Study the Plant Design Of City Strand Water Space ÉTUDE DE LA CONCEPTION DES INSTALLATIONS DE NORMES D’EAU DANS L'ESPACE URBAINE

The environment view more and more pays attention to water body and have no water ineffective, but strand water space design in the view in have become a necessary link. The plant allocation of strand water in the city grass also wants to pay attention to be reasonable of match, processing very the wonderful pen then living a flower, whereas indescribable then. This text mainly introduced the meaning of strand water view design in checking the foundation of related data and put forward the concept of strand water plant and to the understanding of the strand water space plant landscape .From the strand water space plant landscape art, the application of strand water plant and it elaborates the plant view in strand water space at main allocation method etc. in the park. Key words: Strand water space of city; Plant design; Way to planning; The art of design Résumé: L'environnement voir plus et plus attentive à l'eau et le corps n'ont pas d'eau inefficace, mais la conception d'espace brin d'eau dans la vue en sont devenus un lien nécessaire. La répartition des plantes d'eau dans l'herbe brin ville veut aussi faire attention à être raisonnables du match, un traitement très belle plume qui vivait alors une fleur, alors indescriptible alors. Ce texte introduit notamment le sens de la conception de visualiser brin d'eau dans la vérification de la Fondation de données liées et de mettre en avant le concept de l'usine d'eau brin et à la compréhension du paysage brin d'eau de l'usine de l'espace. De l'art brin d'eau de l'espace paysage végétal, l'application de l'usine d'eau brin et il élabore la vue des plantes dans l'espace de l'eau au fil etc principale méthode d'allocation dans le parc. Mots clés: L’espace d’éteincelle aquatique de ville; La conception de l'usine; Le moyen de la planification; L'art du desig

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision

Joint representation learning of words and entities benefits many NLP tasks, but has not been well explored in cross-lingual settings. In this paper, we propose a novel method for joint representation learning of cross-lingual words and entities. It captures mutually complementary knowledge, and enables cross-lingual inferences among knowledge bases and texts. Our method does not require parallel corpora, and automatically generates comparable data via distant supervision using multi-lingual knowledge bases. We utilize two types of regularizers to align cross-lingual words and entities, and design knowledge attention and cross-lingual attention to further reduce noises. We conducted a series of experiments on three tasks: word translation, entity relatedness, and cross-lingual entity linking. The results, both qualitatively and quantitatively, demonstrate the significance of our method.Comment: 11 pages, EMNLP201

Anti-diabetic effect of a monoamine oxidase inhibitor (tranylcypromine) in rats with poorly-controlled blood glucose levels: A potential and novel therapeutic option for diabetes

Purpose: To determine the anti-diabetic effect of a monoamine oxidase inhibitor (tranylcypromine) in sulphonyl urea-refractory rats with poorly-controlled blood glucose levels.Methods: Alloxan-induced diabetic Wistar rats were assigned to two groups (30 rats/group). One group received glibenclamide at a dose of 0.6 mg/kg, while the other group was given monoamine oxidase inhibitor (tranylcypromine) at a dose of 5 mg/day. The two groups were treated for 2 weeks. Blood samples were collected at baseline (before treatment) and at the end of treatment for determination of plasma glucose (fasting and fed), hemoglobin A1c, lipid profiles (serum total cholesterol, very-lowdensity lipoprotein, low-density lipoprotein, high-density lipoprotein and triglycerides); oxidative stress parameters (anti-oxidant enzymes), insulin levels, and some hepatic enzymes of glucose metabolism.Results: Monoamine oxidase inhibitor treatment resulted in significant decrease in the levels of blood glucose, HbA1c, and lipid levels from baseline, relative to glibenclamide (p < 0.05). Greater improvements in oxidative stress biomarkers (glutathione and superoxide dismutase), insulin levels and hepatic enzymes of glucose metabolism were observed in monoamine oxidase inhibitor group than in glibenclamide group (p < 0.05). Oxidative stress was significantly inhibited by monoamine oxidase inhibitor via increases in glutathione (GSH) level and superoxide dismutase (SOD) activity, when compared to glibenclamide (p < 0.05).Conclusion: These results suggest that monoamine oxidase inhibitor may be a better treatment option for diabetes than glibenclamide. Keywords: Diabetes, Monoamine oxidase inhibitor, Glibenclamide, Sulphonyl urea, Poorly-controlledblood glucos

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

Diverse human motion prediction aims at predicting multiple possible future pose sequences from a sequence of observed poses. Previous approaches usually employ deep generative networks to model the conditional distribution of data, and then randomly sample outcomes from the distribution. While different results can be obtained, they are usually the most likely ones which are not diverse enough. Recent work explicitly learns multiple modes of the conditional distribution via a deterministic network, which however can only cover a fixed number of modes within a limited range. In this paper, we propose a novel sampling strategy for sampling very diverse results from an imbalanced multimodal distribution learned by a deep generative model. Our method works by generating an auxiliary space and smartly making randomly sampling from the auxiliary space equivalent to the diverse sampling from the target distribution. We propose a simple yet effective network architecture that implements this novel sampling strategy, which incorporates a Gumbel-Softmax coefficient matrix sampling method and an aggressive diversity promoting hinge loss function. Extensive experiments demonstrate that our method significantly improves both the diversity and accuracy of the samplings compared with previous state-of-the-art sampling approaches. Code and pre-trained models are available at https://github.com/Droliven/diverse_sampling.Comment: Paper and Supp of our work accepted by ACM MM 202

Concurrent inhibition of FAK/SRC and MEK overcomes MEK inhibitor resistance in Neurofibromatosis Type I related malignant peripheral nerve sheath tumors

Malignant peripheral nerve sheath tumors (MPNST) are aggressive soft-tissue sarcomas which lack effective drugs. Loss of the RAS GTPase-activating protein NF1 and subsequent overactivation of mitogen-activated protein kinase kinase (MAPK) signaling exist nearly uniformly in MPNST, making MAPK inhibition a promising therapeutic intervention. However, the efficacy of MEK inhibitor (MEKi) monotherapy was limited in MPNST and the relative mechanisms remained largely unexplored. In this study, we generated three MEKi-resistant cell models and investigated the mechanisms of MEKi resistance using high-throughput transcriptomic sequencing. We discovered that cell apoptosis and cell cycle arrest induced by MEKi were rescued in MEKi-resistant cells and the upregulation of LAMA4/ITGB1/FAK/SRC signaling conferred resistance to MEKi. In addition, concurrent inhibition of MAPK signaling and FAK/SRC cascade could sensitize MPNST cells to MEKi. Our findings provide potential solutions to overcome MEKi resistance and effective combination therapeutic strategies for treating MPNSTs

High-Dose Dexamethasone Alters the Increase in Interleukin-16 Level in Adult Immune Thrombocytopenia

Adult primary immune thrombocytopenia (ITP) is an autoimmune-mediated haemorrhagic disorder. Interleukin-16 (IL-16) can directly affect cellular or humoural immunity by mediating the cellular cross-talk among T cells, B cells and dendritic cells. Several studies have focused on IL-16 as an immunomodulatory cytokine that takes part in Th1 polarization in autoimmune diseases. In this study, we investigated IL-16 expression in the bone marrow supernatant and plasma of ITP patients and healthy controls. What's more, we detected IL-16 expression in ITP patients with the single-agent 4-day high-dose dexamethasone (HD-DXM) therapy. In patients with active ITP, bone marrow supernatant and plasma IL-16 levels increased (P < 0.05) compared with those of healthy controls. In the meantime, the mRNA expression in BMMCs (pro-IL-16, caspase-3) and PBMCs (pro-IL-16, caspase-3 and T-bet) of ITP patients was increased (P < 0.05) relative to those of healthy controls. In patients who responded to HD-DXM therapy, both plasma IL-16 levels and gene expression in PBMCs (pro-IL-16, caspase-3, and T-bet) were decreased (P < 0.05). In summary, the abnormal level of IL-16 plays important roles in the pathogenesis of ITP. Regulating Th1 polarization associated with IL-16 by HD-DXM therapy may provide a novel insight for immune modulation in ITP

Research on Fault Feature Extraction Method Based on Parameter Optimized Variational Mode Decomposition and Robust Independent Component Analysis

The variational mode decomposition mode (VMD) has a reliable mathematical derivation and can decompose signals adaptively. At present, it has been widely used in mechanical fault diagnosis, financial analysis and prediction, geological signal analysis, and other fields. However, VMD has the problems of insufficient decomposition and modal aliasing due to the unclear selection method of modal component k and penalty factor α. Therefore, it is difficult to ensure the accuracy of fault feature extraction and fault diagnosis. To effectively extract fault feature information from bearing vibration signals, a fault feature extraction method based on VMD optimized with information entropy, and robust independent component analysis (RobustICA) was proposed. Firstly, the modal component k and penalty factor α in VMD were optimized by the principle of minimum information entropy to improve the effect of signal decomposition. Secondly, the optimal parameters weresubstituted into VMD, and several intrinsic mode functions (IMFs) wereobtained by signal decomposition. Secondly, the kurtosis and cross-correlation coefficient criteria were comprehensively used to evaluate the advantages and disadvantages of each IMF.And then, the optimal IMFs were selected to construct the observation signal channel to realize the signal-to-noise separation based on RobustICA. Finally, the envelope demodulation analysis of the denoised signal was carried out to extract the fault characteristic frequency. Through the analysis of bearing simulation signal and actual data, it shows that this method can extract the weak characteristics of rolling bearing fault signal and realize the accurate identification of fault. Meanwhile, in the bearing simulation signal experiment, the results of kurtosis value, cross-correlation coefficient, root mean square error, and mean absolute error are 6.162, 0.681, 0.740, and 0.583, respectively. Compared with other traditional methods, better index evaluation value is obtained

Empirical Evaluation of the Environmental Emergency Management Capability of Local Governments in China

Environmental emergency management is an important practical subject for local governments. Understanding the different dimensions of environmental emergency management capability is crucial for enabling a well-informed governance performance. Based on the crisis management 4R theory (comprising four stages: reduction, readiness, response and recovery), PPRR emergency management theory (emergency management is categorized into four stages: prevention, preparation, response and recovery), crisis life cycle theory and ISO 22320, this paper divided local government environmental emergency management capability into four dimensions of a dynamic pre–during–post process: preparedness, early warning, response and recovery. This paper applied a confirmatory factor analysis model to confirm the classification standards of the four capabilities, which are strongly correlated within environmental emergency management. We found that China’s local government environmental emergency management capability is generally at an upper-middle level, according to the empirical data. We also analyzed the regional differences in local government environmental emergency management capability across China and concluded that the environmental emergency management capability of local governments in the eastern region is higher than those in other regions. The capability levels in the central, western and northeastern regions are more similar to each other and show a decreasing distribution in the east–central–west–northeast region