QUANTIS: Data quality assessment tool by clustering analysis

Automatically generated kinetic networks are ideally validated against a large set of accurate, reproducible, and easy-to-model experimental data. However, although this might seem simple, it proves to be quite challenging. QUANTIS, a publicly available Python package, is specifically developed to evaluate both the precision and accuracy of experimental data and to ensure a uniform, quick processing, and storage strategy that enables automated comparison of developed kinetic models. The precision is investigated with two clustering techniques, PCA and t-SNE, whereas the accuracy is probed with checks for the conservation laws. First, the developed tool processes, evaluates, and stores experimental yield data automatically. All data belonging to a given experiment, both unprocessed and processed, are stored in the form of an HDF5 container. The demonstration of QUANTIS on three different pyrolysis cases showed that it can help in identifying and overcoming instabilities in experimental datasets, reduce mass and molar balance closure discrepancies, and, by evaluating the visualized correlation matrices, increase understanding in the underlying reaction pathways. Inclusion of all experimental data in the HDF5 file makes it possible to automate simulating the experiment with CHEMKIN. Because of the employed InChI string identifiers for molecules, it is possible to automate the comparison experiment/simulation. QUANTIS and the concepts demonstrated therein is a potentially useful tool for data quality assessment, kinetic model validation, and refinement.     

《聚合物成型加工》实践教学体系改革

从教学内容、教学方法、实验实践环节、考核方式等角度,深入分析了《聚合物成型加工》课程的教学现状,并在此基础上指出,目前单纯的理论教学与人才培养目标相悖,缺乏系统性的实验实践教学体系和多样化的课程考核方式。《聚合物成型加工》实践教学体系改革本着培养应用型人才的原则,从实际生产问题和研发前沿问题入手,由原来单纯的课堂教学模式改为课堂教学与实践环节相结合;考核也改为"书面作业+调研报告+项目答辩+实践操作+考试"的综合考核形式;并设计了系统性的创新实践环节,使学生在掌握课程所学基础知识的同时,可以独立的根据制品性能和使用要求,进行合理的聚合物成型物料配制,选择合适的成型加工方法,利用实验室及产学研实践基地的加工条件自己动手将聚合物原材料做成制品。     

Identification and Preliminary Structure-Activity Relationship Studies of 1,5-Dihydrobenzo[e][1,4]oxazepin-2(3H)-ones That Induce Differentiation of Acute Myeloid Leukemia Cells In Vitro

Acute myeloid leukemia (AML) is the most aggressive type of blood cancer, and there is a continued need for new treatments that are well tolerated and improve long-term survival rates in patients. Induction of differentiation has emerged as a promising alternative to conventional cytotoxic chemotherapy, but known agents lack efficacy in genetically distinct patient populations. Previously, we established a phenotypic screen to identify small molecules that could stimulate differentiation in a range of AML cell lines. Utilising this strategy, a 1,5-dihydrobenzo[e][1,4]oxazepin-2(3H)-one hit compound was identified. Herein, we report the hit validation in vitro, structure-activity relationship (SAR) studies and the pharmacokinetic profiles for selected compounds.     

Modulating Properties of Piroxicam,Meloxicam and Oxicam Analogues against Macrophage-Associated Chemokines in Colorectal Cancer

The mechanisms underlying the antineoplastic effects of oxicams have not been fully elucidated. We aimed to assess the effect of classic and novel oxicams on the expression/secretion of macrophage-associated chemokines (RTqPCR/Luminex xMAP) in colorectal adenocarcinoma cells, and on the expression of upstream the non-steroidal anti-inflammatory drug (NSAID)-activated genes NAG1, NFKBIA, MYD88, and RELA, as well as at the chemokine profiling in colorectal tumors. Meloxicam downregulated CCL4 9.9-fold, but otherwise the classic oxicams had a negligible/non-significant effect. Novel analogues with a thiazine ring substituted with arylpiperazine and benzoyl moieties significantly modulated chemokine expression to varying degree, upregulated NAG1 and NFKBIA, and downregulated MYD88. They inhibited CCL3 and CCL4, and their effect on CCL2 and CXCL2 depended on the dose and exposure. The propylene linker between thiazine and piperazine nitrogens and one arylpiperazine fluorine substituent characterized the most effective analogue. Only CCL19 and CXCL2 were not upregulated in tumors, nor was CXCL2 in tumor-adjacent tissue compared to normal mucosa. Compared to adjacent tissue, CCL4 and CXCL2 were upregulated, while CCL2, CCL8, and CCL19 were downregulated in tumors. Tumor CCL2 and CCL7 increased along with advancing T and CCL3, and CCL4 along with the N stage. The introduction of arylpiperazine and benzoyl moieties into the oxicam scaffold yields effective modulators of chemokine expression, which act by upregulating NAG1 and interfering with NF-κB signaling.     

Study of spectral analytical data using fingerprints and scaled similarity measurements

A new chemoinformatic model has been developed for enlarging the differences between spectra and applied to differentiation of wines according to the criteria grape origin and variety and ageing process. The model is based on generation of fingerprints from normalised spectra, using empirical parameters and a set of 120 samples. After generation of the fingerprints, similarity matrixes were built on the basis of the Tanimoto similarity index between the fingerprints of the samples. Calculation of the Tanimoto index was modified to adapt the index to the characteristics of the analytical measurements. Thus, scaling factors taking into account pattern fingerprints generated from a group of samples with common characteristics were used. In addition, a modified expression for calculating the Tanimoto index was employed. Principal-components analysis (PCA) and soft independent modelling of class analogy (SIMCA) were applied to the similarity matrixes. The results obtained are discussed as a function of the normalisation method employed, the empirical factor used in generation of the fingerprints, and selection of samples for building the pattern fingerprint, etc. Finally, results from differentiation of wines are compared with those obtained by applying PCA to the unprocessed spectra as stated by the proposed model.     

基于聚类分析的初三化学学业质量发展研究

以2013-2016年广州市各区（县级市）中考化学成绩的4种数据为指标，运用聚类分析研究广州市区域初三化学学业质量的发展状况。研究发现各区（县级市）主要分为3大类，部分区在不同年份的类别中移动，倾向于建立一个包括越来越多区域的第1大类。广州市区域初三化学学业质量逐步向优质均衡发展。系统的中学生化学探究活动和化学教师研训活动是实现这一发展的重要原因。     

稀土化合物TbCl3对成骨细胞系MC3T3-E1增殖、分化和矿化功能的影响

在细胞和分子水平上,研究了稀土化合物氯化铽(TbCl₃)对成骨细胞MC3T3-E1增殖、分化及矿化功能的影响。结果表明,细胞水平上,浓度为0.0001、0.001、0.01、0.1、1和10 μmol·L^-1的TbCl₃均促进MC3T3-E1细胞的增殖、分化及其矿化功能,然而,当浓度升至为100和1000 μmol·L^-1时,TbCl₃表现出抑制作用。分子水平上,浓度为0.0001和0.1 μmol·L^-1的TbCl₃明显上调成骨分化相关基因骨形成蛋白2(BMP-2),碱性磷酸酶(ALP),骨涎蛋白(BSP),Ⅰ型胶原蛋白(Col Ⅰ),骨钙素(OCN)和runt 相关转录因子2(Runx2)的表达。浓度为1 000 μmol·L^-1的TbCl₃则抑制上述成骨分化相关基因的表达。浓度为0.000 1、0.1和1 μmol·L^-1的TbCl₃促进成骨分化相关蛋白Runx2,BMP-2和OCN的表达;结果显示,低浓度的TbCl₃促进MC3T3-E1细胞的成骨分化及矿化功能,而高浓度TbCl₃则呈现出抑制作用。TbCl₃通过调控Runx2的表达刺激早期成骨分化相关基因BMP-2、Col Ⅰ和晚期成骨分化相关基因ALP、OCN的表达,从而诱导MC3T3-E1成骨分化。     

Impact of Various Parameters Over the Stability of Water-in-Vegetable Oil Emulsion

Theory regarding emulsification, its coalescence and impact of emulsifier over its stability has been updated. For the verification of the proposed theory, water-in-oil emulsion was prepared by mixing water and soybean oil in the presence and absence of emulsifier, monoglyceride. The effect of different parameters like emulsification time, contents of water, and concentration of emulsifier has been investigated on the emulsification and coalescence process of the emulsion. It was noted that the emulsion quality was highest if the mixture was homogenized for about 15 minutes and the water contents were 40% v/v. The addition of monoglyceride up to 0.5% w/v gave the most stable emulsion having higher quality than other composition. The results obtained were compared with the proposed theory and found to have good compositions.      

The Calculus of HLB Values of Polyoxyethylene Fatty Acid Esters from Quality Control Data

In this article, we obtained equations that permit us to calculate the hydrophilic-lipophilic balance (HLB) value of polyoxyethylene esters from quality control data of the raw materials (fatty acids and polyethylene glycol) and the finished product (surfactant). These data include the acid value of the fatty acid, the hydroxyl value of the polyethylene glycol, and the hydroxyl value of the surfactant. These calculations permit us, moreover, to know the mean molecular masses of fatty acids, of polyethylene glycol, of monoester and diester, and the proportion of polyoxyethylene monoester and polyoxyethylene diester.