Effectively Settling SMEs financing Difficulty with Warehouse Receipt-a Case from China

SMEs financing is a difficult problem in the world, and it is more difficult in China. The highlight of our paper is that it offers a route which could settle the difficult problem but loan on credit. There are three platforms which can effectively settle SMEs financing difficulty with warehouse receipt. Platform 1 is a warehouse receipt management platform which manages SMEs movable property. Platform 2 is a P2P platform, or warehouse receipt financing platform. Platform 3 is a transaction platform of warehouse receipt. Future works have been put in the end

Exploration of New Tax System in China: Research on Macro Tax Burden Restrained by Sustainable Development Promoting Economic Transformation and Upgrading Based on “Three Gap” Model

Recent years have witnessed increasingly heavy pressure for China’s economy to promote the transformation and upgrading of economy. The structure of paper is as follows. First is an introduction. Second is a roundup of literature. Third is the idea of exploration of new tax system in China. Academic value, application value, object of study and innovative points are put forward to in third. The paper has shed new light on that the country’s overall tax and other tax credits are determined according to the macro tax burden of the internal and external balance based on three-gap mode

Study on surface asperity flattening in cold quasi-static uniaxial planar compression by crystal plasticity finite element method

In order to study the surface asperity flattening in a quasi-static cold uniaxial planar compression, the experimental results of atomic force microscope and electron backscattered diffraction have been employed in a ratedependent crystal plasticity model to analyze this process. The simulation results show a good agreement with the experimental results: in this quasi-static deformation process, lubrication can hinder the surface asperity flattening process even under very low deformation rate. However, due to the limitation of the model and some parameters, the simulation results cannot predict all the properties in detail such as S orientation {123}and the maximum stress in sample compressed without lubrication. In addition, the experimental results show, with an increase in gauged reduction, the development of Taylor factor, and CSL boundaries show certain tendencies. Under the same gauged reduction, friction can increase the Taylor factor and Σ = 7

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction

Information extraction, e.g., attribute value extraction, has been extensively studied and formulated based only on text. However, many attributes can benefit from image-based extraction, like color, shape, pattern, among others. The visual modality has long been underutilized, mainly due to multimodal annotation difficulty. In this paper, we aim to patch the visual modality to the textual-established attribute information extractor. The cross-modality integration faces several unique challenges: (C1) images and textual descriptions are loosely paired intra-sample and inter-samples; (C2) images usually contain rich backgrounds that can mislead the prediction; (C3) weakly supervised labels from textual-established extractors are biased for multimodal training. We present PV2TEA, an encoder-decoder architecture equipped with three bias reduction schemes: (S1) Augmented label-smoothed contrast to improve the cross-modality alignment for loosely-paired image and text; (S2) Attention-pruning that adaptively distinguishes the visual foreground; (S3) Two-level neighborhood regularization that mitigates the label textual bias via reliability estimation. Empirical results on real-world e-Commerce datasets demonstrate up to 11.74% absolute (20.97% relatively) F1 increase over unimodal baselines.Comment: ACL 2023 Finding