预测典型变形高温合金均匀化动力学的新模型

提出一种基于扩散距离概念的变形高温合金均匀化动力学新预测模型。通过定量电子探针(EPMA)分析,系统研究典型镍基变形高温合金(GH4141)的微观偏析和均匀化动力学。研究发现,基于残余偏析指数模型预测的均匀化动力学与实际测量结果之间存在一定差异。实验和理论分析均表明,考虑了过去通常被忽略的扩散方向因子的一维扩散距离模型可以合理地预测均化动力学。新模型在只需知道原始枝晶臂间距和扩散系数前提下即可完成预测计算,这为变形高温合金均匀化动力学预测提供了一种新的选择。

Blastic plasmacytoid dendritic cell neoplasm in Jinhua,China:Two case reports

BACKGROUND Blastic plasmacytoid dendritic cell neoplasm(BPDCN)is a rare and clinically aggressive hematologic malignancy originating from the precursors of plasmacytoid dendritic cells.BPDCN often involves the skin,lymph nodes,and bone marrow,with rapid clinical progression and a poor prognosis.The BPDCN diagnosis is mainly based on the immunophenotype.CASE SUMMARY In this paper,we retrospectively analyzed 2 cases of BPDCN.Both patients were elderly males.The lesions manifested as skin masses.Morphological manifestations included diffuse and dense tumor cell infiltration of the dermis and subcutaneous tissues.Immunohistochemistry staining showed that cluster of differentiation CD4,CD56,CD43,and CD123 were positive.CONCLUSION In this paper,we retrospectively analyzed 2 cases of BPDCN.Both patients were elderly males.The lesions manifested as skin masses.Morphological manifestations included diffuse and dense tumor cell infiltration of the dermis and subcutaneous tissues.Immunohistochemistry staining showed that cluster of differentiation CD4,CD56,CD43,and CD123 were positive.

Clinical risk factors for preterm birth and evaluating maternal psychology in the postpartum period

BACKGROUND Although the specific pathogenesis of preterm birth(PTB)has not been thoroughly clarified,it is known to be related to various factors,such as pregnancy complications,maternal socioeconomic factors,lifestyle habits,reproductive history,environmental and psychological factors,prenatal care,and nutritional status.PTB has serious implications for newborns and families and is associated with high mortality and complications.Therefore,the prediction of PTB risk can facilitate early intervention and reduce its resultant adverse consequences.AIM To analyze the risk factors for PTB to establish a PTB risk prediction model and to assess postpartum anxiety and depression in mothers.METHODS A retrospective analysis of 648 consecutive parturients who delivered at Shenzhen Bao’an District Songgang People’s Hospital between January 2019 and January 2022 was performed.According to the diagnostic criteria for premature infants,the parturients were divided into a PTB group(n=60)and a full-term(FT)group(n=588).Puerperae were assessed by the Self-rating Anxiety Scale(SAS)and Self rating Depression Scale(SDS),based on which the mothers with anxiety and depression symptoms were screened for further analysis.The factors affecting PTB were analyzed by univariate analysis,and the related risk factors were identified by logistic regression.RESULTS According to univariate analysis,the PTB group was older than the FT group,with a smaller weight change and greater proportions of women who underwent artificial insemination and had gestational diabetes mellitus(P<0.05).In addition,greater proportions of women with reproductive tract infections and greater white blood cell(WBC)counts(P<0.05),shorter cervical lengths in the second trimester and lower neutrophil percentages(P<0.001)were detected in the PTB group than in the FT group.The PTB group exhibited higher postpartum SAS and SDS scores than did the FT group(P<0.0001),with a higher number of mothers experiencing anxiety and depression(P<0.001).Multivariate logistic regression analysis revealed that a greater maternal weight change,the presence of gestational diabetes mellitus,a shorter cervical length in the second trimester,a greater WBC count,and the presence of maternal anxiety and depression were risk factors for PTB(P<0.01).Moreover,the risk score of the FT group was lower than that of the PTB group,and the area under the curve of the risk score for predicting PTB was greater than 0.9.CONCLUSION This study highlights the complex interplay between postpartum anxiety and PTB,where maternal anxiety may be a potential risk factor for PTB,with PTB potentially increasing the incidence of postpartum anxiety in mothers.In addition,a greater maternal weight change,the presence of gestational diabetes mellitus,a shorter cervical length,a greater WBC count,and postpartum anxiety and depression were identified as risk factors for PTB.

Oxidation and internal nitridation behaviors of a Ni-based superalloy Rene 65 during high-temperature homogenization

Homogenization heat treatment is a key process to remove the micro-segregation and re-dissolve the undesired phases for wrought superalloy.The oxidation behavior of the wrought superalloy during the high-temperature homogenization process,however,was rarely studied.The oxidation film evolution and growth kinetics of an as-cast superalloy Rene 65 during the homogenization were systematically studied.The oxide film consists of Cr_(2)O_(3) external oxidation layer and dendritic TiO_(2) and Al_(2)O_(3) internal oxidation layer.And the growth kinetics of the oxide film followed a parabolic law.Internal nitridation occurs during the oxidation process,and TiN is apparently formed at the tip of internal oxidation layer.The originally formed TiN can be transformed into TiO_(2) or retained with the progress of oxidation.Meanwhile,the TiN is newly formed in the deeper matrix at the new oxidation-layer tip.Thermodynamic analyses revealed that there is a competition between the oxidation and nitridation.Nitridation can occur when the partial pressure of nitrogen exceeds the threshold of nitridation and the critical partial pressure ratio of nitrogen and oxygen.

Revealing layer-dependent interlayer interactions by doping effect on graphene in WSe_(2)/N-layer graphene heterostructures using Raman and photoluminescence spectroscopy

Assembling layered materials in the form of vertically stacked heterostructures has enabled the combination of various properties from different two-dimensional(2D)materials,which is receiving a great deal of attention for investigating novel physical phenomena and emerging a facile way to fabricate promising highly tailored architectures.

Synthesis of Conjugated Polymers Containing Diketopyrrolopyrrole(DPP)Building Block and the Photophysical Study

Sonogashira coupling of two different diketopyrrolopyrrole (DPP)-containing dihaloarenes with the same aromatic bisalkyne resulted in two new conjugated polymers with the same backbone but different pendant groups on the DPP moiety. The polymers were found to have designed chemical structures via structural characterizations in comparison with three monomers. The molecular weight measurement further demonstrated the formation of polymers with polydispersity index around 2, consistent with the polycondensation nature of the polymerization based on Sonogashira coupling. Both polymers could dissolve in many organic solvents, and the one with long alkyl side group on DPP moiety had better solubility. Photophysical investigation showed that both polymers had typical absorption/emission of conjugated polymers, and varying the solvent did not have large influence. Compared with other polar solvents, toluene reduced the quantum yield of fluorescence of the polymers, especially for the one with long alkyl pedant group, accompanying with slight red-shift in absorption/emission. The difference in the absorption/emission wavelengths between the polymers was similar to that between the corresponding monomers. Adding water into the THF solution of polymers reduced the emission intensity but no redshift was observed. Discussion about the structure-property relationships was carried out in detail.

Role of radiative and convective heat transfer during heating of an ingot product in a tubular furnace:experiment and simulation

Convective heat transfer and radiative heat transfer are two essential heat transfer modes in the heating process of steel;it is important to understand the role of them during the heating process clearly.The effects of the convective and radiative heat transfer during the heating process of a cast ingot in a tubular furnace have been studied by the designed natural and forced convection experiments and mathematical simulations.The heating time for the center of the ingot to reach the furnace temperature is decreased with the increase in furnace temperature.According to the experimental and simulation results,a model is proposed regarding the role of radiative and convective heat transfer in the heating process.At low temperature,the convective heat transfer plays a dominant role,while at high temperature,the influence of radiative heat transfer is larger.And a critical temperature exists between them.The forced convective heat transfer can enhance the influence of the convective heat transfer.The critical temperature can be shifted to higher temperatures.

Pre-Train and Learn: Preserving Global Information for Graph Neural Networks

Graph neural networks(GNNs)have shown great power in learning on graphs.However,it is still a challenge for GNNs to model information faraway from the source node.The ability to preserve global information can enhance graph representation and hence improve classification precision.In the paper,we propose a new learning framework named G-GNN(Global information for GNN)to address the challenge.First,the global structure and global attribute features of each node are obtained via unsupervised pre-training,and those global features preserve the global information associated with the node.Then,using the pre-trained global features and the raw attributes of the graph,a set of parallel kernel GNNs is used to learn different aspects from these heterogeneous features.Any general GNN can be used as a kernal and easily obtain the ability of preserving global information,without having to alter their own algorithms.Extensive experiments have shown that state-of-the-art models,e.g.,GCN,GAT,Graphsage and APPNP,can achieve improvement with G-GNN on three standard evaluation datasets.Specially,we establish new benchmark precision records on Cora(84.31%)and Pubmed(80.95%)when learning on attributed graphs.