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Extracellular vesicles have been exploited as potential therapeutic agents. Here, the authors apply a nanovial technology to select sub-populations of cells that secrete high levels of extracellular vesicles, leading to improved therapeutic efficacy when delivered in vivo.
Skyrmions, a type of topological spin texture, have been proposed for both storing and processing information. Central to this is the ability to manipulate the skyrmions, while at the same time ensuring their stability. Here, Ran, Tan, Sun and coauthors observe the bending of skyrmion strings under a thermal gradient, providing key evidence for the existence of magnon friction.
Multi-stable structures are useful in soft robotics with fewer and lightweight actuators for rapid motion. Here, authors propose a full cycle design framework for morphing structures including multi-stability, stiffness design, minimum energy-path finding, and pulling actuation.
Here, the authors perform a large GWAS for objectively quantified skin color in an East Asian population (N = 48,433), identifying potential causal genes, polygenic adaptations, and interaction between genetic variants and sun-exposure at polygenic level.
Self-incompatibility evolved to avoid self-fertilization among hermaphroditic plants, yet it remains murky how this compatibility recognition evolved. This study constructs a theoretical framework incorporating promiscuous molecular recognition into the evolutionary model of incompatibility.
Hydrogenating di-nitroaromatics with high activity and selectivity is challenging due to the process’s complexity. Here the authors present a fully exposed Pt clusters catalyst for 2,4-dinitrotoluene hydrogenation, suggesting that the synergy between multiple active sites and moderate adsorption behavior is crucial for the high catalytic activity.
Whether and how parvalbumin-expressing neural population from Basal forebrain (BFPVNs) nuclei play a role in associative learning are not fully understood. Here authors show that BFPVNs mediate aversive associative learning via playing crucial roles in encoding outcome-related information.
In flowering plants, hermaphroditism is widespread. Here the authors identified a transposon insertion that triggers plant sexual transition. This study highlights the role of transposons in plant adaptation and evolution.
In analysis of physically embedded complex networks, their nodes are usually considered as localized spheres connected by links, neglecting possible differences of nodes spatial shapes. The authors develop a representation of physical networks that captures arbitrary node shapes to characterize structural and dynamical network properties.
The authors profile single-base resolution maps at each modified mRNA m6A site in rice and Arabidopsis, and uncover a suppression-activation dual regulation model in shaping m6A distribution patterns in different species.
A study of perennial Arabidopsis in its natural habitat revealed a seasonal switch in leaf senescence control that optimizes resource production, storage, and translocation, making the evergreen strategy adaptively relevant in seasonal environments.
The covalent crosslinked structure of epoxy thermosets difficult their reprocessability and recyclability. Here, the authors report a method for developing closed loop recycling of strong and tough epoxy supramolecular thermosets constructed with hyperbranched topological structure in an energy-saving and easy-to-conduct way.
The overexpression of Esyt1 presynaptic organiser in V1 spinal interneurons restores connectivity, increases motor neuron survival, and ameliorates motor phenotypes in ALS mice. So, inhibitory interneurons are a target to attenuate ALS symptoms.
Here, the authors develop an approach to find cell-stratified causal associations by integrating summary-level GWAS and single-cell eQTL data. They apply the approach to BMI, prioritizing cell types as a link between BMI and diseases.
Coronary artery disease is the leading cause of death among adults worldwide, however current risk stratification methods lack the ability to incorporate new information throughout the life-course or to combine innate genetic risk factors with acquired lifetime risk. Here the authors introduce a multistate model to address these limitations.
The performance of macroscopic graphene fibers is hampered by lower bonding strength between individual graphene sheets. Authors mitigate this by creating covalent conjugating linkages at sheet edges, improving mechanical and electrical properties.
In this work, the researchers realize the current-induced motion of Néel type chiral domain walls via spin-transfer-torque in the pristine van der Waals ferromagnet Fe3GeTe2 and via spin-orbit-torques in heterostructures with platinum or tungsten.
Josephson junction arrays lead quantum circuitry research, vital for quantum computing, simulation, and metrology. Here the authors show that increasing the number of links in an atomtronic Josephson junction necklace enhances the atomic circuit’s resilience to higher circulations, corresponding to higher critical currents.
Authors discover that the spin excitations of multiferroics convert the terahertz photon to the unidirectional charge current through the quantum geometrical aspect of optical process, paving the way to the terahertz photonics.
Using first-principles calculations, the authors highlight h-BN’s role in reshaping transition metal monolayers into kagome lattices—a key structure in 2D physics—and in stabilizing topological solitons vital for advanced data storage solutions.