Phosphogypsum (PG), a by-product of phosphoric acid industry, causes environmental issues. In this paper, PG was effectively transformed into alpha-calcium sulfate hemihydrate (?-CSH) via a semi-liquid method. The pha...
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Phosphogypsum (PG), a by-product of phosphoric acid industry, causes environmental issues. In this paper, PG was effectively transformed into alpha-calcium sulfate hemihydrate (?-CSH) via a semi-liquid method. The phase evolution and the effects of different organic acids and pH values on crystal morphology of the -CSH were investigated by SEM, XRD and EDS. The properties of the prepared -CSH with different aspect ratio were also compared. The results indicate that PG can be successfully transformed into -CSH by the semi-liquid method at 140 degrees C for 3.0 h. The morphology of the produced -CSH is significantly influenced by the concentrations of organic acid and pH value. -CSH crystal with well-morphology is obtained under the condition of 0.1wt.% maleic acid and pH = 7.0. The obtained -CSH with uniform particle size has the aspect ratio of 1.2. The 2 h and 3 d bending/compressive strengths of the hardened paste prepared from the -CSH reach 6.4/20.6 MPa and 10.5/43.7 MPa respectively, which are comparable to those of the commercial -CSH. Moreover, the lower aspect ratio of ?-CSH results in more compact microstructure and higher mechanical strengths of the hardened paste.
This work focuses on motion control of high-velocity autonomous underwater vehicle(AUV).Conventional methods are effective solutions to motion control of low-and-medium-velocity *** not taken into consideration in the...
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This work focuses on motion control of high-velocity autonomous underwater vehicle(AUV).Conventional methods are effective solutions to motion control of low-and-medium-velocity *** not taken into consideration in the control model,the residual dead load and damping force which vary with the AUV’s velocity tend to result in difficulties in motion control or even failure in convergence in the case of high-velocity *** full consideration given to the influence of residual dead load and changing damping force upon AUV motion control,a novel sliding-mode controller(SMC)is proposed in this *** stability analysis of the proposed controller is carried out on the basis of Lyapunov *** sea trials results proved the superiority of the sliding-mode controller over sigmoid-function-based controller(SFC).The novel controller demonstrated its effectiveness by achieving admirable control results in the case of high-velocity movement.
Traditional chemical treatments require high energy and concentrated agents to decrease high-lignin biomass recalcitrance during lignin removal. A low-cost and environment-friendly method via modifying the lignin stru...
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Traditional chemical treatments require high energy and concentrated agents to decrease high-lignin biomass recalcitrance during lignin removal. A low-cost and environment-friendly method via modifying the lignin structure without lignin degradation overcomes lignin barrier in wood-feeding termites. In this study, thermal hydroxyl radicals in the biomimetic system performed in high-lignin cassava stillage residues did not reduce total lignin level but altered the lignin monostructure. The major beta-0-4' remained conserved, whereas. hydroxylation and modification of selective intermonomer side-chain linkages occurred in the treated lignin. The treatment can enhance enzymatic saccharification with cellulose conversion of cassava stillage residues at 97%, twice higher than that of the control. In addition, the modified lignin exhibited low invalid adsorption capacity into commercial cellulases, thereby improving the performance of cellulosic feedstock. Modifying the lignin structure, instead of removing lignin, provides new insights for development of novel treatments for high lignin biomass.
The characteristics of tongue coating are very important symbols for disease diagnosis in traditional Chinese medicine (TCM) theory. As a habitat of oral microbiota, bacteria on the tongue dorsum have been proved to b...
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The characteristics of tongue coating are very important symbols for disease diagnosis in traditional Chinese medicine (TCM) theory. As a habitat of oral microbiota, bacteria on the tongue dorsum have been proved to be the cause of many oral diseases. The high-throughput next-generation sequencing (NGS) platforms have been widely applied in the analysis of bacterial 16S rRNA gene. We developed a methodology based on genus-specific multiprimer amplification and ligation-based sequencing for microbiota analysis. In order to validate the efficiency of the approach, we thoroughly analyzed six tongue coating samples from lung cancer patients with different TCM types, and more than 600 genera of bacteria were detected by this platform. The results showed that ligation-based parallel sequencing combined with enzyme digestion and multiamplification could expand the effective length of sequencing reads and could be applied in the microbiota analysis.
Chronic inflammation plays an important role in tumor progression. The aim of this analysis was to evaluate whether inflammatory biomarkers such as the Glasgow prognostic score (GPS), the neutrophil-lymphocyte ratio (...
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Chronic inflammation plays an important role in tumor progression. The aim of this analysis was to evaluate whether inflammatory biomarkers such as the Glasgow prognostic score (GPS), the neutrophil-lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR), and the lymphocyte-monocyte ratio (LMR) could predict the prognosis of nasopharyngeal carcinoma (NPC). In this analysis, pretreatment GPS, NLR, PLR, LMR of 388 patients who were diagnosed as nonmetastatic NPC and recruited prospectively in the 863 program No. 2006AA02Z4B4 were assessed. Of those, the 249 cases enrolled between December 27th 2006 and July 31st 2011 were defined as the development set. The rest 139 cases enrolled between August 1st 2011 and July 31st 2013 were defined as the validation set. The variables above were analyzed in the development set, together with age, gender, Karnofsky performance score, T stage, and N stage, with respect to their impact on the disease-specific survival (DSS) through a univariate analysis. The candidate prognostic factors then underwent a multivariate analysis. A nomogram was established to predict the DSS, by involving the independent prognostic factors. Its predction capacity was evaluated through calculating Harrell's concordance index (C-index) in the validation set. After multivariate analysis for the development set, age (<= 50 vs. >50 years old), T stage (T1-2 vs. T3-4), N stage (N0-1 vs. N2-3) and pretreatment GPS (0 vs. 1-2), NLR (<= 2.5 vs. >2.5), LMR (<= 2.35 vs. >2.35) were independent prognostic factors of DSS (P values were 0.002, 0.008, <0.001, 0.004, 0.018, and 0.004, respectively). A nomogram was established by involving all the factors above. Its C-index for predicting the DSS of the validation set was 0.734 (standard error 0.056). Pretreatment GPS, NLR, and LMR were independent prognostic factors of NPC. The nomogram based on them could be used to predict the DSS of NPC patients.
NO absorption and oxidation by K2S2O8 + Fe(II)EDTA system was studied in a lab-scale bubble reactor. The effects of different additives, reaction temperatures, pH values, K2S2O8 and Fe(II)EDTA concentrations on NO con...
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NO absorption and oxidation by K2S2O8 + Fe(II)EDTA system was studied in a lab-scale bubble reactor. The effects of different additives, reaction temperatures, pH values, K2S2O8 and Fe(II)EDTA concentrations on NO conversion were systematic investigated. Results indicated that NO conversion rate of K2S2O8 + Fe (II)EDTA system increased to 91.6% when concentrations of K2S2O8 and Fe(II)EDTA were both 30 mmol/L at 80 degrees C. NO conversion rate was positively correlated with the SO42- concentration in absorption solution, and it kept around 80% in a wide pH range, which made this technology to be a promising method for the denitrification of coal-fired flue gas. (C) 2017 Elsevier B.V. All rights reserved.
The task of automatic document summarization aims at generating short summaries for originally long documents. A good summary should cover the most important information of the original document or a cluster of docume...
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The task of automatic document summarization aims at generating short summaries for originally long documents. A good summary should cover the most important information of the original document or a cluster of documents, while being coherent, non-redundant and grammatically readable. Numerous approaches for automatic summarization have been developed to date. In this paper we give a self-contained, broad overview of recent progress made for document summarization within the last 5 years. Specifically, we emphasize on significant contributions made in recent years that represent the state-of-the-art of document summarization, including progress on modern sentence extraction approaches that improve concept coverage, information diversity and content coherence, as well as attempts from summarization frameworks that integrate sentence compression, and more abstractive systems that are able to produce completely new sentences. In addition, we review progress made for document summarization in domains, genres and applications that are different from traditional settings. We also point out some of the latest trends and highlight a few possible future directions.
Big data processing applications have been migrated into cloud gradually, due to the advantages of cloud computing. Hadoop Distributed File System (HDFS) is one of the fundamental support systems for big data processi...
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Big data processing applications have been migrated into cloud gradually, due to the advantages of cloud computing. Hadoop Distributed File System (HDFS) is one of the fundamental support systems for big data processing on MapReduce-like frameworks, such as Hadoop and Spark. Since HDFS is not aware of the co-location of virtual machines in the cloud, the default scheme of block allocation in HDFS does not fit well in the cloud environments behaving in two aspects: data reliability loss and performance degradation. In this paper, we present a novel location-aware data block allocation strategy (LDBAS). LDBAS jointly optimizes data reliability and performance for upper-layer applications by allocating data blocks according to the locations and different processing capacities of virtual nodes in the cloud. We apply LDBAS to two stages of data allocation of HDFS in the cloud (the initial data allocation and data recovery), and design the corresponding algorithms. Finally, we implement LDBAS into an actual Hadoop cluster and evaluate the performance with the benchmark suite BigDataBench. The experimental results show that LDBAS can guarantee the designed data reliability while reducing the job execution time of the I/O-intensive applications in Hadoop by 8.9% on average and up to 11.2% compared with the original Hadoop in the cloud.
Cubic silicon carbide (3C-SiC) has been grown on Si (111) substrate by chemical vapor deposition. The crystal quality of SiC with the SiCN buffer layer is obviously improved comparing with that grown on the SiC buffer...
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Cubic silicon carbide (3C-SiC) has been grown on Si (111) substrate by chemical vapor deposition. The crystal quality of SiC with the SiCN buffer layer is obviously improved comparing with that grown on the SiC buffer layer. The SiCN film, composed of elemental Si and SiC1-xNx alloy, is formed by the constant-source diffusion of the C and N atoms into the Si substrate. During the 3C-SiC high temperature growth, this in-situ formed SiCN film evolves into a double sub-layered SiCN buffer, including the SiC1-xNx alloy and the SiCN composite sublayers. The SiC1-xNx alloy layer (x from 0 to 0.09) results from the limited-source diffusion of N from the in-situ formed SiCN film to the subsequently deposited SiC. The SiCN composite layer, composed of elemental Si and SiC1-xNx alloy (x from 0.09 to 0.06), is caused by the constant-source diffusion of C from the SiC towards the substrate, as well as the outgoing diffusion of N in the in-situ formed SiCN film. The SiCN buffer layer can effectively accommodate the lattice mismatch between SiC and Si substrate.
Intrahepatic cholangiocarcinoma (ICC) is a highly malignant tumor, difficult to diagnose even at an early stage. In this study, we successfully constructed an nras(61K)-induced ICC model in zebrafish. Transcriptome an...
Intrahepatic cholangiocarcinoma (ICC) is a highly malignant tumor, difficult to diagnose even at an early stage. In this study, we successfully constructed an nras(61K)-induced ICC model in zebrafish. Transcriptome analysis and gene set enrichment analysis (GSEA) of liver samples of the ICC and WT (wild-type) zebrafish revealed that the genes differentially expressed between the two groups were mainly involved in focal adhesion, chemokine signaling and metabolic pathways. Analysis of DNA methylomes revealed that compared with WT samples, methylated genes in ICC samples were enriched in functions associated with cellular, single-organism and metabolic processes. In particular, our result discovered eleven potential biomarker genes of ICC which were conserved between zebrafish and humans. Moreover, three potential biomarker genes were hypomethylated in the tumorigenesis of ICC: ehf, epha4 and itgb6. In summary, our study provides a comprehensive analysis of molecular mechanisms accompanying the progressive nras61K-induced ICC. This work indicates that our transgenic zebrafish could be a valuable model, not only for studying liver cancer, but also for exploring new therapeutic targets.
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