The poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) is expected to prepare electrolytes with wide electrochemical window owing its excellent antioxidant capability. However, the inert lithium ion conduction of C–C skeleton severely limits application. In this work, high-voltage-resistant sulfolane (SL) used as a plasticizer into PVDF-HFP gel electrolytes. Moreover, alleviate incompatibility SL metal by strong dipole–dipole interaction between poly(ethylene oxide) (PEO) and SL,...

Particle image velocimetry (PIV) plays a significant role in experimental fluid mechanics, which aims to extract the velocity fields from successive particle pairs. Deep learning (DL) techniques have been proposed solve such motion estimation problem. However, existing DL methods put emphasis on accuracy while ignoring problem of model redundancy and low computational efficiency. In this article, we propose novel lightweight convolutional neural network called LightPIVNet for PIV estimation,...

A wide range of research problems in physics and engineering involve the acquisition high-resolution data. Recently, deep learning has proved to be a prospective technique for super-resolution (SR) reconstruction fluid flows. General methods develop temporal multi-branch networks improve SR accuracy while ignoring computational efficiency. Further, generalization ability model different flow scenarios is still an unstudied issue. In this article, we propose efficient multi-scale integration...

This study analyzes the kinematic characteristics and flow field information of zebrafish in straight steering acceleration states using time-resolved particle image velocimetry to explore how vortices are generated controlled achieve desired motion. The important role high- low-pressure zones wake wavy propulsion is also presented by quantifying pressure around zebrafish. With their precise body motion control, fish have a movement advantage that cannot be achieved artificial machinery....

Motion fields estimated from image data have been widely used in physics and engineering. Time-resolved particle velocimetry (TR-PIV) is considered as an advanced flow visualization technique that measures multi-frame velocity successive images. Contrary to conventional PIV, TR-PIV essentially estimates a field video provides both temporal spatial information. However, performing with high computational efficiency accuracy still challenge for current algorithms. To solve these problems, we...

The contradiction between the rapid development of breeding scale and relatively backward technology is a bottleneck that has restricted Japanese sea cucumber (Apostichopus japonicus) industry. Finding new way to produce seedlings instead traditional model will be highly significant. Previously, we found ecological seedling produced A. japonicus individuals with red body color. Most artificially bred are green, color not yet been reported for japonicus. Therefore, it particularly important...

The development and application of polyethylene oxide (PEO) based solid polymer electrolyte (SPE) is severely constrained by its low ionic conductivity poor tensile resistance. To improve the electrochemical performance SPE without losing mechanical properties, a benzene sulfonate-based additive adopted into crosslinking system composed -CH 2 -O- segments to obtain membrane with high 1.47 × 10 −4 S cm −1 an transference number 0.70 at room temperature. activation energy value 0.128 eV gives...

Abstract The benefit of adoptive cell transfer (ACT) therapies with T cells engineered to express chimeric antigen receptors (CAR) or (TCR) is limited by dysfunction upon repetitive exposure. We integrated a pooled genome-wide CRISPR knockout screen in vitro exposure and phenotypic selection identify gene knockouts that improved the ability NY-ESO-1 TCR transgenic repeatedly kill antigen- HLA-matched melanoma line M407. In two replicate screens, knocking out genes CUL5, RNF7 ARIH2, which are...

The K‐shaped metal sealing ring of the subsea tubing hanger is a crucial component ensuring wellhead sealing. Optimizing its structure can enhance performance and improve reliability equipment. Considering numerous structural parameters significant differences in their impact on performance, multifactor analysis method was applied to conduct sensitivity performance. results indicated that outer contact width, inner lip radius groove mouth are three primary design variables affecting ring....

In the two-phase flow particle image velocimetry (PIV) experiment of an object entering water, mask noncomputed area and calculation velocity field in images are two key stages. Due to complexity edge image, calibration is usually performed manually then PIV estimation carried out. We propose a cascaded convolutional neural network (CNN) this article implement end-to-end fluid motion estimation. first stage, segmentation U-Net used noncomputational extract liquid phase. second we adopt...

Time-resolved particle image velocimetry (TR-PIV) is an advanced fluid mechanics experiment technology, which can simultaneously measure the velocity field from multi-frame images to analyze evolution of over time. Deep learning technology has made great progress in (PIV). However, as far we know, no deep method been adopted calculate TR-PIV (i.e., TR-PIV). In this article, propose a novel cascaded convolutional neural network (CNN) called CascLiteFlowNet-R-en for estimation task....

Estimating complex fluid motions from successive images, i.e., Particle Image Velocimetry (PIV), is of great research significance in physics and engineering applications. Although deep learning-based methods have made progress for motion estimation, it still remains a challenge terms robustness generalization ability. To address this issue, we present novel flow estimator called RFMFlowNet paper, to robustly estimate using attentional Transformer. Concretely, the feature encoder based on...

Estimation of finite mixture models is a fundamental and challenging problem.We propose penalized method for Gaussian linear regression, where the error terms follow location-scale distributions.The objective function combination likelihood observed data penalty on pairwise differences parameters.An alternating direction multipliers algorithm developed, its convergence property established.By clustering merging similar observations in an automatic manner, our provides integrated tool...

Abstract Machine vision has been extensively researched in the field of unmanned aerial vehicles (UAV) recently. However, ability Sense and Avoid (SAA) largely limited by environmental visibility, which brings hazards to flight safety low illumination or nighttime conditions. In order solve this critical problem, an approach image enhancement is proposed paper improve qualities Considering complementarity visible infrared images, a fusion method based on convolutional sparse representation...

Abstract Essential genes are necessary to sustain the life of a species under adequate nutritional conditions. These have attracted significant attention for their potential as drug targets, especially in developing broad‐spectrum antibacterial drugs. However, studying essential remains challenging due variability specific environmental In this study, authors aim develop powerful prediction model identifying humans. The first obtained gene data from human cancer cell lines and characterised...