A high lithium conductive MoS2 /Celgard composite separator is reported as efficient polysulfides barrier in Li-S batteries. Significantly, thanks to the density of ions on surface, this shows conductivity, fast diffusion, and facile transference. When used batteries, proven be highly for depressing shuttle, leading long cycle stability. With 65% sulfur loading, device with delivers an initial capacity 808 mAh g-1 a substantial 401 after 600 cycles, corresponding only 0.083% decay per that...

Infrared and visible images are fused to obtain a high-quality image with salient infrared targets that can be used in other vision tasks. The fusion strategy is key achieving efficient fusion. strategies currently deep-learning-based methods based on manual computation unlearnable, limiting further improvements In this article, FusionGRAM, novel end-to-end framework, proposed. It adaptively fuses detailed information thermal information. framework fully convolutional, the parameters of each...

In this work, two machine learning (ML) models for recognizing electrohydrodynamic (EHD) spraying patterns are developed to guide the process operation achieve stable cone-jet mode directly. To end, EHD first divided into three categories, namely, dripping, cone-jet, and unstable cone-jet. A database consisting of 86 140 data used build recognition models. The artificial neural network (ANN) support vector (SVM) trained through collected give excellent performance in prediction patterns....

Multimodal image fusion aims to retain valid information from different modalities, remove redundant highlight critical targets, and maintain rich texture details in the fused image. However, current networks only use simple convolutional layers extract features, ignoring global dependencies channel contexts. This paper proposes GRPAFusion, a multimodal framework based on gradient residual pyramid attention. The uses multiscale blocks structural features multigranularity detail source depth...

Detecting small objects in infrared images remains a challenge because most of them lack shape and texture. In this study, we proposed an small-object detection method to improve the capacity for detecting thermal complex scenarios. First, sparse-skip connection block is enhance response suppress background response. This used construct model backbone. Second, region attention module designed emphasize features regions. Finally, batch-averaged biased classification loss function accuracy...

An efficient approach was developed for the synthesis of well-known BlueCage by pre-bridging two 2,4,6-tris(4-pyridyl)-1,3,5-triazine (TPT) panels with one linker followed cage formation in a much improved yield and shortened reaction time. Such stepwise methodology further applied to synthesize three new pyridinium organic cages, C2, C3, C4, where low-symmetry cages C3 C4 angled demonstrated better recognition properties toward 1,1′-bi-2-naphthol (BINOL) than high-symmetry analogue C2...

For pupil-offset off-axis reflective astronomical telescopes with designed tilts and decenters, owing to the absence of symmetry, axial lateral misalignments exhibit strong coupling. The astigmatic coma aberration fields misaligned optical systems are not only effected by but also closely related misalignments. However, traditional misalignment algorithm based on nodal theory (NAT) usually ignore effect when constructing calculation models. As a result, presence in decenters will invalidate...

Due to complications of the off-axis three-mirror anastigmat (TMA) telescope, each optical element in TMA telescope is introduced with theoretical eccentricity and tilt. Moreover, introduction freeform surfaces other elements complex surface features generally causes initial alignment accuracy path be low. A large error amplifies sensitivity misalignment calculation measurement Zernike coefficient, resulting difficulty obtaining convergence results for a computer-aided algorithm. Considering...

Abstract In contrast to edge‐on and face‐on orientations, end‐on uniaxial conjugated polymers have the theoretical possibility of providing a macroscopic crystalline film. However, their fabrication is insurmountable due sluggishly thermodynamic equilibrium states. Herein, we report programmatic pathway fabricate nanoarchitectonics on metallopolymers by surface‐initiated simultaneous electrosynthesis assembly. Self‐assembled monolayer (SAM) with bottom‐up oriented electroactive molecules as...

Performance failure has become a major threat for various memory and analog circuits. It is challenging to estimate the extremely small probability when failed samples are distributed in multiple disjoint regions. In this article, we propose an adaptive importance sampling (AIS) algorithm. AIS several iterations of region adjustments, while existing methods predecide static distribution. We design two frameworks based on resampling population Metropolis-Hastings (MH) iteratively search The...

An enzyme inhibition-based lab-in-a-syringe (EI-LIS) device was developed by integrating a 1-naphthol-linked bi-enzymatic reaction (sensor core) into the LIS device) for point-of-need monitoring of pesticide residues.

Value factorisation is a useful technique for multi-agent reinforcement learning (MARL) in global reward game, however its underlying mechanism not yet fully understood. This paper studies theoretical framework value with interpretability via Shapley theory. We generalise to Markov convex game called (MSV) and apply it as method which obtained by the equivalence between two games. Based on properties of MSV, we derive Shapley-Bellman optimality equation (SBOE) evaluate optimal corresponds an...

Vulnerability detection is imperative to protect software systems from cyber attacks. However, existing methods either rely on experts directly define vulnerability patterns or features and then use machine learning generate automatically. It not only a laborious task but will miss many vulnerabilities incur high false-positive rate. Besides, large number of resources are required audit the precise location vulnerability. To solve problems, we propose AVDHRAM, systematic Automated Detection...

The S&P 500 index is an important representative of worlds' financial market and influenced by various economic factors. There a call for automatically select antecedents index's change in the fast-changing world economy. This paper proposes enhanced GSA model named LGSA to solve feature selection parameter optimization SVM models movement prediction. results show that accuracy LGSA-SVM surpasses benchmark SVM, PSO-SVM GA-SVM model. And proposed approach could hopefully be adopted other data...

Three-dimensional (3D) buffer analysis is among the basic functions of 3D spatial analysis, and it plays an important role in geographic information systems. The rapid development Discrete Global Grid System (DGGS) provides a new method for information. According to topology characteristics DGGS concept dimensionality reduction, based on grid Earth system proposed solve problem algorithm space object being unsatisfactory at present. In this paper, we present calculate distance between cells...

Velocity measurement has a high application value in hydrological monitoring and flood disaster warning. The long-distance laser Doppler water flow velocimetry technology the advantage of strong anti-interference ability spatial resolution, it can realize high-precision velocity. Because low reflectance characteristics, how to extract frequency from weak non-stationary coherent signals is crucial problem be solved velocity measurement. However, classical method requires time domain signal...

In the process of global information construction, different fields have built their own discrete grid systems (DGGS). With development big data technology, exchange, integration, and update gradually become a trend, as well associative integration DGGS. Due to heterogeneity DGGS encoding rules, how build conversion rules mapping relationship between same object in various is an effective support key technology achieve interoperability As kind multipurpose DGGS, quaternary triangular mesh...

Tuning optical limiting was achieved based on the nanostructural and synergistic effects of heterosized gold nanoparticles fullerene electrochemical assembly. In particular, with thicknesses 200, 1, 10 nm, AuNP multilayers periodical pairs layers present a superior threshold 0.59 J cm-2 to monosized films values 0.89-2.55 cm-2, which further significantly enhanced by introduction C70 significant drop from 0.43 0.13 indicating that reverse saturable absorption had key contribution compared...