Non-small cell lung cancer (NSCLC) patients are particularly vulnerable to the Coronavirus Disease-2019 (COVID-19). Currently, no anti-NSCLC/COVID-19 treatment options available. As ginsenoside Rg3 is beneficial NSCLC and has been identified as an entry inhibitor of virus, this study aims explore underlying pharmacological mechanisms for with COVID-19.Based on a large-scale data mining systemic biological analysis, investigated target genes, processes, mechanisms, immune implications...

Objective: Shufeng Jiedu capsule (SFJDC) is a well-known Chinese patent drug that recommended as basic prescription and applied widely in the clinical treatment of COVID-19. However, exact molecular mechanism SFJDC remains unclear. The present study aims to determine potential pharmacological mechanisms COVID-19 based on network pharmacology. Methods: pharmacology-based strategy includes collection analysis active compounds target genes, construction, identification key hub KEGG GO...

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the leading cause of disease-2019 (COVID-19), is an emerging global health crisis. Lung cancer patients are at a higher risk COVID-19 infection. With increasing number non-small-cell lung (NSCLC) with COVID-19, there urgent need efficacious drugs for treatment COVID-19/NSCLC. Methods: Based on comprehensive bioinformatic and systemic biological analysis, this study investigated COVID-19/NSCLC interactional hub genes,...

To determine the level of knowledge about skin tears among geriatric ward nurses and identify associated factors. In this cross-sectional study in Southwest China, 1172 from 10 hospitals participated. Data were collected using Sojump, a Chinese web-based platform, Skin Tear Knowledge Assessment Instrument was used to assess their knowledge. The analysis involved descriptive statistics, correlation analysis, multiple linear regression. participants with an average age 36.73 (SD = 6.54) years....

To enhance the depth of excavation and promote intelligence acupoint compatibility, a method constructing weighted network, which combines attributes acupoints supervised learning, is proposed for link prediction. Medical cases cervical spondylosis with acupuncture treatment are standardized, network constructed according to attributes. Multiple similarity features extracted from input into learning model And, performance algorithm evaluated through evaluation indicators. The experiment...

Lumbar disc herniation (LDH) is the most common cause of low back pain and severely affects people's quality life ability to work. Although many clinical trials medical reports conducted over years have shown that acupuncture treatments are effective for LDH, comparative effectiveness these different therapies still unclear. This protocol a network meta-analysis was designed compare effects safety treatment regimens on LDH using both direct indirect evidence.This reported according 2015...

With the globalizing of economic development in recent years, cross-border e-commerce has gradually broken traditional import and export model shown great potential. However, since differences policy, culture, regular, social systems among different countries areas exist, stake credit become a challenge for e-commerce. The big data produced by these institutions are becoming focus related research. By utilizing rationally, enterprises can skillfully avoid risk reach better development. In...

There exists a dilemma for professional colleges and enterprises today: while both the graduates demand talents in e-commerce field are increasing rapidly, it is hard to find jobs recruit talents.Based on wide deep investigation, reason found: most have big problems their teaching mode.They teach traditional way which focuses primarily theoretical knowledge overlooks practical training operation ability cultivating so that can not meet quality requirement of enterprises.In this context,...

This paper focuses on the data sparsity, performance and scalability problems in e-commerce personalized recommendation algorithms.This proposes a KNN-SVM algorithm collaborative chaotic filtering based above two improvements, taking into account traditional similarity of algorithms In case sparse data, calculation is inaccurate.The structural are organically combined, combined method proposed, which better compensates for inaccurate data.Based basic matrix factorization deviation-based...

Introduction: Magnolol is beneficial against inflammation-mediated damage. However, the underlying mechanisms by which magnolol exerts anti-inflammatory effects on macrophages remain unclear. Objective: In this study, network pharmacology and experimental validation were used to assess effect of inflammation caused lipopolysaccharide (LPS) in RAW264.7 cells. Materials Methods: Genes related identified PubChem Swiss Target Prediction databases, gene information about macrophage polarization...

This paper uses the mathematical technique AHP-BP and applicates blockchain technology. First, it constructs a comprehensive quality management system conclusing everyone from raw material suppliers to consumers base on advantages characteristics of technology in view difficult problems management. Then order test effect system, evaluation method give weight indicators scientifically. Through scoring, proves that proposed has obvious this paper.