Researchers confirm vertical COVID-19 transmission in pregnant woman, resulting in fetal complications and death. The study's proteomics method detects SARS-CoV-2 proteins in infected placenta for the first time.
The study analyzed 39 variants of lunar human landers, considering key architectural decisions such as number of stages and propellant type. The analysis showed that expendable systems with 2-stage architecture are advantageous, but reusable vehicles with 1-stage or 3-stage systems offer comparable advantages.
A team of Skoltech researchers demonstrates that universal adversarial perturbations (UAPs) can be explained by classical Turing patterns. This finding can help construct a theory of adversarial examples and design defenses against pattern recognition systems.
Researchers at Skoltech have successfully synthesized Yttrium Hydride (YH6), a high-temperature superconductor that ranks among the top three known to date. The material exhibits superconductivity at temperatures of up to 243 K, with critical magnetic field discrepancies yet to be fully explained.
Researchers at Skoltech have proposed a photonic device using liquid crystals in optical resonators to study their optical properties. The device can simulate electronic devices using photons, potentially increasing processing speed and reducing energy consumption.
Scientists have discovered a natural inhibitor of topoisomerases II that can combat fluoroquinolone-resistant gram-negative bacteria. Nybomycin, a 'reverse antibiotic,' blocks the gyrase enzyme, rendering it effective against strains previously resistant to other antibiotics.
Researchers studied the fatigue properties of CrFeCoNi alloy produced by Laser-Powder Bed Fusion technique, revealing improvements in plasticity and extended fatigue life after annealing. The study aims to advance the use of high-entropy alloys in industries and mechanical engineering.
Polaritons form structures behaving like molecules, with properties such as new energy states and optical properties. Artificial polariton molecules have potential uses in quantum information systems, including dissipating less power and operating faster than traditional methods.
A new theoretical model of wave formation in straits and channels accounts for nonlinear effects and improves wave prediction. The research can protect coastline infrastructure and make maritime travel safer.
Researchers from Skoltech have designed a software-based algorithm for synchronizing time across smartphones, achieving an accuracy of several microseconds. This method can be used to create a network of sensors and has potential applications in various fields, including photography and noise cancellation.
The Skoltech team developed an AI system that enables processing images from autonomous greenhouses, monitoring plant growth and automating the cultivation process. The system, based on convolutional neural networks, can classify 18 plant varieties with high accuracy and outperform popular codecs in image size reduction.
Researchers from Skoltech and Russian Academy of Sciences have surveyed the newest known 30-meter deep gas blowout crater on the Yamal Peninsula, forming a 3D model to study its structure and composition. The 3D model reveals a unique underground cavity with an elliptical shape and a circular dome, providing clues about the crater's en...
Researchers from Skoltech have developed biodegradable microcapsules that deliver nerve growth factor to guide neuronal development. The microcapsules demonstrate significant boosting of neuronal growth and formation of functional synapses.
Researchers have discovered a promising mechanism to create nanoelectronics components by reducing current to zero in quantum point contacts. The discovery uses external oscillating fields and provides evidence of non-equilibrium phase transitions, enabling precise control of charge transport.
Researchers propose a new Mass Spectrometry Imaging (MSI) method that uses the theory of human color perception to create more interpretable images. The approach preserves borders and gradients, enabling better analysis of molecular distributions in tissues.
Researchers from Skoltech and international partners study crystal structure and optical properties of new two-dimensional compounds for energy conversion. The study used advanced imaging equipment to analyze the material's structure, leading to potential improvements in photocatalytic activity.
Researchers at Skoltech created a multisensor 'electronic nose' using additive manufacturing technologies, enabling sensitive gas detection in portable electronics and healthcare. The device can distinguish between different alcohol vapors, including methanol, at low concentrations.
Researchers developed an algorithm to identify various tree species in satellite images, enabling efficient forest management and monitoring. The neural network-based approach improves accuracy and stability for practical application.
Researchers at Skoltech have discovered a mixed oxide Na(Li1/3Mn2/3)O2 that shows promise as a cathode material for sodium-ion batteries. The compound exhibits high energy density, no voltage fade over multiple charge cycles, and moisture stability.
Skoltech scientists found that nuclear quantum effects play a significant role in the polarization of alcohols in an external electric field. They discovered that tunneling of excess protons forms intermolecular dipoles with proton-holes, determining dielectric response from dc to THz.
Researchers created new polymer-based cathode materials for lithium dual-ion batteries, achieving up to 25,000 operating cycles and fast charging times. The cathodes can also be used to produce potassium dual-ion batteries, offering a more sustainable alternative to traditional lithium-ion batteries.
Researchers from Skoltech and UTMB have developed an optoacoustic sensor to measure water content in skin, a technique that can monitor swelling or dehydration. The method is safe, non-invasive, and provides high resolution, making it suitable for clinical applications.
Skoltech researchers use chemical sensors and computer vision to monitor grilled chicken doneness, promising automation in kitchen quality control. The system accurately identifies undercooked, well-cooked, and overcooked chicken.
A new approach to studying DNA packaging allows scientists to study individual cells and uncover the underlying mechanisms of chromatin folding. The technique reveals that Drosophila fly cells have structured domains similar to those found in mammalian cells, but with more ordered structures.
Researchers from Russia, China, and the US have synthesized a new superconducting compound, BaH12, with an unusually high hydrogen content. The compound exhibits room-temperature superconductivity due to its molecular structure, marking significant progress in understanding potential room-temperature superconductors.
Researchers from the US, China, and Russia have discovered a novel hydrogen hydrate that forms at room temperature and low pressure. The new form of ice has three water molecules per hydrogen molecule, showing promise for cost-effective hydrogen storage solutions.
A recent study in Nature Communications found evidence of recombination and genetic exchange in bdelloid rotifers, which were previously thought to be asexual. The discovery suggests that these organisms may not be as evolutionarily dead-end as once believed.
Researchers developed SuperNova2, an enhanced version of phototoxic protein SuperNova, for localized oxidative stress and molecular biology tasks. The new protein displays high speed and completeness of maturation, making it suitable for various applications.
A team of researchers has discovered a new complex europium hydride, Eu8H46, which has a structure of 54 atoms. The discovery was made possible by the efficient USPEX crystal structure prediction tool, which helped understand and explain experimental data.
Researchers have discovered two new, compact Cas9 nucleases that can work in human cells and may expand the toolbox for genome editing. The new nucleases have relatively short PAMs, making them suitable for delivery via adeno-associated viral vectors.
Researchers from Skoltech and colleagues developed two models explaining the light-emitting behavior of semiconductor nanoplatelets, which are promising building blocks for optoelectronics. The models reveal trapping of excitons at surface defects and its interplay with diffusion as key reasons for complex kinetics.
Researchers have developed a simple and inexpensive method for testing liquid biological samples using in-fiber multispectral optical sensing. The sensor shows high sensitivity to impurities and can be used for diagnostic purposes and real-time simulations of various biological processes.
Researchers developed wearable electroanalytical sensors for monitoring chronic skin wounds, detecting biomarkers such as pyocyanin, nitric oxide, and uric acid. The sensors showed high sensitivity and selectivity in simulated wound environments and cell cultures.
Researchers at Skoltech have discovered a way to increase the productivity of carbon nanotube synthesis by adjusting catalyst injection rates, leading to a 9-fold increase in yield while preserving key properties. This breakthrough has the potential to pave the way for cheaper and more accessible nanotube-based technology.
A thermodynamic analysis by Skoltech professor Henni Ouerdane and his collaborators shows that waste minimization prevails over efficiency or power maximization in animal locomotion. The study recovered trends with experimental data for walk, trot, and gallop gaits.
The study introduces a new generation of multifunctional materials created by adding carbon nanoparticles to polymer matrices, allowing for self-sensing properties. This technology has the potential to replace sensors in weight-critical systems and manufacture electrically conductive materials for various applications.
Researchers discovered a unique RNA polymerase in crAss-like phages that helps transcribe its genes. The enzyme was found to be inactive in standard tests but active when exposed to specific conditions, revealing new insights into the mechanism of viral infections.
Researchers used a machine-learning model to predict the distribution of palladium atoms on copper surfaces under changing temperatures and hydrogen concentrations. The study found that hydrogen adsorption drives palladium away from the surface at higher pressures and lower temperatures.
Skoltech researchers have developed a novel method for designing and manufacturing complex-shaped ceramic bone implants with controllable porous structures. The FRep method enables the creation of variable density implants tailored to individual patient needs, enhancing tissue fusion efficiency and overall implant performance.
Researchers from Skoltech have created a universal approach for predicting material properties based on their chemical composition. By assigning a Mendeleev number (MN) to each element, they have shown that this system is more effective than empirical solutions in identifying promising compounds with unique properties.
A group of Skoltech scientists created machine learning algorithms that can predict oil viscosity based on nuclear magnetic resonance (NMR) data. This method has the potential to revolutionize the way oil is processed and understood.
Scientists developed BiteNet, a machine learning algorithm using computer vision to analyze protein structures and detect binding sites. The approach expands the array of possible pharmacological targets and improves speed and accuracy.
Researchers at Skoltech have identified a novel liver-specific non-coding RNA, named HELIS, which can be used as a biomarker for liver cancer diagnosis. The discovery provides a new panel of potential biomarkers that help distinguish between benign and malignant tumors.
Skoltech researchers propose a fast and accurate numerical method to address the low spatial resolution of EEG studies. The new approach directly backpropagates measured signals from the skin down to the cortex, increasing accuracy for source localization while speeding up processing.
Researchers at Skoltech have created DroneLight, an interface that enables users to direct drones to create light-painting patterns through hand gestures. The system uses machine learning algorithms and inertial measurement units to track user movements, allowing for intuitive drone control without special training or equipment.
Researchers found that external factors drive positive selection in certain genomic positions, while epistasis leads to negative selection, slowing down substitutions. This discovery sheds light on the complex interplay between environmental pressures and genetic interactions shaping protein evolution.
Researchers discovered that cortical representations of new words form in just 1-2 hours after exposure, suggesting a faster-than-thought process. This finding has implications for diagnosing speech disorders and improving language learning efficiency.
Researchers from Skoltech and MSU have deciphered the molecular mechanism of GFP's green-to-red photoconversion, shedding light on its practical implications. The study suggests that understanding this process may hold key to uncovering ancestral proteins' functions and mitigating photobleaching in microscopy.
Researchers at Skoltech have developed a method to synthesize artificial solid-state crystal structures using only laser light, creating arbitrarily shaped and reprogrammable lattices for exciton-polaritons. This allows for the study of dissipative many-body quantum physics in a unique lattice environment.
Researchers successfully predicted properties of over 120,000 crystal structures using convolutional neural networks, confirming diamond's hardness and suggesting potential superhard materials exist.