Groundwater Analysis and Numerical Simulation Based on Grey Theory

Abstract: In view of the deficiency of the traditional methods, based on the grey theory, GM (1, 1) model is established to predict the groundwater level. The proposed model was applied to predict the groundwater level in Xiaonanhai Spring. The prediction result was compared with that of the traditional method and the reported results in the Xiaonanhai Spring. It is indicated that the performance of the proposed model is practically feasible in the application of prediction of groundwater level and its application is simple

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

Large knowledge graphs often grow to store temporal facts that model the dynamic relations or interactions of entities along the timeline. Since such temporal knowledge graphs often suffer from incompleteness, it is important to develop time-aware representation learning models that help to infer the missing temporal facts. While the temporal facts are typically evolving, it is observed that many facts often show a repeated pattern along the timeline, such as economic crises and diplomatic activities. This observation indicates that a model could potentially learn much from the known facts appeared in history. To this end, we propose a new representation learning model for temporal knowledge graphs, namely CyGNet, based on a novel timeaware copy-generation mechanism. CyGNet is not only able to predict future facts from the whole entity vocabulary, but also capable of identifying facts with repetition and accordingly predicting such future facts with reference to the known facts in the past. We evaluate the proposed method on the knowledge graph completion task using five benchmark datasets. Extensive experiments demonstrate the effectiveness of CyGNet for predicting future facts with repetition as well as de novo fact prediction.Comment: AAAI 2021; Updated in accordance with camera read

Институциональные условия усиления внедрения инвестиций интенсивного типа

Большое значение в процессе повышения эффективности общественного воспроизводства на основе усиления внедрения инноваций и инвестиций интенсивного типа имеет создание оптимальных институциональных условий и предпосылок. В этой связи в работе исследуются факторы формирования оптимальной институциональной среды как основы интенсификации российской экономики.Велике значення у процесі підвищення ефективності суспільного відтворення на основі посилення впровадження інновацій та інвестицій інтенсивного типу має створення оптимальних інституційних умов і передумов. У зв'язку із цим у роботі досліджуються чинники формування оптимального інституційного середовища як основи інтенсифікації російської економіки.Creation of optimal institutional conditions and preconditions is of great importance in the process of increasing the efficiency of public reproduction on the basis of strengthening the introduction of innovations and investments of intensive type. In this respect the factors of formation of optimal institutional environment as the bases for intensification of the Russian economy are analyzed

Vertical Velocity Distribution in Open-Channel Flow with Rigid Vegetation

In order to experimentally investigate the effects of rigid vegetation on the characteristics of flow, the vegetations were modeled by rigid cylindrical rod. Flow field is measured under the conditions of submerged rigid rod in flume with single layer and double layer vegetations. Experiments were performed for various spacings of the rigid rods. The vegetation models were aligned with the approaching flow in a rectangular channel. Vertical distributions of time-averaged velocity at various streamwise distances were evaluated using an acoustic Doppler velocimeter (ADV). The results indicate that, in submerged conditions, it is difficult to described velocity distribution along the entire depth using unified function. The characteristic of vertical distribution of longitudinal velocity is the presence of inflection. Under the inflection, the line is convex and groove above inflection. The interaction of high and low momentum fluids causes the flow to fold and creates strong vortices within each mixing layer. Understanding the flow phenomena in the area surrounding the tall vegetation, especially in the downstream region, is very important when modeling or studying the riparian environment. ADV measures of rigid vegetation distribution of the flow velocity field can give people a new understanding

Differences in phyllosphere microbiomes among different Populus spp. in the same habitat

IntroductionThe above-ground parts of terrestrial plants are collectively known as the phyllosphere. The surface of the leaf blade is a unique and extensive habitat for microbial communities. Phyllosphere bacteria are the second most closely associated microbial group with plants after fungi and viruses, and are the most abundant, occupying a dominant position in the phyllosphere microbial community. Host species are a major factor influencing the community diversity and structure of phyllosphere microorganisms.MethodsIn this study, six Populus spp. were selected for study under the same site conditions and their phyllosphere bacterial community DNA fragments were paired-end sequenced using 16S ribosomal RNA (rRNA) gene amplicon sequencing. Based on the distribution of the amplicon sequence variants (ASVs), we assessed the alpha-diversity level of each sample and further measured the differences in species abundance composition among the samples, and predicted the metabolic function of the community based on the gene sequencing results.ResultsThe results revealed that different Populus spp. under the same stand conditions resulted in different phyllosphere bacterial communities. The bacterial community structure was mainly affected by the carbon and soluble sugar content of the leaves, and the leaf nitrogen, phosphorus and carbon/nitrogen were the main factors affecting the relative abundance of phyllosphere bacteria.DiscussionPrevious studies have shown that a large proportion of the variation in the composition of phyllosphere microbial communities was explained by the hosts themselves. In contrast, leaf-borne nutrients were an available resource for bacteria living on the leaf surface, thus influencing the community structure of phyllosphere bacteria. These were similar to the conclusions obtained in this study. This study provides theoretical support for the study of the composition and structure of phyllosphere bacterial communities in woody plants and the factors influencing them

Non-volatile electric field-mediated magnetic anisotropy in CoZr/ PMN-PT structure

Introduction: Although electric field mediated the magnetic anisotropy in ferromagnetic/ferroelectric structure have an intense report, the angle between the magnetic uniaxial anisotropy and strain anisotropy influencing the rearrangement of the magnetic moment has not well investigated.Methods: Keithley 2410 direct current power supply was used to provide voltage through the Cu wires. Static magnetic properties of CoZr layer were measured through VSM (MicroSense EV9). Dynamic magnetic properties were obtained by FMR (JEOL JES-FA 300 spectrometer, power of 1-mW, X-band at 8.969 GHz).Results and Discussion: Electric field-mediated, room-temperature magnetic anisotropy of CoZr/Pb(Mg1/3Nb2/3)O3–PbTiO3 (PMN–PT) structures, in which easy axis of CoZr layer along either direction of [01-1] or [100] of PMN–PT, was investigated. Measured with vibrating sample magnetometer, for [01-1] easy-axis direction sample, when an electric field was applied, these directions of easy axis and hard axis remains unchanged. However, for [100] easy-axis direction sample, these directions of easy axis and hard axis were changed obviously with applying electric field, attributable to the competition between magnetic uniaxial anisotropy of CoZr layer and piezostrain anisotropy of PMN-PT substrate. Nevertheless, change of the resonance magnetic field with electric field–measured by ferromagnetic resonance–exhibited non-volatile behavior, which possibly indicates magnon-driven magnetoelectric coupling existing in CoZr/PMN–PT structures

Unique allosteric effect driven rapid adsorption of carbon dioxide on a new ionogel [P4444][2-Op]@MCM-41 with excellent cyclic stability and loading-dependent capacity

Allosteric effect-driven rapid stepwise CO2 adsorption of pyridine-containing anion functionalized ionic liquid [P4444][2-Op] confined into mesoporous silica MCM-41.</p

Aggregation formation mediated anoikis resistance of BEL7402 hepatoma cells.

Anoikis resistance is the prerequisite of cancer cells metastasis. Elucidation of the mechanism of anoikis resistance remains a significant challenge. We reported here a model to mimic anoikis resistant process of hepatoma cells in vitro. Experimental results indicated cell to cell aggregation could mediate anoikis resistance of BEL7402 hepatoma cells. Further investigation of these aggregations indicated the biological properties changed greatly after the hepatoma cells lost their anchorage. Aggregation forming process could be separated into three distinct phases according to their biological characteristics, comprising of premature phase, mature phase and postmature phase. Mature phase aggregations have the premium state of cell viability and may mimic the metastatic cells in the circulating system. Biological properties of these three phases aggregations were studied in details including morphological alteration, cell viability and microarray expression profiles. It indicated there was a great upregulation of adhesion molecules during the process of aggregation formation and the cell to cell contact in the aggregation may be mediated independent of calcium involved adhesion pathway. This model might shed light on the anoikis resistance mechanism of hepatoma cells and help to develop new therapies that may target the anoikis resistant hepatoma cells in the metastasis process

Construction and validation of a glioblastoma prognostic model based on immune-related genes

BackgroundGlioblastoma multiforme (GBM) is a common malignant brain tumor with high mortality. It is urgently necessary to develop a new treatment because traditional approaches have plateaued.PurposeHere, we identified an immune-related gene (IRG)-based prognostic signature to comprehensively define the prognosis of GBM.MethodsGlioblastoma samples were selected from the Chinese Glioma Genome Atlas (CGGA). We retrieved IRGs from the ImmPort data resource. Univariate Cox regression and LASSO Cox regression analyses were used to develop our predictive model. In addition, we constructed a predictive nomogram integrating the independent predictive factors to determine the one-, two-, and 3-year overall survival (OS) probabilities of individuals with GBM. Additionally, the molecular and immune characteristics and benefits of ICI therapy were analyzed in subgroups defined based on our prognostic model. Finally, the proteins encoded by the selected genes were identified with liquid chromatography-tandem mass spectrometry and western blotting (WB).ResultsSix IRGs were used to construct the predictive model. The GBM patients were categorized into a high-risk group and a low-risk group. High-risk group patients had worse survival than low-risk group patients, and stronger positive associations with multiple tumor-related pathways, such as angiogenesis and hypoxia pathways, were found in the high-risk group. The high-risk group also had a low IDH1 mutation rate, high PTEN mutation rate, low 1p19q co-deletion rate and low MGMT promoter methylation rate. In addition, patients in the high-risk group showed increased immune cell infiltration, more aggressive immune activity, higher expression of immune checkpoint genes, and less benefit from immunotherapy than those in the low-risk group. Finally, the expression levels of TNC and SSTR2 were confirmed to be significantly associated with patient prognosis by protein mass spectrometry and WB.ConclusionHerein, a robust predictive model based on IRGs was developed to predict the OS of GBM patients and to aid future clinical research