The shock wave characteristics within the near-field are one of most challenging aspects understanding an underwater explosion. latest numerical and experimental techniques were utilized to investigate pressure distribution decay features after a disturbance. governing equations in simulation discretized with fifth-order weighted essentially non-oscillatory scheme space third-order Runge–Kutta time, multi-medium interactions defined resolved via modified ghost fluid method. test system...

Abstract The well‐defined azobenzene‐containing homopolymers, poly{6‐(4‐phenylazophenoxy)hexyl methacrylate (AHMA)} (PAHMA), were synthesized via reversible addition fragmentation chain transfer polymerization (RAFT) in anisole solution using 2‐cyanoprop‐2‐yl 1‐dithionaphthalate (CPDN) as the RAFT agent and 2,2′‐azobisisobutyronitrile (AIBN) initiator. first‐order kinetic plot of linear dependence molecular weights homopolymers with relatively low polydispersity index values (PDIs ≤ 1.25) on...

Digital holography based on lensless imaging is a developing method adopted in microscopy and micro-scale measurement. To retrieve complex-amplitude the sample surface, multiple images are required for common reconstruction methods. A promising single-shot approach points to deep learning, which has been used but suffering from unsatisfied generalization ability stability. Here, we propose construct diffraction network (Diff-Net) connect at different distances, breaks through limitations of...

Abstract In phase-shifting interferometry with unknown phase shifts, a normalization and orthogonalization algorithm (NOPSA) is proposed to achieve retrieval. The background of interferogram eliminated through using the orthogonality complex sinusoidal function; influence shifts deviation on accuracy retrieval avoided both processing. Compared current algorithms reveals significantly faster computation speed, higher accuracy, better stability non-sensitivity deviation.

Compact computational in‐line holography based on deep learning is an attractive single‐shot approach to image microparticles dispersed in 3D volume. The particle shape contains valuable information for species classification, but the dataset acquisition process network training suffers from labor consuming and low efficiency due complex varied 2D shapes of different species. Herein, a moment‐based shape‐learning (MSLH) proposed where microparticle mathematically characterized using varying...

The optical complex-amplitude (CA) distribution of an object contains rich information, providing insights into the object's characteristics such as retardation and absorption. Coaxial lensless holography (CLH) using a learning-based approach offers promise for retrieving CA maps with advantages compact setup single-shot acquisition, while suffers from laborious time-consuming acquisition datasets labels required network training. To address this challenge, we propose untrained neural...

Functional near-infrared spectroscopy (fNIRS) was used to test whether monitoring inhibition-related brain regions is a feasible method for detecting both infrequent liars and frequent liars. 32 participants were divided into two groups: the deceptive group (liars) non-deceptive (innocents). All required undergo simulated interrogation by computer. The from instructed tell mix of lies truths those always truth. Based on number deceptions, further infrequently (infrequent liars) frequently...

Functional near-infrared spectroscopy (fNIRS) was adopted to investigate the cortical neural correlates of visual fatigue during binocular depth perception for different disparities (from 0.1° 1.5°). By using a slow event-related paradigm, oxyhaemoglobin (HbO) responses fused stimuli presented by random-dot stereogram (RDS) were recorded over whole dorsal area. To extract from an HbO curve characteristics that are correlated with subjective experiences stereopsis and fatigue, we proposed...

A novel structure of tunneling field effect transistor device (CSP-SD-TFET) is proposed, which adds a sandwiched drain to the C-shaped pocket TFET (CSP-TFET). This can increase resistance drain, share lateral electric at junction between channel and reduce junction, suppress generation ambipolar current. The DC analog/RF characteristics CSP-SD-TFET are simulated analyzed by Sentaurus TCAD, parameters optimized. results show that suppresses current on-state current, so need be compromise low...

For floating offshore wind turbines, a significant pitch and roll motion response of the platform can affect acceleration power generation nacelle. The damping plate is considered type attachment that be used to reduce rotational motion, but research on its anti-rotational effect limited. objective this work analyze impact installing plates varying their sizes semi-submersible platforms, while also proposing optimization strategies for design. Firstly, comparison between numerical...

Learning-based computational in-line holography is a compact and appealing method for imaging microparticle shape recognizing species, but it suffers from the inefficient dataset acquisition. In article number 2300120 by Jie Xu, Jindong Tian co-workers, moment-based shape-learning (MSLH) proposed, where of mathematically characterized Zernike moments. The decomposition recombination moments highly improves efficiency generating characteristic shapes, advancing MSLH to be an easy-to-setup,...

Digital holography with lensless in-line setup has been extensively used in particle field measurements. As concentration increases, the holograms of dynamic particles locating at different depths tend to superpose each other incoherent overlap, hampering effective measurement individual incomplete information. Drawing inspiration from suborbicular nature holographic fringes, this study, we propose an optical flow method polar coordinates mitigate overlap issue. The approach employs a radial...

Accurate measurement of particles a wide size range is generally difficult in interferometric particle imaging (IPI). We propose an extended IPI technique with double or multiple systems different scattering angles and polarizations to achieve wider measurable range. The effects size, angle, polarization, the comprehensive parameters system on fringe patterns are thoroughly discussed. In case measuring water droplets, enlarges 10 μm-1 mm, high-quality favoring accuracy measurement. relative...

The development of the city transportation system provides us lots conveniences, but it also can brings traffic congestion causing environmental pollution and increasing travel cost. current research mainly focuses on volume prediction, route recommendation. However, is very meaningful instructive to select a suitable less time-consuming alternative specified congested road. In general, skilled taxi drivers who are relatively familiar with condition would like choose time routes avoid peak...

The broadband circular polarizer based on the surface plasmon of a metal nanostructure has important practical application due to its adjustability, low cost, and easy integration. In this article, twisted multilayer double semi-disc structure is designed allow for polarizer, whose transmission spectra are simulated using finite element method under left-handed circularly polarized right-handed extinction. results show large extinction ratio up 900 properly geometry broad bandwidth (defined...

Organic radicals (nitronyl nitroxide) modified AuNPs based on Au–S self-assembly exhibit strong ferromagnetic coupling (spin interactions).

Multiplexed intensity diffraction tomography (mIDT) is a technique that reconstructs the three-dimensional refractive index (3DRI) of sample solely through measurements. Using an array light sources to generate multi-directional and multiplexed illumination eliminates need for mechanical scanning, allowing quantitative 3DRI reconstruction label-free samples. However, acquiring multiple images under different conditions limits its use in dynamic scenes. Here, we propose method based on...