Novel magnetic and conductive Ni/carbon aerogels have been successfully fabricated through an autocatalytic reduction process. The resultant nanoporous structure with high specific surface area, low densities, appropriate electrical conductivities controllable magnetization. Due to these special attributes, the aerogel composites are demonstrated be a great microwave absorbent possessing strong EM absorption ultrathin thickness. Only filler loading of 10 wt % in wax, minimum RL −57 dB is...

Anticancer peptides (ACPs) constitute a family of biologically active with significant anti-tumor activity. These are composed 5 to 50 amino acid residues and generally cationic in nature. Through electrostatic interactions, ACPs able target bind negatively charged cell membranes on the surface cancer cells, thereby destroying their structure inducing apoptosis. Given that process recognizing laboratory is highly restricted, which not only costly but also time-consuming lengthy, this study...

How to control the stability of oil-in-water (O/W) emulsions is one main topics for scientists working in colloidal systems. Recently, carbon dots (CDs) have received great interest as smart materials because their excellent physicochemical properties and versatile applications. Herein, first time, advanced switchable O/W are presented that stabilized by synergistic effect cationic surfactant cetyltrimethylammonium bromide CTAB (emulsifier) similarly charged CDs (stabilizer). In formulated...

In this study, a monolithic honeycomb catalyst is being used in SCR reactor rather than pellet many conventional gas−solid catalytic processes because the advantages of matrix are very low pressure drop, high geometric specific surface area, and resistance to deposition carbon dust. The three-dimensional computational fluid dynamics (CFD) simulation for NO removal was performed. mathematical model reactor, which Rideal-type DeNOx rate equation incorporated, established. calculated results...

Hydrophobic/oleophilic filters have great potential for application in oil/water separation. Herein, we describe the successful preparation of environment friendly superhydrophobic cellulosic fiber filter to remove water from diesel. The modified TiO2 particles were used fabricate rough structure paper via a dip-coating method with epoxy resin as binder. With further dipping modification by hexadecyltrimethoxysilane (HDTMS), obtained excellent water-resistance contact angle (WCA) ranging...

Thin sand-mud-coal interbedded layers and multiples caused by shallow water pose great challenges to conventional 3D multichannel seismic techniques used detect the deeply buried reservoirs in Qiuyue field. In 2017, a dense ocean-bottom-seismometer (OBS) acquisition program acquired 4C data set East China Sea. To delineate deep reservoir structures field, we have applied full-waveform inversion (FWI) workflow this OBS set. After preprocessing, including receiver geometry correction, moveout...

Under the background of rural vitalization strategy, it is mission times as well realistic demand to realize and dissemination intangible cultural heritage, transform empowerment advantage into economic development momentum. Based on AIGC technology, this paper discusses era context heritage in Guizhou Province, analyzes digital path from four aspects reconstructing preservation mode, innovating inheritance dimension, developing products expanding channels.

In this work, we tackle the challenging problem of denoising hand-object interactions (HOI). Given an erroneous interaction sequence, objective is to refine incorrect hand trajectory remove artifacts for a perceptually realistic sequence. This challenge involves intricate noise, including unnatural poses and relations, alongside necessity robust generalization new diverse noise patterns. We those challenges through novel approach, GeneOH Diffusion, incorporating two key designs: innovative...

Density peaks clustering (DPC) is a well-known density-based algorithm that can deal with nonspherical clusters well. However, DPC has high computational complexity and space in calculating local density <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>ρ</a:mi> </a:math> distance <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" id="M2"> <c:mi>δ</c:mi> </c:math> , which makes it suitable only for small-scale data sets. In addition, high-dimensional data, the performance...

We study the problem of few-shot physically-aware articulated mesh generation. By observing an object dataset containing only a few examples, we wish to learn model that can generate diverse meshes with high visual fidelity and physical validity. Previous generative models either have difficulties in depicting data space from examples or fail ensure validity their samples. Regarding above challenges, propose two key innovations, including 1) hierarchical deformation-based based upon...

Aspect-based sentiment classification is a crucial problem in fine-grained analysis, which aims to predict the polarity of given aspect according its context. Previous works have made remarkable progress leveraging attention mechanism extract opinion words for different aspects. However, persistent challenge effective management semantic mismatches, stem from mechanisms that fall short adequately aligning opinions with their corresponding multi-aspect sentences. To address this issue, we...

Abstract Professional cluster construction is the change of professional development mode in context current social development, and it innovation internal intensive management private colleges universities. This paper analyzes advantages disadvantages maximum expectation algorithm big data mining, proposes to optimize parameter estimation iteration by using Monte Carlo method for problem that stable point EM does not necessarily reach global optimum, uses sample mean instead overall mean,...

Advancements in ocean-bottom-node (OBN) technologies have enabled the recording of high-quality multicomponent seismic data, which can provide crucial information about subsurface properties through elastic imaging. However, imaging data is challenging due to requirement for P- and S-wave velocity models. Conventional processing relies on estimating model using a primary converted wave (C wave) because pure primaries are not available if standard air-gun sources. When free surface present, C...