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Plastomic insights into the genetic variation and phylogenetic relationships of Macadamia
Large-scale crossbar arrays based on three-terminal MoS2 memtransistors
Abstract Memristive crossbar architectures are promising as efficient, low-power inference engines for edge AI applications. However, inputs with minor differences often yield similar outputs, requiring additional processing methods such as confidence scoring, feedback mechanisms, crossbar redundancy, or hybrid analog-digital approaches to resolve. These methods can be impractical for resource-limited edge devices. In contrast, three-terminal memtransistors can dynamically tune conductance via gate control, effectively resolving similar outputs and enhancing separability without retraining. Here, we present dense, large-scale crossbar array architectures incorporating up to 2048 MoS 2 memtransistors per array, achieving >92% yield across multiple arrays while individual memtransistors exhibit write energies as low as ~0.2 fJ, maintain read margins up to 10⁵, and offer a projected retention exceeding three years. These architectures demonstrate the ability to resolve inference ambiguities through gate modulation without the need for costly retraining or reprogramming. We also validate their performance by successfully classifying handwritten digits from the MNIST database. Finally, we benchmark the performance of MoS 2 memtransistors against other 2D material-based architectures and project their potential compared to state-of-the-art AI accelerators. We believe that this work furthers the ongoing development of in-memory processors for decentralized edge applications and that future studies aimed at reducing device-to-device variation and improving long-term non-volatile memory would only enhance inference capabilities.
Integrated machine learning survival framework for consensus modeling in a large multicenter cohort of NSCLC resistant to aumolertinib
Multilayer regulation underlies the functional precision and evolutionary potential of the olfactory system
Abstract Sensory neurons must be reproducibly specified to permit accurate neural representation of external signals but also able to change during evolution. We studied this paradox in the Drosophila olfactory system by establishing a single-cell transcriptomic atlas of all developing antennal sensory lineages, including latent neural populations that normally undergo programmed cell death (PCD). This atlas reveals that transcriptional control is robust, but imperfect, in defining selective sensory receptor expression. A second layer of precision is afforded by the intersection of expression of functionally-interacting receptor subunits. A third layer is defined by stereotyped PCD patterning, which masks promiscuous receptor expression in neurons fated to die and removes “empty” neurons lacking receptors. Like receptor choice, PCD is under lineage-specific transcriptional control; promiscuity in this regulation leads to previously-unappreciated heterogeneity in neuronal numbers. Thus, functional precision in the mature olfactory system belies developmental imprecision that might facilitate the evolution of sensory pathways.
Comparative study of unbalanced mining disaster risk level prediction based on artificial intelligence algorithms
Spatiotemporal changes in heat stress exposure in India, 1981-2023
Abstract India is amongst the most susceptible regions in the world to extreme heat stress because of climate change. In this study, we present a comprehensive analysis of the spatiotemporal evolution of heat stress exposure (HSE) across India’s districts, which serve as the primary administrative units below the State level. Our analysis covers a long temporal duration (1981-2023) and uses data with high spatial (0.1°) and temporal granularity (hourly). By focusing on the district, we ensure that our findings are relevant for policymakers. We find a 3.3% increase in the average HSE duration across districts when comparing 1981-1995 and 2011-2023. We provide evidence for variation in the evolution of HSE by time of day, time of year, and across regions in India. We also provide estimates of changes in outdoor occupational exposure from 2019-2023. Our research highlights the importance of considering HSE in addition to average temperature changes and has important implications for public health practitioners and policymakers.
Enriched lung cancer classification approach using an optimized hybrid deep learning approach
Stress-hardening behaviour of biofilm streamers
Novel and less invasive biomarker assays to measure liver ATP7B in Wilson disease patients
Structure and activation of the Drosophila insulin receptor by three Drosophila insulin-like peptides
Crown fractures in the permanent dentition among children and adolescents during the COVID-19 pandemic
Noncanonical target-strand cytosine base editing via engineered Un1Cas12f1 platform
Circulating vascular biomarkers in relation to physiological indices of aortic stiffness and endothelial function in hypertension
Abstract Studies investigating the relation between circulating vascular biomarkers reflecting endothelial dysfunction and physiological methods to evaluate vascular function remain limited. We simultaneously evaluated the relation between circulating endothelial biomarkers with physiological non-invasive vascular methods in 107 hypertensive patients with a wide range of mean estimated glomerular filtration rate (eGFR). Endothelial glycocalyx hyaluronan (HA) and syndecan-1 (SDC-1), and cellular adhesion molecules (ICAM-1, VCAM-1, and E-selectin) were measured by enzyme-linked immunosorbent assays. Aortic stiffness (cfPWV) was assessed by pulse wave analysis. Endothelial function in different vascular beds was evaluated physiological by methods: flow mediated vasodilation (large arteries), pulse wave analysis and the reflection index change, using beta 2-adrenoceptor agonist stimulation (smaller resistance arteries), and laser Doppler fluxmetry and iontophoresis (skin microvascular function). Diastolic function and left atrial size were assessed by echocardiography. Mean blood pressure (BP) was 149 ± 17/87 ± 10 mm Hg, mean eGFR 74 (21–130) ml/min x 1.73 m 2 . HA was independently related to cfPWV (β = 0.23, P = 0.02), whereas SDC-1 was independently inversely related to skin microvascular function, (β= − 0.27, P = 0.042) and was independently related to resistance artery endothelial function (β = 0.29, P = 0.026). All circulating biomarkers were unrelated to physiologically measured large artery endothelial function, and with echocardiographic parameters. The glycocalyx markers were associated with physiological vascular measures independent of eGFR but should not be considered as a proxy for these measures, due to the weak relations. However, combining circulating markers with physiological measures might give additional information about vascular function.
Citizens’ smartphones unravel earthquake shaking in urban areas
Development of electrochemical sensor for vanillin determination using carbon spheres–LaFe0.9Ni0.1O3 nanohybrid
Experimental realization of temporal refraction and reflection in elastic beams
Abstract Wave reflection and refraction at a time interface follow different conservation laws compared to conventional scattering at a spatial interface. This study presents the experimental demonstration of refraction and reflection of flexural waves across a temporal boundary in a continuum-based mechanical metabeam, and unveils opportunities that emerge by tailoring temporal scattering phenomena for phononic applications. We observe these phenomena in an elastic beam attached to an array of piezoelectric patches that can vary in time the effective elastic properties of the beam. Frequency conversion and phase conjugation are observed upon a single temporal interface. These results are consistent with the temporal Snell’s law and Fresnel equations for temporal interfaces. Further, we illustrate the manipulation of amplitude and frequency spectra of flexural wave temporal refraction and reflection through multi-stepped temporal interfaces. Finally, by implementing a smooth time variation of wave impedance, we numerically and experimentally demonstrate the capabilities of the temporal metabeam to realize waveform morphing and information coding. Our findings enable precise control over wave amplitude and frequency through temporally modulated mechanical systems, providing a concrete framework for designing time-mechanical metamaterials and time-phononic crystals.