315 research outputs found
Is Democracy A Cause of Peace?
The West has been discussing the relationship between democracy and peace for a long time. The “Democratic Peace Theory” was put forward as early as Kant’s period, furthermore, this theory flourished again after the Second World War. After the end of the Cold War, Fukuyama and other scholars reinterpreted the “Democratic Peace Theory” and had a profound impact on the foreign policies of today’s Europe and the United States. The purpose of this article is to analyze the theoretical logic of the “Democratic Peace Theory” and its application in reality, as a consequence to examine how this theory provides an ideological excuse for the intervention and expansion of the world war situation
Interest rate liberalization and debt risk in China
Interest rate liberalization, which will have a multi-impact on the economy in the process of marketization, especially on the macro-debt market, is a requirement to develop the market economy. It is a current important economic topic that the risk control of the macro-debt market is related to the healthy degree of the economic de-velopment after the debt financing leverage turns to assets investment, and the study around these contents should be a cause for concern. As an important component of deepening financial reforms, the effect of interest rate liberalization on owners’ opera-tions and management behavior of a micro-enterprise is prominent; on the other hand, the continuous climbing debt risk of local government will affect the financial deci-sions and implementation effect of enterprises by spillover effect. We made an empir-ical research on the extent of interest rate liberalization in China integrating relevant modes with the statistical data of PBC and our nation. Research on the reform in the Chinese financial market showed that prompting the reform of interest rate liberaliza-tion can obviously increase enterprises’ financing capabilities which will be restrained by the aggravation of the local government’s debt risk, and the significant enhance-ment of it enhances the impetus to enterprises’ financing capabilities from interest rate liberalization
Human or Beast: Xenogeneic Creature’s Self-Identity from the Perspective of Ethics —A Case Study of The Island of Dr. Moreau
This paper aims to study the Xenogeneic creature’s ethical choice from the perspective of scientific ethics and legal ethics by analyzing the existing problems, construction methods, and failure reasons of orc self-identity in The Island of Dr. Moreau. By analyzing the orcs’ survival dilemma, the author of this paper finds out that the orcs’ failure of self-identity is closely related to the lack of ethical constraints on scientific experiments and the lack of moral considerations in the formulation of laws
A calculation method to estimate thermal conductivity of high entropy ceramic for thermal barrier coatings
High entropy ceramics are highly promising as next generation thermal barrier
coatings due to their unique disorder structure, which imparts ultra-low
thermal conductivity and good high temperature stability. Unlike traditional
ceramic materials, the thermal resistance in high entropy ceramics
predominantly arises from phonon-disorder scattering rather than phonon-phonon
interactions. In this study, we propose a calculation method based on the
supercell phonon unfolding (SPU) technique to predict the thermal conductivity
of high entropy ceramics, specially focusing on rocksalt oxides structures. Our
prediction method relies on using the reciprocal value of SPU phonon spectra
linewidth as an indicator of phonon lifetime. The obtained results demonstrate
a strong agreement between the predicted thermal conductivities and the
experimental measurements, validating the feasibility of our calculation
method. Furthermore, we extensively investigate and discuss the atomic
relaxation and lattice distortion effects in 5-dopants and 6-dopants rocksalt
structures during the process.Comment: 19 page, 8 figure
Camouflaged Object Detection with Feature Grafting and Distractor Aware
The task of Camouflaged Object Detection (COD) aims to accurately segment
camouflaged objects that integrated into the environment, which is more
challenging than ordinary detection as the texture between the target and
background is visually indistinguishable. In this paper, we proposed a novel
Feature Grafting and Distractor Aware network (FDNet) to handle the COD task.
Specifically, we use CNN and Transformer to encode multi-scale images in
parallel. In order to better explore the advantages of the two encoders, we
design a cross-attention-based Feature Grafting Module to graft features
extracted from Transformer branch into CNN branch, after which the features are
aggregated in the Feature Fusion Module. A Distractor Aware Module is designed
to explicitly model the two possible distractors in the COD task to refine the
coarse camouflage map. We also proposed the largest artificial camouflaged
object dataset which contains 2000 images with annotations, named ACOD2K. We
conducted extensive experiments on four widely used benchmark datasets and the
ACOD2K dataset. The results show that our method significantly outperforms
other state-of-the-art methods. The code and the ACOD2K will be available at
https://github.com/syxvision/FDNet.Comment: ICME2023 pape
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