Browse Articles

Correction for Zhang et al., Facet-switching of rate-determining step on copper in CO ₂ -to-ethylene electroreduction

A dexterous and compliant aerial continuum manipulator for cluttered and constrained environments

Comparative analysis of FACT devices for optimal improvement of power quality in unbalanced distribution systems

Memristor-based feature learning for pattern classification

Abstract Inspired by biological processes, feature learning techniques, such as deep learning, have achieved great success in various fields. However, since biological organs may operate differently from semiconductor devices, deep models usually require dedicated hardware and are computation-complex. High energy consumption has made deep model growth unsustainable. We present an approach that directly implements feature learning using semiconductor physics to minimize disparity between model and hardware. Following this approach, a feature learning technique based on memristor drift-diffusion kinetics is proposed by leveraging the dynamic response of a single memristor to learn features. The model parameters and computational operations of the kinetics-based network are reduced by up to 2 and 4 orders of magnitude, respectively, compared with deep models. We experimentally implement the proposed network on 180 nm memristor chips for various dimensional pattern classification tasks. Compared with memristor-based deep learning hardware, the memristor kinetics-based hardware can further reduce energy and area consumption significantly. We propose that innovations in hardware physics could create an intriguing solution for intelligent models by balancing model complexity and performance.

Magnetic polymeric ionic liquid for both catalysis application and magnetic solid phase extraction approach

Bioinspired hydrophobic pseudo-hydrogel for programmable shape-morphing

Exposure of insects to current use pesticide residues in soil and vegetation along spatial and temporal distribution in agricultural sites

Abstract Current use pesticides (CUPs) are recognised as the largest deliberate input of bioactive substances into terrestrial ecosystems and one of the main factors responsible for the current decline in insects in agricultural areas. To quantify seasonal insect exposure in the landscape at a regional scale (Rhineland-Palatine in Germany), we analysed the presence of multiple (93) active ingredients in CUPs across three different agricultural cultivation types (with each three fields: arable, vegetable, viticulture) and neighbouring meadows. We collected monthly soil and vegetation samples over a year. A total of 71 CUP residues in different mixtures was detected, with up to 28 CUPs in soil and 25 in vegetation in single samples. The concentrations and numbers of CUPs in vegetation fluctuated over the sampling period, peaking in the summer months in the vegetation but remaining almost constant in topsoil. We calculated in-field additive risks for earthworms, collembola, and soil-living wild bees using the measured soil concentrations of CUPs. Our results call for the need to assess CUP mixture risks at low concentrations, as multiple residues are chronically present in agricultural areas. Since this risk is not addressed in regulation, we emphasise the urgent need to implement global pesticide reduction targets.

Hypoxia-tropic delivery of nanozymes targeting transferrin receptor 1 for nasopharyngeal carcinoma radiotherapy sensitization

The necroptosis-related lncRNA ENSG00000253385.1 promotes the progression of esophageal squamous cell carcinoma by targeting the miR-16-2-3p/VDAC1 axis

Barcoded screening identifies nanocarriers for protein delivery to kidney

Quantifying glucose uptake at the single cell level with confocal microscopy reveals significant variability within and across individuals

All-round enhancement induced by oxophilic single Ru and W atoms for alkaline hydrogen oxidation of tiny Pt nanoparticles

A novel carbon emission monitoring method for power generation enterprises based on hybrid transformer model

OGG1 and MUTYH repair activities promote telomeric 8-oxoguanine induced senescence in human fibroblasts

Abstract Telomeres are hypersensitive to the formation of the common oxidative lesion 8-oxoguanine (8oxoG), which impacts telomere stability and function. OGG1 and MUTYH glycosylases initiate base excision repair (BER) to remove 8oxoG or prevent mutation. Here, we show OGG1 loss or inhibition, or MUTYH loss, partially rescues telomeric 8oxoG-induced premature senescence and associated proinflammatory responses, while loss of both glycosylases causes a near complete rescue in human fibroblasts. Glycosylase deficiency also suppresses 8oxoG-induced telomere fragility and dysfunction, indicating that downstream single-stranded break (SSB) repair intermediates impair telomere replication. Preventing BER initiation suppresses PARylation and confers resistance to the synergistic effects of PARP inhibitors on 8oxoG-induced senescence. However, OGG1 activity is essential for preserving cell growth after chronic telomeric 8oxoG formation, whereas MUTYH promotes senescence to prevent chromosomal instability from unrepaired damage. Our studies reveal that inefficient completion of 8oxoG BER at telomeres triggers cellular senescence via SSB intermediates which disrupt telomere function.

Identifying impairments and compensatory strategies for temporal gait asymmetry in post-stroke persons

Abstract In post-stroke persons, temporal gait asymmetry (TGA) during comfortable gait involves a combination of pure impairments and compensatory strategies. In this study, we aimed to differentiate between pure impairments and compensatory strategies underlying TGA in post-stroke individuals and identify associated clinical factors. We examined 39 post-stroke individuals who participated in comfortable walking speed (CWS) and rhythmic auditory cueing (RAC). Gait evaluation included spatiotemporal parameters and trunk acceleration, while clinical evaluation comprised motor paralysis severity, sensory disturbances, spasticity, balance ability, and gait efficacy. The participants were classified by clustering based on the symmetry index during CWS and RAC. TGA during CWS or RAC gait showed no association (ρ = 0.062, p = 0.707). Clustering yielded four optimal clusters. Cluster 1 was asymmetric during CWS but symmetric during RAC condition (over-compensatory strategies); these participants had a poor score on the modified gait efficacy scale, and despite mild functional impairments, they lacked the confidence to walk safely. Cluster 2 showed impairment-driven asymmetry during CWS and RAC, with severe impairments and instability. Participants showing improved TGA under auditory cueing compared with comfortable speed demonstrate strong compensatory strategies associated with low gait efficacy. This suggests a need for targeted interventions to enhance gait self-efficacy and maximize residual function.

Ultrahigh piezoelectric performances of (K,Na)NbO3 based ceramics enabled by structural flexibility and grain orientation

Author Correction: Impact of plastic waste fiber and treated construction demolition waste on the durability and sustainability of concrete

Time to HIV viral rebound and frequency of post-treatment control after analytical interruption of antiretroviral therapy: an individual data-based meta-analysis of 24 prospective studies

The effect of blood glucose levels on serum triglyceride clearance in patients with hyperlipidemic acute pancreatitis

Molten Sn solvent expands liquid metal catalysis

Abstract Regulating favorable assemblies of metallic atoms in the liquid state provides promise for catalyzing various chemical reactions. Expanding the selection of metallic solvents, especially those with unique properties and low cost, enables access to distinctive fluidic atomic structures on the surface of liquid alloys and offers economic feasibility. Here, Sn solvent, as a low-cost commodity, supports unique atomic assemblies at the interface of molten SnIn0.1034Cu0.0094, which are highly selective for H2 synthesis from hydrocarbons. Atomistic simulations reveal that distinctive adsorption patterns with hexadecane can be established with Cu transiently reaching the interfacial layer, ensuring an energy-favorable route for H2 generation. Experiments with a natural oil as feedstock underscore this approach’s performance, producing 1.2 × 10− 4 mol/min of H2 with 5.0 g of catalyst at ~93.0% selectivity while offering reliable scalability and durability at 260 °C. This work presents an alternative avenue of tuning fluidic atomic structures, broadening the applications of liquid metals.