A robust automatic micro-expression recognition system would have broad applications in national safety, police interrogation, and clinical diagnosis. Developing such a system requires high quality ...databases with sufficient training samples which are currently not available. We reviewed the previously developed micro-expression databases and built an improved one (CASME II), with higher temporal resolution (200 fps) and spatial resolution (about 280×340 pixels on facial area). We elicited participants' facial expressions in a well-controlled laboratory environment and proper illumination (such as removing light flickering). Among nearly 3000 facial movements, 247 micro-expressions were selected for the database with action units (AUs) and emotions labeled. For baseline evaluation, LBP-TOP and SVM were employed respectively for feature extraction and classifier with the leave-one-subject-out cross-validation method. The best performance is 63.41% for 5-class classification.
Neutral eosin Y‐derived photoexcited states have been found to serve as photoacids and direct hydrogen atom transfer (HAT) catalysts in the activation of glycals and C−H bonds, respectively. These ...studies pave the way for further use of eosin Y in photochemical synthesis.
New sides of eosin Y: Neutral eosin Y‐derived photoexcited states have been found to serve as photoacids and direct hydrogen atom transfer (HAT) catalysts in the activation of glycals and C−H bonds, respectively. These studies pave the way for further use of eosin Y in photochemical synthesis.
Purpose
Microvascular invasion (MVI) is a valuable predictor of survival in hepatocellular carcinoma (HCC) patients. This study developed predictive models using eXtreme Gradient Boosting (XGBoost) ...and deep learning based on CT images to predict MVI preoperatively.
Methods
In total, 405 patients were included. A total of 7302 radiomic features and 17 radiological features were extracted by a radiomics feature extraction package and radiologists, respectively. We developed a XGBoost model based on radiomics features, radiological features and clinical variables and a three-dimensional convolutional neural network (3D-CNN) to predict MVI status. Next, we compared the efficacy of the two models.
Results
Of the 405 patients, 220 (54.3%) were MVI positive, and 185 (45.7%) were MVI negative. The areas under the receiver operating characteristic curves (AUROCs) of the Radiomics-Radiological-Clinical (RRC) Model and 3D-CNN Model in the training set were 0.952 (95% confidence interval (CI) 0.923–0.973) and 0.980 (95% CI 0.959–0.993), respectively (
p
= 0.14). The AUROCs of the RRC Model and 3D-CNN Model in the validation set were 0.887 (95% CI 0.797–0.947) and 0.906 (95% CI 0.821–0.960), respectively (
p
= 0.83). Based on the MVI status predicted by the RRC and 3D-CNN Models, the mean recurrence-free survival (RFS) was significantly better in the predicted MVI-negative group than that in the predicted MVI-positive group (RRC Model: 69.95 vs. 24.80 months,
p
< 0.001; 3D-CNN Model: 64.06 vs. 31.05 months,
p
= 0.027).
Conclusion
The RRC Model and 3D-CNN models showed considerable efficacy in identifying MVI preoperatively. These machine learning models may facilitate decision-making in HCC treatment but requires further validation.
Micro-expressions are brief facial movements characterized by short duration, involuntariness and low intensity. Recognition of spontaneous facial micro-expressions is a great challenge. In this ...paper, we propose a simple yet effective Main Directional Mean Optical-flow (MDMO) feature for micro-expression recognition. We apply a robust optical flow method on micro-expression video clips and partition the facial area into regions of interest (ROIs) based partially on action units. The MDMO is a ROI-based, normalized statistic feature that considers both local statistic motion information and its spatial location. One of the significant characteristics of MDMO is that its feature dimension is small. The length of a MDMO feature vector is 36 × 2 = 72, where 36 is the number of ROIs. Furthermore, to reduce the influence of noise due to head movements, we propose an optical-flow-driven method to align all frames of a micro-expression video clip. Finally, a SVM classifier with the proposed MDMO feature is adopted for micro-expression recognition. Experimental results on three spontaneous micro-expression databases, namely SMIC, CASME and CASME II, show that the MDMO can achieve better performance than two state-of-the-art baseline features, i.e., LBP-TOP and HOOF.
Berberine (BBR) has been confirmed to have multiple bioactivities in clinic, such as cholesterol-lowering, anti-diabetes, cardiovascular protection and anti- inflammation. However, BBR's plasma level ...is very low; it cannot explain its pharmacological effects in patients. We consider that the in vivo distribution of BBR as well as of its bioactive metabolites might provide part of the explanation for this question. In this study, liquid chromatography coupled to ion trap time-of-flight mass spectrometry (LC/MS(n)-IT-TOF) as well as liquid chromatography that coupled with tandem mass spectrometry (LC-MS/MS) was used for the study of tissue distribution and pharmacokinetics of BBR in rats after oral administration (200 mg/kg). The results indicated that BBR was quickly distributed in the liver, kidneys, muscle, lungs, brain, heart, pancreas and fat in a descending order of its amount. The pharmacokinetic profile indicated that BBR's level in most of studied tissues was higher (or much higher) than that in plasma 4 h after administration. BBR remained relatively stable in the tissues like liver, heart, brain, muscle, pancreas etc. Organ distribution of BBR's metabolites was also investigated paralleled with that of BBR. Thalifendine (M1), berberrubine (M2) and jatrorrhizine (M4), which the metabolites with moderate bioactivity, were easily detected in organs like the liver and kidney. For instance, M1, M2 and M4 were the major metabolites in the liver, among which the percentage of M2 was up to 65.1%; the level of AUC (0-t) (area under the concentration-time curve) for BBR or the metabolites in the liver was 10-fold or 30-fold higher than that in plasma, respectively. In summary, the organ concentration of BBR (as well as its bioactive metabolites) was higher than its concentration in the blood after oral administration. It might explain BBR's pharmacological effects on human diseases in clinic.
Infrared nonlinear optical (IR-NLO) materials are the key components in solid-state lasers for military and civilian applications. The development of IR-NLO materials remains urgent because the ...existing commercial materials AgGaS2 (AGS), AgGaSe2, and ZnGeP2 are limited for their own intrinsic shortcomings, for example, the lower laser damage thresholds (LDTs), the non-phase-matchable feature, and the strong two-photon absorption, respectively, exhibited in AgGaSe2 and ZnGeP2 at a conventional laser of 1 μm. Chalcogenides, halides, and iodates are known to be common sources of potential IR-NLO materials with good properties, of which the most in-depth studied is usually constructed by single anions. Recently, mixed-anion inorganic compounds are thought to be promising IR-NLO materials which can optimize comprehensive performances, especially balance the incompatibility between a large NLO coefficient and a high LDT in one material. This review focuses on the syntheses and crystal structures of mixed-anion inorganic IR-NLO materials, as well as the relationships of structure–property. Examples include four kinds of such compounds, i.e., mixed-anion chalcogenides, mixed-anion halides, mixed-anion chalcohalides, and other miscellaneous mixed-anion compounds including adducts, oxychalcogenides, oxyhalides, iodate fluorides, selenite fluorides, and halide borates. This work gives some exploring directions for novel IR-NLO materials, including how to optimize the NLO performances of the existing materials, from the inferred structure–property relationships of the potential mixed-anion inorganic NLO compounds.
•Chemical compositions in fruit of three mulberry species from the same area were analysed.•The black mulberry fruit has the highest levels of organic acids, vitamin C, Fe, flavonoids and ...anthocyanins.•The white mulberry fruit has the highest contents of two essential fatty acids (linoleic acid and α-linolenic acid).
Mulberries are a widely cultivated foodstuff both in China and worldwide. However, there are stark differences in the nutritional values of mulberry species. To better appreciate these differences, we here describe the chemical characteristics of white (Morus alba L.), Russian (M. alba var. tatarica L.), and black (Morus nigra L.) mulberry fruits cultivated in the Xinjiang province of China. The chemical composition analysis was performed by official methods procedures. The amino acids were analysed by the phenyl isothiocyanate method. The 2,6-dichloroindophenol titrimetric method, the aluminium chloride colorimetric method, and the pH differential method were also used in measuring the content of reduced ascorbic acid, total flavonoids, and total monomeric anthocyanins, respectively. The black mulberry fruits had the highest content of reduced ascorbic acid (48.4mg/100gfw), titratable acidity (47.1mg/gfw), and Fe (11.9mg/100gfw) of these 3 species. The Russian mulberry fruits had the highest EAA/TAA (essential amino acid/total amino acid) ratio at 44% followed by the white mulberry (42%) and the black mulberry (29%). The black mulberry fruits had found to be richest in terms of total flavonoids and total monomeric anthocyanins. These results are helpful for selecting mulberry species with abundant nutrients and phytochemicals for commercial cultivation.
Background
Hepatocellular carcinoma (HCC) is a prevalent malignancy with poor prognosis. As a cell adhesion molecule, poliovirus receptor (PVR/CD155) is abnormally overexpressed in tumour cells, and ...related to tumour proliferation and invasion. However, the potential role and mechanism of CD155 have not yet been elucidated in HCC.
Methods
Immunohistochemistry, RT‐PCR and Western blot assays were used to determine CD155 expression in HCC cell lines and tissues. Cell Counting Kit‐8 and colony formation assays were used to examine cell proliferation. Transwell and wound healing assays were used to evaluate cell migration and invasion. Cell apoptosis and cycle distribution were assessed by flow cytometry. Cox regression and Kaplan–Meier analyses were performed to explore the clinical significance of CD155. The role of CD155 in vivo was evaluated by establishing liver orthotropic xenograft mice model. RNA sequencing, bioinformatics analysis and co‐immunoprecipitation assay were used to explore the downstream signalling pathway of CD155.
Results
CD155 was upregulated in HCC tissues and represented a promising prognostic indicator for HCC patients (n = 189) undergoing curative resection. High CD155 expression enhanced cell proliferation, migration and invasion, and contributed to cell survival in HCC. CD155 overexpression also induced epithelial–mesenchymal transition in HCC cells. CD155 function in HCC involved SRC/p38 MAPK signalling pathway. CD155 interacted with SRC homology‐2 domain of SRC and promoted SRC activation, further inhibiting the downstream p38 MAPK signalling pathway in HCC.
Conclusions
CD155 promotes HCC progression via the SRC/p38 MAPK signalling pathway. CD155 may represent a predictor for poor postsurgery prognosis in HCC patients.
CD155 is highly expressed in hepatocellular carcinoma (HCC) tissues, and its overexpression predicts poor postsurgery prognosis in HCC patients.
CD155 promotes HCC progression via its cell‐intrinsic role in regulating cell proliferation, migration, invasion and epithelial–mesenchymal transition (EMT).
CD155 enhances SRC activation through interacting with SH2 domain of SRC, further inhibiting the downstream p38 MAPK signalling pathway in HCC.
The selective photo‐oxidation of biomass‐derived 5‐hydroxymethylfurfural (HMF) to 2,5‐furandicarboxylic acid (FDCA) is important due to its substitute‐role in polyester‐fabrication. Here, a ...titanium‐cluster based metal‐covalent organic framework nanosheet has been synthesized through the covalent‐coupling between Ti6‐NH2 and benzotrithiophene tricarbaldehyde (BTT). The integration of them endows the nanosheet with a visible‐light‐adsorption region, effective electron‐hole separation‐efficiency and suitable photo‐oxidation ability. Specifically, its photo‐selectivity for HMF‐to‐FDCA can be >95 % with ≈100 % conversion, which is more than 2, 5, and 10 times higher than MOF‐901 (43 %), Ti6‐NH2 (19 %) and under‐darkness (9 %), respectively. Notably, an O2‐based mechanism is proposed and the vital roles of Ti6‐NH2 and BTT are verified by DFT calculations. This work might facilitate the exploration of porous‐crystalline‐catalysts for selective biomass‐valorization.
A titanium‐cluster‐based metal‐covalent organic framework nanosheet has been prepared through the covalent‐coupling between the Ti‐cluster and an oxidation group. The resulting nanosheets can be applied for highly selective photo‐oxidation of biomass HMF into FDCA.
A visible light-induced and exogenous photosensitizer-free, copper-catalyzed radical aminocarbonylation of cycloketone oxime esters with CO gas and amines is developed. The mild catalytic system ...involving CuCl and N,N,N-tridentate ligand shows good reactivity and chemoselectivity, and tolerates a wide range of cycloketone oxime esters and alkyl/aryl amines, giving the corresponding cyanoalkylated amides in moderate to good yields. Preliminary mechanistic studies suggest that the reaction involves a CuI/CuII/CuIII-based catalytic cycle and radical intermediate.
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