罗维朋比色法和分光光度法对大豆油成品色泽监控时的应用分析

本实验通过罗维朋比色法与分光光度法对颜色深浅不一的一级大豆油样进行色泽定量检测,对两种方法在测定一级大豆油进行对比,分析了罗维朋比色法在测定原料成熟度差、透明度差、油色发青和发乌的大豆油时无法定量检测的局限性。结果表明,分光光度法在测定此类油脂色泽时更有优势,更适合油脂生产中的色泽监控。     

The Effects of Analogous Food Color on Perceived Flavor: A Factorial Investigation

We extend research testing the effects of food color on flavor perception to analogous color. Analogous colors are those found next to each other on the color wheel. Subjects were assigned the task of tasting and evaluating a fruit-flavored beverage. Actual fruit flavor at two levels and beverage color at three levels were manipulated in a full factorial, between-subjects design. Thus each subject tasted and evaluated a single color/flavor combination. Results show that the small differences in food color represented by analogous color are sufficiently distinct and meaningful to consumers to significantly affect their ability to correctly identify the flavor of color-associated foods, as well as to form distinct flavor profiles and particular preferences—much as the grosser distinctions represented by complementary food color have been shown to do previously.     

Consumers' Willingness to Pay for the Color of Salmon: A Choice Experiment with Real Economic Incentives

In most retail markets, sellers post the price and consumers choose which products to buy. We designed an experimental market with posted prices to investigate consumers' willingness to pay for the color of salmon. Salmon fillets varying in color and price were displayed in twenty choice scenarios. In each scenario, the participants chose which of two salmon fillets they wanted to buy. To induce real economic incentives, each participant drew one binding scenario; the participants then had to buy the salmon fillet they had chosen in their binding scenario. The choice data were analyzed with a mixed logit model.     

棉/毛混纺织物微悬浮体染色技术的研究

采用微悬浮体化助剂YDR和微悬浮体染色工艺(MSD)对棉/毛混纺织物进行染色,在保护羊毛不受强碱、高温损伤的条件下,采用住友SS系列活性染料进行一浴一步染色,可获得棉毛同色织物。     

光谱颜色管理系统关键技术综述

随着数字信息技术的全面、系统、纵深化发展,实际应用中对彩色图像跨媒体复现的颜色精度要求越来越高。基于光谱的颜色管理系统可以有效解决色度颜色管理系统中存在的同色异谱问题。本研究在分析光谱颜色管理系统基本框架的基础上,总结了光谱颜色管理系统中多光谱图像采集、光谱重构、光谱设备无关连接空间定义、光谱色域描述、光谱色域映射算法和光谱分色等关键技术的研究现状,并对各个技术环节中亟待解决的关键问题进行了归纳分析。     

Deciding between alternative approaches in macroeconomics

Macroeconomic time-series data are aggregated, inaccurate, non-stationary, collinear and rarely match theoretical concepts. Macroeconomic theories are incomplete, incorrect and changeable: location shifts invalidate the law of iterated expectations and ‘rational expectations’ are then systematically biased. Empirical macro-econometric models are non-constant and mis-specified in numerous ways, so economic policy often has unexpected effects, and macroeconomic forecasts go awry. In place of using just one of the four main methods of deciding between alternative models, theory, empirical evidence, policy relevance and forecasting, we propose nesting ‘theory-driven’ and ‘data-driven’ approaches, where theory-models’ parameter estimates are unaffected by selection despite searching over rival candidate variables, longer lags, functional forms, and breaks. Thus, theory is retained, but not imposed, so can be simultaneously evaluated against a wide range of alternatives, and a better model discovered when the theory is incomplete.     

关于混凝土外观颜色的几点见解

混凝土在多个领域广泛应用多年,随着生产力的不断提高,对于混凝土的质量要求也逐渐由里而外,更加注重混凝土的外观质量。对各个施工管理者来讲,也着重从提高外观质量上进行了许多年的研究,但在混凝土施工中仍然存在很多的误区,本文针对混凝土使用过程中存在的诸多问题,从影响混凝土构件外观质量颜色的因素出发得出几点其控制方法,提出几点意见,以达到提高混凝土构件外观质量,延长构件使用寿命的目的,使得广大施工一线人员能予以参考和指导。     

基于颜色传感器的流水线物品分拣系统

在"互联网+"智能制造的背景下,物品自动化分拣应用场景越来越多,特别是在流水线上替代工人进行机械性、重复性的工作恰到好处.针对流水线上的物品相对固定,同样物品的色彩变化不大,而且物品移动速度可控,采用相对简单可行的颜色传感器进行颜色识别,设计以嵌入式系统为控制核心,与外部的各类元器件连接,通过继电器传感器控制门磁通断的动作实现自动分拣目的.系统还加入改进颜色识别处理算法,提高物品识别的准确率,设计软件对分拣物品进行分类统计,实现分拣系统物品信息化管理.建立基于颜色传感器的流水线物品分拣系统,可移植性强,经过简单的改造可以应用在其他领域.     

浅议颜色词在汉英语言中的文化差异

在不同的文化中,人们对于颜色有不同的感知,颜色词也被寓以不同的含义而具有多种联想象征意义。本文以最为常见的几个颜色词为例,分析了它们在汉英语言中的不同文化上的象征意义,试图从这个角度,更好地理解汉英文化差异,更有利于英语学习,并更有效地促进跨文化交流。     

Out‐of‐sample testing price discovery in commodity markets: the case of soybeans

Price discovery, a central function of futures markets, has been usually tested in‐sample by studying the common stochastic trend between spot and futures prices. Instead, to evaluate futures as anticipatory prices, we develop a forecast approach to out‐of‐sample test price discovery in a multivariate framework. We apply it to the soybeans market. Results indicate futures prices as the best available “predictors” of future spot prices, although this finding holds only on average and for certain periods, other models show forecasting gains.