Forty Five Years of Working Hand in Hand: A Review and Outlook on Friendship Between China and Djibouti

Since the formal establishment of diplomatic relations in 1979,China and Djibouti have made significant progress in developing bilateral relations,with the two countries supporting and cooperating with each other and the two peoples sharing a strong bond.Especially since the 18th National Congress of the Communist Party of China,with the joint efforts of China and Djibouti,the bilateral relations have enjoyed comprehensive and rapid development.

政府层面的扬州市旅游风情小镇创建研究

扬州市创建培育旅游风情小镇,是贯彻落实江苏省"两聚一高"战略部署和建设"强富美高"新扬州的重要举措。目前扬州出台了相关政策,并积极开展创建、申报工作和课题研究,但仍存在许多困难。解决这些困难,必须在政府引导层面上,提升协调机构层次与建立工作机制,明确部门分工与组建专家智库,尽快实施《扬州市旅游风情小镇建设与管理规范》,制定土地、资金和人才等扶持政策。

Mechanical Properties and Microstructure of CaSO4 Whisker Reinforced Cement Mortar

Calcium sulfate whisker(CaSO4 whiskers), a new type of microfiber material, was used in cement matrix to increase the strength of the cement based composites. Effect of CaSO4 whiskers on the mechanical properties of the resulting cement mortar was also studied. The results showed that the flexural strength and compressive strength of the mortar specimen was improved as high as 28.3% and 8.5% by incorporating 5 wt% CaSO4 whiskers. Also, the chemical composition and structural transformation of the hardened cement matrix with CaSO4 whiskers were identified by X-ray diffraction(XRD) and scanning electron microscope(SEM). Conclusion can be drawn that CaSO4 whiskers can effectively retard the formation and restrict the coalescence of micro-crack expansion. The interaction mechanism of CaSO4 whisker on the reinforcement is mainly on three aspects: whisker pullout, crack deflection, and crack bridging. Mercury intrusion porosimetry(MIP) tests have confirmed that for 28 d cement mortar, the harmless pores increased from 9.33% to 10.62%, and the harmful pores decreased from 2.08% to 1.90%. Therefore, the whisker can optimize the pore size distribution of the resulting cement mortar.

iTRAQ-based quantitative proteomics analysis of defense responses triggered by the pathogen Rhizoctonia solani infection in rice

The soil-borne necrotrophic fungus Rhizoctonia solani is one of destructive fungi causing severe yield losses in various important crops. However, the host defense mechanisms against the invasion of this pathogen are poorly understood. In this study, we employed an i TRAQ-based quantitative proteomic approach to investigate host proteins responsive to R. solani using the resistant rice cultivar YSBR1. As a whole, we identified 319 differentially accumulated proteins(DAPs) after inoculation of rice plants with R. solani. Functional categorization analysis indicates that these DAPs cover a broad range of functions. Notably, a substantial portion of the DAPs are involved in cell redox homeostasis, carbohydrate metabolism, and phenylpropanoid biosynthesis, or belong to pathogenesis-related proteins, indicating that these processes/proteins play important roles in host defense against R. solani. Interestingly, all of the DAPs involved in photosynthesis and chlorophyll biosynthetic processes, and part of the DAPs involved in phenylpropanoid biosynthesis, show reduced accumulation after R. solani infection, suggesting that R. solani probably inhibits host photosynthetic system and phenylpropanoid biosynthesis to facilitate infection and colonization. In conclusion, our results provide both valuable resources and new insights into the molecular mechanisms underlying rice and R. solani interaction.

Green transformation of manufacturing industry for ecological protection in Jiangsu Province

Under the new normal economy, the manufacturing industry is developing rapidly as the focus of economic development in Jiangsu. Its rapid development has brought great opportunities to our society, but at the same time, great challenges has been brought to the natural environment. The resource consumption and environmental pollution problems have become increasingly prominent. In the face of this situation, we must try every means to reduce pollution and save energy. Therefore, the transition trend of manufacturing industry in the future is bound to take the green economy as the background. Thus, this paper analyzes the drawbacks of the manufacturing industry in Jiangsu province. And the status of traditional manufacturing enterprises and advantages of green manufacturing are analyzed. Then, the paper proposed to explore the practice of green manufacturing mode for the ecological protection, so as to achieve the industrial transformation and upgrading of manufacturing industry in Jiangsu province.

Formwork lateral pressure of precast normal-concrete composite shear walls infilled with self-compacting concrete

Wall cracking and mold expanding due to concrete vibrations can be effectively solved through the application of precast normal-concrete composite shear walls infilled with self-compacting concrete(SCC). However, the high liquidity of SCC will induce a higher lateral pressure. Therefore, it is important to obtain a better understanding of the template lateral pressure. In this work, nine composite shear walls were experimentally investigated, focusing on the effects of two parameters, i.e., the casting rate and the section width of the formwork. The time-varying pressure was monitored during the SCC pouring. It is found that the increase of casting rate from 3.2 m/h to 10.3 m/h resulted in a higher maximum lateral pressure. The higher casting rate led to a longer time required for the lateral pressure to drop to a steady value. There was no correlation between the section width and the rate of decrease in the initial formwork pressure and stable value. Based on the test results, a formula considering the effect of casting speed for the calculation of SCC formwork pressure was established to fill the gap in the current standards and for engineering applications.

Microwave Irradiated Reactions of N-Phenacylpyridinium Chloride with Aromatic Aldehydes and Ketones

In the system of ammonium acetate and acetic acid and under microwave irradiation, N-phenacylpyridinium chloride 1 reacted with chalcone 2 to give 2,4,6-triarylpyrididnes 3a-g in high yields. 3a-g can also be prepared from one-pot reaction of 1 with aromatic aldehydes 4 and substituted acetophenones 5. Under the same conditions 1 can also react with pyridinecar boxaldehyde 6a-e and acetophenone to yield bipyridine derivatives 7a-e. 1 reacted with aromatic aldehyde and cyclohexanone 6 to yield 2,4-diaryltetrahydroquinolines 8a-d. At last 1 reacted with aromatic aldehydes to give 2,4,6-triarylpyrimidine 9a-1. The structure of the products was characterized with 1^H NMR and IR and mass spectroscopy.

Four-function Principle for Optimization Design of Green High Performance Massive Concrete

A four-function principle was proposed for the optimization design of green high performance massive concrete（GHPMC）based on the theory of value engineering and the adiabatic temperature change control.A set of concrete formulas were designed according to the orthogonal experiment.The experimental results were analyzed by applying the variance analysis method to find out the effects of influential factors and determine the optimum mixture formula.In addition,the four-function principle was successfully applied to optimize the mixture formula in field massive concrete engineering.The practical results show the adiabatic temperature change of massive concrete could be efficiently controlled,and the excellent durability,good workability and high compressive strength could be achieved.

Genome-Wide Association Studies Reveal New Genetic Targets for Five Panicle Traits of International Rice Varieties

Narrow genetic background is a key limiting factor in breeding stable high-yielding rice. The introduction and utilization of international rice core germplasm is an important way to increase the genetic diversity of domestic rice varieties. We conducted a genome-wide association study on 5 panicle traits of 315 rice accessions introduced from the international rice micro-core germplasm bank. Based on the tests from Yangzhou of China and Arkansas of American, environment exhibited a significant impacts on panicle length and primary branch number, while grain length, grain width and grain length/width ratio were insensitive to environment changes. We discovered a total of 7, 5, 10, 8 and 6 chromosomal regions or single nucleotide polymorphism marker loci that were significantly associated with primary branch number, panicle length, grain length, grain width and grain length/width ratio, respectively. Among them, eleven regions were associated with grain shape and one region associated with primary branch number, showing the good consistence in two different environments. Significant linear correlation was discovered between the average trait value and the number of favorable alleles carried by the varieties in all associated loci. Among the associated loci, varieties in aromatic and tropical japonica sub-groups possessed most favorable alleles, while those in temperate japonica sub-group contained the least. The domestic varieties mainly harbored unfavorable alleles in six of the associated loci being detected. On the contrary, 15 varieties from 11 different countries harbored more favorable alleles （as many as 30 or more） than the others. Remarkably, all these 15 varieties belonged to the tropical japonica sub-group. In conclusion, our study demonstrates that varieties in the tropical japonica sub-group had high potentials for breeding stable high-yielding rice. Based on this discovery, we proposed a new approach for improving the panicle traits of domestic rice by using tropical japonica varieties.

Investigating the Effects of the Driving Cycle and Penetration of Electric Vehicles on Technical and Environmental Characteristics of the Hybrid Energy System Considering Uncertainties

Electric vehicles(EVs)have received special consideration from modern society over the past several years.Although EVs are a fine example of environmentally friendly technology and have many advantages,they relatively increase the electricity demand upon a power grid as well.Therefore,their negative impact on busvoltage and line losses should be analyzed.In this study,the effect of EV loads and their penetration on bus voltage and line losses of an IEEE-33 bussystem has been examined via two scenarios.It is important to mention that the effect of EVs on the rate of air pollution,produced by fossil fuel electricity generators,has been investigated throughout the study.Also,the key role of demand response programs in the reduction of EVs’negative effects on the grid has also been discussed in the last scenario.Generally,the simulation of this paper provides a novel and wider perspective on EVs and their effect on grids and environmental pollution.

Incorporation of Cutting for Customized Suits

The theoretical male body size and its distribution plan are studied in consideration with the nation standard and the information provided by several garment companies. Through nine times tries of marking two suits with the CAD marking module, the fabric length and rates are derived. The formulas of the marking fabric length, the length total, and the girth total are obtained by using SPSS software. Moreover, by comparing the two incorporation methods of cutting in which one in the arithmetic sequence and the other in the geometric sequence, it is found that the one in the arithmetic sequence is better than the one in the geometric sequence.

Literature Review of Learning English in Primary Schools and Universities

For the students all over the world, once they start to learn an additional language, they are going to have some challenges with themselves. This article describes something that is focused on the situation about how do Chinese students learning English. And how do they get their success in an efficient way while they in both primary schools and universities.

Microstructure and properties of honeycomb composite films containing Eu and Sn

Honeycomb composite films were prepared by breath figure method via a straightforward,one-step process by doping complex containing Eu or Sn into polystyrene-b-poly(acrylic acid) solution.Several key influencing factors,such as the concentration of the block polymer solution,the relative humidity of the environment and the amount of complexes,were investigated to control micropore size and tune film surface properties.The characteristics of the composite films were studied by scanning electron microscopy(SEM),atomic force microscopy(AFM),X-ray diffraction(XRD),ultraviolet and emission spectra.Results indicate that composite films containing Eu have excellent optical performance,and micro-patterned bowl-like SnO_(2) microparticles could be fabricated from composite films containing Sn after being calcined at 600℃ for 5 h.This general approach for the fabrication of honeycomb composite films opens a convenient and effective route to the functional modification of honeycomb films and offers new prospects for the application in miniaturized sensors,micro-reactor and catalysis.

CAPS/dCAPS Designer: a web-based high-throughput dCAPS marker design tool

Dear Editor, An increasing number of single-nucleotide polymorphisms （SNP） have been identified and extensively used in genetics studies with advances in next-generation sequencing （NGS） and SNP arrays. However, due to frequent calling errors, the accuracy of SNPs of interest must usually be validated. In recent years, the single-nucleotide polymorphism genotyp-ing by fluorescent competitive allele-specific polymerase chain reaction （NiPTag, the commercial technology named KASP）, a relatively new and powerful SNP genotyping technique, relies on a mismatched nucleotide of a primer, and the mismatched nucleotide prevents amplification of the mutated allele.

Isolation and characterization of rl_(t), a gene that controls leaf rolling in rice

Moderate leaf rolling is one of the most important morphological traits in rice breeding for plant ideotype.Previous studies have shown that the rl(t)gene has a high breeding potential for developing hybrid-rice varieties with an ideal ideotype,because it leads to an appropriate leaf rolling index(LRI)of about 30%in the heterozygous state,and had a positive effect on grain yield.In this study,we isolated rl(t)and performed a preliminary investigation of its function in regulating leaf rolling in rice.DNA sequencing identified a single base change(G to T)in the finely mapped region(11 kb)containing rl(t),and this is located in 30-untranslated region(30-UTR)of the only predicted gene,Roc5(Rice outermost cell-specific).The expression level of Roc5 is significantly higher in the rl(t)mutant than in the wild-type.Using RNAi and overexpression analysis,we found that the expression level of Roc5 correlated with LRI and leaf bulliform area,and wasalso associated with leaf abaxial or adaxial rolling.These results confirmed that Roc5 controls leaf rolling in a dosage-dependent manner.Bioinformatics analysis revealed a conserved 17-nt sequence(called the GU-rich element)in the 30-UTR of HD-GL2(Homeodomain-Glabra2)family genes including Roc5.Based on the model of this element in regulating mRNA stability in mammals,we speculate that the single nucleotide change in this element accounts for the higher expression level of Roc5 in the rl(t)mutant compared to the wild-type,which ultimately leads to adaxial rolling of the leaf.This discovery further enhances our knowledge of the molecular mechanisms underlying leaf rolling in rice.

A novel immunogenomic signature to predict prognosis and reveal immune infiltration characteristics in pancreatic ductal adenocarcinoma

Background:The immune response in the tumor microenvironment(TME)plays a crucial role in cancer progression and recurrence.We aimed to develop an immune-related gene(IRG)signature to improve prognostic predictive power and reveal the immune infiltration characteristics of pancreatic ductal adenocarcinoma(PDAC).Methods:The Cancer Genome Atlas(TCGA)PDAC was used to construct a prognostic model as a training cohort.The International Cancer Genome Consortium(ICGC)and the Gene Expression Omnibus(GEO)databases were set as validation datasets.Prognostic genes were screened by using univariate Cox regression.Then,a novel optimal prognostic model was developed by using least absolute shrinkage and selection operator(LASSO)Cox regression.Cell type identification by estimating the relative subsets of RNA transcripts(CIBERSORT)and estimation of stromal and immune cells in malignant tumors using expression data(ESTIMATE)algorithms were used to characterize tumor immune infiltrating patterns.The tumor immune dysfunction and exclusion(TIDE)algorithm was used to predict immunotherapy responsiveness.Results:A prognostic signature based on five IRGs(MET,ERAP2,IL20RB,EREG,and SHC2)was constructed in TCGA-PDAC and comprehensively validated in ICGC and GEO cohorts.Multivariate Cox regression analysis demonstrated that this signature had an independent prognostic value.The area under the curve(AUC)values of the receiver operating characteristic(ROC)curve at 1,3,and 5 years of survival were 0.724,0.702,and 0.776,respectively.We further demonstrated that our signature has better prognostic performance than recently published ones and is superior to traditional clinical factors such as grade and tumor node metastasis classification(TNM)stage in predicting survival.Moreover,we found higher abundance of CD8+T cells and lower M2-like macrophages in the low-risk group of TCGA-PDAC,and predicted a higher proportion of immunotherapeutic responders in the low-risk group.Conclusions:We constructed an optimal prognostic model which had independent prognostic value and was comprehensively validated in external PDAC databases.Additionally,this five-genes signature could predict immune infiltration characteristics.Moreover,the signature helped stratify PDAC patients who might be more responsive to immunotherapy.

Rapid quantification of acid value in frying oil using iron tetraphenylporphyrin fluorescent sensor coupled with density functional theory and multivariate analysis

A metalloporphyrin-based fluorescent sensor was developed to determine the acid value in frying oil.The electronic and structural performances of iron tetraphenylporphyrin(FeTPP)were theoretically investigated using time-dependent density functional theory and density functional theory at the B3LYP/LANL2DZ level.The quantified FeTPP-based fluorescent sensor results revealed its excellent performance in discriminating different analytes.In the present work,the acid value of palm olein was determined after every single frying cycle.A total of 10 frying cycles were conducted each day for 10 consecutive days.The FeTPP-based fluorescent sensor was used to quantify the acid value,and the results were compared with the chemical data obtained by conventional titration method.The synchronous fluorescence spectrum for each sample was recorded.Parallel factor analysis was used to decompose the three-dimensional spectrum data.Then,the support vector regression(SVR),partial least squares,and back-propagation artificial neural network methods were applied to build the regression models.After the comparison of the constructed models,the SVR models exhibited the highest correlation coefficients among all models,with 0.9748 and 0.9276 for the training and test sets,respectively.The findings suggested the potential of FeTPP-based fluorescent sensor in rapid monitoring of frying oil quality and perhaps also in other foods with higher oil contents.

Querying Linked Data Based on Hierarchical Multi-Hop Ranking Model

How to query Linked Data effectively is a challenge due to its heterogeneous datasets.There are three types of heterogeneities,i.e.,different structures representing entities,different predicates with the same meaning and different literal formats used in objects.Approaches based on ontology mapping or Information Retrieval(IR) cannot deal with all types of heterogeneities.Facing these limitations,we propose a hierarchical multi-hop language model(HMPM).It discriminates among three types of predicates,descriptive predicates,out-associated predicates and in-associated predicates,and generates multi-hop models for them respectively.All predicates' similarities between the query and entity are organized into a hierarchy,with predicate types on the first level and predicates of this type on the second level.All candidates are ranked in ascending order.We evaluated HMPM in three datasets,DBpedia,Linked MDB and Yago.The results of experiments show that the effectiveness and generality of HMPM outperform the existing approaches.