60 research outputs found

    Large Eddy Simulation analysis on confined swirling flows in a gas turbine swirl burner

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    This paper describes a Large Eddy Simulation (LES) investigation into flow fields in a model gas turbine combustor equipped with a swirl burner. A probability density function was used to describe the interaction physics of chemical reaction and turbulent flow as liquid fuel was directly injected into the combustion chamber and rapidly mixed with the swirling air. Simulation results showed that heat release during combustion accelerated the axial velocity motion and made the recirculation zone more compact. As the combustion was taking place under lean burn conditions, NO emissions was less than 10 ppm. Finally, the effects of outlet contraction on swirling flows and combustion instability were investigated. Results suggest that contracted outlet can enhance the generation of a Central Vortex Core (CVC) flow structure. As peak RMS of velocity fluctuation profiles at center-line suggested the turbulent instability can be enhanced by CVC motion, the Power Spectrum Density (PSD) amplitude also explained that the oscillation at CVC position was greater than other places. Both evidences demonstrated that outlet contraction can increase the instability of the central field.  [m1]Is’t right? Yes

    Cross-level transformation of creativity from entrepreneurs to organizations

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    With the intensification of competition in the business environment, organizational creativity is increasingly becoming crucial for organizations to build competitive advantages and promote organizational development. For innovative enterprises, their entrepreneurs largely determine the development orientation of the enterprise. They are one of the most critical factors determining the level of corporate innovation, but there need to be more effective creativity transformation path to pursue innovation development. The findings in this study show that entrepreneurial individual creativity has a significant positive effect on organizational creativity, platform leadership mediates the path of creativity transformation across hierarchical levels, and organizational culture has positive moderating effect between platform leadership and organizational creativity. The study results explain the transformation mechanism of creativity from the entrepreneur's perspective, expand the potential transformation path of organizational creativity, and are instructive for enhancing organizational creativity

    GLM-130B: An Open Bilingual Pre-trained Model

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    We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language model with 130 billion parameters. It is an attempt to open-source a 100B-scale model at least as good as GPT-3 (davinci) and unveil how models of such a scale can be successfully pre-trained. Over the course of this effort, we face numerous unexpected technical and engineering challenges, particularly on loss spikes and divergence. In this paper, we introduce the training process of GLM-130B including its design choices, training strategies for both efficiency and stability, and engineering efforts. The resultant GLM-130B model offers significant outperformance over GPT-3 175B (davinci) on a wide range of popular English benchmarks while the performance advantage is not observed in OPT-175B and BLOOM-176B. It also consistently and significantly outperforms ERNIE TITAN 3.0 260B -- the largest Chinese language model -- across related benchmarks. Finally, we leverage a unique scaling property of GLM-130B to reach INT4 quantization without post training, with almost no performance loss, making it the first among 100B-scale models and more importantly, allowing its effective inference on 4Ă—\timesRTX 3090 (24G) or 8Ă—\timesRTX 2080 Ti (11G) GPUs, the most affordable GPUs required for using 100B-scale models. The GLM-130B model weights are publicly accessible and its code, training logs, related toolkit, and lessons learned are open-sourced at \url{https://github.com/THUDM/GLM-130B/}.Comment: Accepted to ICLR 202

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

    Differential Expression Unigenes Summary Table.xlsx

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    This study focused on investigating the effect of chlormequat chloride, a typical plant growth regulator, on the medicinal plant C. yanhusuo. A standardized field experiment was conducted to examine the changes in active compounds and the molecular mechanism under intervention of chlormequat chloride. The samples of C. yanhusuo were obtained under control conditions as well as different concentrations of chlormequat chloride intervention. Through non-targeted metabolomics analysis, it was found that the differential compounds in the control and treated groups of C. yanhusuo were mainly alkaloids. Targeted metabolomics accurately quantified the 12 abundant alkaloidal compounds in different groups of C. yanhusuo, revealing the changes in metabolite content. A comprehensive metabolomics evaluation method based on pharmacodynamic active compounds was established. Furthermore, transcriptomics analysis helped identify differential genes or enzymes related to alkaloid biosynthesis between the control and treated groups. The study found that the content of quantitatively abundant alkaloids decreased in C. yanhusuo when intervened with chlormequat chloride, indicating that the expression of cytochrome P450 enzymes, responsible for benzylisoquinoline alkaloid biosynthesis, was suppressed by chlormequat chloride. Overall, this research elucidated the dose-effect change rule of chlormequat chloride on C. yanhusuo and its relevant molecular mechanism based on omics analysis.</p

    More evidence for prediction model of radiosensitivity

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    With the development of precision medicine, searching for potential biomarkers plays a major role in personalized medicine. Therefore, how to predict radiosensitivity to improve radiotherapy is a burning question. The definition of radiosensitivity is complex. Radiosensitive gene/biomarker can be useful for predicting which patients would benefit from radiotherapy. The discovery of radiosensitivity biomarkers require multiple pieces of evidence. A prediction model of breast cancer radiosensitivity based on six genes was established. We had put forward some supplements on the basis of the present study. We found that there were no differences between high- and low-risk scores in the non-radiotherapy group. Patients who received radiotherapy had a significantly better overall survival than non-radiotherapy patients in the predicted low-risk score patients. Furthermore, there was no difference between radiotherapy group and non-radiotherapy group in the high-risk score group. Those results firmly supported the prediction model of radiosensitivity. In addition, building a radiosensitivity prediction model was systematically discussed. Genes of model could be screened by different methods, such as Cox regression analysis, Lasso Cox regression method, random forest algorithm and other methods. In the future, precision radiotherapy might depend on the combination of multi-omics data and high dimensional image data

    A Discussion on Adaptive Applications of Some Chinese Design Codes in Guinea and Localization of Flood Standards

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    Chinese engineering team participated in the construction of several water conservancy and hydropower projects in areas which have differences in climate characteristics from China. Due to a lack of hydrological and climatic data and the absence of systematic design specifications in these areas, considering construction safety, most of the Chinese designs and constructions are based on the extreme values with the Chinese design codes. The S Project in Guinea established a rainfall-runoff model through open-source remote sensing satellite precipitation data and limited hydrological station measured runoff data,allowing to refine local hydrological data. Based on these data series, it was then possible to calculate flood control standards with more local hydrological characteristics in order to promote the progress of the project scientifically. In addition, combining the refined discharging curve of the outlet hole with the latest arc gate online monitoring technology, and the joint dispatch with the downstream hydropower station, permitted that the downstream K Hydropower Station created historic power generation in 2019 with significant economic and social benefits

    Relation between Soil Moisture and Occurrence of Dust Storms in Central Inner Mongolia, China

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    Genome-wide analysis of haloacid dehalogenase genes reveals their function in phosphate starvation responses in rice.

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    The HAD superfamily is named after the halogenated acid dehalogenase found in bacteria, which hydrolyses a diverse range of organic phosphate substrates. Although certain studies have shown the involvement of HAD genes in Pi starvation responses, systematic classification and bioinformatics analysis of the HAD superfamily in plants is lacking. In this study, 41 and 40 HAD genes were identified by genomic searching in rice and Arabidopsis, respectively. According to sequence similarity, these proteins are divided into three major groups and seven subgroups. Conserved motif analysis indicates that the majority of the identified HAD proteins contain phosphatase domains. A further structural analysis showed that HAD proteins have four conserved motifs and specified cap domains. Fewer HAD genes show collinearity relationships in both rice and Arabidopsis, which is consistent with the large variations in the HAD genes. Among the 41 HAD genes of rice, the promoters of 28 genes contain Pi-responsive cis-elements. Mining of transcriptome data and qRT-PCR results showed that at least the expression of 17 HAD genes was induced by Pi starvation in shoots or roots. These HAD proteins are predicted to be involved in intracellular or extracellular Po recycling under Pi stress conditions in plants
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