Genomic selection of eight fruit traits in pear

Genomic selection (GS) has the potential to improve selection efficiency and shorten the breeding cycle in fruit tree breeding. In this study,we evaluated the effect of prediction methods, marker density and the training population (TP) size on pear GS for improving its performance and reducing cost. We evaluated GS under two scenarios:(1) five-fold cross-validation in an interspecific pear family;(2) independent validation. Based on the cross-validation scheme, the prediction accuracy (PA) of eight fruit traits varied between 0.33 (fruit core vertical diameter)and 0.65 (stone cell content). Except for single fruit weight, a slightly better prediction accuracy (PA) was observed for the five parametrical methods compared with the two non-parametrical methods. In our TP of 310 individuals, 2 000 single nucleotide polymorphism (SNP) markers were sufficient to make reasonably accurate predictions. PAs for different traits increased by 18.21%-46.98%when the TP size increased from 50to 100, but the increment was smaller (-4.13%-33.91%) when the TP size increased from 200 to 250. For independent validation, the PAs ranged from 0.11 to 0.45 using rrBLUP method. In summary, our results showed that the TP size and SNP numbers had a greater impact on the PA than prediction methods. Furthermore, relatedness among the training and validation sets, and the complexity of traits should be considered when designing a TP to predict the test panel.

Multi-layer network embedding on scc-based network with motif

Interconnection of all things challenges the traditional communication methods,and Semantic Communication and Computing(SCC)will become new solutions.It is a challenging task to accurately detect,extract,and represent semantic information in the research of SCC-based networks.In previous research,researchers usually use convolution to extract the feature information of a graph and perform the corresponding task of node classification.However,the content of semantic information is quite complex.Although graph convolutional neural networks provide an effective solution for node classification tasks,due to their limitations in representing multiple relational patterns and not recognizing and analyzing higher-order local structures,the extracted feature information is subject to varying degrees of loss.Therefore,this paper extends from a single-layer topology network to a multi-layer heterogeneous topology network.The Bidirectional Encoder Representations from Transformers(BERT)training word vector is introduced to extract the semantic features in the network,and the existing graph neural network is improved by combining the higher-order local feature module of the network model representation network.A multi-layer network embedding algorithm on SCC-based networks with motifs is proposed to complete the task of end-to-end node classification.We verify the effectiveness of the algorithm on a real multi-layer heterogeneous network.

Research on Deformation and Force of Bridge Pile Foundation on High and Steep Slope in Mountainous Area

With the rapid development of my country’s economy, the demand for infrastructure construction is also increasing. However, in most areas of China, the terrains are mountainous and hilly. Some projects have to be built on steep slopes. Choosing viaducts or half-bridges on high-steep slopes is not only conducive to the protection of the surrounding environment, but also conducive to the stability of the slope. Bridges usually choose the form of pile foundation-high pier bridge. This paper uses numerical simulation to study and analyze the bridge pile foundation of the slope section. Relying on actual engineering, use the finite element software ABAQUS6.14 to establish a three-dimensional finite element model to study the bearing mechanism and mechanical characteristics of the pile foundation under vertical load, horizontal load and inclined load, discuss the influence of the nature of the soil around the pile and the stiffness of the pile body on the deformation and internal force of the bridge pile foundation in the slope section. The analysis results show that the horizontal load has a great influence on the horizontal displacement of the pile, but has a small influence on the vertical displacement, and the vertical load is just the opposite. Inclined load has obvious “p-Δ” effect. The increase in soil elastic modulus and pile stiffness will reduce the displacement of the pile foundation, but after reaching a certain range, the displacement of the pile foundation will tend to be stable. Therefore, in actual engineering, if the displacement of the pile foundation fails to meet the requirements, the hardness of the soil and the stiffness of the pile can be appropriately increased, but not blindly.

The Variation of Stone Cell Content in 236 Germplasms of Sand Pear(Pyrus pyrifolia)and Identification of Related Candidate Genes

Stone cells have been described to substantially influence pear fruit quality,as lignin and cellulose are the main components of stone cells.However,there are limited studies on the relationship between the variation and molecular basis of stone cells,lignin and cellulose content among different pear varieties.Here,to reveal the variation of stone cell content within different cultivated species,we collected 236 germplasms of sand pear(Pyrus pyrifolia)at 50 days after flower blooming(DAFB),the key stage of stone cell formation.In our results,we measured the content of stone cells,lignin and cellulose and found that these contents ranged from2.82%to 29.00%,8.84%to 55.30%and 11.52%to 30.55%,respectively.Further analysis showed that the variation coefficient of stone cell,lignin and cellulose content was 39.10%,28.03%and 16.71%,respectively.Additionally,a significant correlation between stone cell,lignin and cellulose content were detected,and the correlation coefficient between the contents of stone cell and lignin(0.912)was higher than between the contents of stone cell and cellulose(0.796).Moreover,the average lignin content(29.73%)was higher than the average cellulose content(18.03%)in stone cells in pear fruits,indicating that lignin is the main component of stone cell in pears.Finally,on the basic of the transcriptome data,we identified 10 transcription factors belonging to bHLH,ERF,MYB,and NAC transcript families,which might be involved in lignin formation in stone cells.qRT-PCR experiments verified coincident trends between expression of candidate genes and stone cell content.This research laid foundation for future studies on genetic variation of stone cells in pear fruits and provided important gene resources for stone cell regulation.

Does nitrogen fertilization impact nonstructural carbohydrate storage in evergreen Podocarpus macrophyllus saplings?

Nonstructural carbon(NSC),which represents the relationship between the carbon source and carbon sink,is an important factor that reflects the functions and performance of a tree.However,little is known regarding the timeseries responses of NSC storage in evergreen species to different nitrogen(N)fertilization regimes.This study,which was based on a pot experiment,examined the response of the NSC(soluble sugars and starch storage to different N addition intensities[light N addition(LN):6.5 g N m^(-2)a^(-1);moderate N addition(MN):13.0 g N m^(-2)a^(-1);and heavy N addition(HN):26.0 g N m^(-2)a^(-1))]in saplings of the evergreen species Podocarpus macrophyllus.Our results showed that the net photosynthetic rate(P_(n))under MN was significantly higher than that under LN,but was comparable to that under HN.Moreover,saplings subject to MN had a significant higher leaf biomass than that to LN and HN.These results indicated that the C supply via photosynthesis under MN was greater than that under LN and HN.The NSCs reserve under MN was considerable with that under LN,which suggested that saplings in MN group consumed higher and stored lower properties of NSCs than those in LN group.However,saplings under HN stored higher properties of NSCs than those under MN considering that no difference in NSCs pools was found between the two treatments.The leaf N concentrations were found in the increasing sequence of LN<MN<HN,whilst the leaf chlorophyll concentration under HN was obviously lower than that under MN.The growth rate under MN was higher than that under LN and HN.We concluded that the NSCs allocation between con-sumption and reserve in P.macrophyllus saplings depended on soil N availability,and an excessive N addition to soil favors the storage rather than the consumption of NSCs by plants.

Experimental Study on Chloride Ion Penetration Resistance of Coal Gangue Concrete under Multi-Factor Comprehensive Action

In order to investigate the chloride ion penetration resistance of coal gangue concrete under multi-factor comprehensive action, the non-steady-state accelerated chloride ion migration test was used to test the chloride diffusion law of coal gangue concrete specimens by crack width, curing temperature and water-cement ratio. Three groups of crack width (0 mm, 0.05 - 0.12 mm, 0.12 - 0.2 mm), three curing temperatures (high temperature 45, medium temperature 25, low temperature 10), three water cement ratios (0.3, 0.4, 0.5) were set in the experiment. The results show that when the curing temperature and water cement ratio are constant, the crack width less than 0.12 mm has little effect on the chloride content and chloride diffusion coefficient. When the crack width is larger than 0.12 mm, the chloride penetration depth increases with the crack width. The resistance to chloride ion penetration of gangue concrete is greatly influenced by the water cement ratio. The influ-ence degree of three factors on chloride ion migration coefficient of gangue concrete is as follows: water cement ratio > crack width > curing temperature.

Negative thermal expansion in NbF_(3)and NbOF_(2):A comparative theoretical study

Thermal expansion control is always an obstructive factor and challenging in high precision engineering field.Here,the negative thermal expansion of NbF_(3)and NbOF_(2)was predicted by first-principles calculation with density functional theory and the quasi-harmonic approximation(QHA).We studied the total charge density,thermal vibration,and lattice dynamic to investigate the thermal expansion mechanism.We found that the presence of O induced the relatively strong covalent bond in NbOF_(2),thus weakening the transverse vibration of F and O in NbOF_(2),compared with the case of NbF_(3).In this study,we proposed a way to tailor negative thermal expansion of metal fluorides by introducing the oxygen atoms.The present work not only predicts two NTE compounds,but also provides an insight on thermal expansion control by designing chemical bond type.

Pd-Catalyzed Dienylation of Propargylic Esters Enabling Highly Stereoselective Synthesis of Danishefsky-Type Trisubstituted Dienes

The stereochemical synthesis of highly substituted Danishefsky-type dienes remains unsolved in organic chemistry.We describe a simple and efficient approach for the stereoselective synthesis of Danishefsky-type trisubstituted dienes from readily available propargylic esters via Pd-catalyzed dienylation reaction through the key intermediate metallacyclobutene in a regio-,chemo-and stereoselective fashion.This method facilitates a broad range of challenging trisubstituted dienes with a high level of stereocontrol.

Multi-timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids:State-of-the-art and Perspectives

The increasing trend for integrating renewable energy sources into the grid to achieve a cleaner energy system is one of the main reasons for the development of sustainable microgrid(MG)technologies.As typical power-electronized power systems,MGs make extensive use of power electronics converters,which are highly controllable and flexible but lead to a profound impact on the dynamic performance of the whole system.Compared with traditional large-capacity power systems,MGs are less resistant to perturbations,and various dynamic variables are coupled with each other on multiple timescales,resulting in a more complex system instability mechanism.To meet the technical and economic challenges,such as active and reactive power-sharing,voltage,and frequency deviations,and imbalances between power supply and demand,the concept of hierarchical control has been introduced into MGs,allowing systems to control and manage the high capacity of renewable energy sources and loads.However,as the capacity and scale of the MG system increase,along with a multi-timescale control loop design,the multi-timescale interactions in the system may become more significant,posing a serious threat to its safe and stable operation.To investigate the multi-timescale behaviors and instability mechanisms under dynamic inter-actions for AC MGs,existing coordinated control strategies are discussed,and the dynamic stability of the system is defined and classified in this paper.Then,the modeling and assessment methods for the stability analysis of multi-timescale systems are also summarized.Finally,an outlook and discussion of future research directions for AC MGs are also presented.

Numerical simulation of the drag and heat-transfer characteristics around and through a porous particle based on the lattice Boltzmann method

Porous particle flow is universal in nature and industry.However,in previous numerical simulations,porous particles have usually been assumed to be solid.It is necessary to study the flow and heat-transfer characteristics around porous particles because they are greatly different from those of impermeable particles.In this study,two-dimensional steady flow and heat transfer around and through a porous particle with a constant temperature placed in a cold fluid were numerically investigated.The effects of the Reynolds number(Re)and Darcy number(Da)on the flow and heat-transfer characteristics were investigated in detail.The investigated ranges of the parameters were 10≤Re≤40 and 10^(−6)≤Da≤10^(−2).It is sophisticated to simulate porous particles with traditional simulation methods because of their complicated structure.Therefore,the lattice Boltzmann method was used to solve the generalized macroscopic governing equations because of its simplicity.The drag coefficient decreased with increasing Re or Da,but the decrease was not prominent in the range 10^(−6)≤Da≤10^(−4).The heat-transfer efficiency of the front surface was much stronger than that of the rear surface.The heat-transfer efficiency between the particle and the fluid increased with increasing Re or Da.However,for 10^(−6)≤Da≤10^(−4),the increase was not prominent and the heat-transfer enhancement ratio was slightly larger than one.Furthermore,the effect of Da became more prominent at larger Re.In addition,new correlations for the drag coefficient and surface-averaged Nusselt number were obtained based on the simulated results.

Metal-coordinated porous polydopamine nanospheres derived Fe_(3)N-FeCo encapsulated N-doped carbon as a highly efficient electrocatalyst for oxygen reduction reaction

The exploration of high-efficiency,long-durability,and cost-effectiveness transition metal doped carbon materials to replace the commercial Pt/C in oxygen reduction reaction(ORR)is greatly desirable for promoting the advancement of sustainable energy devices.Herein,the Fe_(3)N and FeCo alloy decorated N-doped carbon hybrid material(denoted Fe_(3)N-FeCo@NC)is prepared and applied as the ORR catalyst,which is derived from the two-step pyrolysis of an intriguing complex consisted of metal-coordinated porous polydopamine(PDA)nanospheres(i.e.,Fe-PDA@Co)and melamine.The resulting Fe_(3)N-FeCo@NC delivers outstanding ORR activity with an onset potential(E_(on))of 1.05 V,a half-wave potential(E_(1/2))of 0.89 V,as well as excellent long-term stability and methanol resistance over Pt/C.Interestingly,the home-made Zn-air battery with Fe_(3)N-FeCo@NC as the air-cathode demonstrates much higher open-circuit voltage(1.50 vs.1.48 V),power density(141 vs.113 mW·cm^(−2))and specific capacity(806.6 vs.660.6 mAh·g^(−1)_(Zn))than those of Pt/C counterpart.Such a remarkable ORR activity of Fe_(3)N-FeCo@NC may stem from the synergistic effect of Fe_(3)N and FeCo active species,the large surface area,the hierarchical porous structure and the exceptional sphere/sheet hybridized architecture.

Porcine skeletal muscle tissue fabrication for cultured meat production using three-dimensional bioprinting technology

Cultured meat produced through in vitro cell culture technology is regarded as a technical revolution.In this study,three-dimensional(3D)bioprinting technology was used to mimic the growth environment in vivo and construct a 3D culture system in vilro.Hydroge1 bioinks,namely,sodium alginate-gelatin and gelatin-methacrylate(GelMA)-silk fbroin,produced using two different curing processes were blended,and their rheological properties,mechanical properties,and biocompatibilities were compared.The 4%GelMA-20%silk fibroin hydroge1(GS2)demonstrated good performance and was hybridized with porcine skeleta1 muscle satellite cells for 3D printing to construct network structures of size 15 mm×15 mm and porosity 1000 um in 4-,6-,and 8-1ayer struchures.After 16 days of culture,4-and 6-1ayer grid structures formed compact muscle fbers organized by multinucleated myotubes.These results suggested that 3D bioprinting and GeIMA-silk fbroin hydrogels have great potential in fabricating porcine skeleta1 muscle tissue for use as cultured meat.

中国资本市场信息质量暨上市公司信息透明度指数白皮书

上市公司的信息透明度是维护资本市场公平、公正的核心,为了评估中国上市公司的信息质量和透明度水平,光华-罗特曼信息和资本市场研究中心联合新财富研制了中国上市公司信息透明度指数。