Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns

Identifying the presence of anti-nuclear antibody (ANA) in human epithelial type 2 (HEp-2) cells via the indirect immunofluorescence (IIF) protocol is commonly used to diagnose various connective tissue diseases in clinical pathology tests. As it is a labour and time intensive diagnostic process, several computer aided diagnostic (CAD) systems have been proposed. However, the existing CAD systems suffer from numerous shortcomings due to the selection of features, which is commonly based on expert experience. Such a choice of features may not work well when the CAD systems are retasked to another dataset. To address this, in our previous work, we proposed a novel approach that learns a set of filters from HEp-2 cell images. It is inspired by the receptive fields in the mammalian's vision system, since the receptive fields can be thought as a set of filters for similar shapes. We obtain robust filters for HEp-2 cell classification by employing the independent component analysis (ICA) framework. Although, this approach may be held back due to one particular problem; ICA learning requires a sufficiently large volume of training data which is not always available. In this paper, we demonstrate a biologically inspired solution to address this issue via the use of spontaneous activity patterns (SAP). The spontaneous activity patterns, which are related to the spontaneous neural activities initialised by the chemical release in the brain, are found as the typical stimuli for the visual cell development of newborn animals. In the classification system for HEp-2 cells, we propose to model SAP as a set of small image patches containing randomly positioned Gaussian spots. The SAP image patches are generated and mixed with the training images in order to learn filters via the ICA framework. The obtained filters are adopted to extract the set of responses from a HEp-2 cell image. We then employ regions from this set of responses and stack them into “cubic regions”, and apply a classification based on the correlation information of the features. We show that applying the additional SAP leads to a better classification performance on HEp-2 cell images compared to using only the existing patterns for training ICA filters. The improvement on classification is particularly significant when there are not enough specimen images available in the training set, as SAP adds more variations to the existing data that makes the learned ICA model more robust. We show that the proposed approach consistently outperforms three recently proposed CAD systems on two publicly available datasets: ICPR HEp-2 contest and SNPHEp-2.     

石墨烯基气凝胶的制备及油吸附性能研究进展

海上漏油的频繁发生以及采油废水、工业含油污水的大量排放造成水资源大片污染和生态系统平衡的严重破坏。目前，从水体中分离油品和有机污染物已受到越来越多的商业和学术的关注。石墨烯基气凝胶是由二维石墨烯片层组装成的三维宏观材料，因其孔隙率高、比表面积大、密度低、机械性能强等特点在油水分离领域具有广阔的应用前景，已成为当今的研究热点之一。本文结合最新研究进展系统地总结了石墨烯基气凝胶的结构设计、组装及干燥方法，归纳了近年来其在油水分离中的应用进展，并对石墨烯基气凝胶在油水分离领域的研究现状和未来研究方向做了简要评述，以期为该领域的深入探索提供新的视角。     

悬浮法合成固体粒状丙烯酸树脂

研究了悬浮法合成固体丙烯酸树脂颗粒。讨论了不同软硬单体配比对丙烯酸树脂颗粒的玻璃化转变温度、相对分子质量及其分布的影响以及不同的引发剂及悬浮剂对其聚合过程、最终产物形态及上述性能的影响。制得的丙烯酸树脂的数均相对分子质量用凝胶渗透色谱(GPC)测定为3.9×104～6.2×104,相对分子质量分布为2.04～2.32;用红外光谱图表征了制得的丙烯酸树脂结构。差示扫描量热法(DSC)测定了聚合物的玻璃化转变温度(Tg)。     

Removal of formaldehyde at low concentration using various activated carbon fibers

Adsorption of low concentration formaldehyde on pitch‐based, rayon‐based, and PAN‐based activated carbon fibers (ACFs) and an unactivated PAN‐based carbon fiber (PAN‐CF) was investigated by a dynamic method. The pore structure and surface chemistry of these samples were characterized by liquid nitrogen adsorption, elemental analysis, and X‐ray photoelectron spectroscopy. Results revealed that the pore structure, especially surface chemical composition, greatly influence the formaldehyde adsorption. PAN‐based ACFs showed the highest formaldehyde adsorption capacity because there are more abundant nitrogen‐containing groups, especially pyrrolic, pyridonic, pyridinic, and quaternary on the surface. The breakthrough time and formaldehyde adsorption capacity of one kind of PAN‐ACF were 361 min and 0.478 mmol/g, respectively. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci, 2007     

新型离子液体气相色谱固定相研究

合成了一种用作新型气相色谱固定相的室温离子液体[C7H17NO] [(CF3SO2)2N]-,并考察其色谱性能。该固定相具有较好的成膜性、较高的柱效、较强的极性,对正构烷烃、芳香族化合物以及一些位置异构体具有良好的分离效果。     

福莫司汀的合成

以亚磷酸三乙酯为起始原料．经酰化、缩合、还原、酰化、亚硝化反应，合成了福莫司汀，结构经核磁共振氢谱、经红外确证，总收率32．8％。     

半导体纳米晶体制备及应用进展

综述了量子点的制备及应用进展     

Phase Assemblages of Pr α-sialon Derived from SHS-ed Powders and TEM Study on the Nucleation of Pr α-sialon

The Pr α-sialon powders prepared by self-propagating high-temperature synthesis (SHS), consisting of 55 wt% Pr α-sialon and 45 wt% of β-sialon (abbreviated as α' and β'), were hot-pressed at 1800°C for 1 h. The results showed that Pr α' phase would transfer to β' with the appearance of JEM phase (Pr(Si_{6− z} Al _z )(N_{10− z} O _z )) after sintering, thus resulting in the increase of β' phase to 86 wt%. The addition of Y₂O₃ into SHS-ed Pr α' powders as the starting materials restrains the transformation of α' to β' and prevents the formation of JEM phase as well. The nucleation mechanism of Pr α' grain during hot-pressing was investigated in terms of transmission electron microscope and energy-dispersive spectrometer analysis. Two nucleation modes of Pr α' grains were found, i.e., nucleating on the undissolved Pr α' grains and on the nuclei of (Pr, Y) α' grains precipitated from liquid phase.     

含硫化合物在羰基钴盐合成中的应用

研究了利用低价含硫化合物的强配位能力和还原性及它作为助剂催化引发氯化钴的羰化反应的工艺条件，以便在较低的ＣＯ压力下合成四羰基钴盐。对几种常见含硫化合物的引发反应效果进行了对比。结果表明少量的含硫化合物可以引发钴盐的羰化反应，过多的添加则会阻断氯苄羰化反应的催化作用。     

基体韧性对PS改性PVC体系性能的影响

研究了PS对未增韧PVC体系及用CPE预增韧PVC体系韧性的影响,发现在用CPE预增韧PVC基体后,PS的增韧效果更为显著,但增韧机理井无改变,仍可用"空穴增韧"的机理来解释。