DNA strand displacement plays an important role in biological computations. The inherent advantages of parallelism, high storability, and cascading have resulted increased functional circuit realization on the nanoscale. Herein, we propose analog computation with minus based displacement. addition, subtraction, multiplication, division gates as elementary could realize minus. this proposal are negative value computation. In article, provide designs principles these demonstrate gate...

Deoxyribonucleic acid (DNA) strand displacement can be used to build complex functional circuits due its highly modular and programmable properties. While DNA is most often solve logic problems, it also compute the roots of equations. In this paper, we present design novel architectures for catalysis, degradation, annihilation in ideal formal reaction modules, translate these modules networks. These or are suitable building analog solving tasks. The computing assessed by a linear equation,...

The scaled spherical wave expansion (SSWE) method was effectively applied to reconstruct the target sound field from measurements conducted in non-anechoic environments. Unlike traditional (SWE), which requires careful selection of optimal cutoff order balance accuracy and computational efficiency, SSWE approach eliminates this challenge by introducing a scaling factor that adjusts coefficients. In addition, simplified formulation developed specifically for sources with rigid surfaces,...

Reversible bimolecular chemical reactions are elementary reactions. This paper investigated this reaction type based on DNA strand displacement, and proposed degradation, catalysis, annihilation along with the synchronization modules. modules were compared ideal modules, relative rates analyzed using Lotka-Volterra oscillator as an example to demonstrate validity of these An arbitrary network was employed numerically simulate predict between two oscillators.

Sound field separation techniques are an advancing tool for extracting a target sound from mixed field. However, the methods bear high measurement cost due to restriction of sampling theorem. In this study, method based on sparse is established. The initially utilizes dictionary learning generate basis Then, can be precisely recovered pressure and extracted by means theory equivalent source method. validated numerical simulations. Compared method, proposed has advantage in terms both...

Removing texture while preserving the main structure of an image is a challenging task. To address this, this paper propose smoothing method based on global gradient sparsity and local relative constraints optimization. reduce interference complex details, adopting multi-directional difference constrained decomposition method, which provides guidance with weaker detail gradients. Meanwhile, using luminance channel as reference, edge-aware operator constructed constraints. This weakens...

Sparse representation has been applied to realize an accurate description of the sound field from limited set measurements. The prerequisite this application is that can be sparsely represented in a specific basis. However, most sparse bases are constructed by using physical models field, and only effective for category sources. In paper, data-driven dictionary learning approach exploited obtain basis field. Meanwhile, reduce difficulty workload collection data sample, equivalent source...

Sparse regularization has been successfully applied to equivalent source method (ESM) in order improve the acoustic imaging resolution. However, application is not always feasible, especially at low frequencies. To overcome problem, this paper proposes a high-resolution method. In method, reweighted l 1 minimization introduced ESM deal with ill-posed inverse problems. Then obtained strengths are used locate sound sources. Compared sparse regularization-based ESM, proposed can provide side...

The special structural design of acoustic metamaterials further extends properties the materials. We a tunable passive phased array based on double-opening resonant rings, which modulates waves only by rotational angle, making up for defect fixed structure ordinary metamaterials. rotation angle is selected generalized Snell’s law, not enables focusing in large frequency band range but also meets demand incident at different angles and controls position focal point.

Weakly-supervised Temporal Action Localization (WTAL) aims to detect the action segments with only video-level labels in training. The key challenge is how distinguish of interest from background, which unlabelled even on video-level. While previous works treat background as "curses", we consider it "blessings". Specifically, first use causal analysis point out that common localization errors are due unobserved confounder resides ubiquitously visual recognition. Then, propose a Smoothing...