639 research outputs found
The Contemporary Values and Practical Ways of Chinese National Culture Education
With the continuous development of the “Chinese national culture boom”, people’s understanding of national culture is deepening. National culture education is rich in connotation, covers multiple levels such as ideology, moral value, and humanism, and has contemporary value. As we enter the new era, we should strengthen cultural self-confidence and identity, improve cultural literacy and cultivation, and promote cultural exchange and integration as the focal points for inheriting and transmitting Chinese excellent traditional culture. Therefore, it is necessary to study traditional culture in depth, integrate it into the ideological and political curriculum, modern life and modern technology, actively promote the creative transformation and innovative development of Chinese excellent traditional culture, promote the modernization and transformation of traditional culture, and inject vitality and vigor into the dissemination of national culture
Isolation of a novel bio-peptide from walnut residual protein inducing apoptosis and autophagy on cancer cells
Network modelling reveals the mechanism underlying colitis-associated colon cancer and identifies novel combinatorial anti-cancer targets
The connection between inflammation and tumourigenesis has been well established. However, the detailed molecular mechanism underlying inflammation-associated tumourigenesis remains unknown because this process involves a complex interplay between immune microenvironments and epithelial cells. To obtain a more systematic understanding of inflammation-associated tumourigenesis as well as to identify novel therapeutic approaches, we constructed a knowledge-based network describing the development of colitis-associated colon cancer (CAC) by integrating the extracellular microenvironment and intracellular signalling pathways. Dynamic simulations of the CAC network revealed a core network module, including P53, MDM2, and AKT, that may govern the malignant transformation of colon epithelial cells in a pro-tumor inflammatory microenvironment. Furthermore, in silico mutation studies and experimental validations led to a novel finding that concurrently targeting ceramide and PI3K/AKT pathway by chemical probes or marketed drugs achieves synergistic anti-cancer effects. Overall, our network model can guide further mechanistic studies on CAC and provide new insights into the design of combinatorial cancer therapies in a rational manner
Cross-position Activity Recognition with Stratified Transfer Learning
Human activity recognition aims to recognize the activities of daily living
by utilizing the sensors on different body parts. However, when the labeled
data from a certain body position (i.e. target domain) is missing, how to
leverage the data from other positions (i.e. source domain) to help learn the
activity labels of this position? When there are several source domains
available, it is often difficult to select the most similar source domain to
the target domain. With the selected source domain, we need to perform accurate
knowledge transfer between domains. Existing methods only learn the global
distance between domains while ignoring the local property. In this paper, we
propose a \textit{Stratified Transfer Learning} (STL) framework to perform both
source domain selection and knowledge transfer. STL is based on our proposed
\textit{Stratified} distance to capture the local property of domains. STL
consists of two components: Stratified Domain Selection (STL-SDS) can select
the most similar source domain to the target domain; Stratified Activity
Transfer (STL-SAT) is able to perform accurate knowledge transfer. Extensive
experiments on three public activity recognition datasets demonstrate the
superiority of STL. Furthermore, we extensively investigate the performance of
transfer learning across different degrees of similarities and activity levels
between domains. We also discuss the potential applications of STL in other
fields of pervasive computing for future research.Comment: Submit to Pervasive and Mobile Computing as an extension to PerCom 18
paper; First revision. arXiv admin note: substantial text overlap with
arXiv:1801.0082
The linear and nonlinear inverse Compton scattering between microwaves and electrons in a resonant cavity
In a free space, the Sunyaev-Zel'dovich (SZ) effect is a small spectral
distortion of the cosmic microwave background (CMB) spectrum caused by inverse
Compton scattering of microwave background photons from energetic electrons in
the plasma. However, the microwave does not propagate with a plane waveform in
a resonant cavity, the inverse Compton scattering process is a little different
from that in a free space. By taking the Fourier expansion of the microwave
field in the cavity, the coefficients of the first-order and the higher-order
terms describe the local-space effect on the linear and nonlinear inverse
Compton scattering respectively. With our theoretical results, the linear or
nonlinear inverse Compton scattering cross section between microwave photons
and electrons has important applications on the energy calibration of the
extremely energetic electron beam, the sources of the terahertz waves, the
extreme ultra-violet (EUV) waves or the mid-infrared beams.Comment: 8 pages, 5 figure
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