The notion of the rate of profit and the stability of the market dynamics in a model with linear technology

This paper analyzes the local stability properties of the equilibrium solution of a multi-sectoral model with a linear production technology. The pivotal magnitudes in the adjustment process are the market rates of profit. Three different definitions of the market rates of profit are introduced which correspond to different types of the implicit decision behavior. It is shown that the stability properties of the market process depend essentially on this specification.     

Design and initial operation of a high-solids,pilot-scale reactor for dilute-acid pretreatment of lignocellulosic biomass

Applied Biochemistry and Biotechnology - A recently installed 100-L horizontal shaft custom-fabricated mixer/reactor, made of Carpenter 20 Cb-3 stainless steel and designed for high-solids,...     

Assessment of murine neuroblastoma (N1E-115) resting membrane potential by confocal microscopy

Digital imaging (confocal microscopy) and a slow potentiometric dye (tetramethylrhodamine methyl ester) were used to assess the resting membrane potential (V _m) of murine neuroblastoma cells (N1E-115). The averageV _m was found to be –64.0±2.0 mV. The difference between this and the previously reported higher values was attributed to the use of glass microelectrode techniques that probably caused mechanical injury to the cell membranes: Digital imaging of N1E-115V _m was found to be sensitive, reproducible, fast, and simple.     

最优化方法任分子识别中的应用

分子识别是指两个或多个分子靠非共价键专一地结合在一起．分子识别在物质的形成,细胞信号的传递,基因信息的表达和药物的设计等方面起重要的作用．我们首先对数学和计算方法在分子识别上的应用作了回顾,并从量子力学,经典分子力学和热力学上解释分子识别可转换成一类最优化问题．其次,我们指出了解决这类最优化问题的困难．最后,我们报告了在预报配体与蛋白质识别上所获得的一类新的选择方法．这类方法可将预报的成功率从63％提高到90％．     

Development and validation of LC-MS/MS method for determination of very long acyl chain (C22:0 and C24:0) ceramides in human plasma

Ceramide is a key metabolite in both anabolic and catabolic pathways of sphingolipids. The very long fatty acyl chain ceramides N-(docosanoyl)-sphing-4-enine (Cer(22:0)) and N-(tetracosanoyl)-sphing-4-enine (Cer(24:0)) are associated with multiple biological functions. Elevated levels of these sphingolipids in tissues and in the circulation have been associated with insulin resistance and diabetes. To facilitate quantification of these very long chain ceramides in clinical samples from human subjects, we have developed a sensitive, accurate, and high-throughput assay for determination of Cer(22:0) and Cer(24:0) in human plasma. Cer(22:0) and Cer(24:0) and their deuterated internal standards were extracted by protein precipitation and chromatographically separated by HPLC. The analytes and their internal standards were ionized using positive-ion electrospray mass spectrometry, then detected by multiple-reaction monitoring with a tandem mass spectrometer. Total liquid chromatography–tandem mass spectrometry (LC-MS/MS) runtime was 5 min. The assay exhibited a linear dynamic range of 0.02–4 and 0.08–16 μg/ml for Cer(22:0) and Cer(24:0), respectively, in human plasma with corresponding absolute recoveries from plasma at 109 and 114 %, respectively. The lower limit of quantifications were 0.02 and 0.08 μg/ml for Cer(22:0) and Cer(24:0), respectively. Acceptable precision and accuracy were obtained for concentrations over the calibration curve ranges. With the semi-automated format and short LC runtime for the assay, a throughput of ～200 samples/day can easily be achieved.

Heat blocking gallium arsenide solar cells

The solar cell industry is witnessing an era of unprecedented growth and this trend is set to continue for the foreseeable future. Here we describe a heat reflection pigment-coated single-junction gallium arsenide solar cell that is capable of reflecting heat-inducing near-infrared radiation. The cell maintains its performance better than non-coated cells when exposed to infrared-rich radiant flux. In situations where solar cells get heated mainly from incident infrared radiation, these cells exhibit superior performance. The heat reflecting pigment, cell structure, coating process and cell performance have been described. PACS 84.60.Jt; 42.70.Km; 42.79.Wc     

Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool

Green chemistry places an emphasis on safer chemicals, waste reduction, and efficiency. Processes should be optimized with green chemistry at the forefront of decision making, embedded into research at the earliest stage. To assist in this endeavor, we present a spreadsheet that can be used to interpret reaction kinetics via Variable Time Normalization Analysis (VTNA), understand solvent effects with linear solvation energy relationships (LSER), and calculate solvent greenness. With this information, new reaction conditions can be explored in silico, calculating product conversions and green chemistry metrics prior to experiments. The application of this tool was validated with literature case studies. Reaction performance was predicted and then confirmed experimentally for examples of aza-Michael addition, Michael addition, and an amidation. The combined analytical package presented herein permits a thorough examination of chemical reactions, so that the variables that control reaction chemistry can be understood, optimized, and made greener for research and education purposes.