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The Teaching Strategy of Socio-Political Education by Deep Learning Under Educational Psychology
Frontiers in Psychology, 2023 This study aims to optimize the teaching content of ideological and political courses and guide students to establish correct values. Inspired by Artificial Intelligence, the K-means clustering algorithm was applied to the neural collaborative filtering ...
Zhen Chen +4 more
doaj +1 more source
Submersions and effective descent of etale morphisms [PDF]
, 2010 Using the flatification by blow-up result of Raynaud and Gruson, we obtain new results for submersive and subtrusive morphisms. We show that universally subtrusive morphisms, and in particular universally open morphisms, are morphisms of effective ...
Rydh, David
core +2 more sources
Associated $t \bar{t} H$ production at the LHC: theoretical predictions at NLO+NNLL accuracy [PDF]
, 2017 We perform threshold resummation of soft gluon corrections to the total cross section and the invariant mass distribution for the process $pp \to t\bar{t}H$.
Kulesza, Anna +3 more
core +2 more sources
Atmosphere, 2020 This article focuses on the source apportionment of air pollution in a specific northeastern part of the Czech Republic. The research area, located around the city of Třinec, is significantly affected by a complex spectrum of air pollution sources ...
Radim Seibert +4 more
doaj +1 more source
Mellin Representation for the Heavy Flavor Contributions to Deep Inelastic Structure Functions [PDF]
, 2004 We derive semi--analytic expressions for the analytic continuation of the Mellin transforms of the heavy flavor QCD coefficient functions for neutral current deep inelastic scattering in leading and next-to-leading order to complex values of the Mellin ...
Abbott +69 more
core +2 more sources
Applying Time Series to The Task of Background User Identification Based on Their Text Data Analysis
Труды Института системного программирования РАН, 2018 The paper presents the novel approach of user identification based on behavior analytics of user operations with a text information. It is offered to describe user behavior by content of his text documents. The structured representation of the considered
V. Y. Korolev +4 more
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Asymmetric Recommendation Algorithm in Heterogeneous Information Network
Jisuanji kexue yu tansuo, 2020 In recent years, as a new research direction, heterogeneous information networks have attracted a lot of attention in recommendation system. Most similarity measures based on heterogeneous information networks follow that the relationship between users ...
ZHAO Chuan, ZHANG Kaihan, LIANG Jiye
doaj +1 more source
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2014 We provide irreducibility criteria for multiplicative convolutions of polynomials with integer coefficients, that is, for polynomials of the form hdeg f · f(g/h), where f, g, h are polynomials with integer coefficients, and g and h are relatively prime ...
Bonciocat Anca Iuliana +2 more
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Two aspects on L1-norm adjustment of leveling networks
Revista Brasileira de Cartografia, 2019 L1-norm adjustment corresponds to the minimization of the sum of weighted absolute residuals. Unlike Least Squares, it is a robust estimator, i.e., insensitive to outliers.
Stefano Sampaio Suraci +2 more
doaj +1 more source
Scientific Reports, 2023 Despite being significant in various diseases, including cancers, the impact of copper metabolism on osteosarcoma (OS) remains largely unexplored. This study aimed to use bioinformatics analyses to identify a reliable copper metabolism signature that ...
Zili Lin +5 more
doaj +1 more source