Friday, August 09, 2024

 

New technology uses light to engrave erasable 3D images



Study: Chemical "switch" and projector make any polymer a reusable 3D canvas



Peer-Reviewed Publication

Dartmouth College

Dog diptych 

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A two-dimensional light engraving (left) suspended in a polymer film. The original photo (right) was projected into the film using a red- and blue-light projector that activates a photosensitive additive in the polymer. Applying heat to the film will erase the image and make it ready to use again.

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Credit: Ivan Aprahamian/Sara Patch




Imagine if physicians could capture three-dimensional projections of medical scans, suspending them inside an acrylic cube to create a hand-held reproduction of a patient's heart, brain, kidneys, or other organs. Then, when the visit is done, a quick blast of heat erases the projection and the cube is ready for the next scan.

A new report in the journal Chem by researchers at Dartmouth and Southern Methodist University (SMU) outlines a technical breakthrough that could enable such scenarios, and others with widespread utility.

The study introduces a technique that uses a specialized light projector to imprint two-dimensional and 3D images inside any polymer that contains a photosensitive chemical additive the team developed. The light-based engraving remains in the polymer until heat is applied, which erases the image and makes it ready to use again.

In short, the researchers write with light and erase with heat or light, says Ivan Aprahamian, professor and chair of chemistry at Dartmouth and co-corresponding author on the paper. In test trials, the researchers produced high-resolution images in polymers ranging from thin films to six inches thick.

The technology is intended for any situation where having detailed, precise visual data in a compact and easily customizable format could be critical, Aprahamian says, such as planning surgeries and developing architectural designs. The device also could be used for generating 3D images for education and even creating art, he says.

"This is like 3D printing that is reversible," Aprahamian says. "You can take any polymer that has the optimal optic properties—that is, it's translucent—and enhance it with our chemical switch. Now that polymer is a 3D display. You do not need virtual reality headsets or complicated instrumentation. All you need is the right piece of plastic and our technology."

Readily available polymers—such as an acrylic cube—could be transformed into a display with the addition of the light-sensitive chemical "switch" formulated by Aprahamian and Qingkai Qi, a postdoctoral researcher at Dartmouth and the study's first author. The switch consists of a compound called azobenzene that reacts to light paired with boron difluoride, which enhances the switch's optical properties.

Once integrated with a polymer, the switch reacts to wavelengths of red and blue light beamed from a projector developed in the lab of Alex Lippert, professor of chemistry at SMU and co-corresponding author of the study. Study co-author Joshua Plank is a PhD candidate in Lippert's lab. The red light acts like ink by activating the chemical additive to create the image, Aprahamian says. Blue light can then be used to erase it.

The projector illuminates the treated polymer from different angles with various patterns of light, Lippert explains. The photosensitive chemical developed in Aprahamian's lab at Dartmouth is activated where these patterns intersect to produce 3D patterns. Creating 3D projections from 2D images such as a chest X-ray would mean projecting slices of the original image into a polymer cube or other shape until the slices combine to form the full 3D image, Lippert says.

The researchers have been able to produce animated images in polymers and future work revolves around improving that process. In the meantime, the technology reported in Chem could be developed for practical use in its current form, such as for industry or health care.

"Scaling up requires tuning the chemical switch properties to improve resolution, contrast, and refresh rate," Lippert says. "The projector system can in principle be scaled up and developed into a turnkey system with automated hardware and associated software for easy us


Animated cat [VIDEO] |

The reseachers are able to produce light-based three-dimensional and animated images in polymers ranging from thin films to six inches thick. They project slices of original two-dimensional images until the slices combine to form a full 3D or animated image. Future work revolves around improving the process for creating animated images.


Credit

Ivan Aprahamian

 

Information scientists develop method to detect doping cases using AI



Saarland University
Information scientists develop method to detect doping cases using AI 

image: 

Wolfgang Maass, professor of business informatics at Saarland University

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Credit: Oliver Dietze



Thousands of athletes are currently competing for medals at the Olympic Games in Paris. And in some cases, questions will be asked about whether medals were won fairly or whether doping was involved. Software developed by a team led by Wolfgang Maaß, professor of business informatics at Saarland University, could help to answer these questions in future competitions. The software, which is currently being presented at the International Joint Conference on AI (3–9 August in South Korea), needs only a handful of data points to predict with unprecedented accuracy which athletes have definitely not doped – and can thus identify those cases where a closer look is required.

Searching for a needle in a haystack or tilting at windmills are both good metaphors for the challenge of detecting doped athletes. With thousands of athletes competing at major sporting events such as the Olympic Games, World Championships or in professional leagues such as football, it can take a laboratory weeks to analyse urine samples to determine whether any of those competing had taken performance-enhancing drugs. 'At the moment, the samples are all analysed manually,' said Wolfgang Maaß, Professor of Information Systems for the Service Industry at Saarland University and Scientific Director of the Smart Service Engineering research department at the German Research Center for Artificial Intelligence (DFKI).

Given the sheer number of athletes at major events such as the Olympic Games – there are around 10,500 in Paris – and how time-consuming current testing methods are, it's not hard to see that many cheaters are simply slipping through the net. Only a fraction of the urine samples can be analysed in the laboratory. As we know from the doping scandal at the 2014 Winter Olympics in Sochi, some of the athletes who cheat try to swap their own urine samples with ‘clean’ samples provided by someone else.

Until now, DNA analysis has been the only reliable method to identify whether samples have been swapped. 'But that’s both expensive and time-consuming,' explained Wolfgang Maaß. It is simply not possible to analyse the DNA of every single sample. Maaß and other colleagues from the DFKI (German Research Center for Artificial Intelligence), the German Sport University Cologne and the World Anti-Doping Agency (WADA) decided to pool their expertise to search for a simpler, more viable solution. 'This problem is practically crying out for machine analysis,' said Maaß.

To address the issue, they developed software that uses artificial intelligence to analyse urine sample data both quickly and cost-effectively. 'Doping tests measure the concentrations and ratios of various steroids, which are then checked for plausibility,' explained Wolfgang Maaß. This provides a biochemical fingerprint that the Saarbrücken AI software can use to reliably flag up any anomalies.

The machine-learning program only needs the data from three urine samples provided by each athlete over the course of their sporting career. As the natural steroid profile of one athlete may be very different to that of another, the program learns which concentrations of specific substances are typical for that particular athlete. For each sample, seven characteristics such as steroid concentrations and their ratios are determined in the biochemical laboratory. And rather like a child doing a spot-the-difference picture puzzle, the software searches for deviations from the usual pattern.

'If you compare the three or more "pictures" with the measurement data from the individual urine samples, the software will find the ones where everything matches,' said Wolfgang Maaß, explaining in simple terms how the computer program works. This leaves a residual number of samples where the 'pictures' do not match up, i.e. where inconsistencies have been detected. 'The small number of remaining cases can then be examined in more detail by biochemists in the laboratory using DNA analysis. If an athlete has taken a performance-enhancing substance and that substance can be detected in urine, then our software can help to identify that athlete with a high degree of certainty,' said Wolfgang Maaß.

Rather than detecting doping offenders directly, the software is designed to identify clean athletes with 99 percent confidence to ensure that innocent people are not wrongly accused. While this can mean that a small number of doping offenders go undetected, positive doping cases in which athletes have taken banned substances in order to go higher, farther or faster are identified with a very high degree of certainty. 'Anyone who has doped can almost certainly be found among these remaining cases, which can then be investigated in more detail using DNA testing,' explained Wolfgang Maaß.

Thanks to this innovative and highly accurate method, finding that illusive needle in the haystack may just have become that much easier.

Original publication:

Maxx Richard Rahman, Lotfy Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass. SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports. In International Joint Conference on Artificial Intelligence, IJCAI, (2024).

https://ijcai24.org/main-track-accepted-papers/

Press photographs that can be used free of charge with this press release can be found at the bottom of the following web page.

Questions can be addressed to:

Prof. Dr. Wolfgang Maaß

Tel.: +49 681 302-64736

Email: wolfgang.maass@iss.uni-saarland.de

 

New ancient marine crocodile from time of dinosaurs provides insight into the groups lifestyle and diversity



A newly discovered species of marine crocodile from 135 million years ago described from Germany


University of Edinburgh

Enalioetes life reconstruction by Joschua Knüppe 

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Enalioetes life reconstruction by Joschua Knüppe

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Credit: Joschua Knüppe




New ancient marine crocodile from time of dinosaurs provides insight into the groups lifestyle and diversity

A newly discovered species of marine crocodile from 135 million years ago described from Germany

An international team of scientists, including researchers from Germany and the UK, have described a new species of ancient marine crocodile, Enalioetes schroederi. Enalioetes lived in the shallow seas that covered much of Germany during the Cretaceous Period, approximately 135 million years ago.

This ancient crocodile was a member of the family Metriorhynchidae, a remarkable group that evolved a dolphin-like body-plan. Metriorhynchids had smooth scaleless skin, flippers, and a tailfin. They fed on a variety of prey, including fast-moving animals like squids and fish, but some metriorhynchid species had large, serrated teeth suggesting they fed on other marine reptiles. Metriorhynchids are best known from the Jurassic Period, with their fossils becoming rarer in the Cretaceous. Enalioetes schroederi is known from a three-dimensional skull, making it the best-preserved metriorhynchid known from the Cretaceous. 

Sven Sachs, from the Naturkunde-Museum Bielefeld and project leader, said: “The specimen is remarkable as it is one very few metriorhynchids that is known by a three-dimensionally preserved skull. This allowed us to CT scan the specimen and so we were able to learn a lot about the internal anatomy of these marine crocodiles. The remarkable preservation allowed us to reconstruct the internal cavities and even the inner ears of the animal.”

Dr Mark Young, of the University of Edinburgh’s School of GeoSciences, explains: “Enalioetes gives us fresh insight into how metriorhynchids were evolving during the Cretaceous Period. During the Jurassic metriorhynchids evolved a body-plan radically different from other crocodiles - flippers, tailfin, loss of bony armour and smooth scaleless skin. These changes were adaptations to an increasingly marine lifestyle. Enalioetes shows us that this trend continued into the Cretaceous, as Enalioetes even larger eyes than other metriorhynchids (which were already big by crocodylian standards) and the bony inner ears were even more compact than other metriorhynchids, a sign that Enalioetes was probably a faster swimmer.”

The perfectly preserved skull along with the first neck vertebrae were discovered more than a hundred years ago by the German government architect D. Hapke in a quarry in Sachsenhagen near Hannover. The specimen has an interesting history. It was given for preparation and study to Henry Schroeder of the Prussian Geological Survey in Berlin where it was thought to have been incorporated in the collection. This led to the assumption the specimen went lost during WWII. Later the specimen was rediscovered in the Minden Museum in Western Germany. It turned out that the specimen had been returned to the finder whose family brought it to Minden where they found a new home after WW2, taking the specimen with them. The crocodile is since one of the valuable specimens in the Minden collection.

Henry Schroeder of the Berlin Geological survey provided the initial description, and after him the species is named.

By comparing the fossil with those from other museum collections, Sachs and his team determined it was a species new to science.

For further information, please contact Sven Sachs, project leader, Naturkunde-Museum Bielefeld: sachs.pal@gmail.com

 

Universal free school meals and school and student outcomes



JAMA Network



About The Study: 

In this systematic review, universal free school meals were associated with increased meal participation, no or slight improvements in attendance, and decreased obesity prevalence and suspension rates; certainty of evidence was moderate for lunch participation and low or very low for other outcomes. Studies did not report several important outcomes, such as diet quality and food security, suggesting the need for more high-quality research encompassing policy-relevant indicators. 


Corresponding Author: To contact the corresponding author, Amanda MacFarlane, PhD, email amanda.macfarlane@ag.tamu.edu.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2024.24082)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication. 

 

Republicans who believe Trump won in 2020 expect significant chaos in November



New poll displays differences between GOP election deniers and other Republican voters



Johns Hopkins University

Poll question: Do you think political violence will occur after the election? 

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Percentage of independents,Democrats, Republicans who believe Biden won in 2020 and Republicans who believe Trump won in 2020 who think "a great deal," "a lot," "a moderate amount," "a little" or "none at all" violence will occur after the 2024 U.S. presidential election. 

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Credit: Lilliana Mason and Scott Warren/Johns Hopkins, 2024




Republicans who believe Donald Trump won the 2020 election are anticipating a much more chaotic election cycle this year than other GOP, Democratic, and independent voters, according to new polling data from the SNF Agora Institute at Johns Hopkins University.

Among Republican respondents who believe President Joe Biden did not lawfully win the 2020 election, about 31% think that either “a lot” or “a great deal” of political violence will occur after the 2024 election—compared to 24% of Democratic voters, 21% of independents and just 12% of GOP voters who acknowledge Biden’s victory four years ago, the poll found. 

In addition, 65% of Republicans known popularly as “election deniers” also believe that the United States is “very likely” or “somewhat likely” to lapse into a civil war—higher than the 40% of other Republicans, 43% of Democrats, and 46% of independents who expressed similar sentiments.

The poll questioned 2,000 Americans eligible to vote and was conducted July 26-30 by Lilliana Mason and Scott Warren from SNF Agora Institute and YouGov, a polling and data company based in the United Kingdom. The poll is the first of four that will take place during this election season and was commissioned as part of an effort to better understand the U.S. electorate and the growing divide between Republicans who do not accept the 2020 election results and those who do. 

"Fortunately, most Americans don’t think the same way as the 2020 election deniers. But that doesn’t mean we’re in the clear. Expecting chaos can fuel more chaos,” said Mason, a political science professor who studies political violence and polarization and who is co-lead on the project with Warren.  “If we’re not diligent, that chaos can unravel the foundational threads of our democracy.” 

Researchers worked with YouGov to poll a demographically and politically representative sample of the U.S. electorate. Respondents were asked about their party affiliations, the 2020 election results, where they get their information from, and what they think about people from other parties.  

Most respondents—nearly 70%—think it’s important to accept election results even if their candidate loses.

“For a free and fair democratic election to work, people need to believe in the electoral system and accept the outcome,” said Warren, an SNF Agora fellow. “Our elected leaders should heed the fact that the vast majority of Americans believe that our elections work, and that losing candidates should concede. Rather than sowing doubts, leaders need to talk about how these democratic institutions work and build trust with the electorate.”

Of note, 85% of respondents are still concerned about misinformation in the election.

Republicans who believe Trump won in 2020 are more concerned about misinformation than any other group surveyed and believe “liberal media” are responsible. These respondents also stated they are most likely to turn to “their favorite television news anchor,” “friends and family,” and “chief election officers” for information about the outcomes of elections in their states.

Democrats blamed misinformation nearly equally between “Republican politicians” and “conservative media” and reported relying on chief election officers for election results sooner than GOP respondents.

“We know that what leadership does matters. Leaders in politics and media have a real influence on their supporters,” Mason said. “If they continue to push a dangerous and chaotic vision of what the election might look like, they could end up creating a self-fulfilling prophecy. If they prefer to have a nonviolent election, there are some simple and easy things they can do.”

Mason said that leadership can refrain from inflammatory rhetoric, clearly state that violence from supporters is unacceptable, and disavow violence when it occurs. 

Researchers will survey the same pool of respondents again in September, mid-October, and after the election in November to chart how their opinions and feelings shift over the presidential election cycle.

Poll question: How close do you think the United States of America is to another civil war? 

Other key findings: 

  • If the election were held today, 43% of respondents would vote for Kamala Harris and 42% would vote for Donald Trump. 
  • Most Americans don’t trust the losing party to accept the election results. Only 16% of Democrats think Republicans will accept election results if their candidate loses in November, and only 15% of Republican election deniers think Democrats will accept the results if their candidate loses (50% of the other Republicans think Democrats will accept the results of a losing result).
  • Majorities of all voters agreed that violence is not justified to prevent an opposing party from controlling the country. 

Click here for access to poll figures.


Smooth sailing for eggplant: breakthrough in understanding prickle formation



 News Release 

Nanjing Agricultural University The Academy of Science

Morphological characterization of prickle in eggplant. 

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Morphological characterization of prickle in eggplant. ah Phenotype comparison between two parental lines in different tissues: stems (ab), leaves (cd), flowers (ef), and fruits (gh) from the prickly eggplant ‘PI 381159’ and the prickleless eggplant ‘XQ23’, respectively. Black bars represent scales of 1 cm. i Scanning electron micrographs of longitudinally sliced prickles. j Magnified representation of the section highlighted by the white square in graph, illustrating the junction between the prickle and the stem epidermis. Black bars represent scales of 1 mm (ij).

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Credit: Horticulture Research




Scientists have discovered the gene responsible for prickles in eggplants, a trait that complicates farming. Using advanced genetic techniques, they identified the Prickly Eggplant (PE) gene on chromosome 6 and pinpointed SmLOG1 as the key factor. CRISPR-Cas9 gene editing confirmed that disabling SmLOG1 eliminates prickles, paving the way for prickle-free eggplant varieties. This breakthrough not only sheds light on prickle development but also promises to streamline eggplant cultivation and harvesting, benefiting the agricultural industry.

Eggplants, a staple crop globally, present significant challenges in cultivation and harvesting due to their prickles. These prickles, which serve as a natural defense mechanism, complicate handling and reduce efficiency in agricultural practices. Addressing these issues is crucial for improving farming outcomes. Consequently, researchers are focused on understanding the genetic basis of prickle formation to develop prickle-free eggplant varieties. Based on these challenges, there is a pressing need to conduct in-depth research and identify solutions for more efficient eggplant cultivation.

Researchers from Jiangsu Normal University, in collaboration with the Chinese Academy of Agricultural Sciences, have made significant strides in this area. Their findings (DOI: 10.1093/hr/uhae134), published in the prestigious journal Horticulture Research on May 10, 2024, focus on the identification of a key gene responsible for the prickly phenotype in eggplants.

The research team employed bulk segregant RNA-sequencing (BSR-seq) and linkage analysis to identify the Prickly Eggplant (PE) gene on chromosome 6, which is crucial for prickle formation in eggplants. They discovered that the SmLOG1 gene, encoding a cytokinin biosynthetic enzyme, plays a pivotal role in this process. Through CRISPR-Cas9 gene editing, they knocked out SmLOG1 in prickly eggplants, resulting in plants completely devoid of prickles. This confirmed the gene's essential role in prickle development. Furthermore, the study identified a specific SNP in the SmLOG1 promoter region associated with prickle variation, which can be used as a molecular marker for breeding. This groundbreaking research not only advances our understanding of the genetic mechanisms behind prickle formation but also offers practical applications in breeding prickleless eggplant varieties, significantly enhancing agricultural efficiency and reducing the labor required for cultivation and harvesting.

Dr. Lei Zhang, the lead researcher, stated, "This breakthrough in understanding the genetic basis of prickle formation in eggplants is a significant step forward. It not only solves a long-standing agricultural problem but also showcases the power of genetic research in improving crop varieties."

The identification of the PE gene and its association with prickle formation paves the way for developing prickleless eggplant varieties through marker-assisted selection (MAS). This advancement holds promise for making eggplant cultivation and harvesting more efficient and less labor-intensive, ultimately benefiting farmers and the agricultural industry.

###

References

DOI

10.1093/hr/uhae134

Original Source URL

https://doi.org/10.1093/hr/uhae134

Funding information

This work was supported by the National Natural Science Foundation of China (Nos 32102378 and 32101732), the Young Elite Scientist Sponsorship Program by Jiangsu Association for Science and Technology (No. JSTJ-2022-051), the Natural Science Foundation of Xuzhou City (No. KC23053), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

About Horticulture Research

Horticulture Research is an open access journal of Nanjing Agricultural University and ranked number one in the Horticulture category of the Journal Citation Reports ™ from Clarivate, 2022. The journal is committed to publishing original research articles, reviews, perspectives, comments, correspondence articles and letters to the editor related to all major horticultural plants and disciplines, including biotechnology, breeding, cellular and molecular biology, evolution, genetics, inter-species interactions, physiology, and the origination and domestication of crops.