煤质常规项目数据自动处理系统研究

通过对煤炭质量常规分析项目(水分、灰分、挥发分、全硫、碳氢、发热量)检测流程和数据处理进行分析,制定煤质检测信息全自动提取的方案。形成与LIMS系统整理对接设计;通过配置相应硬件、网络和系统平台,实现样品检测数据的采集、录入、处理、检查、判定、存储、传输、共享等各项业务管理。     

A Bipolar Host Material Containing Triphenylamine and Diphenylphosphoryl‐Substituted Fluorene Units for Highly Efficient Blue Electrophosphorescence

Highly efficient blue electrophosphorescent organic light‐emitting diodes incorporating a bipolar host, 2,7‐bis(diphenylphosphoryl)‐9‐[4‐(N,N‐diphenylamino)phenyl]‐9‐phenylfluorene (POAPF), doped with a conventional blue triplet emitter, iridium(III) bis[(4,6‐difluoro‐phenyl)pyridinato‐N,C^2´]picolinate (FIrpic) are fabricated. The molecular architecture of POAPF features an electron‐donating (p‐type) triphenylamine group and an electron‐accepting (n‐type) 2,7‐bis(diphenyl‐phosphoryl)fluorene segment linked through the sp³‐hybridized C9 position of the fluorene unit. The lack of conjugation between these p‐ and n‐type groups endows POAPF with a triplet energy gap (E_T) of 2.75 eV, which is sufficiently high to confine the triplet excitons on the blue‐emitting guest. In addition, the built‐in bipolar functionality facilitates both electron and hole injection. As a result, a POAPF‐based device doped with 7 wt% FIrpic exhibits a very low turn‐on voltage (2.5 V) and high electroluminescence efficiencies (20.6% and 36.7 lm W^?1). Even at the practical brightnesses of 100 and 1000 cd m^?2, the efficiencies remain high (20.2%/33.8 lm W^?1 and 18.8%/24.3 lm W^?1, respectively), making POAPF a promising material for use in low‐power‐consumption devices for next‐generation flat‐panel displays and light sources.     

The role of proteomics in the study of the influence of climate change on seafood products

The climate change influence over the oceans has been the subject of numerous articles informs and strategies from different scientific perspectives, focused mainly in the ecological impact. The majority of the related studies have been focused in measuring or predicting the physical, chemical, geographical, sociological and economical consequences of this reality, which seems to be unstoppable, and only a few of them are devoted to detect the effects of the climate change over the quality of seafood products, wild or cultivated.The stress produced in marine organisms by the consequences of climate change is reflected at the cell molecular level, being affected the metabolite concentration, the expression of proteins and their modifications. The study of the climate change may take advantage of these molecular changes, which may be used as a source of possible biomarkers of its evolution.After the genomic age, proteomics appears as a young but robust discipline for a global study of the protein content in cells, including their identification, possible modifications, quantification of differential expression and tissue localization, being the most adequate set of methodologies to evidence protein changes in marine organisms affected by climate variations. In the last decade proteomic technologies have experienced an exponential development, but the research has been mainly applied to biomedical and human health research, being scarcely focused to the study of the marine environment. The application of the proteomics methods to study the effects of climate change over seafood, mainly from the safety point of view, is reviewed.     

A new and efficient synthetic method of a liquid crystalline epoxy resin with biphenol and aromatic ester group

This article describes a high efficient and economical method to synthesize a liquid crystalline epoxy resin (LCER) containing biphenol and aromatic ester group, 3,3′,5,5′-tetramethylbiphenyl-4,4′-diyl bis(4-(oxiran-2-ylmethoxy) benzoate) (4). First, 3,3′,5,5′-tetramethylbiphenyl-4,4′-diyl bis(4-hydroxybenzoate) (3) was prepared by direct esterification of 3,3′,5,5′-tetramethylbiphenyl-4,4′-diol (2) with p-hydroxybenzoic acid (1) in the presence of a certain amount of p-toluene sulfonic acid (p-TSA) as catalyst. And then (4) was synthesized by the reaction of (3) with epichlorohydrin. The chemical structure, melting range, and liquid crystalline phase transition behavior of (4) were characterized by FT-IR, ¹H-NMR, ¹³C-NMR, mass spectroscopy, differential scanning calorimetry (DSC), and polarized optical microscopy (POM).     

Synthesis of flower-like sns2 nanostructured microspheres using PEG 200 as solvent

The flower-like tin disulphide (SnS₂) microspheres have been synthesised by a facile solution-based route using polyethylene glycol 200 as the solvent and template. The products are characterised by X-ray diffraction, transmission electron microscopy and scanning electron microscopy. Experimental results show that the flower-like SnS₂ microspheres with diameters around 2-5--m are made of many interleaving petal-like nanostructures. These nanopetals are 1-3--m in side length and less than 60-nm in thickness. The influences of solvent and sulphur source on the morphology of SnS₂ nanostructures have also been investigated. The possible growth mechanism is discussed. Furthermore, the room-temperature Raman spectrum of the flower-like SnS₂ microspheres is also studied.     

Nudging hair shedding by antidandruff shampoos. A comparison of 1% ketoconazole, 1% piroctone olamine and 1% zinc pyrithione formulations

Hair shedding and hair thinning have been reported to be affected by dandruff and seborrhoeic dermatitis. The present study was conducted in 150 men presenting with telogen effluvium related to androgenic alopecia associated with dandruff. They were randomly allocated to three groups receiving each one of the three shampoos in the market containing either 1% ketoconazole (KTZ), 1% piroctone olamine (PTO) or 1% zinc pyrithione (ZPT). Shampoos had to be used 2-3 times a week for 6 months. Hair shedding during shampoo was evaluated semiquantitatively. Hair density on the vertex was evaluated on photographs using a Dermaphot. Trichograms were used for determining the anagen hair percentage and the mean proximal hair shaft diameter using computerized image analysis. The sebum excretion rate (SER, mug cm(-2) h(-1)) was also measured using a Sebumeter. The three treatments cleared pruritus and dandruff rapidly. At end point, hair density was unchanged, although hair shedding was decreased (KTZ: -17.3%, PTO: -16.5%, ZPT: -10.1%) and the anagen hair percentage was increased (KTZ: 4.9%, PTO: 7.9%, ZPT: 6.8%). The effect on the mean hair shaft diameter was contrasted between the three groups of volunteers (KTZ: 5.4%, PTO: 7.7%, ZPT: -2.2%). In conclusion, telogen effluvium was controlled by KTZ, PTO and ZPT shampoos at 1% concentration. In addition, KTZ and PTO increased the mean hair shaft thickness while discretely decreasing the sebum output at the skin surface.     

A New Diffusion-Based Variational Model for Image Denoising and Segmentation

In this paper we propose a new variational model for image denoising and segmentation of both gray and color images. This method is inspired by the complex Ginzburg–Landau model and the weighted bounded variation model. Compared with active contour methods, our new algorithm can detect non-closed edges as well as quadruple junctions, and the initialization is completely automatic. The existence of the minimizer for our energy functional is proved. Numerical results show the effectiveness of our proposed model in image denoising and segmentation. Fang Li received the MSc degree in Mathematics from the South West China Normal University in 2004 and from then on she works in the South West University. Meanwhile, she studies mathematics at the East China Normal University as a doctoral student. Her research interests include anisotropic diffusion filtering, the variational methods and PDEs in image processing. Chaomin Shen received the MSc degree in Mathematics from the National University of Singapore (NUS) in 1998. He worked in the Centre for Remote Imaging, Sensing and Processing (CRISP), NUS as an associate scientist during 1998 to 2004. Currently he is a lecturer in Joint Laboratory for Imaging Science & Technology and Department of Computer Science, East China Normal University. His research interests include remote sensing applications and variational methods in image processing. Ling Pi received her MSc degree from the Department of Mathematics, East China Normal University in 2003. She is currently a lecturer in the Department of Applied Mathematics, Shanghai Jiaotong University. Her work involves the application of geometric and analytic methods to problems in image processing.     

柴油机排放HC-PM现象学预测模型的研究

以柴油机 13工况排放试验结果为依据 ,研究了污染物中的碳氢化合物 (HC)与微粒 (PM )之间的关系 ,并考虑了影响因素 提出了通过每工况的HC来预测其微粒的新方法 ,计算结果和试验数据有较好的吻合 此预测模型对高压共轨柴油机ECU的设计是一个有力的工具     

辽化医院检验科通用管理软件

辽化医院检验科通用管理软件能够准确及时地利用Visual Basic 6.0采集检验科检测仪器的串口数据,存储到Microsoft Access数据库,能够对数据进行处理、查询、显示、打印,整个界面简洁、美观、功能完整.