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摘要： Australia's economy, like most national economies, is made up of several regional sub-economies. How these regional economies interact is not well understood but is relevant to macroeconomic policy setting. We outline and estimate a flexible Global Vector Autoregression model using quarterly data on house prices, output, unemployment and population for the eight Australian states and territories from 1986 to 2016. Using region-to-region impulse response functions from this model we quantify the influence of shocks in one region on another. Our results highlight the high degree of influence of New South Wales on other regions over and above its size.

关键词： Photosystem II   Water splitting complex   Excitation-emission fluorescence   PARAFAC   Unsupervised classification   pH  

摘要： The potential of excitation-emission fluorescence spectroscopy combined with three-way analysis was investigated for discriminating the photosystem II (PSII) (with the water-oxidizing complex) and without the water-oxidizing complex (wPSII) using unsupervised classification methods. The water-oxidizing complex within PSII carry out the reaction of water splitting which is as a vital process on the earth. Therefore, discriminating the presence of the water-oxidizing complex in protein samples is crucial. Low cost and accurate spectroscopic determination of the amount of clusters inside PSII or any other protein containing species are important when investigating the inclusion and exclusion of such clusters into and from species. Fluorescence data of samples were similar, and we showed the potential usefulness of multivariate methods, such as parallel factor analysis (PARAFAC) and principal component analysis (PCA) for recognition of the two types of samples. Both techniques were applied to the excitation-emission fluorescence matrices (EEM) of solutions at two of different pH values (2.0 and 12.0). Three fluorescent components were found for all samples that are related to tyrosine (Tyr), tryptophan (Trp) and phenylalanine (Phe) amino acids. These three amino acids are representative of all datasets and indicate their similarities and differences. We then found the effectual wavelengths for separation of samples in a specific acidity, including the excitation wavelengths of 220 and 230 nm and the emission wavelengths of 300 and 305 nm. The acidity of the solutions has various influences on the conformation of proteins. In PSII and PSII the without water-oxidizing complex samples conformational changes can change their spectra which was applied for discrimination purpose. This separation was better in pH = 12.0. We also showed the effect of time on small conformational changes within datasets were higher in pH = 2.0. In the end, for indicating the high distribution of

关键词： Cutinase   Depolymerization   Terephthalic acid   PET recycling   Humicola insolens  

摘要： The dissemination of technologies for poly(ethylene terephthalate) (PET) recycling is of paramount importance in the context of the plastics circular economy. One of the most promising alternatives is to use enzymes as catalysts for PET depolymerization to its monomers, but this route still needs improvement, especially regarding titer and productivity. In the present work, a sequential approach comprised of fractional factorial and central composite rotatable designs, the path of steepest ascent and one-way evaluation of variable effect, was performed to address these limitations, during assorted post-consumer PET (PC-PET) hydrolysis catalyzed by Humicola insolens cutinase. The highest terephthalic acid concentration and productivity during PC-PET hydrolysis were 100.9 mM (16.8 g/L) and 14.4 mM/day, corresponding to overall improvements of 10-fold and 20-fold, respectively. These data are among the best results described so far for enzyme-catalyzed hydrolysis of used PET packages. Also, the use of a single enzyme system, instead of multiple biocatalysts to achieve final conversion of PET to its monomers, lowers the process complexity and costs.

摘要： This research sought to link Andean soil knowledge and farmer categorization of soil fertility to soil science characterization of soils, and use these to understand the impacts of phosphorus (P) fertilization of legumes using rock phosphate and soluble P fertilizer in 17 smallholder-managed sites with varying soil properties. We found that farmer high/low categorization of soils corresponded to soil P fertility and distance from farmer dwellings. Measures of soil P fertility also were inversely related to mycorrhizal colonization of vetch roots and directly related to the potential for P release by legume residues (C:P ratio). However, particular soil properties (texture and calcium phosphate pools) were better in explaining the response of legume biological nitrogen fixation to P addition, with maximal impacts in low-clay soils and soils with low calcium phosphates, as assessed with a dilute HCl extraction. In these conducive contexts, legume BNF increased 67 and 150% for RP and TSP, respectively (p < 0.05), with similar increases in biomass P stocks that showed promise for soil regeneration. In low-P fields, added P increased potential P release from legume residues via lower C:P ratios (p < 0.05). Percent cover of soil increased from 35% in the control to 45 and 55% with RP and TSP (p < 0.05), which shows potential for reduced erosion risk under P fertilization of legumes. We discuss results with respect to the integration of local farmer knowledge systems with exogenous scientific knowledge.

关键词： Cross-domain distance metric learning (CDDML)   data distribution bias   discriminating distance metric learning (DDML)   hybrid color features   multifeature image-to-subcategory nearest neighbor classifier   scene classification  

摘要： In this paper, we concentrate on the problem of cross-domain aerial scene classification. The primary assumption of the proposed cross-domain distance metric learning (CDDML) framework is that training data are adequate in the source domain but limited in the target domain. One major problem of cross-domain scene classification caused by different dates, sensor positions, lighting conditions, and sensor types is data distribution bias. To solve this problem, the CDDML framework first replaces the existing color space with the proposed hybrid color features derived from all candidate color components to decrease the spectral shift between domains. Then, hybrid color features and bag of convolution features (BOCFs) are put into a discriminating DML (DDML) method to reduce the data distribution bias in the feature space. Finally, the image-to-subcategory distance measure is proposed to decrease the effect of intraclass variability on the nearest neighbor classifier by fusing hybrid color features and BOCF in the distance space. The experiments on three aerial target images or data sets confirm that the CDDML framework can obtain better results than most of the previous methods in the case of inadequate samples. Experimental results also demonstrate that DDML, hybrid color features, and the image-to-subcategory distance measure can increase the classification performance.

关键词： Dimensional analysis   Normal regression   Feed forward artificial neural network   Image processing   Classification   Weight estimation  

摘要： Weight is widely used as an important measure to study the physiology and agronomy for monitoring the fruit growth, grading, and packaging. The development of a computer vision system to measure the sweet lime fruit weight by relating the weight with its physical attributes is economically efficient than the mechanical online load cell used in the fruit sorting machines. In the present work, firstly a classification tree is developed using classification and regression tree algorithm to classify the fruits based on size. The average accuracy, sensitivity, specificity, and F score achieved are 98.16%, 94.01%, 98.51%, and 94.85% respectively. Secondly, parametric and non- parametric models are developed for predicting the weight of these classified fruits. A non-parametric model is developed using feed forward artificial neural network (FFANN) with error back propagation. The best topology is found among the fifty different FFANN configurations formed by varying the count of neurons in the hidden layer. Two parametric models are also developed using an approach of dimensional analysis (DA), and normal regression (NR). If the volume and the weight of the fruit have high correlation;then the bulk density of the fruit is fairly constant. This is the hypothesis used for developing the DA model. A lower value of mean square relative error and the remarkable value of Nash-Sutcliffe coefficient of efficiency indicate the superiority and the robustness of the proposed NR model in estimating the weight of the sweet lime fruits. Furthermore, an estimation uncertainty Theil_UII value which demonstrates the effectiveness and the credibility of the model's estimation ability is used for performance evaluation.

关键词： 糖尿病肾病   生化检验指标   早期诊断价值  

摘要： 目的:探讨生化检验指标在糖尿病肾病早期诊断中的作用.方法:选取2017年3月-2018年3月在我院接受治疗的65例糖尿病肾病患者,作为观察组,选择同时期到我院接受健康体检人群65例,作为对照组,均行常规生化指标检测,观察比较两组差异.结果:观察组各项生化检测指标均显著高于对照组(P<);联合检测阳性阳性率为100.00％,显著高于单一检测(P<0.05).结论:糖尿病肾病患者各项生化检测指标均高于健康人群,且生化检测方法简单,为临床早期糖尿病肾病提供准确参考依据.

关键词： 血脂生化检验   分级检验方法   拉网式检验方法  

摘要： 探讨放置试验在血脂生化检测中的作用。方法:检查76例患者,患者与2017年十月间在我院对象38例组,研究组患者的方法,随机分为38案件研究组血脂生化测试,以2019三月测试,以探索传统拉Net Test旨在检查患者组作为分级测试执行的测试方法。比较两个患者组的阳性检出率和血脂指数检测。结果:患者甘油三酯(TG),总胆固醇(TC),高密度脂蛋白(HDL)阳性率比较,数据无显着性差异,P> 0.05;研究组患者载脂蛋白AI(ApoA-I),载脂蛋白B(ApoB),脂蛋白低密度(LDL)阳性率,与研究组比较,P <0.05;TG两组患者,TC,HDL水平检测对比,P> 0.05;将研究组中apoAI,apoB和LDL的水平与研究组中的水平进行比较,P <0.05。结论:脂质生化试验采用放置试验法进行试验,其中放置试验的程序能有效提高试验的准确性,应进一步推进脂质生化检查。

关键词： 干扰作用   预防措施   标本溶血   生化检验  

摘要： 探究标本溶血对生化检验结果的干扰作用及防范措施。方法:选取健康体检的患者72例,在我院于2018年1月至2018年12月进行检验,观察组及对照组,两组各36例。溶血后患者标本的是观察组,溶血前标本是对照组。均选择日立7600 生化分析仪,检测两组血液标本,分析生化检验结果。结果:经分析表中数据发现,相较于对照组,观察组的TC、AST、ALT 水较高,对比差异显著有意义(P<0.05),但是对比两组Cr、BUN 、GLU、TG水平,对比差异不显著无意义(P>0.05)。结论:针对健康体检的患者,分析标本溶血产生的生化检验结果,难以准确地对疾病进行诊断,造成肝功能及血脂检验指标的误差,所以需严格化的在血液检查时展开操作,保证结果的准确性,具有临床应用价值。

关键词： 医学检测机构   市场作用   发展前景  

摘要： 第三方医学检测机构已经在我国实施了十年之久,随着我国的医学设备的深入发展,该机构在市场竞争中也形成了不断的完善,逐渐成为了我国医学检验当中的重要部分。本文以下从第三方检测机构的背景进行分析,融合国情和服务模式作用,并且对未来的发展做出的仔细的分析。