The synaptic activities in the nervous system is basis of memory and learning behaviors, concept biological synapse has also spurred development neuromorphic engineering. In recent years, hardware implementation been achieved based on CMOS circuits, resistive switching memory, field effect transistors with ionic dielectrics. However, artificial regulatable plasticity never realized device level. Here, an dynamic twisted bilayer graphene demonstrated tunable plasticity. Due to ambipolar...

Real-time image-processing applications impose severe design constraints in terms of area and power. Examples interest include retinal implants for vision restoration on-the-fly feature extraction. This work addresses the circuits using stochastic computing techniques. We show how can be integrated at pixel level with image sensors, thus supporting efficient real-time (pre)processing images. present several representative circuits, which demonstrate that designs significantly smaller,...

Arabinoxylan (AX), an abundant and highly valuable component in wheat bran, has its structure function influenced by the extraction method. A two-step method, involving sequential with a dilute alkali followed concentrated alkali-urea mixture, was employed to extract AX from bran. This approach aimed obtain high phenolic acid content while achieving relatively yield. The could effectively retain (≤89 μg/g). However, yield sugar were low. In contrast, achieve (≤55%) (≤75%). Different...

The dynamic mechanics in the multinucleon transfer reaction $^{136}\mathrm{Xe}+^{208}\mathrm{Pb}$ at an incident energy of ${E}_{\mathrm{c}.\mathrm{m}.}=450$ MeV is investigated by using improved quantum molecular dynamics model (ImQMD). lifetime neck directly influences nucleon exchange and dissipation between projectile target. total-kinetic-energy--mass distributions excitation division primary binary fragments mass different impact parameters are calculated. thermal equilibrium two...

Abstract The human visual attention mechanism enables them to rapidly perceive important information and objects in a complex external scene; this effectively solves the problems of data redundancy, low‐resolution images, substantial computing resources. process by which system reconstructs can be considered as integrating internal signals with details postsynaptic neuron. However, electronic devices that simulate modulation incorporating device characteristics into neuromorphic vision...

Within the framework of dinuclear system model, evaporation residue (ER) cross sections superheavy nuclei in $^{48}\mathrm{Ca}$-induced hot fusion reactions with different entrance orientations are investigated. The production obtained by calculating average ER for deformed colliding nuclei. results good agreement experimental data. orientation effects on investigated through studying dependence capture and probability. It is found that probabilities polar target higher than those equatorial...

The multinucleon transfer reaction of Xe136+198Pt at Elab=7.98MeV/nucleon is investigated by using the improved quantum molecular dynamics model. quasielastic, deep-inelastic, and quasifission collision mechanisms are studied via analyzing angular distributions fragments energy dissipation processes during collisions. measured isotope production cross sections projectile-like reasonably well reproduced calculation ImQMD model together with GEMINI code. for target-like double differential...

The neuromorphic vision system (NVS) equipped with optoelectronic synapses integrates perception, storage, and processing is expected to address the issues of traditional machine vision. However, owing their lack stereo vision, existing NVSs focus on 2D image processing, which makes it difficult solve problems such as spatial cognition errors low-precision interpretation. Consequently, inspired by human visual system, an NVS developed achieve 3D object recognition, depending prepared ReS2...

Event camera, as an emerging biologically-inspired vision sensor for capturing motion dynamics, presents new potential 3D human pose tracking, or video-based estimation. However, existing works in tracking either require the presence of additional gray-scale images to establish a solid starting pose, ignore temporal dependencies all together by collapsing segments event streams form static frames. Meanwhile, although effectiveness Artificial Neural Networks (ANNs, a.k.a. dense deep learning)...

Rotation symmetric Boolean functions (RSBFs) that are invariant under circular translation of indices have been used as components different cryptosystems. In this paper, even-variable-balanced RSBFs with maximum algebraic immunity (AI) investigated. At first, we give an original construction 2m-variable-balanced AI. Then improve the to obtain more AI, and these new higher non-linearity than all previously obtained RSBFs. Further, generalise our 2m-variable a can generate any even-variable

ABSTRACT The traditional distributed control system of trains faces challenges such as weak functional coordination, limited information sharing, significant response delays, and low speed accuracy, thereby impeding the efficient energy‐saving operation trains. This paper proposes a novel integrated architecture approach for trains, facilitating rapid interaction reuse through integration data computations from onboard signals, traction, braking, network subsystems. Initially, sophisticated...

The multinucleon transfer reactions in collisions of $^{136}\mathrm{Xe}+^{198}\mathrm{Pt}$ at incident energies ${E}_{\mathrm{lab}}=5.25$, 6.20, 7.98, 10.0, and 15.0 MeV/nucleon are investigated by using the improved quantum molecular dynamics model. It is found that 6.20 optimal energy for producing neutron-rich heavy nuclei. About 80 unknown nuclei might be produced this reaction with cross sections from ${10}^{\ensuremath{-}6}$ to ${10}^{\ensuremath{-}2}$ mb. angular distributions...

The isospin equilibration process in multinucleon transfer reactions is investigated by using the improved quantum molecular dynamics model. collisions of $^{124}\mathrm{Xe}+^{208}\mathrm{Pb}$ at near-barrier energy are studied with different symmetry coefficients. We find that neutron enhanced early stages under strong potential. neutron's takes place an earlier stage than proton's. trajectory flow along low-density path from target to projectile. average $N/Z$ values primary products...

Impossible differential cryptanalysis is a very popular tool for analysing the security of modern block ciphers and core such attack based on existence impossible differentials. Currently, most methods finding differentials are miss-in-the-middle technique they ad hoc. In this study, authors concentrate substitution–permutation network (SPN) whose diffusion layer defined by linear transformation P. Based theory algebra, propose several criteria P its inversion P-1 to characterise 3/4-round...

Activation of silent synapses is great significance for the extension neural plasticity related to learning and memory. Inspired by activation via receptor insertion in synapses, we propose an efficient method activating artificial through intercalation Sn layered α-MoO3. capable switching on response α-MoO3 stimuli visible near infrared light decreasing bandgap. This mimics process synapses. The Sn-intercalated MoO3 (Sn-MoO3) exhibits persistent photoconductivity due donor impurity induced...

This letter presents an efficient dipole coupled nanomagnetic logic scheme clocked by voltage-induced stress. The signals can be transmitted to array of eight elliptical nanomagnets in one cycle. Transmission speed is increased 1-2 times versus the conventional stress while required reduced. Micromagnetic simulations illustrate that both increasing tilt angleof electrode pair and decreasing nanomagnet thickness reduce When 8 12 nm angle 8° 10°, it a tradeoff considering stress, reliability,...