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SUMMARY: Xylan is one of the major hemicelluloses in plant cell walls and its xylosyl backbone is often decorated at O‐2 with glucuronic acid (GlcA) and/or methylglucuronic acid (MeGlcA) residues. The GlcA/MeGlcA side chains may be further substituted with 2‐O‐arabinopyranose (Arap) or 2‐O‐galactopyranose (Gal) residues in some plant species, but the enzymes responsible for these substitutions remain unknown. During our endeavor to investigate the enzymatic activities of Arabidopsis MUR3‐clade members of the GT47 glycosyltransferase family, we found that one of them was able to transfer Arap from UDP‐Arap onto O‐2 of GlcA side chains of xylan, and thus it was named xylan 2‐O‐arabinopyranosyltransferase 1 (AtXAPT1). The function of AtXAPT1 was verified in planta by its T‐DNA knockout mutation showing a loss of the Arap substitution on xylan GlcA side chains. Further biochemical characterization of XAPT close homologs from other plant species demonstrated that while the poplar ones had the same catalytic activity as AtXAPT1, those from Eucalyptus, lemon‐scented gum, sea apple, 'Ohi'a lehua, duckweed and purple yam were capable of catalyzing both 2‐O‐Arap and 2‐O‐Gal substitutions of xylan GlcA side chains albeit with differential activities. Sequential reactions with XAPTs and glucuronoxylan methyltransferase 3 (GXM3) showed that XAPTs acted poorly on MeGlcA side chains, whereas GXM3 could efficiently methylate arabinosylated or galactosylated GlcA side chains of xylan. Furthermore, molecular docking and site‐directed mutagenesis analyses of Eucalyptus XAPT1 revealed critical roles of several amino acid residues at the putative active site in its activity. Together, these findings establish that XAPTs residing in the MUR3 clade of family GT47 are responsible for 2‐O‐arabinopyranosylation and 2‐O‐galactosylation of GlcA side chains of xylan. Significance Statement: Xylan is one of the major hemicelluloses in plant cell walls and its GlcA side chains may be further substituted with 2‐O‐Arap or 2‐O‐Gal residues. We have uncovered the functions of a subgroup of MUR3‐clade GT47 members in catalyzing the transfer of 2‐O‐Arap and/or 2‐O‐Gal onto GlcA side chains of xylan, which expands our understanding of glycosyltransferases involved in xylan substitutions. [ABSTRACT FROM AUTHOR]

Plant cell walls are largely composed of polysaccharide polymers, including cellulose, hemicelluloses (xyloglucan, xylan, mannan, and mixed-linkage β-1,3/1,4-glucan), and pectins. Among these cell wall polysaccharides, xyloglucan, xylan, mannan, and pectins are often O-acetylated, and polysaccharide O-acetylation plays important roles in cell wall assembly and disease resistance. Genetic and biochemical analyses have implicated the involvement of three groups of proteins in plant cell wall polysaccharide O-acetylation: trichome birefringence-like (TBL)/domain of unknown function 231 (DUF231), reduced wall acetylation (RWA), and altered xyloglucan 9 (AXY9). Although the exact roles of RWAs and AXY9 are yet to be identified, members of the TBL/DUF231 family have been found to be O-acetyltransferases responsible for the O-acetylation of xyloglucan, xylan, mannan, and pectins. Here, we provide a comprehensive overview of the occurrence of O-acetylated cell wall polysaccharides, the biochemical properties, structural features, and evolution of cell wall polysaccharide O-acetyltransferases, and the potential biotechnological applications of manipulations of cell wall polysaccharide acetylation. Further in-depth studies of the biochemical mechanisms of cell wall polysaccharide O-acetylation will not only enrich our understanding of cell wall biology, but also have important implications in engineering plants with increased disease resistance and reduced recalcitrance for biofuel production. [ABSTRACT FROM AUTHOR]

This study prepared resistant starch (RS) from waxy corn starch and normal corn starch and analyzed the effects of its molecular and microstructural characteristics on RS content. The RS content of waxy corn resistant starch (RS-WCS) was highest at 57.8%, whereas that of normal corn resistant starch (RS-NCS) was 41.46%. The short-chain amylose contents of RS-WCS and RS-NCS were 47.08% and 37.24%, respectively, proportional to their RS content. Additionally, RS content positively correlated with crystallinity, short-range order degree, and degree of polymerization (DP), exceeding 25. Electron microscopic images, before and after enzymolysis, revealed that RS-WCS was hydrolyzed from the surface to the center by pancreatic α-amylase, while RS-NCS underwent simultaneous hydrolysis at the surface and center. These results indicate that the higher RS content in RS-WCS, compared to RS-NCS, is attributable to the synergistic effects of molecular structure and microstructure. [ABSTRACT FROM AUTHOR]

Here we introduce a metal‐free, catalytic and enantioselective strategy from α,β‐unsaturated 2‐acyl imidazoles to the chiral phosphorous 2‐acyl imidazoles. Interestingly, this methodology was catalyzed by the classical and commercial oxazaborolidine under mild conditions. This strategy features a wide range of substrates scope with good yields and excellent enantioselectivities. The possible mechanism further suggests the key of this reaction through the cleavage of diarylphosphine oxides using Frustrated Lewis Pairs theory. [ABSTRACT FROM AUTHOR]

Main conclusion: A member of the rice GT61 clade B is capable of transferring both 2-O-xylosyl and 2-O-arabinosyl residues onto xylan and another member specifically catalyses addition of 2-O-xylosyl residue onto xylan. Grass xylan is substituted predominantly with 3-O-arabinofuranose (Araf) as well as with some minor side chains, such as 2-O-Araf and 2-O-(methyl)glucuronic acid [(Me)GlcA]. 3-O-Arabinosylation of grass xylan has been shown to be catalysed by grass-expanded clade A members of the glycosyltransferase family 61. However, glycosyltransferases mediating 2-O-arabinosylation of grass xylan remain elusive. Here, we performed biochemical studies of two rice GT61 clade B members and found that one of them was capable of transferring both xylosyl (Xyl) and Araf residues from UDP-Xyl and UDP-Araf, respectively, onto xylooligomer acceptors, whereas the other specifically catalysed Xyl transfer onto xylooligomers, indicating that the former is a xylan xylosyl/arabinosyl transferase (named OsXXAT1 herein) and the latter is a xylan xylosyltransferase (named OsXYXT2). Structural analysis of the OsXXAT1- and OsXYXT2-catalysed reaction products revealed that the Xyl and Araf residues were transferred onto O-2 positions of xylooligomers. Furthermore, we demonstrated that OsXXAT1 and OsXYXT2 were able to substitute acetylated xylooligomers, but only OsXXAT1 could xylosylate GlcA-substituted xylooligomers. OsXXAT1 and OsXYXT2 were predicted to adopt a GT-B fold structure and molecular docking revealed candidate amino acid residues at the predicted active site involved in binding of the nucleotide sugar donor and the xylohexaose acceptor substrates. Together, our results establish that OsXXAT1 is a xylan 2-O-xylosyl/2-O-arabinosyl transferase and OsXYXT2 is a xylan 2-O-xylosyltransferase, which expands our knowledge of roles of the GT61 family in grass xylan synthesis. [ABSTRACT FROM AUTHOR]

A highly active MnO2 catalyst with mixed crystal forms for the catalytic combustion of ethyl acetate was successfully prepared. The characterization results showed that increasing the hydrothermal temperature promotes the transformation of MnO2 from α phase to β phase, and the microscopic morphology gradually evolves from stacked granular to rod-like structure, thereby obtaining biphasic mesoporous MnO2. In particular, the lattice fringes of α and β phases observed in HRTEM further proved that MnO2 possesses a dual-phase structure. XPS verified that MnO2–180°C has the highest Oads/Olatt (0.45) and Mn3+/Mn4+ (0.90) ratio, and as oxygen vacancies appear together with the formation of Mn3+ ions. The MnO2–180°C catalyst displayed the best performance that T99 (the temperature needed for 99% conversion) is as low as 170°C even though under the high space velocity of 68 000 mL g–1 h–1. Furthermore, the catalytic activity remained unchanged after 24 h of continuous reaction, demonstrating excellent low-temperature catalytic performance and good stability. [ABSTRACT FROM AUTHOR]

Purpose Forkhead box (FOX) family proteins regulate transcription and DNA repair and are involved in cell growth, differentiation, embryogenesis, and lifespan. The transcription factor FOXE1 is a member of the FOX family. The relationship between the expression level of FOXE1 and colorectal cancer (CRC) prognosis remains controversial. It is vital to verify the relationship between FOXE1 expression and the prognosis of patients with CRC. Methods We constructed a tissue microarray containing 879 primary colorectal cancer tissues and 203 normal mucosa samples. The tumor and normal mucosa tissues were stained with FOXE1 by immunohistochemistry, and the staining results were divided into two groups: high expression group and low expression group. Chi-square test was performed for the classification variable of the difference between FOXE1 expression levels and clinicopathological parameters. The survival curve was calculated according to the Kaplan–Meier method and the logarithmic rank test. The Cox proportional risk regression model was used for multivariate analysis of prognostic factors in patients with CRC.Results The expression level of FOXE1 in colorectal cancer was higher than that in the normal mucosa adjacent to cancer, although the difference was not significant. However, the expression of FOXE1 was correlated with tumor size, T stage, N stage, M stage, and pTNM stage. Univariate and multivariate analyses suggested that FOXE1 could be used as an independent prognostic factor in patients with CRC. Conclusions FOXE1 may be a potential independent prognostic factor for colorectal cancer patients. [ABSTRACT FROM AUTHOR]

Among all‐inorganic perovskites, CsPbIBr2 has become a potential candidate in semitransparent perovskite solar cells (ST‐PSCs) due to its excellent thermal stability and suitable bandgap. Herein, by optimizing the ambient temperature in an N2‐filled glovebox, the growth process of CsPbIBr2 crystals is regulated to avoid the generation of pinholes and improve the photoelectric conversion capacity of perovskite cells. When the ambient temperature is around 25 °C, the champion power conversion efficiency (PCE) of 10.82% with opaque n–i–p structure is achieved. Based on MoOx/Ag/MoOx (20/12/20 nm) multilayer top electrode, the ST‐PSC device achieves a maximum PCE of 7.06% at the fluorine‐doped tin oxide side under the simulated 1 sun illumination condition and a PCE of 23.96% at MoOx/Ag/MoOx electrode side under the intensity of 1000 lux (≈350 μW cm−2) provided by a white light‐emitting diode lamp, along with an average visible transmittance of 29.25%. The resulting perovskite solar cell is the first bifacial inorganic ST‐PSC that could be used under both sunlight and indoor light, which is an important step toward all‐day power generation of inorganic ST‐PSCs and building‐integrated photovoltaics. [ABSTRACT FROM AUTHOR]

Background: Gastric cancer (GC) remains a global challenge due to its high morbidity and mortality rates especially in Asia as well as poor response to treatment. As a member of the adhesion protein family and transmembrane glycoprotein, EpCAM expressed excessively in cancer cells including GC cells. The database assay showed that EpCAM is excessively expressed and easily mutated in cancers, especially in early stage of GC. Methods: To explore the roles EpCAM plays in oncogenesis and progression of GC, the expression of EpCAM was deleted in GC cells with CRISPR/Cas9 method, and then the changes of cell proliferation, apoptosis, motility and motility associated microstructures in EpCAM-deleted GC cells (EpCAM-/-SGC7901) were detected to evaluate the rules EpCAM played. Results: The results showed that EpCAM deletion caused cell proliferation, motility and the development of motility-relevant microstructures inhibited significantly, apoptotic trend and contact inhibition enhanced in EpCAM-deleted GC cells. The results of western blot suggested that EpCAM modulates the expression of epithelial/endothelial mesenchymal transition (EMT) correlated genes. All results as above indicated that EpCAM plays important roles to enhance the oncogenesis, malignancy and progression as a GC enhancer. Conclusions: Combining our results and published data together, the interaction of EpCAM with other proteins was also discussed and concluded in the discussion. Our results support that EpCAM can be considered as a novel target for the diagnosis and therapy of GC in future. [ABSTRACT FROM AUTHOR]

Quantum communication network scales point-to-point quantum communication protocols to more than two detached parties, which would permit a wide variety of quantum communication applications. Here, we demonstrate a fully-connected quantum communication network, exploiting three pairs of Einstein—Podolsky—Rosen (EPR) entangled sideband modes, with high degree entanglement of 8.0 dB, 7.6 dB, and 7.2 dB. Each sideband modes from a squeezed field are spatially separated by demultiplexing operation, then recombining into new group according to network requirement. Each group of sideband modes are distributed to one of the parties via a single physical path, making sure each pair of parties build their own private communication links with high channel capacity better than any classical scheme. [ABSTRACT FROM AUTHOR]

(1) Background--The separation of enterprises from administration and the continuous promotion of the policy of total ban on logging forced the state-owned forest industry enterprises to implement strategic transformation. However, due to the long-term backward management system caused by historical tradition and the positioning problem of resource-based enterprises with dual attributes of economy and public welfare, the state-owned forest industry enterprises are faced with multiple resource constraints such as proprietary technology, talents, brands and funds during the strategic transformation. (2) Methods--This paper obtains the data and proof materials needed by the research through in-depth interviews, field investigations and collection of documents, and discusses the process mechanism of value transition of the state-owned forest industry enterprises under resource constraints from the perspective of resource bricolage. (3) Results--First, multi-dimensional resource constraints such as technology, talents and brands have stimulated the cognitive change of senior managers of the state-owned forest industry enterprises and promoted the formation of new strategic cognition. The improvement of senior managers' cognition accelerates the focus of corporate strategy, and then gradually promotes the success of corporate strategic transformation. This process of strategic transformation is the logical process of the path of "strategic cognition, resource action and value realization", and also the microprocess of interaction, matching and dynamic adaptation among "strategic cognition, resource action and value realization". Second, in the process of enterprises breaking through resource constraints to achieve value transition, resource bricolage can make up for the disadvantages of enterprises' resources and break the constraints of their own resources, which is an effective means for enterprises to break through the resource dilemma. However, the speed and quality of resource bricolage are affected by the cooperative consciousness of enterprise alliance and the strategies of their own resources. Third, resource bricolage does not necessarily lead to resource empowerment and value transition, which depends on the integration and absorption ability of the enterprises to the bricolage resources. Effective resource integration ability can achieve systematic empowerment achievements in the aspects of technology, products and business models, which is a prerequisite for enterprises to realize value transition. In addition, organizational learning ability and communication ability can significantly inhibit the conflicts in resource integration, form a conflict suppression mechanism, and thus improve the empowerment effect of resource integration. (4) Conclusions and Discussions--Conclusions and Discussions--First, in the face of resource constraints, the senior managers of the state-owned forest industry enterprises should actively respond, fully face up to and effectively play their positive roles in promoting strategic change with an open mind. Second, pay attention to the matching of resource action strategies and strategic cognition to ensure that the internal resource strategies, external resource strategies and internal and external resource integration strategies of the enterprises can support the realization of the enterprises' strategic vision. Third, actively create the conditions to promote "from resource bricolage to the realization of value transition" through the construction of open corporate culture, the utilization strategy of its own advantageous resources and the construction of a learning organization, so as to shorten the cycle of "from resource bricolage to the realization of value transition". Fourth, attach great importance to the choice of differentiation focus strategy in the process of pursuing value transition, especially focus on concentrating all available resources inside and outside the enterprises to provide differentiated products with distinctive industry characteristics in the market segments. Fifth, promote the high quality development of industrial economy of the state-owned forest industry enterprises with the whole process management thought. [ABSTRACT FROM AUTHOR]

Benzoic acid and its derivative benzoate are widely utilized as food preservatives. This paper presents a highly sensitive method for detecting benzoic acid using a cross-shaped aluminum resonator integrated on top of a polyimide substrate. The resonance dip for benzoic acid was designed to be at 0.93 THz. The terahertz (THz) transmission spectrum was simulated using a designed structure with varying thicknesses of benzoic acid. Analysis of the spectral response of the THz resonance dips to the thickness of the benzoic acid layer shows that the amplitude of the resonance dips generally increases with an increase in the benzoic acid concentration. The spectral frequency shifts and transmission intensities both demonstrate high sensitivity of the metasurface sensor to trace benzoic acid thicknesses. The sensor exhibits a sensitivity of approximately 0.247 THz/RIU (Refractive Index Unit) and FOM (figure of merit) of 3.927/RIU. The THz metasurface sensor is a fast and accurate sensing tool that can detect trace substances, making it crucial in the field of food safety. [ABSTRACT FROM AUTHOR]

Simple Summary: The metabolic heterogeneity complicates the clinical treatment of hepatocellular carcinoma. In this study, we classified hepatocellular carcinoma into two clusters based on their energy metabolic pathways' activities. We found this classification system correlated with several clinical characteristics and molecular profiles of liver cancer patients. We also proposed and validated targeted metabolic therapy by exploiting human liver cancer cell lines. Additionally, we revealed that cancer cells might impair the anti-tumor function of cytotoxic T cells through metabolic competition. Metabolic heterogeneity plays a key role in poor outcomes in malignant tumors, but its role in hepatocellular carcinoma (HCC) remains largely unknown. In the present study, we aim to disentangle the metabolic heterogeneity features of HCC by developing a classification system based on metabolism pathway activities in high-throughput sequencing datasets. As a result, HCC samples were classified into two distinct clusters: cluster 1 showed high levels of glycolysis and pentose phosphate pathway activity, while cluster 2 exhibited high fatty acid oxidation and glutaminolysis status. This metabolic reprogramming-based classifier was found to be highly correlated with several clinical variables, including overall survival, prognosis, TNM stage, and -fetoprotein (AFP) expression. Of note, activated oncogenic pathways, a higher TP53 mutation rate, and increased stemness were also observed in cluster 1, indicating a causal relationship between metabolic reprogramming and carcinogenesis. Subsequently, distinct metabolism-targeted therapeutic strategies were proven in human HCC cell lines, which exhibit the same metabolic properties as corresponding patient samples based on this classification system. Furthermore, the metabolic patterns and effects of different types of cells in the tumor immune microenvironment were explored by referring to both bulk and single-cell data. It was found that malignant cells had the highest overall metabolic activities, which may impair the anti-tumor capacity of CD8+ T cells through metabolic competition, and this provided a potential explanation for why immunosuppressive cells had higher overall metabolic activities than those with anti-tumor functions. Collectively, this study established an HCC classification system based on the gene expression of energy metabolism pathways. Its prognostic and therapeutic value may provide novel insights into personalized clinical practice in patients with metabolic heterogeneity. [ABSTRACT FROM AUTHOR]

Introduction: The association between diabetes mellitus (DM) and risk of osteoarthritis (OA) is inconsistent based on published observational studies. This study aimed to conduct a two-sample Mendelian randomization (MR) analysis to explore the causal link between glycated hemoglobin (HbA1c) level and OA risk. Methods: Genome-wide association studies (GWAS) summary statistics were obtained from the publicly available Integrative Epidemiology Unit (IEU) OpenGWAS database. A series of screening processes were performed to select qualified instrumental single-nucleotide polymorphisms (SNPs) strongly related to exposure. The inverse-variance-weighted method, weighted-median method, and MR–Egger method were performed to ensure robust and reliable results. The MR–Egger intercept test, Cochran's Q test, and the leave-one-out sensitivity analysis were utilized to assess the horizontal pleiotropy, heterogeneities, and stability of these genetic variants for OA. Odds ratio (OR) and 95% confidence interval (CI) were calculated. Results: MR analyses found a robust causal association of genetically determined HbA1c with knee OA (OR = 1.561; 95% CI 1.110–2.197; P = 0.011), but not with hip OA (OR = 1.073; 95% CI 0.674–1.710; P = 0.766) or overall OA (OR = 1.141; 95% CI 0.904–1.441; P = 0.804). Sensitivity analyses showed that there was a strong association between SNPs and HbA1c (F = 21.138), no evidence of heterogeneity (Q = 150.625, P = 0.402), and no potential SNPs affecting the causal link. Conclusion: Our MR study supported a causal effect of genetically increased HbA1c on knee OA risk. [ABSTRACT FROM AUTHOR]

Objective: To observe the clinical features and efficacy of immunosuppressive therapy in patients with primary Sjögren's syndrome (PSS) combined with peripheral neuropathy (PN) syndrome and to explore the risk factors for PN in patients with PSS. Methods: Sixty consecutive patients with PSS admitted to the Department of Rheumatology and Immunology, Wuhan No. 1 Hospital, from January 2014 to June 2020 were analysed retrospectively. Patients were divided into a PN group (N = 15) and a non-PN group (N = 45). The clinical characteristics of the two groups were compared, and the independent risk factors for PN combined with PSS were analysed by multivariate logistic regression. The patients with PSS combined with PN were followed up to observe the effect of immunosuppressive therapy. Results: The patients with PN had a longer course of disease than those without PN (z = − 3.225, P = 0.001), and the incidence of Raynaud's phenomenon, anti-SSB antibody, rheumatoid factor and hyperglobulinaemia was higher (all P < 0.05) in patients with PN than in those without PN. Multivariate logistic regression analysis showed that hyperglobulinaemia, RF and anti-SSB antibodies were independent risk factors for PN with PSS (P < 0.05). Fourteen patients with PSS-PN were treated with immunosuppressants. The clinical symptoms of 10 patients were relieved, and mRS scores of 10 patients were decreased. Conclusion: PN is a common complication in PSS patients. Patients with PSS combined with PN have a longer course of disease and a significantly higher percentage of Raynaud's phenomenon, positive anti-SSB antibody, positive RF and hyperglobulinaemia. Immunosuppressive therapy was effective for partial remission of PN with PSS. [ABSTRACT FROM AUTHOR]

CsPbIBr2 has shown great potential in the optoelectronics field due to its well‐balanced relationship between bandgap and durability among all‐inorganic perovskites materials. However, the CsPbIBr2 thin films prepared by the traditional one‐step spin coating method suffer from unsatisfactory morphology, poor crystallinity, and high defect density, which lead to the degradation of device performance. Herein, a simple preannealing method is used to form unstable transition films which are then annealed at high temperature to obtain CsPbIBr2 perovskite films with uniform morphology, free pinholes, and strong crystallinity. The performance of the device can be effectively improved due to the reduction of defects and the optimization of the contact between functional layers. Therefore, the power conversion efficiency of 9.6% is obtained, which is nearly 100% improvement compared with that of the control device. [ABSTRACT FROM AUTHOR]

Deep autoencoder (AE) networks show a powerful ability for geochemical anomaly identification. Because of little contribution to the AE network, small probability samples (again, please check this) having comparatively high reconstructed errors can be recognized by the trained model as anomalous samples. However, different autoencoder networks have different abilities for anomaly identification. To test these methods for geochemical anomaly identification, we based our study on stream sediment data of the Cu‐Zn‐Ag metallogenic area in southwest Fujian province as samples. Three unsupervised deep learning models: the autoencoder (AE), multi‐convolutional autoencoder (MCAE), and fusion convolutional autoencoder (FCAE), were used to extract the combined structural, spatial distribution, and mixed features of multiple‐elements. The results showed that the anomalous area delineated by the FCAE model had the best consistency with the known copper mineral occurrences, followed by the MCAE and AE models, with area under the curve values (AUC) of 0.80, 0.78, and 0.61, respectively. FCAE and AE were insensitive to changes in convolution window size, while MCAE extracted more spatial distribution or mixed features. Overall, FCAE focused more on structural distribution or mixed features, combining the advantages of both MCAE and AE. Therefore, FCAE performed best among the three deep learning methods. This study provides a practical basis for selecting and constructing geochemical anomaly recognition models based on deep learning algorithms. Plain Language Summary: The recognition of abnormal geochemical concentrations of elements is important for mineral exploration, and deep learning method is a novel way to accomplish this task. Deep learning methods can extract multifeature information from the geological environment, which effectively improves the efficiency of mineral prospecting. Here, we employed three unsupervised deep learning models to extract the integrated structure, spatial distribution, and mixed features of multiple elements. This study analyzes the characteristics of deep learning models with different network structures, thus it provides a practical basis for selecting a method to recognize abnormal geochemical concentrations of elements. Key Points: The combined structural features extracted by deep learning algorithms have a strong anti‐interference ability for noiseProvides a practical approach for constructing geochemical anomaly recognition models based on deep learning algorithmsComprehensively analyzes the characteristics of three deep learning models for geochemical anomaly identification [ABSTRACT FROM AUTHOR]

Determination of malignancy in thyroid nodules remains a major diagnostic challenge. Here we report the feasibility and clinical utility of developing an AI-defined protein-based biomarker panel for diagnostic classification of thyroid nodules: based initially on formalin-fixed paraffin-embedded (FFPE), and further refined for fine-needle aspiration (FNA) tissue specimens of minute amounts which pose technical challenges for other methods. We first developed a neural network model of 19 protein biomarkers based on the proteomes of 1724 FFPE thyroid tissue samples from a retrospective cohort. This classifier achieved over 91% accuracy in the discovery set for classifying malignant thyroid nodules. The classifier was externally validated by blinded analyses in a retrospective cohort of 288 nodules (89% accuracy; FFPE) and a prospective cohort of 294 FNA biopsies (85% accuracy) from twelve independent clinical centers. This study shows that integrating high-throughput proteomics and AI technology in multi-center retrospective and prospective clinical cohorts facilitates precise disease diagnosis which is otherwise difficult to achieve by other methods. [ABSTRACT FROM AUTHOR]

The spatial structure of geochemical patterns is influenced by various geological processes, one of which may be mineralization. Thus, analysis of spatial geochemical patterns facilitates understanding of regional metallogenic mechanisms and recognition of geochemical anomalies related to mineralization. Convolutional neural networks (CNNs) used in previous studies to extract spatial features require regular data (e.g., raster maps) as input. Due to the complex and diverse geological environment, geochemical samples are inevitably irregularly distributed and even partially missing in many spaces, leading to the inapplicability of CNN-based methods for geochemical anomaly identification. Also, interpolation from samples to regular grids often introduces uncertainties. To address these problems, this study innovatively transformed geochemical sampled point data into graphs and introduced graph learning to extract the geochemical patterns. Correspondingly, a novel framework of geochemical identification named GAUGE (recognition of Geochemical Anomalies Using Graph lEarning) is proposed. To assess the performance of the proposed method, this study recognized anomalies related to Au deposits in the Longyan area, the Wuyishan polymetallic metallogenic belt, China. For a set of regularly distributed samples, GAUGE achieved an accuracy similar to that of a traditional convolution autoencoder. More importantly, GAUGE achieved an area under the curve of 0.833, outperforming one-class support vector machine, isolation forest, autoencoder, and deep autoencoder network for a set of irregularly distributed samples by 10.6, 5.2, 4.8, and 2.5%, respectively. By introducing graph learning into geochemical anomaly recognition, this study provides a new perspective of extracting both spatial structure and compositional relationships of multivariate geochemical patterns, which can be applied directly to irregularly distributed samples in irregularly shaped regions without the need for interpolation. Such an improvement greatly enhances the applicability of machine learning methods in geochemical anomaly recognition, providing support for mineral resources evaluation and exploration. [ABSTRACT FROM AUTHOR]

Determination of malignancy in thyroid nodules remains a major diagnostic challenge. Here we report the feasibility and clinical utility of developing an AI-defined protein-based biomarker panel for diagnostic classification of thyroid nodules: based initially on formalin-fixed paraffin-embedded (FFPE), and further refined for fine-needle aspiration (FNA) tissue specimens of minute amounts which pose technical challenges for other methods. We first developed a neural network model of 19 protein biomarkers based on the proteomes of 1724 FFPE thyroid tissue samples from a retrospective cohort. This classifier achieved over 91% accuracy in the discovery set for classifying malignant thyroid nodules. The classifier was externally validated by blinded analyses in a retrospective cohort of 288 nodules (89% accuracy; FFPE) and a prospective cohort of 294 FNA biopsies (85% accuracy) from twelve independent clinical centers. This study shows that integrating high-throughput proteomics and AI technology in multi-center retrospective and prospective clinical cohorts facilitates precise disease diagnosis which is otherwise difficult to achieve by other methods. [ABSTRACT FROM AUTHOR]

Anomaly identification is important to ensure the safe and stable operation of oil pipelines and prevent leaks. Leak identification is performed to divide abnormal samples from normal oil transfer samples in monitoring data, and it is a dichotomous problem. However, the traditional machine learning binary classification method is no longer suitable for identifying leak anomalies in complex production environments. The main problem is that leaks in production environments are very rare, and traditional methods cannot directly identify the leaking pattern with their generalizability. The recognized normal pattern lacks the ability to adapt to dynamic environmental changes and an artificial adjustment of the pump frequency, instrument calibration, and other monitoring data mutations. These are known as false anomalies, and they are difficult to distinguish from true anomalies. This results in a lower recall rate for leak anomaly identification and a higher rate of false positives. To solve this problem, this study proposes a leak anomaly recognition method based on the distinction between true and false anomalies. A one-class SVM is used to learn the normal working mode of oil pipelines, and the model is used to screen out suspected pipeline anomalies, namely, true and false anomalies. It increases the morphological difference between true and false anomaly curves by superimposing multisource data and uses similarity clustering to discover anomaly patterns that indicate leak events. The results show that the leakage anomaly recall rate is 100%, and the false anomaly exclusion rate is 83.49%. This method achieves real-time and efficient monitoring of pipeline leaking events in complex production environments, and it is practical for the application of machine learning methods in production environments. [ABSTRACT FROM AUTHOR]

Objectives: Ovarian cancer is one of the most fatal gynecological malignancies. It is emergently needed to select a novel molecular fragment as a targeting element for the future development of molecular imaging diagnosis and targeting chemotherapy to ovarian cancer. Results: After five rounds of biopanning, a total of 44 positive phage clones were selected from final phage displayed peptide library. Nine consensus sequences were found based on the assay of sequencing results, then one clone of each consensus group was characterized and identified further by immunofluorescence assay. The result showed the phage clone R20 presents best targeting capacity. Then we synthesized peptide (OSP2) clone R20 displayed, it was characterized with high specificity and sensitivity binding to human ovarian cancer by a tissue chip assay. The target of OSP2 was predicted and docked as human carbonic anhydrase XII (CA12), an important protein usually deregulated in cancer. Conclusions: Taken together, OSP2 and its target indicate a novel investigation way in future to develop novel agent or drug delivery formulation for molecular imaging diagnosis and targeting chemotherapy of ovarian cancer. [ABSTRACT FROM AUTHOR]

Extreme temperature events are becoming more frequent due to global warming, and have critical effects on natural ecosystems, social and economic spheres, human production and life. Predicting changes in temperature extremes and trends under future climate scenarios helps to assess the impact of climate change accurately. Based on climate observations from 54 meteorological stations in the North China Plain and the projection data from seven general circulation models (GCMs) from the Coupled Model Intercomparison Project phase 6 (CMIP6), this paper researches nine representative extreme temperature indices under four typical climate scenarios. The aim is to reveal the temporal and spatial variations in extreme temperature indices in the North China Plain during the past (1971–2010) and the future (2061–2100). The results show that: using a support vector machine (SVM) to perform regression analysis on the multi-GCMs prediction results, the root mean square error (RMSE) and relative standard deviation (RSD) of the multi-model ensemble simulations obtained by the SVM method are lower than those of the arithmetic mean method and can better match the trend of the historical extreme temperature index; the extreme high temperature index is predicted to show a significant upward trend in the future, while the extreme low temperature index will decrease significantly; and there are significant spatial differences in the extreme temperature index in both historical and future periods, with the extreme temperature index under the high radiation forcing scenario (SSP585) showing the most considerable variation and the most significant spatial differences. [ABSTRACT FROM AUTHOR]

Quantum repeater is a key component of quantum network, and atomic memory is one of the important candidates for constructing quantum repeater. However, the atomic transition wavelength is not suitable for long-distance transmission in optical fiber. To bridge atomic memory and fiber communication, we demonstrate a frequency conversion interface from rubidium D1 line (795 nm) to the optical communication L-band (1621 nm) based on difference frequency generation. To reduce broadband noise of spontaneous Raman scattering caused by strong pumping light, we use a combination of two cascaded etalons and a Fabry-Perot cavity with low finesse to narrow the noise bandwidth to 11.7 MHz. The filtering system is built by common optical elements and is easy to use; it can be widely applied in frequency conversion process. We show that the signal-noise ratio of the converted field is good enough to reduce the input photon number below 1 under the condition of low external device conversion efficiency (0.51%) and large duration of input pulse (250 ns). The demonstrated frequency conversion interface has important potential application in quantum networks. [ABSTRACT FROM AUTHOR]

Background: Former single center studies indicated that HER2 assessment with two primary tumor blocks (dual block HER2 assessment) could be an efficient and practical approach to overcome the adverse impact of heterogeneity and acquire a HER2 positive rate in gastric cancer (GC). This multicenter prospective clinical trial (NCT 02843412) was launched to verify its value and generality. Methods: A total of 3806 participants with primary GCs have been enrolled from 8 hospitals in China. Two primary tumor blocks were selected and recorded as block 1 and block 2 after histological evaluation. An HER2 (4B5) rabbit monoclonal antibody was used for the immunohistochemistry (IHC) analysis. Results: In total patients, HER2 IHC positive (3+) rate with dual block assessment (9.4%) was higher than that with single block assessment (block 1: 7.8%, block 2: 7.8%) (P < 0.001). Compared with single-block assessment, dual-block assessment increased the positive rate by approximate 20%. Similarly, HER2 equivocal (2+) rate was increased in dual block assessment (25.8%), which was higher than that in single block assessment (block 1: 20.3%, block 2: 20.9%) (P < 0.001). Conversely, dual block assessment demonstrated a lower HER2 negative (0/1+) rate (64.8%) than single block assessment (block1: 71.9%, block 2: 71.3%) (P < 0.001). These findings were also confirmed in individual hospitals. Conclusions: Dual block HER2 assessment effectively increased HER2 IHC positive rate in resected specimens of GC. We recommended dual block HER2 assessment be promoted in routine clinical practice in GC. Trial registration: ClinicalTrials.gov, NCT 02843412. Registered 1 July 2016 - Retrospectively registered. [ABSTRACT FROM AUTHOR]

This study examines the relationship between the carbon emissions trading scheme (ETS) and corporate environmental investments. Using a panel data set of Chinese listed firms from 2010 to 2018, we find that the ETS implementation leads to a significant increase in corporate environmental investments. Furthermore, our path analysis shows that the ETS can help improve corporate environmental and financial performance through its impact on environmental investments. Finally, we find that the positive effect of the ETS is more pronounced for firms participating in carbon markets with higher liquidity, for firms facing higher regulatory pressure, and for those that are less able to pass through emissions costs to customers. Overall, the results provide evidence on the effectiveness of China's ETS in driving environmental investments. [ABSTRACT FROM AUTHOR]

In urban environmental management and public health evaluation efforts, there is an urgent need for fine-grained urban air quality monitoring. However, the high price and sparse distribution of air quality monitoring equipment make it difficult to develop effective and comprehensive fine-scale monitoring at the city scale. This has also led to air quality estimation methods based on incomplete monitoring data, which lack the ability to detect urban air quality differences within a neighborhood. To address this problem, this study proposes a refined urban air quality estimation method that fuses multisource spatio-temporal data. Based on the fact that urban air quality is easily affected by social activities, this method integrates meteorological data with urban social activity data to form a comprehensive environmental data set. It uses the spatio-temporal feature extraction model to extract the multi-source spatio-temporal features of the comprehensive environmental data set. Finally, the improved cascade forest algorithm is used to fit the relationship between the multisource spatio-temporal features and the air quality index (AQI) to construct an air quality estimation model, and the model is used to estimate the hourly PM2.5 index in Beijing on a 1 km × 1 km grid. The results show that the estimation model has excellent performance, and its goodness-of-fit (R2) and root mean square error (RMSE) reach 0.961 and 17.47, respectively. This method effectively achieves the assessment of urban air quality differences within a neighborhood and provides a new strategy for preventing information fragmentation and improving the effectiveness of information representation in the data fusion process. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "The high expression of FOXE1 in colorectal cancer predicts a promising prognosis: a retrospective study." The correction states that there was an error in Table 1 of the original article, and provides the corrected version of the table. The corrected table shows the relationship between FOXE1 expression and various clinicopathological parameters. The correction also mentions that there was no significant correlation between sex, age, location, and overall survival in the univariate survival analysis of clinicopathological parameters. The publisher remains neutral regarding jurisdictional claims and institutional affiliations. [Extracted from the article]

Background: Extraosseous benign notochordal cell tumor is extremely rare, and there are only five reported cases worldwide. The presented case of pulmonary primary benign notochordal cell tumor is the sixth case, but the first to report the deletion mutation of EGFR gene exon 19. Case presentation: The patient was a 50-year-old asymptomatic woman, who had been followed up for 3 years for a nodule in the right lung. After ten months of the wedge resection, the patient is alive without evidence of recurrence or metastasis. The tumor was 7 mm in diameter and was well demarcated. The tumor was consisted of a sheet of large round vacuolated cells with small and bland nuclei. No connective tissue containing blood vessels or inflammatory cell infiltration was detected in the stroma. The tumor was positive for CK AE1/AE3, Vimentin, S100 and Brachyury. EGFR gene mutation and amplification were not detected. Conclusions: We firstly reported the positive immunohistochemical staining for EGFR and the negative molecular results of EGFR gene of pulmonary primary benign notochordal cell tumor. Due to the rarity of this tumor, more reports are needed to explore pathological characteristics, especially the molecular characteristics, in order to better understand the nature of tumors. [ABSTRACT FROM AUTHOR]

Making low GI of the Chinese steamed bread (CSB) with acceptable eating quality is a challenge. A CSB prepared from wheat flour partially substituted by lotus root powder (LRP) showed good prospects. RVA profile and texture profile were determined to evaluate the texture, while animal test were used to confirm the bio-functional attributes. The addition of LRP effectively changed the RVA profile of lotus-wheat incorporated flour (LWIF). CSB prepared from 30% LWIF showed acceptable eating quality with higher springiness, cohesiveness, and recovery while lower hardness. After 12 weeks of 30% LWIF administrating, the fast blood glucose of diabetic rat decreased from 17.6 to 5.8 mmol/L together with the reduction of serum TC, TG and LDL-C. The hepatic histopathological examination and serum levels changes of SOD, CAT and FFA confirmed LWIF could effectively protect the liver of the diabetic rats from damage caused by oxidative stress. [ABSTRACT FROM AUTHOR]

The proximate composition, molecular weight distribution and main processing properties of waxy corn flour (WCF) were investigated. Furthermore, waxy corn starch (WCS) and waxy rice flour (WRF) were also determined to discuss the applications of WCF. WCS contained more low-molecular-weight fraction (<5 × 105 g/mol) and had higher polydispesity than waxy rice starch (WRS). The water hydration capacity of WCF was the lowest, whereas it had the highest swelling power at 70 and 80 °C. WCF had the highest pasting temperature of 74.85 °C, whereas that of WRF was 68.40 °C and WCS was 73.25 °C. WRF exhibited the lowest melting enthalpy change with a value of 2.54 ± 0.11 (J/g). The retrogradation resistance of WCF was better than that of WRF and WCS. The degree of retrogradation (DR) of WCF was 9.58 ± 0.59% at 14 d, corresponding to WCS of 25.08 ± 0.44% and WRF of 15.68 ± 0.71%. WRF had the lowest glass transition temperature of −27.4 versus −26.2 °C for WCF and −26.0 °C for WCS. It was found that WCF could be used to directly prepare quick-frozen viscous foods. It could also be used as a stabilizer to improve the quality of staple foods. [ABSTRACT FROM AUTHOR]

Purpose: While the bring-your-own-device (BYOD) trend provides benefits for employees, it also poses security risks to organizations. This study explores whether and how employees decide to adopt BYOD practices when they encounter information security–related conflict. Design/methodology/approach: Using survey data from 235 employees of Chinese enterprises and applying partial least squares based structural equation modeling (PLS-SEM), we test a series of hypotheses. Findings: The results suggest that information security–related conflict elicits information security fatigue among employees. As their information security fatigue increases, employees become less likely to adopt BYOD practices. In addition, information security–related conflict has an indirect effect on employee's BYOD adoption through the full mediation of information security fatigue. Practical implications: This study provides practical implications to adopt BYOD in the workplace through conflict management measures and emotion management strategies. Conflict management measures focused on the reducing of four facets of information security–related conflict, such as improve organization's privacy policies and help employees to build security habits. Emotion management strategies highlighted the solutions to reduce fatigue through easing conflict, such as involving employees in the development or update of information security policies to voice their demands of privacy and other rights. Originality/value: Our study extends knowledge by focusing on the barriers to employees' BYOD adoption when considering information security in the workplace. Specifically, this study takes a conflict perspective and builds a multi-faceted construct of information security–related conflict. Our study also extends information security behavior research by revealing an emotion-based mediation effect, that of information security fatigue, to explore the mechanism underlying the influence of information security–related conflict on employee behavior. [ABSTRACT FROM AUTHOR]

The polyphenol distribution in fresh waxy corns of different color varieties and their functional activities, which may be useful for treating various chronic diseases, were investigated. The in vitro antioxidant activity, and hypoglycemic and hypocholesterolemic effects of the free and bound corn phenolics were determined to evaluate the edible value of fresh waxy corn. The colored varieties contained more phenols than the common varieties (white and/or yellow). The total free phenolic acid content of the six varieties was 6637.73 µg/g DW (dry weight), which was slightly higher (P > 0.05) than that of the total bound form (6276.65 µg/g DW). The total free flavonoid content was 5850.09 µg/g DW, which was higher (P < 0.05) than that of the total bound form (4874.51µg/g DW). No bound anthocyanin was detected in the methanol extracts of the tested varieties. For all the varieties, free polyphenols contributed 86−100 % and 70−78 % of the 2, 2-diphenyl-1-picrylhydrazyl (DPPH) and hydroxyl radical scavenging abilities, respectively, and 100 % of the ferric reducing capacity. The free phenolics in fresh waxy corn showed better (P < 0.05) hypoglycemic effect than the bound form in terms of inhibition of α-amylase activity, whereas the bound phenolics of most varieties showed higher α-glucosidase inhibitory activity than the free forms. The free phenolics showed better (P < 0.05) glycocholesterol binding than the bound form for all varieties. The bound polyphenols showed better sodium cholate and taurocholate binding than the free form for most varieties. In conclusion, the difference between free and bound polyphenol content and functional activities indicates that fresh waxy corn can be potentially used for the development of functional food. [ABSTRACT FROM AUTHOR]

Waste drill cuttings (WDCs), produced during gas and oil drilling consisting of 80% rock cuttings and 20% drilling muds, are an increasingly potent source of environmental pollution. We studied the efficiency of bioaugmentation and phytoremediation to remediate WDCs in an experiment where WDCs were incubated in a greenhouse for 120 days with and without black locust (Robinia pseudoacacia) plant and with or without bacterial and fungal consortium inoculant. The pollutant removal rates were highest in inoculated and planted treatment, followed by inoculated treatment and planted treatment. The small decrease in contaminant level in the control treatment suggested that indigenous microorganisms in WDCs had little pollutant degradation capability. In the inoculated and planted treatments, after 120 days, the germination rate of red clover seeds was on the same level as in the natural soil, showing a marked decrease in the ecotoxicity of WDC. Both the bacterial and fungal richness and bacterial diversity increased in all the treatments over time, whereas fungal diversity increased only in the not-inoculated treatments. The activity of laccase enzyme played a key role in the bioremediation process. The enzyme activities were mostly governed by inoculated consortium and soil bacterial community, and black locust affected the bioremediation mainly through its effect on N content that further affected bacterial and fungal communities. [ABSTRACT FROM AUTHOR]

This paper examines the dynamics, direction, and determinants of industry return predictability in Chinese stock markets during the period 1993–2015. Using the dynamic approach, we find that industry portfolio predictability is time varying and has wide variations across industries. Lagged returns in four industries (banking, real estate, leasing, and information technology) are positively associated with aggregate market returns, while lagged returns for traditional industries are largely inversely associated with market returns. Our findings are consistent with gradual information diffusion across economically-linked industries. The likelihood of industry predictability increases by 4.5–8% in a bull market over that in the bear market. Our results advise investors to distinguish industries and stock market conditions to better time the market. [ABSTRACT FROM AUTHOR]

Plants generate a plethora of secondary compounds (toxins) that potently influence the breadth of the breeding niches of animals, including Drosophila. Capsaicin is an alkaloid irritant from hot chili peppers, and can act as a deterrent to affect animal behaviors, such as egg laying choice. However, the mechanism underlying this ovipositional avoidance remains unknown. Here, we report that Drosophila females exhibit a robust ovipositional aversion to capsaicin. First, we found that females were robustly repelled from laying eggs on capsaicin-containing sites. Second, genetic manipulations show that the ovipositional aversion to capsaicin is mediated by activation of nociceptive neurons expressing the painless gene. Finally, we found that capsaicin compromised the health and lifespan of flies through intestinal dysplasia and oxidative innate immunity. Overall, our study suggests that egg-laying sensation converts capsaicin into an aversive behavior for female Drosophila, mirroring an adaptation to facilitate the survival and fitness of both parents and offspring. [ABSTRACT FROM AUTHOR]

The heterogeneities of colorectal cancer (CRC) lead to staging inadequately of patients' prognosis. Here, we performed a prognostic analysis based on the tumor mutational profile and explored the characteristics of the high‐risk tumors. We sequenced 338 colorectal carcinomas as the training dataset, constructed a novel five‐gene (SMAD4, MUC16, COL6A3, FLG and LRP1B) prognostic signature, and validated it in an independent dataset from The Cancer Genome Atlas (TCGA). Kaplan–Meier and Cox regression analyses confirmed that the five‐gene signature is an independent predictor of recurrence and prognosis in patients with Stage III colon cancer. The mutant signature translated to an increased risk of death (hazard ratio = 2.45, 95% confidence interval = 1.15–5.22, p = 0.016 in our dataset; hazard ratio = 4.78, 95% confidence interval = 1.33–17.16, p = 0.008 in TCGA dataset). RNA and bacterial 16S rRNA sequencing of high‐risk tumors indicated that mutations of the five‐gene signature may lead to intestinal barrier integrity, translocation of gut bacteria and deregulation of immune response and extracellular related genes. The high‐risk tumors overexpressed IL23A and IL1RN genes and enriched with cancer‐related bacteria (Bacteroides fragilis,Peptostreptococcus, Parvimonas, Alloprevotella and Gemella) compared to the low‐risk tumors. The signature identified the high‐risk group characterized by gut bacterial translocation and upregulation of interleukins of the tumor microenvironment, which was worth further researching. What's new? The heterogeneity of colorectal cancer makes it difficult to determine patients with a poor prognosis or in need of advanced therapy. Here, the authors constructed and validated a novel 5‐gene (SMAD4, MUC16, COL6A3, FLG, and LRP1B) mutational prognostic signature to identify high‐risk patients with Stage III colon cancer. Mutations of these five genes may lead to loss of intestinal barrier integrity, translocation of gut bacteria, and deregulation of interleukins and extracellular‐related genes. Combining tumor genetic characteristics with dynamic tumor microenvironment changes may lead to more promising prognostic signatures, which could help better select cancer patients for systemic therapy after surgery. [ABSTRACT FROM AUTHOR]

Nearly 50% of women of reproductive age worldwide experience premenstrual syndrome (PMS). Women with PMS exhibit low positive affect and low frontal electroencephalography asymmetry scores, both of which are associated with reward processing. These findings suggest that women with PMS may exhibit deficiencies in reward processing. A probabilistic reward task based on signal detection approach was used to assess reward responsiveness in 30 women with moderate-to-severe PMS and 31 controls without PMS. The results revealed that in the late luteal phase, the women with moderate-to-severe PMS exhibited lower response bias and lower hit rate toward more frequently rewarded stimuli (rich stimuli) than the controls. By contrast, the response bias and hit rate did not differ between the two groups in the follicular phase. The group differences still remained after controlling for anhedonic symptoms. Furthermore, trial-by-trial probability analyses revealed that women with moderate-to-severe PMS exhibited a trend of having a higher miss rate for rich stimuli than the controls. In particular, when a rich stimulus was preceded by an infrequently rewarded stimulus (a rewarded lean stimulus), participants in the PMS group exhibited a trend for higher miss rate than those in the control group in the late luteal and follicular phases. However, group differences in the probability analyses were nonsignificant after controlling for anhedonic symptoms. These results provide preliminary evidence that women with moderate-to-severe PMS exhibit dysfunctional reward responsiveness and impaired ability to modulate their behavior as a function of prior reinforcement. [ABSTRACT FROM AUTHOR]

Ultrafine-grained tungsten (UFG W) produced by severe plastic deformation technology has many potential applications due to its high strength and ductility. To reveal the mechanism for the high ductility of UFG W, the deformation and failure behaviors of coarse-grained tungsten (CG W) and UFG W have been compared based on a three-dimensional crystal plastic finite element method (CPFEM) simulation. Cohesive element method has been utilized to model the behavior of grain boundaries (GBs). Both plastic deformation in grain interiors and grain boundary opening have been observed in different periods of deformation in UFG W. It is concluded that the high GB density and elongated microstructure in the UFG W suppress crack propagation, decrease the stress concentration and impurity concentration on GBs, therefore enhance the ductility of the material. [ABSTRACT FROM AUTHOR]

Aims: Evidence indicates that curcumin seems to improve outcomes in non-alcoholic fatty liver disease (NAFLD). A meta-analysis was performed to evaluate the effects of curcumin inNAFLD. Methods: We searched PubMed, EMBASE, and the Cochrane Library from inception through March 2018 to identify randomized controlled trials (RCTs) evaluating the role of curcumin inNAFLD. The mean difference (MD) and 95% confidence interval (CI) were calculated. Results: Four RCTs with a total of 229 NAFLD patients were included. Curcumin was more likely to lower LDL-C, triglycerides, FBS, HOMA-IR, weight and AST levels compared with placebo, and the difference was statistically significant [MD = − 27.02, 95% CI (− 52.30, − 1.74); MD = − 33.20, 95% CI (− 42.30, − 24.09); MD = − 5.63, 95% CI (− 10.36, − 0.90); MD = − 0.53, 95% CI (− 1.00, − 0.05); MD = − 2.27, 95% CI (− 3.11, − 1.44); MD = − 7.43, 95% CI (− 11.31, − 3.54), respectively]. However, the beneficial effect of curcumin did not achieve statistical significance in lowering total cholesterol, HDL-C, HbA1c, ALT or insulin levels [MD = − 30.47,95% CI (− 60.89. − 0.06); MD = − 0.98, 95% CI (− 2.88, 0.92); MD = − 0.41, 95% CI (− 1.41, 0.59); MD = − 6.02, 95% CI (− 15.61, 3.57); MD = − 0.92, 95% CI (− 2.33, 0.49)]. Conclusions: Curcumin is effective in lowering LDL-C, triglycerides, FBS, HOMA-IR, weight, and AST levels in NAFLD patients, and it is well tolerated. Further RCTs are required to confirm our findings. [ABSTRACT FROM AUTHOR]

Intercity transportation infrastructures and services determine the depth and breadth of the spatial interactions among cities within an urban agglomeration, and have profound impacts on the spatial structure of the urban agglomeration. To evaluate whether the public intercity ground transportation infrastructures and services (i.e. passenger trains and long-distance buses) can support the integration and development of urban agglomerations, we propose a method for 'transportation cluster' detection (TCD), which has three unique features: (1) the K-shortest paths are used to quantify the proximity between cities, which is more in line with people's travel behaviors; (2) a dendrogram is obtained through hierarchical clustering to reveal the structural hierarchies of transportation clusters; and (3) the integration of geo-modularity and hierarchical clustering assures high strength of division of transportation networks. The proposed TCD method was applied to the network of passenger trains, the network of long-distance buses, and the combined network of both in mainland China, respectively. By comparing the resultant transportation clusters with the urban agglomerations delineated by the Chinese government, cities that have weak transportation connections with other cities within an urban agglomeration were identified, and such findings could help devise transportation planning to better support the integrated development of urban agglomerations. [ABSTRACT FROM AUTHOR]

To analyze the anti-tumor mechanism of Baicalin in human colon cancer. The MTT assay and colony formation assay demonstrated that Baicalin treatment inhibits the proliferation of DLD1 and HCT-116 cells. The apoptosis rates were induced upon Baicalin treatment and which was determined by FACS. The qPCR and western blot analysis showed that Baicalin promotes expression of DKK1 (Dickkopf), an important antagonist of Wnt signaling pathway, thereby reduces the expression of its downstream protein β-catenin and c-Myc. Reduction of DKK1 expression by siRNA attenuates β-catenin and c-Myc expression. microRNA-217 (miR-217) is decreased upon Baicalin treatment. Moreover, DKK1 is identified as the direct downstream target gene of miR-217 through the dual-luciferase reporter assay. miR-217/DKK1-mediated inhibition of Wnt signaling pathway participate in apoptosis induced by Baicalin. [ABSTRACT FROM AUTHOR]