Tag: Science

  • Naturally occurring hederagenin found to bind to the pain regulation receptor

    Naturally occurring hederagenin found to bind to the pain regulation receptor

    [ad_1]

    Naturally occurring hederagenin binds to pain regulation receptor
    Hederagenin blocks the activation of the neuropeptide FF receptor 1, a protein found mainly in the spinal cord and areas of the brain involved in pain perception. Credit: Hannah Lentschat

    A team of scientists led by Professor Annette Beck-Sickinger from the Institute of Biochemistry at Leipzig University has made an important advance in pain relief research. They discovered that hederagenin, a naturally occurring substance found in the medicinal plant ivy, binds to the pain regulation receptor. Extracts of ivy (Hedera helix) have antispasmodic and analgesic effects in phytomedicine.

    In the search for selective inhibitors of the protein neuropeptide FF receptor 1, which is relevant for human pain regulation, the researchers discovered that hederagenin is well suited for this purpose. They have now published their findings in the journal Angewandte Chemie International Edition.

    Neuropeptide FF receptor 1 (NPFFR1) is a G protein-coupled receptor (GPCR) involved in the signaling of various physiological processes in the human body. In recent years, it has been discovered that this protein is mainly found in the spinal cord and in areas of the brain involved in pain perception. Blocking this receptor could help treat chronic pain. This has not been possible until now because NPFFR1 has many similar relatives.

    Two scientists from Beck-Sickinger’s research group tested thousands of substances. Michael Schaefer, Professor of Pharmacology at the Faculty of Medicine, provided a screening platform for this purpose. The researchers came across the naturally occurring substance hederagenin.

    They characterized the binding mode of the inhibitor in detailed in vitro studies. Computer modeling of the three-dimensional receptor-inhibitor complex by Professor Jens Meiler’s group at the Institute for Drug Discovery confirmed this insight.

    “These findings make a significant contribution to understanding the activation mechanism of NPFFR1 and may facilitate the rational design of future therapeutics for chronic pain. They demonstrate the importance of basic research in translating findings into applications,” says Professor Beck-Sickinger.

    More information:
    Hannah Lentschat et al, Hederagenin is a Highly Selective Antagonist of the Neuropeptide FF Receptor 1 that Reveals Mechanisms for Subtype Selectivity, Angewandte Chemie International Edition (2024). DOI: 10.1002/anie.202417786

    Provided by
    Leipzig University


    Citation:
    Pain relief research: Naturally occurring hederagenin found to bind to the pain regulation receptor (2024, December 9)
    retrieved 9 December 2024
    from https://phys.org/news/2024-12-pain-relief-naturally-hederagenin-receptor.html

    This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
    part may be reproduced without the written permission. The content is provided for information purposes only.



    [ad_2]

    Source link

  • New strategy for designing pure red OLED materials shows potential for ultrahigh-definition displays

    New strategy for designing pure red OLED materials shows potential for ultrahigh-definition displays

    [ad_1]

    New strategy for designing pure red OLED materials
    Molecular design concept and chemical structures of the emitters. Credit: USTC

    A research team has proposed a new strategy for designing pure-red organic light emitting diodes (OLED) materials. These materials have achieved a milestone with electroluminescence efficiencies exceeding 43%, marking a significant step toward high-performance ultrahigh-definition OLED displays. The study was published online in the Journal of the American Chemical Society.

    OLEDs have emerged as a leading technology due to their unique features such as flexibility and bright self-emission. However, the performance of red OLEDs, especially in the saturated red region, has lagged behind that of their blue and green counterparts. The development of efficient red emitters with high color purity has been a major challenge in the field.

    Focusing on overcoming the challenge of red light emitters, the research team proposed a new strategy for the design of pure-red OLED materials with high luminous efficiency, excellent color purity, and long-term stability. The key innovation lies in the molecule BNTPA, which was designed to incorporate secondary electron-donating units and extend the π-skeleton within multiresonance cores. This structural modification significantly enhances intramolecular charge transfer, enabling the molecule to more efficiently handle the excitation energy.

    As a result, light emission is effectively shifted into the red spectrum, while still maintaining narrowband characteristics for ensuring high color fidelity, which is a key requirement for high-definition displays. To further improve the molecular design, the team optimized the reverse inter-system crossing (RISC) process. BNTPA’s refined structure not only accelerates the RISC rate but also ensures a balanced combination of short-range and long-range charge transfer characteristics.

    This balance is particularly important for improving the overall photophysical performance of the emitter, as it minimizes energy loss and improves both the luminous efficiency and stability of the OLEDs. Additionally, the integration of secondary electron-donating units stabilizes the excited states of BNTPA, reducing non-radiative decay and preventing energy loss that often occurs in red-emitting materials.

    This enhancement of the molecular architecture ensures that BNTPA-based OLEDs achieve greater operational stability and longer lifetimes, making them suitable for practical, long-term use in real-world applications.

    OLEDs based on BNTPA achieved a record-breaking external quantum efficiency exceeding 43%. Its CIE value is (0.657, 0.343), and aligns closely with NTSC standards (0.67, 0.33), achieving excellent color purity. These advancements are attributed to the molecule’s optimized design, which enhances energy efficiency and operational stability. This establishes BNTPA as a benchmark for next-generation high-performance red MR-TADF emitters.

    This research sets a precedent for future research and practical deployment in high-definition displays and next-generation electronic devices. It also contributes to the development of energy-efficient and durable lighting systems, enabling OLED displays to meet stringent color standards.

    The team was led by Prof. Cui Songlin at University of Science and Technology of China (USTC), in collaboration with Prof. Zhou Meng’s team from Beijing Information Science and Technology University (BISTU).

    More information:
    Lishuang Ge et al, Efficient and Stable Narrowband Pure-Red Light-Emitting Diodes with Electroluminescence Efficiencies Exceeding 43%, Journal of the American Chemical Society (2024). DOI: 10.1021/jacs.4c13375

    Provided by
    University of Science and Technology of China


    Citation:
    New strategy for designing pure red OLED materials shows potential for ultrahigh-definition displays (2024, December 9)
    retrieved 9 December 2024
    from https://phys.org/news/2024-12-strategy-pure-red-oled-materials.html

    This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
    part may be reproduced without the written permission. The content is provided for information purposes only.



    [ad_2]

    Source link

  • Scientists achieve low-temperature, efficient degradation of ‘forever chemicals’

    Scientists achieve low-temperature, efficient degradation of ‘forever chemicals’

    [ad_1]

    Scientists achieve low-temperature, efficient degradation of 'forever chemicals'
    Credit: USTC

    A research team led by Prof. Kang Yanbiao from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences has made a significant discovery in the field of environmental chemistry. They developed a novel photocatalyst named KQGZ, which can photocatalytically defluorinate polyfluoroalkyl and perfluoroalkyl substances (PFAS) at a low temperature range of 40°C–60°C. This finding has been published in Nature.

    PFAS, referred to as “forever chemicals,” possess high thermal and chemical stabilities as well as hydrophobic and oleophobic properties because of the inert carbon-fluorine (C–F) bonds. As a result, they are widely used in various fields such as chemicals, electronics and medical devices.

    However, the inertness of the C–F bonds also makes it difficult for PFAS to decompose through defluorination under natural environment or mild conditions. For example, pyrolysis of Teflon usually proceeds at over 500°C and toxic gases are released. The disposal of PFAS into the natural environment has led to a series of environmental and health issues.

    To address the challenges, the team designed and created an organic super-photoreductant called KQGZ based on the characteristics of photoreductants’ strong reducibility under specific light conditions. As a type of photoreductant, KQGZ can be excited by absorbing light and transfer an electron from its excited state to other organic molecules.

    By adding KQGZ to the reaction system and experimenting with various reaction conditions, the team achieved complete defluorination and mineralization of Teflon and small molecule PFAS at low temperatures for the first time, efficiently recycling them into inorganic fluoride salts and carbon resources.

    More specifically, the study’s core experiments involved the application of KQGZ as a photocatalyst under visible light to defluorinate a range of PFASs, including polytetrafluoroethylene (PTFE), perfluorocarbons (PFCs), perfluorooctane sulfonic acid (PFOS), polyfluorooctanoic acid (PFOA), and their derivatives.

    The process resulted in the formation of amorphous carbon and fluoride salts from PTFE, while oligomeric PFASs yielded a variety of carbonate, formate, oxalate, and trifluoroacetate products. This not only addresses the degradation of PFASs but also enables the recycling of fluorine in the form of inorganic fluoride salts.

    A detailed mechanistic investigation was also conducted to understand the reaction behavior and product composition differences between PTFE and oligomeric PFAS. The researchers discovered that the photocatalytic reduction ability is not directly correlated with the excited oxidation potential of the photocatalyst, challenging the traditional paradigm in the field.

    This insight suggests that the electron transfer ability of the photocatalyst may be related to the torsion of the carbazole ring, a finding that could guide the design of more effective photocatalysts in the future.

    Finally, the study also meticulously investigated the effects of various reducing reagents, finding that most demonstrated good reactivity, with γ-terpinene and cesium formate yielding the highest results. Control experiments confirmed the indispensable role of light, photocatalyst, and reducing reagent in the defluorination process.

    This study not only reports for the first time the promoting effect of highly twisted carbazole-cores on the electron transfer of super-photoreductants, but also shows that the excited oxidative potential of photoreductants is not directly related to their reduction ability, and therefore should not be the only standard for the photoreduction ability. In addition, the ability to completely defluorinate Teflon and other PFAS can serve as a standard for the reduction ability of organic reductants.

    More information:
    Hao Zhang et al, Photocatalytic low-temperature defluorination of PFASs, Nature (2024). DOI: 10.1038/s41586-024-08179-1

    Provided by
    University of Science and Technology of China


    Citation:
    Scientists achieve low-temperature, efficient degradation of ‘forever chemicals’ (2024, December 9)
    retrieved 9 December 2024
    from https://phys.org/news/2024-12-scientists-temperature-efficient-degradation-chemicals.html

    This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
    part may be reproduced without the written permission. The content is provided for information purposes only.



    [ad_2]

    Source link

  • Tailoring all-metal-made aerogels as self-supported electrocatalysts

    Tailoring all-metal-made aerogels as self-supported electrocatalysts

    [ad_1]

    Unveiling multimetallic effects: tailoring all-metal-made aerogels as self-supported electrocatalysts
    The proposed mechanism of the atomic radius-induced ligament size control. Credit: Matter (2024). DOI: 10.1016/j.matt.2024.10.023

    Have you ever imagined that high-density metals could be converted into an ultralight aerogel? This counterintuitive idea was presented in 2009 by Eychmüller’s group, where all-metal-made aerogels, i.e., metal aerogels (MAs), were produced by assembling metal nanoparticles in a controlled manner. Since then, these special and promising materials have been explored by global scientists, gradually forming a new field in materials science.

    MAs composed of more than one metal, namely multimetallic aerogels (MMAs), have received particular attention, because MMAs feature widely tunable properties stimulated by the synergy of multiple metals. For a material structured from multiple components, the first thought might be whether this material will have attributes stemming from each constituent, or if it will feature enhanced performance because of the synergy of different constituents.

    Indeed, many research articles demonstrate that MMAs are often better than single-component MAs in, for example, electrocatalysis. Better performance was primarily achieved by tuning the difference in electrical conductivity, lattice parameters and electronic structure of dissimilar metals.

    I am interested in controlled synthesis because I believe the synthesis ability dictates how far a material goes. Therefore, instead of the application aspect, I am concentrating on the synthesis aspect incurred by multimetallic effects. This is the motivation of our paper published in Matter titled “Manipulating multimetallic effects: Programming size-tailored metal aerogels as self-standing electrocatalysts.”

    In our study, we found that multimetallic effects concurrently impacted the sol-gel process of metals and the ligament size of the resulting MMAs.

    We discovered an unconventional, gravity-driven gelation behavior of metal systems in a Science Advances paper five years ago. We found that the gelation process of metal systems is similar to a precipitation process. Driven by the high density of metals (e.g., the density of gold is ~19.3 g cm-3), the as-formed metal aggregates eventually settle down with the lapse of time and form a monolithic gel at the vessel bottom.

    If the metal aggregate is not solely made up of gold, for example, what will happen for a gold-silver bimetallic system? The incorporation of relatively low-density silver (~10.5 g cm-3) will reduce the average density of metals and thus slow down the sedimentation process, leading to a prolonged gelation time.

    This was proven by our experiments and characterizations using a variety of metal combinations (single, binary and triple metals). It not only offers a way to tune the sol-gel process but also confirms the generality of our proposed gravity-driven gelation mechanism.

    The most exciting and important part is the ligament size control via multimetallic effects. The ligament size is a critical parameter for MAs, for it dictates the nano effects and thus many physicochemical properties of materials.

    Historically, the ligament size is tuned by modulating the initiators or introducing ligands, which may contaminate the resulting MAs. Taking a glance at all reported MAs since 2009, one will recognize that some MAs (e.g., Au, Ag) often feature large ligament sizes while others (e.g., Pd, Pt, Ru, Rh) often feature small ligament sizes. However, almost all alloy aerogels feature small ligament sizes. Then the question arises: What happens when two metals come together?

    Discover the latest in science, tech, and space with over 100,000 subscribers who rely on Phys.org for daily insights.
    Sign up for our free newsletter and get updates on breakthroughs,
    innovations, and research that matter—daily or weekly.

    We thoroughly studied the ligament size change by controllably introducing different types and amounts of auxiliary metals into the main metal systems (e.g., introducing nickel sources to gold sources before conducting the gelation process). We found that 1% auxiliary metals drastically reduced the ligament size by ~ 30% to 78%, which worked for Au, Ag and Cu-based aerogels.

    This impressive phenomenon was rationalized by the atomic radius mismatch between the main metal and the auxiliary metal. The mismatch will retard the layer-type deposition of metal atoms. Instead, the ligament growth will follow an island-type deposition style, thus producing more branches and thinning the ligament size (see image above). Depending on the mismatch degree and the proportion of the auxiliary metal atoms, the ligament size can be well adjusted.

    Finally, using the gravity-driven gelation behavior, we developed a sedimentation-based, non-destructive strategy to boost the electrocatalytic performance of MMAs. This technique avoids the sonication-led structure destruction that was suffered by previously reported MA-based electrocatalysts.

    Briefly, several pieces of carbon paper were placed at the bottom of the reaction vessel, accepting the settled metal aggregates. The in-situ-generated metal aggregates will gradually sediment and enrich on the carbon paper, thus forming a CP-supported intact gel film (the Au-Pt system was used as an example).

    This CP-supported intact Au-Pt gel film was directly used as the working electrode to catalyze the alcohol oxidation reaction. Because of its well-retained network, this intact metal gel manifested record-high performance for both methanol- and ethanol- oxidation reactions.

    In summary, our study not only provides a fresh viewpoint on using multimetallic effects for tuning the preparation and structure of MMAs but also solves the long-lasting challenge of preparing intact metal gel-based electrocatalysts for high-performance catalysis.

    This story is part of Science X Dialog, where researchers can report findings from their published research articles. Visit this page for information about Science X Dialog and how to participate.

    More information:
    Qian Cui et al, Manipulating multimetallic effects: Programming size-tailored metal aerogels as self-standing electrocatalysts, Matter (2024). DOI: 10.1016/j.matt.2024.10.023

    Ran Du received his B.E. in 2011 from Beijing Institute of Technology and PhD degree in 2016 from Peking University. After successive research stays at Nanyang Technological University (2016–2017), TU Dresden (2017–2019, sponsored by Humboldt fellowship), and Hong Kong University (2020–2021), he joined the Beijing Institute of Technology as a professor in 2021. His research interest lies in the creative synthesis of advanced aerogels (e.g., metal aerogels, nanocarbon aerogels, etc.) and exploring their smart applications in catalysis, environment remediation, and smart materials.

    Citation:
    Unveiling multimetallic effects: Tailoring all-metal-made aerogels as self-supported electrocatalysts (2024, December 9)
    retrieved 9 December 2024
    from https://phys.org/news/2024-12-unveiling-multimetallic-effects-tailoring-metal.html

    This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
    part may be reproduced without the written permission. The content is provided for information purposes only.



    [ad_2]

    Source link

  • Scientists solve one of the hardest problems in the computational atomic-scale mechanics of materials

    Scientists solve one of the hardest problems in the computational atomic-scale mechanics of materials

    [ad_1]

    Scientists solve one of the hardest problems in the computational atomic-scale mechanics of materials
    Graphical abstract. Credit: Macromolecules (2024). DOI: 10.1021/acs.macromol.4c01360

    Currently employed computational methods to simulate materials and their mechanical behavior are based on molecular dynamics (MD) with atomistic force-fields. These methods provide an excellent description of the thermodynamically stable phases of materials with arbitrary chemical and microstructural complexity.

    However, simulating the mechanical deformation behavior of materials at the atomistic level, or, in general, the response of a material to an external time-dependent stimulus, has been an open challenge for a long time. The main bottleneck is represented by the inevitably short time scale of integration of the equations of motion (just a few femtoseconds) that atomistic MD methods rely on. This is a necessary step in order to discretize the equations of motion that govern atomic motions and collisions, in order to solve them on a computer.

    This limitation makes it impossible to simulate the dynamical deformation of materials on long time scales encountered in experiments, i.e., for deformation rates lower than ~10 to 100 gigahertz. This fundamental time-scale bridging problem is currently unsolved, and prevents the computational prediction of material mechanics in the regimes that are experimentally accessible in standard mechanical tests and rheology.

    With my post-doc, Dr. Vinay Vaibhav, and with my long-time collaborator at the US Army Research Lab, Dr. Tim Sirk, I have now developed a computational framework that provides a working solution to this problem, arguably one of the biggest problems in molecular simulations of materials under deformations and external stimuli.

    The key idea of our approach is that the mechanical response at the low frequencies (e.g., around the Hertz) is dominated by atomic displacements known as nonaffine displacements. A nonaffine displacement is a swerve in the trajectory of an atom, which thus deviates from the trajectory prescribed by the externally imposed deformation (akin to Epicurus’s “clinamen,” if you are familiar with Greek philosophy).

    The origin of this swerve is the necessity to enforce mechanical equilibrium at every step in the deformation. In other words, at each step, the atom receives forces from its neighbor atoms, which need to be relaxed via an extra motion, the nonaffine swerve.

    As my collaborators and I have come to realize over the years, implementing this description of atomic trajectories implies computing the vibrational normal modes of the system, which can be done with modern computational techniques.

    This has now allowed us, in a paper published in the journal Macromolecules, to achieve a parameter-free agreement with the viscoelastic moduli of a real complex material, a crosslinked epoxy polymer glass in its amorphous solid state, at frequencies that are about 10 orders of magnitude lower than those that can be achieved by simulating the deformation process in standard molecular dynamic simulations.

    The agreement with experimental data from mechanical tests is striking, considering that no adjustable parameters are involved in the comparison.

    Our approach can still be refined in future work, e.g., by taking larger snapshots of the material configuration, with an increasing number of atoms, which will improve our predictions and reduce the noise from numerical fluctuations.

    An exciting prospect offered by this method is that of being able to single out the atomic and molecular vibrations, and motions, that are mostly responsible for the stiffness and hardness of a given material (or, conversely, for its softness), with plenty of opportunities for the development of new materials with high-performance properties for many technological and engineering applications.

    This story is part of Science X Dialog, where researchers can report findings from their published research articles. Visit this page for information about Science X Dialog and how to participate.

    More information:
    Vinay Vaibhav et al, Time-Scale Bridging in Atomistic Simulations of Epoxy Polymer Mechanics Using Nonaffine Deformation Theory, Macromolecules (2024). DOI: 10.1021/acs.macromol.4c01360

    Bio:
    Alessio Zaccone received his Ph.D. from the Department of Chemistry of ETH Zurich in 2010. From 2010 till 2014 he was an Oppenheimer Research Fellow at the Cavendish Laboratory, University of Cambridge.
    After being on the faculty of Technical University Munich (2014–2015) and of University of Cambridge (2015–2018), he has been a full professor and chair of theoretical physics in the Department of Physics at the University of Milano since 2022. Awards include the ETH Silver Medal, the 2020 Gauss Professorship of the Göttingen Academy of Sciences, the Fellowship of Queens’ College Cambridge, and an ERC Consolidator grant (“Multimech”).
    Research contributions include the analytical solution to the jamming transition problem (Zaccone & Scossa-Romano PRB 2011), the analytical solution to the random close packing problem in 2d and 3d (Zaccone PRL 2022), the theory of thermally-activated reaction rate processes in shear flows (Zaccone et al PRE 2009), the theory of crystal nucleation under shear flow (Mura & Zaccone PRE 2016), the theoretical prediction of boson-like peaks in the vibrational spectra of crystals (Milkus & Zaccone PRB 2016; Baggioli & Zaccone PRL 2019), the theory of the glass transition in polymers (Zaccone & Terentjev PRL 2013), the theoretical and computational discovery of topological defects in glasses (Baggioli, Kriuchevskyi, Sirk, Zaccone PRL 2021), and the theoretical prediction of superconductivity enhancement effects due to phonon damping (Setty, Baggioli, Zaccone PRB 2020).
    Research interests range from the statistical physics of disordered systems (random packings, jamming, glasses and the glass transition, colloids, nonequilibrium thermodynamics) to solid-state physics and superconductivity.

    Citation:
    Scientists solve one of the hardest problems in the computational atomic-scale mechanics of materials (2024, December 9)
    retrieved 9 December 2024
    from https://phys.org/news/2024-12-scientists-hardest-problems-atomic-scale.html

    This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
    part may be reproduced without the written permission. The content is provided for information purposes only.



    [ad_2]

    Source link

  • Meet the Plant Hacker Creating Flowers Never Seen (or Smelled) Before

    Meet the Plant Hacker Creating Flowers Never Seen (or Smelled) Before

    [ad_1]

    The money he earned doing that was enough to put Cocioba through the first couple of years of a biology degree at Stony Brook University. He completed a stint with a neglected plant biology group that taught him to experiment on a shoestring budget. “We were using toothpicks and yogurt cups to do petri dishes and all of that,” he says. But financial difficulties meant he had to drop out. Before he left, one of his labmates handed him a tube of agrobacterium—a microbe commonly used to engineer new attributes into plants.

    Image may contain Person Flower Plant Petal Flower Arrangement and Test Tube

    A Petunia bioengineered by Sebastian Cocioba, a plant biotechnology researcher who works out of his home laboratory in Huntington, New York on October 30, 2024.Lanna Apisukh

    Image may contain Shelf Plant Box and Person

    A shelf of bio engineered plants under grow lights in Sebastian Cocioba’s home on October 30, 2024. The plant biotechnology researcher built a laboratory inside his home where he works out of in Huntington, New York.Lanna Apisukh

    Image may contain Plant Test Tube and Jar

    Test tubes of Petunias under a grow light in Huntington, New York on October 30, 2024. The flowers were bioengineered by Sebastian Cocioba, a plant biotechnology researcher who works out of his home laboratory.Lanna Apisukh

    Cocioba set about transforming his hallway nook into a makeshift lab. He realized that he could buy cheap equipment in fire sales from labs that were shutting down and sell them on for a markup. “That gave me a little bit of an income stream,” he says. Later he learned to 3D-print relatively simple pieces of equipment that are sold at extreme markups. A light box used to visualize DNA, for example, could be cobbled together with some cheap LEDs, a piece of glass, and a light switch. The same device would retail to laboratories for hundreds of dollars. “I have this 3D printer, and it’s been the most enabling technology for me,” Cocioba says.

    All of this tinkering was in aid of Cocioba’s main mission: to become a flower designer. “Imagine being the Willy Wonka of flowers, without the sexism, racism, and strange little slaves,” he says. In the US, genetically modified flower work is covered by the lowest biosafety rating, so it doesn’t subject Cocioba or his lab to onerous regulations. Doing gene-editing as an amateur in the UK or EU would be impossible, he says.

    Cocioba set himself up as a self-described “pipette for hire”—working for startups to develop scientific proof-of-concepts. In the run-up to the 2020 Tokyo Olympics, the plant biologist Elizabeth Hénaff asked Cocioba for help with a project she was working on: designing a morning glory flower with the Games’ blue-and-white checkerboard pattern. It just so happened that a checkerboard flower already existed in nature—the snake’s head fritillary. Cocioba wondered if he could import some of the genes from that plant into a morning glory. Unfortunately it turned out that the snake’s head fritillary had one of the largest genomes on the planet and had never been sequenced. With the Olympics looming, the project fell apart. “It ended in heartbreak, of course, because we couldn’t execute on it.”

    Image may contain Adult Person Cup Clothing and Glove

    A close-up view of Petunia tissue culture grown by Sebastian Cocioba, a plant biotechnology researcher based in Huntington, New York on October 30, 2024.Lanna Apisukh

    Image may contain Baby Person and Symbol

    Test tubes of frozen DNA and plant enzymes inside the home laboratory of Sebastian Cocioba, a plant biotechnology researcher based in Huntington, New York on October 30, 2024.Lanna Apisukh

    As Cocioba moved deeper into the world of synthetic biology, he started to shift his focus slightly—away from just creating new kinds of plants and toward opening up the tools of science itself. Now he documents his experiments on an online notebook that’s free for anyone to use. He also started selling some of the plasmids—small circles of plant DNA—that he uses to transform flowers.

    “We’re at the golden age of biotech for sure,” he says. Access is greater, and the research community is more open than ever before. Cocioba is trying to recreate something like the 19th-century boom of amateur plant breeders—where hobbyist scientists shared their materials partly just for the thrill of creating new plant varieties. “You don’t have to be a professional scientist to do science,” Cocioba says.

    Alongside this work, Cocioba is also a project scientist at the California-based startup Senseory Plants. The company wants to engineer indoor plants to produce unique scents—a biological alternative to candles or incense sticks. One idea he’s playing with is engineering a plant to smell like old books, olfactorily transforming a room into an ancient library. The startup is exploring a whole smellscape of evocative scents, Cocioba says, in part designed in his home laboratory. “I really, really, love what they’re doing.”

    This article appears in the January/February 2025 issue of WIRED UK magazine.

    [ad_2]

    Source link

  • This fearless science sleuth risked her career to expose publication fraud

    This fearless science sleuth risked her career to expose publication fraud

    [ad_1]

    Early this year, Anna Abalkina found out that her name was on a watch list for Roskomnadzor, a Russian agency that tracks online and social-media activity. Abalkina, a Russian citizen now working in Berlin, tries not to worry about it. There shouldn’t be a risk if she were to return to Russia, she reasons. “But the problem is, you never know.” Her colleagues advise against it.

    The reason that she has come under the watchful eye of the Russian state is that she has spent 13 years rooting out fraud in the scientific literature. Her work on plagiarism and on uncovering businesses that sell fake papers — called paper mills — has focused most heavily on Russia and ex-Soviet countries, and more recently on Iran and India.

    Globally, she’s also tracked hijacked journals, which are scam websites that clone authentic journal titles to con authors out of publication fees. Abalkina showed that the hijackers launder their way into respectability by becoming indexed in research databases such as Scopus. Last December, Scopus’s owner Elsevier deleted all of its links to journal home pages to counteract the problem — acknowledging Abalkina’s work. But this June, she reported that several hijacked journals continue to infiltrate Scopus.

    “Cases of journal hijacking can be complex and ever-changing,” a spokesperson for Elsevier said, adding that the publisher was continually adjusting its processes so that Scopus indexed only high-quality, trusted content.

    Then, this November, Abalkina flagged an unusually bold effort to clone journal sites from major publishers. They say they’re looking into the scam.

    Abalkina is one of a growing cohort of sleuths working to decontaminate the literature. But she’s unusual in studying activity in Russia, in being funded to do some of this work — at the Free University of Berlin’s Institute of East European Studies — and in her focus on how fraud systems operate.

    “She has considerable skills in doing the sorts of analyses that allow her to explore networks of people,” says Dorothy Bishop, a neuropsychologist at the University of Oxford, UK, who collaborated with Abalkina to document a paper mill that got six illegitimate papers published in a psychology journal (which were subsequently retracted). “She is doing very important work,” Bishop adds.

    Abalkina’s introduction to research misconduct came in the early 2010s, when she was at Moscow’s Financial University, working in international economics. She was shocked to find that a PhD student had plagiarized two of her papers, copying large parts of the works. When she complained, the journal issued only a correction, saying that the author forgot to reference her work. (The student later gave up their degree after Abalkina applied pressure to their university.)

    Abalkina then got involved in Dissernet, a grass-roots network of academics and journalists that examined Russian PhD theses en masse for plagiarism in 2013. It got hundreds of degrees revoked and implicated many high-profile Russian politicians.

    During that time, Abalkina left Russia to pursue an economics PhD in Italy on Russian banks. She thought that she had left behind the peculiar distortions of research she’d seen in the Russian system. But instead she encountered a barrage of international research fraud, including fake studies, bribed journal editors and paper mills. Now in Berlin, Abalkina is funded to study Russian governance, plagiarism and how paper mills and other bad actors in the research publishing world operate.

    Abalkina estimates that her work has led to hundreds of retractions — in particular resulting from her 2021 investigation into how a company called International Publisher, headquartered in Russia, seems to sell authorship slots on papers.

    [ad_2]

    Source link

  • the DeepMind researcher making faster, more accurate forecasts

    the DeepMind researcher making faster, more accurate forecasts

    [ad_1]

    Rémi Lam had heard about San Francisco’s microclimates, but he didn’t realize how idiosyncratic they could be until he moved there this year. “The street I live in can be foggy, and it’s sunny two blocks down,” he says. Weather forecasts for the city can be wildly incorrect depending on the location. Even state-of-the-art weather forecasts can’t predict the city’s microclimates and how they will vary.

    Lam has spent a lot of time thinking about weather and how to forecast it. As a researcher at Google DeepMind, the artificial intelligence (AI) firm based in London, Lam has been pioneering the use of machine learning to improve weather prediction. This field has made rapid advances in the past few years, and Lam and his colleagues have been at the forefront of these efforts.

    They’re not alone. A number of groups are racing to develop AI-aided weather forecasts, including those at Microsoft, Nvidia, Huawei and the European Centre for Medium-Range Weather Forecasts (ECMWF) in Reading, UK. But for much of this year, the leading AI in terms of accuracy was a project called GraphCast, led by Lam (R. Lam et al. Science 382, 1416–1421; 2023).

    “GraphCast raised the bar up in terms of skill of forecasting,” says Matthew Chantry, who leads research on AI-based weather prediction at the ECMWF.

    Conventional weather forecasts are sophisticated programs that simulate the evolution of Earth’s atmosphere on the basis of known physics of how air, heat and water vapour move around the planet. GraphCast is an artificial neural network that is shaped like a grid covering the globe. Lam and his collaborators ‘trained’ it with data based on real atmospheric measurements, but without giving it any explicit knowledge of physical laws. Still, the AI forecasts were by many measures better than the conventional ones. “I was surprised it outperformed the physics-based forecasts so quickly — I thought it would take longer,” says Lam.

    And although the training is computationally intensive, the forecasts take less than a minute on an advanced desktop computer — versus the hours of supercomputer running time for conventional ones.

    Lam was born in a suburb of Paris in 1988, and trained as an aerospace engineer in France and the United States. He then realized that his understanding of the statistical modelling of fluid mechanics could be helpful to those using AI. DeepMind, with a culture focused on solving scientific problems, turned out to be an ideal fit. “There’s just no better place to do machine learning,” he says.

    Maria Molina, an atmospheric scientist who applies AI to weather and climate modelling at the University of Maryland in College Park, gives credit to corporations such as Google for making their weather models available for anyone to download and run on their computers — at least so far. “At some point, when does that goodwill run out?” It could be worrying if those companies some day came to monopolize the best-available forecasts, she adds, especially when it comes to extreme weather events. “We should never expect the public to pay for access to life-saving information.”

    [ad_2]

    Source link

  • the state of H5N1 avian influenza risk

    the state of H5N1 avian influenza risk

    [ad_1]

    Hello Nature readers, would you like to get this Briefing in your inbox free every day? Sign up here.

    Animated sequence of photos of the ten people featured in Nature’s 10 this year.

    A fraud buster, a nuclear-clock maker and a virus hunter are just a few of the remarkable people chosen for this year’s Nature’s 10. The list, compiled by Nature’s editors, includes Kaitlin Kharas, a PhD student who helped to lead a campaign to get Canadian graduate students and postdocs their biggest pay rise in 20 years; and Muhammad Yunus, an economist and Nobel peace laureate who is now the interim leader of Bangladesh.

    Nature | 10 profiles

    The European Union (EU) has appointed Bulgarian politician Ekaterina Zaharieva as commissioner for start-ups, research and innovation in its five-yearly shake-up of its executive body. Zaharieva will help to shape their next multibillion-euro science programme, the follow-up to the Horizon Europe scheme. The inclusion of ‘start ups’ in Zaharieva’s title, a first for the position, reflects the increased focus on business. Commission president Ursula von der Leyen has pledged to prioritize science during her second term, as the EU aims to become less dependent on US and Chinese technologies.

    Nature | 5 min read

    Clay bowls discovered in Iraq could be evidence of one of the world’s earliest governments. Residue in the bowls suggests they were used to serve meals, which researchers suggest were given out in exchange for labour — a form of centralized authority. Evidence that the site was later abandoned without any signs of violence or environmental pressures hints that local people might have rejected the authority and left. “Hierarchical forms of government were not inevitable in the development of early complex societies,” says archaeologist Claudia Glatz. “Local communities found ways to resist and reject tendencies towards centralized power.”

    LiveScience | 5 min read

    Reference: Antiquity paper

    In a collection of nearly 3,400 papers from 2023 that included at least one bar chart, almost one-third distorted the data in some way, according to new analysis that has not yet been peer reviewed. Most issues related to failing to start the y axis at zero, or mistakes with logarithmic axes. The former can make small disparities look larger; the latter can minimize differences. On the other hand, these choices can be examples of ‘scientific shorthand’ that are well-understood within the biz. “These authors are correctly pointing out that many people could misunderstand what is being stated,” says data-visualization scientist Helena Jambor. “But that does not mean that it was necessarily incorrect or that two scientists talking about the data would misunderstand one another.”

    Nature | 5 min read

    Reference: bioRxiv preprint (not peer reviewed)

    H5N1 bird flu

    Feature

    The label ‘2.3.4.4b’ refers to the clade of the H5N1 avian influenza virus that has been ripping through populations of birds and wild animals since 2021, and is now sweeping through cattle in the United States. But the H5N1 virus has been on scientists’ pandemic radar since it killed six people in Hong Kong in 1997. That’s given researchers time to get its measure, revealing the virus’s potential weak points, and what might trigger a dangerous shift in its ability to infect and harm people.

    Science | 8 min read

    Opinion

    Former US chief science officer David Kessler, who co-led the country’s wildly successful ‘Operation Warp Speed’ COVID-19 vaccine-development programme, says the US government must track the risk of H5N1 avian influenza with similar zeal. Right now, the risk is low to people who are not in contact with animals, but he sees worrying signs that the virus could mutate and start to spread between humans.

    • The United States is already stockpiling enough doses of a vaccine to inoculate its farmworkers, but the current version is only moderately effective. Better vaccines and treatments are needed, says Kessler.

    • It’s estimated that in California, as many as half the dairy farms harbour H5N1 infections. Kessler recommends that people drink pasteurized milk (not ‘raw’) to protect themselves. And milk should be tested in bulk to better understand and contain the virus’s spread.

    The New York Times | 6 min read

    Features & opinion

    Nature’s pick of nine books to shape your science career in 2025 includes an investigation of toxic workplaces and how to fix them, a guide to being more influential at work, and a rejection of ‘performative busyness’ in favour of working at a natural pace with a focus on quality.

    Nature | 9 min read

    For the best and safest results, academics and industry scientists must collaborate to guide the development of more powerful forms of AI, argues a Nature editorial. Much of the work to develop such AI is happening in private companies, which don’t always publish openly. Governments, companies, funders and researchers must identify their complementary strengths so that applications of AI research are robust, its risks are mitigated as much as possible, and tech companies’ claims can be verified independently.

    Nature | 6 min read

    Where I work

    Geomorphologist Jeong-Sik Oh in equilibrium on a mountain slope holding a tablet to track hidden geographic markers on the surface to find places where active faults are likely to exist.

    Jeong-Sik Oh is a geomorphologist at Kyungpook National University in Daegu, South Korea.Credit: Dave Tacon for Nature

    “Until the Tōhoku earthquake in 2011 caused the nuclear disaster at Fukushima in nearby Japan, people in South Korea had not paid much attention to active faults,” says geomorphologist Jeong-Sik Oh. “We’ve become more worried about seismic risks since then.” In 2017, South Korea’s government founded the Korea Active Fault Research Group to create the country’s first active-fault map. Oh and others in the group discovered the previously hidden active fault line, which he is examining in the picture, on a ridge in a forested valley. Researchers use drones and lidar to spot such rifts, but “the best tool of all is my feet”, says Oh. (Nature | 3 min read)

    QUOTE OF THE DAY

    Sales of endangered species on social media platforms have soared after a crackdown on street markets, says Simone Haysom, director of environmental crime at the Global Initiative Against Transnational and Organized Crime. (The Guardian | 5 min read)

    On Friday, Leif Penguinson was rock hopping on a stone run in East Falkland, Falkland Islands. Did you find the penguin? When you’re ready, here’s the answer.

    Thanks for reading,

    Flora Graham, senior editor, Nature Briefing

    With contributions by Jacob Smith

    Want more? Sign up to our other free Nature Briefing newsletters:

    • Nature Briefing: Careers — insights, advice and award-winning journalism to help you optimize your working life

    • Nature Briefing: Microbiology — the most abundant living entities on our planet — microorganisms — and the role they play in health, the environment and food systems

    • Nature Briefing: Anthropocene — climate change, biodiversity, sustainability and geoengineering

    • Nature Briefing: AI & Robotics — 100% written by humans, of course

    • Nature Briefing: Cancer — a weekly newsletter written with cancer researchers in mind

    • Nature Briefing: Translational Research — covers biotechnology, drug discovery and pharma

    [ad_2]

    Source link

  • Will humans ever speak wolf? A scientist unravels the complexities of animal chatter

    Will humans ever speak wolf? A scientist unravels the complexities of animal chatter

    [ad_1]

    Download Nature hits the books 09 December 2024

    Zoologist Arik Kershenbaum has spent his career studying animals and how they communicate in the wild. In his book Why Animals Talk: The New Science of Animal Communication, Arik takes a deep dive into the various forms of communication, from wolf howls to gibbon songs, to look at how different species get their points across, why they do it the way they do, and what insights they provide into our own use of language.

    Why Animals Talk: The New Science of Animal Communication Arik Kershenbaum Penguin (2024)

    Music supplied by SPD/Triple Scoop Music/Getty Images

    Wolf howl via NPS & MSU Acoustic Atlas/Jennifer Jerrett

    Slowed down dolphin whistle via Arik Kershenbaum

    Hyrax song via Arik Kershenbaum

    Pileated gibbon song via Rushenb CC BY-SA 4.0

    Never miss an episode. Subscribe to the Nature Podcast on Apple Podcasts, Spotify, YouTube Music or your favourite podcast app. An RSS feed for the Nature Podcast is available too.

    [ad_2]

    Source link