348 research outputs found
Tourist Sentiment Mining Based on Deep Learning
Mining the sentiment of the user on the internet via the context plays a significant role in uncovering the human emotion and in determining the exactness of the underlying emotion in the context. An increasingly enormous number of user-generated content (UGC) in social media and online travel platforms lead to development of data-driven sentiment analysis (SA), and most extant SA in the domain of tourism is conducted using document-based SA (DBSA). However, DBSA cannot be used to examine what specific aspects need to be improved or disclose the unknown dimensions that affect the overall sentiment like aspect-based SA (ABSA). ABSA requires accurate identification of the aspects and sentiment orientation in the UGC. In this book chapter, we illustrate the contribution of data mining based on deep learning in sentiment and emotion detection
RGD-conjugated gold nanorods induce radiosensitization in melanoma cancer cells by downregulating αvβ3 expression
Background: Melanoma is known to be radioresistant and traditional treatments have been intractable. Therefore, novel approaches are required to improve the therapeutic efficacy of melanoma treatment. In our study, gold nanorods conjugated with Arg-Gly-Asp peptides (RGD-GNRs) were used as a sensitizer to enhance the response of melanoma cells to 6 mV radiation. Methods and materials: A375 melanoma cells were treated by gold nanorods or RGD-GNRs with or without irradiation. The antiproliferative impact of the treatments was measured by MTT assay. Radiosensitizing effects were determined by colony formation assay. Apoptosis and cell cycle data were measured by flow cytometry. Integrin alpha(v)beta(3) expression was also investigated by flow cytometry. Results: Addition of RGD-GNRs enhanced the radiosensitivity of A375 cells with a dose-modifying factor of 1.35, and enhanced radiation-induced apoptosis. DNA flow cytometric analysis indicated that RGD-GNRs plus irradiation induced significant G2/M phase arrest in A375 cells. Both spontaneous and radiation-induced expressions of integrin alpha(v)beta(3) were downregulated by RGD-GNRs. Conclusion: Our study indicated that RGD-GNRs could sensitize melanoma A375 cells to irradiation. It was hypothesized that this was mainly through downregulation of radiation-induced alpha(v)beta(3), in addition to induction of a higher proportion of cells within the G2/M phase. The combination of RGD-GNRs and radiation needs further investigation.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000302718200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Nanoscience & NanotechnologyPharmacology & PharmacySCI(E)22ARTICLE915-924
Antiviral biflavonoids from Radix Wikstroemiae (Liaogewanggen)
<p>Abstract</p> <p>Background</p> <p><it>Radix Wikstroemiae </it>is a common Chinese herbal medicine. The ethyl acetate fraction of the ethanolic extract of <it>W. indica </it>possesses potent <it>in vitro </it>antiviral activity against respiratory syncytial virus (RSV). This study aims to identify the antiviral components of the active fraction.</p> <p>Methods</p> <p>The active fraction of the <it>Radix Wikstroemiae </it>extract was isolated with chromatographic methods such as silica gel, Sephadex LH-20 and semi-preparative high performance liquid chromatography (HPLC) columns. The structures of the isolated compounds were determined based on spectroscopic analyses. The <it>in vitro </it>antiviral activity of the compounds against RSV was tested with the cytopathic effect (CPE) reduction assay and the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method.</p> <p>Results</p> <p>Four biflavonoids, namely neochamaejasmin B, genkwanol B, genkwanol C and stelleranol, were isolated and characterized. Genkwanol B, genkwanol C and stelleranol, which are stereo isomers of spirobiflavonoids, showed potent anti-RSV activity whereas neochamaejasmin B did not.</p> <p>Conclusion</p> <p>Neochamaejasmin B, genkwanol B, genkwanol C and stelleranol were isolated from <it>Radix Wikstroemiae </it>and the complete absolute configurations of five chiral carbons in stelleranol were substantiated for the first time. Furthermore, the anti-RSV activity of genkwanol B, genkwanol C and stelleranol was reported for the first time.</p
Altered Gray Matter Volume and Its Correlation With PTSD Severity in Chinese Earthquake Survivors
Objective: To detect the changes of gray matter volume (GMV) and their correlation with severity of symptom in patients with post-traumatic stress disorder (PTSD) who were defined with updated DSM-5 diagnostic criteria.Method: 71 participants were assigned into PTSD group (n = 35) or trauma-exposed control (TEC) group (n = 36) with the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Voxel-based morphometry analysis was used to detect alterations in GMV in the PTSD group.Results: We found that the PTSD group had larger GMV in the left middle temporal gyrus (MTG) and in the right dorsal medial prefrontal cortex (dmPFC), and smaller GMV in the region of the right temporal pole (TP) than the TEC group. We also found that PTSD Checklist for DSM-5 (PCL-5) scores correlated positively with the left MTG and right dmPFC GMV, and negatively with left TP GMV. These correlations were consistent with the findings of the between-group comparisons.Conclusions: GMV alterations in the MTG, dmPFC, and TP are detected in the group comparisons and correlated with symptom severity when classifying PTSD individuals according to DSM-5 diagnostic criteria within an earthquake-exposed population
Analysis of failure mode and deformation evolution characteristics of slopes under the influence of highwall mining
The slope has the typical deformation failure and instability characteristics under the interaction of natural and human factors which has been given a lot of attention in geotechnical and mining engineering. During highwall mining, in particular, deformation evolution characteristics and failure mode are more complex under dual influence of open pit mine and underground mine. Physical modelling is an important means to study the characteristics and behavior of deformation and evolution of various types of rock and soil mass, and it is also an important supplement to the field study of large-scale rock and soil mass. It is widely used in mines and geotechnical engineering. The determination of the material used for physical modeling is the foundation and key links of research. Therefore, the article firstly selected river sand/aggregate, lime and gypsum/cemented material as the experimental materials through the relevant literature review and based on the principle of economic and convenience, and adopted two proportioning schemes to make standard specimens. The uniaxial compression test was carried out to compare and analyze the strength of the original rock, and it was determined that the scheme 2 could be used as the research scaling number of the physical modelling; Secondly, on the basis of determining the material proportion, the physical and structural model of highwall mining is established, and the analysis shows that the evolution characteristics of slope deformation and failure in the process of highwall mining can be divided into superficial transformation stage, structural transformation stage and aging deformation stage, the deformed and damaged rock mass can be divided into “vertical three zones”, namely caved zone, fractured zone and continuous bending zone. According to the length of the panel, the coal seam can be divided into three stages: initial stage, middle stage and final stage. The lower coal seam can be divided into two stages: the initial stage and the final stage. The evolution of the slope rock mass due to the extraction of the upper coal seam to the stopping line is characterized by the formation of subsidence faded areas along the center of the goaf to both sides, and finally a symmetrical distribution of semi-“pyramid” shape is formed. The rock mass that is deformed and damaged due to the extraction of the lower seam to the mining stop line is in a semi-curve-like shape; Finally, based on the analysis of physical modelling and field monitoring, it is concluded that when the upper coal seam of the highwall coal seam is mined to about 120 m, the slope shows a slight instability. When the lower coal seam is mined to about 120 m, the goaf between the upper and lower coal seams is connected, and the instability is intensified until the mining reaches the stopping line. In the upper part of the slope, 1400 step forms a local collapse instability zone pointing to the open-pit, while the rest of the step are anti-dip instability pointing to the goaf
Structure-driven intercalated architecture of septuple-atomic-layer family with diverse properties from semiconductor to topological insulator to Ising superconductor
Motivated by the fact that septuple-atomic-layer MnBiTe can be
structurally viewed as the combination of double-atomic-layer MnTe
intercalating into quintuple-atomic-layer BiTe, we present a general
approach of constructing twelve septuple-atomic-layer - and
- monolayer family (\emph{i} = 1 to 6) by intercalating
MoS-type monolayer into InSe-type AZ monolayer. Besides
reproducing the experimentally synthesized -MoSiN,
-WSiN and -MnBiTe monolayer materials,
another 66 thermodynamically and dynamically stable were predicted,
which span a wide range of properties upon the number of valence electrons
(VEC). with the rules of 32 or 34 VEC are mostly semiconductors with
direct or indirect band gap and, however, with 33 VEC are generally metal,
half-metal ferromagnetism, or spin-gapless semiconductor upon whether or not an
unpaired electron is spin polarized. Moreover, we propose
-WSiP for the spin-valley polarization,
-TaSiN for Ising superconductor and -SrGaSe
for topological insulator.Comment: Maintext 9 pages; 5 figures; Supplementary Materials 8 figures and 4
table
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An improved double channel long short-term memory model for medical text classification
There are a large number of symptom consultation texts in medical and healthcare Internet communities, and Chinese health segmentation is more complex, which leads to the low accuracy of the existing algorithms for medical text classification. The deep learning model has advantages in extracting abstract features of text effectively. However, for a large number of samples of complex text data, especially for words with ambiguous meanings in the field of Chinese medical diagnosis, the word-level neural network model is insufficient. Therefore, in order to solve the triage and precise treatment of patients, we present an improved Double Channel (DC) mechanism as a significant enhancement to Long Short-Term Memory (LSTM). In this DC mechanism, two channels are used to receive word-level and char-level embedding, respectively, at the same time. Hybrid attention is proposed to combine the current time output with the current time unit state and then using attention to calculate the weight. By calculating the probability distribution of each timestep input data weight, the weight score is obtained, and then weighted summation is performed. At last, the data input by each timestep is subjected to trade-off learning to improve the generalization ability of the model learning. Moreover, we conduct an extensive performance evaluation on two different datasets: cMedQA and Sentiment140. The experimental results show that the DC-LSTM model proposed in this paper has significantly superior accuracy and ROC compared with the basic CNN-LSTM model
Research progress on the role of the Wnt signaling pathway in pituitary adenoma
Pituitary adenoma (PA) is the third most common central nervous system tumor originating from the anterior pituitary, but its pathogenesis remains unclear. The Wnt signaling pathway is a conserved pathway involved in cell proliferation, Self-renewal of stem cells, and cell differentiation. It is related to the occurrence of various tumors, including PA. This article reviews the latest developments in Wnt pathway inhibitors and pathway-targeted drugs. It discusses the possibility of combining Wnt pathway inhibitors with immunotherapy to provide a theoretical basis for the combined treatment of PA
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