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Genetic characterization and whole-genome sequencing-based genetic analysis of influenza B in Shandong Province during 2015–2024
Elastic modeling and total energy calculations of the structural characteristics of “free-standing,” periodic, pseudomorphic GaN/AlN superlattices
The strain states of the components of pseudomorphic superlattices can be accurately modeled analytically through the application of linear elasticity. In this particular case of GaN/AlN “free-standing” superlattices, the predictions derived from elastic modeling have been compared with total energy calculations of several systems made of components with varying thicknesses. We demonstrate that the elastic predictions for the lattice constants of the components align with the values obtained from their total energy counterparts, within the limits of computational errors and uncertainties. Furthermore, a phenomenological analysis of the elastic energy stored in the superlattices facilitates the evaluation of the excess energies associated with the interfaces present in these systems. The results mentioned above are briefly contrasted with findings reported in previous literature.
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Hyper-angulated (Glidescope) versus intermediate-angled (UED-A) videolaryngoscopy for routine tracheal intubation in adults: a prospective randomized controlled trial
Memories of items and their contexts are encoded by separate groups of human brain cells
Circularly Polarized Luminescence in Chiral Potassium Europium Nitrate
Integrated proteomics and metabolomics reveal phytosesquiterpene lactones inhibit TNBC cell activity by depleting ATP synthesis and reprogramming primary metabolism
Charge Separation Dynamics of Aromatic Molecules at Aqueous Interfaces Revealed by Ultrafast Photoelectron Spectroscopy
Balance and imbalance in dark and bright (OFF and ON) visual channels
Abstract The visual system uses separate neuron channels to distinguish figures that are darker or brighter than their background. We displayed letters as dark and/or bright pulses, with pulse energy scaled as a function of background energy, and assessed the probability of letter recognition as a function of pulse energy and polarity. Similarity of effect for dark and bright pulses was tested with single pulses and with flicker displays. The role of frequency and polarity within flicker cycles was evaluated with reference to provisions of the Talbot-Plateau law. Some energy ranges of dark and bright energy produced comparable changes in the probability of letter recognition, while others did not. The results also provide insight into what stimulus conditions will produce a previously reported “anomalous contrast” effect.
Dynamic Kinetic Control Enables Nickel-Catalyzed Enantioconvergent C(sp <sup>3</sup> )–O Coupling
Memristance and transmemristance in multiterminal memristive systems
Abstract Memristive devices represent promising building blocks for the development of next-generation memory technologies, computing architectures, and neuromorphic systems. In addition to conventional two-terminal memristive circuits and crossbar array structures, multiterminal memristive systems, where emergent behaviours arise from the mutual interaction of numerous memristive elements, have been explored for neuromorphic data processing and computing applications. In this work, we extend the concept of two-terminal memristive devices to generic multiterminal memristive systems. Beyond its ability to describe the specific case of crossbar arrays, the proposed theoretical framework is also applicable to more complex systems such as self-organizing memristive networks, whose internal state dynamics depend not only on time-varying input signals but also on the spatial distribution of the stimulated terminals. After discussing the notion of memristance in multiterminal devices as the evolution of the system “seen” from the stimulating terminals, we demonstrate that the two-terminal memristive framework can be generalized to the concept of transmemristance when additional, non-stimulating electrodes are used to monitor the system’s evolution. Providing a connection between circuit theory and network science, these concepts are investigated both analytically and experimentally using a theoretical memristive graph model and an experimental memristive system based on self-organizing nanowire networks.