Heterogeneity in optimized solid-state synthesis of metavanadate AVO3 (A = Rb,Cs)

Research on Chemical Intermediates - Methanol was used to optimize the solid-state synthesizing method of alkali metavanadates AVO3 (A = Rb, Cs) for the first time and the...     

An Improved Human-Body-Segmentation Algorithm with Attention-Based Feature Fusion and a Refined Stereo-Matching Scheme Working at the Sub-Pixel Level for the Anthropometric System

This paper proposes an improved human-body-segmentation algorithm with attention-based feature fusion and a refined corner-based feature-point design with sub-pixel stereo matching for the anthropometric system. In the human-body-segmentation algorithm, four CBAMs are embedded in the four middle convolution layers of the backbone network (ResNet101) of PSPNet to achieve better feature fusion in space and channels, so as to improve accuracy. The common convolution in the residual blocks of ResNet101 is substituted by group convolution to reduce model parameters and computational cost, thereby optimizing efficiency. For the stereo-matching scheme, a corner-based feature point is designed to obtain the feature-point coordinates at sub-pixel level, so that precision is refined. A regional constraint is applied according to the characteristic of the checkerboard corner points, thereby reducing complexity. Experimental results demonstrated that the anthropometric system with the proposed CBAM-based human-body-segmentation algorithm and corner-based stereo-matching scheme can significantly outperform the state-of-the-art system in accuracy. It can also meet the national standards GB/T 2664-2017, GA 258-2009 and GB/T 2665-2017; and the textile industry standards FZ/T 73029-2019, FZ/T 73017-2014, FZ/T 73059-2017 and FZ/T 73022-2019.     

Antitumor Activity and Mechanism of Action of the Antimicrobial Peptide AMP-17 on Human Leukemia K562 Cells

Cancer is one of the most common malignant diseases in the world. Hence, there is an urgent need to search for novel drugs with antitumor activity against cancer cells. AMP-17, a natural antimicrobial peptide derived from Musca domestica, has antimicrobial activity against Gram-positive bacteria, Gram-negative bacteria, and fungi. However, its antitumor activity and potential mechanism of action in cancer cells remain unclear. In this study, we focused on evaluating the in vitro antitumor activity and mechanism of AMP-17 on leukemic K562 cells. The results showed that AMP-17 exhibited anti-proliferative activity on K562 cells with an IC₅₀ value of 58.91 ± 3.57 μg/mL. The membrane integrity of K562 was disrupted and membrane permeability was increased after AMP-17 action. Further observation using SEM and TEM images showed that the cell structure of AMP-17-treated cells was disrupted, with depressions and pore-like breaks on the cell surface, and vacuolated vesicles in the cytoplasm. Furthermore, further mechanistic studies indicated that AMP-17 induced excessive production of reactive oxygen species and calcium ions release in K562 cells, which led to disturbance of mitochondrial membrane potential and blocked ATP synthesis, followed by activation of Caspase-3 to induce apoptosis. In conclusion, these results suggest that the antitumor activity of AMP-17 may be achieved by disrupting cell structure and inducing apoptosis. Therefore, AMP-17 is expected to be a novel potential agent candidate for leukemia treatment.     

基于近场声压传感的结构声辐射有源控制

为了解决有源声学结构中误差信息的传感问题,提出利用近场声压估算结构声辐功率的方法。首先推导了基于近场声压的声辐射功率计算公式,然后针对单频和宽带辐射噪声,提出了不同的有源控制目标函数,推粤了相应的计算有源控制效果的公式,并借助计算机仿真研究了影响有源控制效果的各种因素。最后探讨了实际条件下实现有源控制误差信息传感的各种方法。结果表明:有限阶声压辐射模态和近场均方声压都可以作为自适应声学结构的目标函数。     

一个新的铜(Ⅱ)配合物的合成、结构与抗微生物活性研究

利用苯妥英,二(3-氨基丙基)胺与醋酸铜反应合成了一种新的铜三元配合物[Cu(pht)2(bapa)](CH3OH)[Hpht:苯妥英(5,5-Diphenylhydantion);bapa:二(3-氨基丙基)胺(bis(3-aminopropyl)amine)].通过元素分析、红外光谱和X射线单晶衍射确定了其组成和结构.配合物属于三斜晶系,空间群为Pī.晶胞参数:a=0.84190(10)nm,b=1.37540(15)nm,c=1.5622(2)nm,α=86.038(3)°,β=82.542(2)°,γ=83.904(2)°;V=1.7807(4)nm3,Mr=729.32,Z=2,F(000)=766,Dc=1.360 g/cm3,μ=0.666 mm-1,R1=0.0692,wR2=0.1430.配合物中铜离子配位数为5,处于变形三角双锥配位环境中.测试了配合物、配体和铜盐的抑菌活性,结果表明,它们对4种细菌均有一定的活性.     

双周期厚度调制的多量子阱的透射谱

采用传输矩阵方法,研究了一维双周期厚度调制的多量子阱的透射谱.当量子阱的宽度被周期性地调制时,在原来的单一周期势的禁带中出现了一些窄带,落在这些窄带内的电子具有较强的局域性.     

A STUDY OF LOW CYCLE FATIGUE PROPERTIES OF MATERIALS BASED ON THE FUNNEL-SHEET SPECIMENS1)

根据能量等效方法,针对漏斗薄片试样,提出了关联Ramberg-Osgood 幂律参数、试样几何参数的载荷-位移半解析统一模型。采用有限元数值模拟,正、反向验证了该模型的有效性。在此基础上,提出了通过漏斗薄片试样低循环试验实现材料低周疲劳性能的预测方法。基于薄片试样低循环试验数据,完成了SS316L, N18及SAPH440 三种材料的低周疲劳性能预测,预测结果与标准试样试验结果具有良好的一致性。并利用该方法完成了N18与SAPH在不同温度条件下的低周疲劳性能预测。     

Characterisation of Flavour Attributes in Egg White Protein Using HS-GC-IMS Combined with E-Nose and E-Tongue: Effect of High-Voltage Cold Plasma Treatment Time

Egg white protein (EWP) is susceptible to denaturation and coagulation when exposed to high temperatures, adversely affecting its flavour, thereby influencing consumers’ decisions. Here, we employ high-voltage cold plasma (HVCP) as a novel nonthermal technique to investigate its influence on the EWP’s flavour attributes using E-nose, E-tongue, and headspace gas-chromatography-ion-mobilisation spectrometry (HS-GC-IMS) due to their rapidness and high sensitivity in identifying flavour fingerprints in foods. The EWP was investigated at 0, 60, 120, 180, 240, and 300 s of HVCP treatment time. The results revealed that HVCP significantly influences the odour and taste attributes of the EWP across all treatments, with a more significant influence at 60 and 120 s of HVCP treatment. Principal component analyses of the E-nose and E-tongue clearly distinguish the odour and taste sensors’ responses. The HS-GC-IMS analysis identified 65 volatile compounds across the treatments. The volatile compounds’ concentrations increased as the HVCP treatment time was increased from 0 to 300 s. The significant compounds contributing to EWP characterisation include heptanal, ethylbenzene, ethanol, acetic acid, nonanal, heptacosane, 5-octadecanal, decanal, p-xylene, and octanal. Thus, this study shows that HVCP could be utilised to modify and improve the EWP flavour attributes.