Z. Xiu, A. Salwe ´n, X. Qin, F. He and X. Sun iron. The investigations of the Fe-B-C system indicate that optimisation of carbon and boron content will probably give The eVect of addition of Fe-B-C master alloy powders a better balance among strength, ductility and shrinkage.8 on the sintering behaviour of iron-molybdenum The Fe-B-C phase diagram shows a ternary eutectic sintered steels has been investigated by dilatometric reaction occurring at 1097°C.9 experiments. The addition of the Fe-B-C master alloy Boron enhanced sintering of the Fe-1•5Mo powder with or powders to the Fe-Mo-B-C sintered steels can without carbon addition was investigated in recent years.10-12 activate the sintering process by liquid phase sinter-Boron was added in the form of ferroboron Fe-18 wt-%B ing. Liquid phases form owing to the reaction c-Fe+ powder10 or elemental boron powder (<5 mm).11,12 Carbon (Fe,Mo) 2 B+Fe 3 (B,C)ä L at 1097°C and the reaction was introduced by the addition of graphite powder. Dudrova c-Fe+Mo 2 C+Fe 3 Cä L at 1085°C. The temperature et al.10 measured the area fraction of the solidi ed eutectic of the liquid phase formation depends on the comphase of the sintered Fe-1•5Mo-B and found that boron positions and the amount of the master alloy powders.forms a whole range of borides with molybdenum, i.e. SEMQ analysis for the Fe-1•2Mo-0•4B-0•5C (wt-%) Mo 2 B, MoB and MoB 2 . However, a full explanation of steel shows that grain boundary phase contains approxithe sintering behaviour of the Fe-Mo-B-C alloy system mately 5•0 wt-%Mo, much higher than that in the is diYcult since the interactions between elements are grains (approximately 0•95 wt-%Mo) and higher than complicated. that of the base powder Astaloy Mo (1•44 wt-%Mo).In the present study, the sintering behaviour and micro-This means that molybdenum diVuses from particle structure of iron-molybdenum sintered steels with addition to particle boundary to form borides and carbide of Fe-B-C ternary master alloy powders are investigated during sintering.PM/1020 by dilatometer experiments, scanning electron microprobe quantitative analysis (SEMQ) and scanning energy dispersive Dr Xiu
A new dihydrobenzofuran-type neolignan, picrasmalignan A (1), and a new sesterterpene lactone, 2'-isopicrasin A (4), were isolated from the stems of Picrasma quassioides Bennet, along with four known compounds, comprising two neolignans, 2 and 3, a sesterterpene lactone, 5, and a flavonol, 6. The structures of these compounds were determined by detailed analysis of NMR and MS data, and comparison with the literature data. Compounds 1-6 were tested for their anti-inflammatory activity, and 1-3 and 6 showed potent inhibitory activities on nitric oxide, tumor necrosis factor-α, and interleukin-6 production in mouse monocyte-macrophage RAW 264.7 stimulated by lipopolysaccharide (LPS).
Bone marrow smear examination is an indispensable diagnostic tool in the evaluation of hematological diseases, but the process of manual differential count is labor extensive. In this study, we developed an automatic system with integrated scanning hardware and machine learning-based software to perform differential cell count on bone marrow smears to assist diagnosis. The initial development of the artificial neural network was based on 3000 marrow smear samples retrospectively archived from Sir Run Run Shaw Hospital affiliated to Zhejiang University School of Medicine between June 2016 and December 2018. The preliminary field validating test of the system was based on 124 marrow smears newly collected from the Second Affiliated Hospital of Harbin Medical University between April 2019 and November 2019. The study was performed in parallel of machine automatic recognition with conventional manual differential count by pathologists using the microscope. We selected representative 600,000 marrow cell images as training set of the algorithm, followed by random captured 30,867 cell images for validation. In validation, the overall accuracy of automatic cell classification was 90.1% (95% CI, 89.8–90.5%). In a preliminary field validating test, the reliability coefficient (ICC) of cell series proportion between the two analysis methods were high (ICC ≥ 0.883, P < 0.0001) and the results by the two analysis methods were consistent for granulocytes and erythrocytes. The system was effective in cell classification and differential cell count on marrow smears. It provides a useful digital tool in the screening and evaluation of various hematological disorders.
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