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All-carbon quaternary stereocenters are an important synthetic motif but are especially difficult to synthesize enantioselectively. Here, the authors demonstrate the organocatalytic regio- and enantioselective synthesis of valuable acyclic 1,4-dicarbonyl products with vinylated and arylated quaternary centers.
Photonic Stochastic Emergent Storage is a neuromorphic photonic device for image storage and classification based on scattering-intrinsic patterns. Here, the authors show emergent storage employs stochastic prototype scattering-induced light patterns to generate categories corresponding to emergent archetypes.
Powdery mildew threatens worldwide wheat production. Here, the authors report the cloning of two powdery mildew resistant Pm55 alleles and show that they exhibit distinct interactions with the inhibitor SuPm55 to cause different resistance.
Accurate nowcasting of cloud cover or fraction and its movement remains a significant challenge for stable solar photovoltaic electricity generation. Here, the authors combine continuous radiance images with high spatio-temporal resolutions to develop a nowcasting algorithm for predicting cloud cover at a leading time of 0–4 h.
Harvesting biomechanical energy from cardiac motion is an attractive power source for implantable bioelectronic devices. Here, the authors report a battery-free, transcatheter, self-powered intracardiac pacemaker for the treatment of arrhythmia in large animal models.
Product-selective switching of CO2 hydrogenation is a huge challenge. Here, the authors report an approach to manipulating Fe-Co sites with three-dimensional graphene fences that achieves integrated synthesis of different products.
Topologically associating domains (TADs) are critical structural units in 3D genome organization, and their reorganization between health and disease states is associated with essential genome functions. However, computational methods for identifying reorganized TADs are still in the early stages of development. Here, the authors present an algorithm leveraging random matrix theory to identify reorganized TADs.
Microneedle patches that can actively address individual needles are challenging to realize. Here, the authors introduce a spatiotemporal on-demand patch for precise and personalized drug delivery, utilizing electrically triggered control with drug-loaded microneedles and biocompatible metallic membranes.
Subcellular in situ spatial transcriptomics offers the promise to address biological problems that were previously inaccessible but requires accurate cell segmentation to uncover insights. Here, authors present BIDCell, a biologically informed, deep learning-based cell segmentation framework.
Designing efficient high-density crossbar arrays are nowadays highly demanded for many artificial intelligence applications. Here, the authors propose a two-terminal ferroelectric fin diode non-volatile memory in which a ferroelectric capacitor and a fin-like semiconductor channel are combined to share both top and bottom electrodes with high performance and easy fabrication process
The decision to switch patients from intravenous to oral antibiotic therapy is important for the individual and wider society. Here, authors show a machine learning model using routine clinical data can predict when a patient could switch.
The intrinsic photovoltaic effect (IPVE) in noncentrosymmetric materials has the potential to overcome the limitations of traditional photovoltaic devices. Here, the authors report the observation of a strong and gate-tunable IPVE in 1D grain boundaries of a van der Waals semiconductor, ReS2.
Doping strategies have been shown to stabilize the active platinum-nickel (PtNi) catalyst in fuel cells, however, the atomistic mechanism is less known. Here, the authors identify the roles of Mo and Au dopants in improving the durability of a PtNi nanowire catalyst for fuel cells.
Domestic attempts to advance the Sustainable Development Goals (SDGs) in a country can have synergistic and/or trade-off effects on the advancement of SDGs in other countries. Here the authors demonstrate that while high-income countries make up only 14% of the global population, they drive over 60% of worldwide SDG interactions.
Developing efficient methods for the formation and cleavage of amide species is a primary research goal, but the amide C–N bond cleavage is exceptionally challenging. Here, the authors report the development of an organocatalyst that can effectively catalyze the atroposelective ring-opening of biaryl lactams via amide C–N bond cleavage.
A personalized letter from the Medical Examiner-Coroner in Los Angeles County has proven effective at reducing opioid and benzodiazepine prescribing. Here the authors show that the introduction of if/when-then planning prompts in to the letter further reduced opioid prescribing by 12.85% and benzodiazepine prescribing by 8.32%; they were most effective for clinicians with multiple patient deaths due to accidental opioid-related overdose.
The molecular mechanisms underlying malignant transformation of the Schwann lineage in Schwann cell tumours remain to be explored. Here, the authors suggest that NF2 inactivation leads to PAK activation leading to NF1-mutant Schwann cell tumour de-differentiation and resistance to selumetinib.
In this work, the authors identified a hypervirulent carbapenem-resistant Escherichia coli ST410 clone which carries a high pathogenicity island and an O-antigen gene cluster. The findings highlight the ongoing evolution of ST410 towards increased resistance and virulence.
This study presents the cryo-EM structures of polymorphic TDP-43-derived amyloid fibrils that share a common fibril protein conformation constituting an amyloid key motif. The obtained results provide a possible mechanistic explanation for the formation of this motif in amyloid fibrils.
Schwannomas are regularly treated with radiotherapy, but the molecular effects on these tumours and their microenvironment remain unclear. Here, the authors show that radiotherapy can induce epigenetic reprogramming and immune infiltration in schwannomas, and develop the snARC-seq approach to analyse the epigenomic evolution at the single-cell level.