the irregularly shaped bezels, although the turquoises themselves are symmetrical.

Because I’m left-handed, my right arm bears the singular honor of being “ornamental,” and bearing the burden of the bling.

Summer on, ladies!

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

Full Text:

Machine learning algorithms can sometimes do a great job with a little help from human expertise, at least in the field of materials science. In many specialized areas of science, engineering and medicine, researchers are turning to machine learning algorithms to analyze data sets that have grown too large for humans to understand. In materials science, success with this effort could accelerate the design of next-generation advanced functional materials, where development now usually depends on old-fashioned trial and error. By themselves, however, data analytics techniques borrowed from other research areas often fail to provide the insights needed to help materials scientists and engineers choose which of many variables to adjust -- and the techniques can't account for dramatic changes such as the introduction of a new chemical compound into the process. In a new study, researchers explain a technique known as dimensional stacking, which shows that human experience still has a role to play in the age of machine intelligence. The machines gain an edge at solving a challenge when the data to be analyzed are intelligently organized based on human knowledge of what factors are likely to be important and related. "When your machine accepts strings of data, it really does matter how you are putting those strings together," said Nazanin Bassiri-Gharb, the paper's corresponding author and a scientist at the Georgia Institute of Technology. "We must be mindful that the organization of data before it goes to the algorithm makes a difference. If you don't plug the information in correctly, you will get a result that isn't necessarily correlated with the reality of the physics and chemistry that govern the materials."

Image credit: Rob Felt/Georgia Tech

Full Text:

How do galaxies such as our Milky Way come into existence? How do they grow and change over time? The science behind galaxy formation has long been a puzzle, but a University of Arizona-led team of scientists is one step closer to finding answers, thanks to supercomputer simulations. Observing real galaxies in space can only provide snapshots in time, so researchers who study how galaxies evolve over billions of years need to use computer simulations. Traditionally, astronomers have used simulations to invent theories of galaxy formation and test them, but they have had to proceed one galaxy at a time. Peter Behroozi of the university's Steward Observatory and colleagues overcame this hurdle by generating millions of different universes on a supercomputer, each according to different physical theories for how galaxies form. The findings challenge fundamental ideas about the role dark matter plays in galaxy formation, the evolution of galaxies over time and the birth of stars. The study is the first to create self-consistent universes that are exact replicas of the real ones -- computer simulations that each represent a sizeable chunk of the actual cosmos, containing 12 million galaxies and spanning the time from 400 million years after the Big Bang to the present day. The results from the "UniverseMachine," as the authors call their approach, have helped resolve the long-standing paradox of why galaxies cease to form new stars even when they retain plenty of hydrogen gas, the raw material from which stars are forged. The research is partially funded by NSF's Division of Physics through grants to UC Santa Barbara's Kavli Institute for Theoretical Physics and the Aspen Center for Physics.

Image credit: NASA/ESA/J. Lotz and the HFF Team/STScI

IDEX Biometrics...

A recent study has analysed risks to European renewable industries from the Chinese supply of critical raw materials. The offshore wind sector was found to be the most vulnerable of the renewable industries to supply risks. EU and industry strategies should be able to deal with these supply risks in the short term, but there are potential long-term risks to solar and wind sectors. The development of alternative technologies less reliant on these raw materials, and methods to recycle these materials is, therefore, a priority.

The social, political, technological and geophysical factors that affect the control of climate change have been assessed in a recent study. The results suggest that political factors, in terms of delaying the implementation of mitigation strategies, have the biggest effect on limiting global warming to below 2C.

China's strategy for securing its energy supply has been analysed in a new study. The author highlights key aspects of the country's energy security strategy, focusing on overseas investment in oil and development of petroleum reserves and unconventional gas, including fracking.

The headcount has now come down from more than 1,000 employees a year ago, with the majority of job cuts in the wake of Covid-19 outbreak that forced shutdowns in the February-April period. The headcount comprises staff on the company’s rolls as well as those on contract and outsourced manpower.

NASA's Aqua satellite provided a visible image of Super Typhoon Meranti as it continued to move toward Taiwan and the northern Philippines.

read more

From 1980 to 2000 China quadrupled its Gross Domestic Product (GDP) whilst only doubling its energy use. New research has indicated that this trend will not continue and China is likely to experience much greater energy use, coal demand and CO2 emissions than has been forecast by international energy agencies.

Following rapid urbanisation, management of contaminated soil has become a political priority in China. In this study, researchers reviewed the current system in China as compared to Europe and provide recommendations for the sustainable management of soil.

Tiny plastic particles from laundry wastewater are being washed into the marine environment, according to recent research. The plastic, from synthetic clothes cleaned in domestic washing machines, is a significant source of contamination and, unless measures are taken to address the problem, growing coastal populations will only exacerbate the situation.

On Thursday, Uber told financial analysts that it couldn’t forecast how much revenue it would generate this year because of the upheaval caused by the coronavirus.