视觉搜索中图标布局的影响机理

采用视觉搜索范式，研究图标视觉特征及数量变化对图标布局认知绩效的影响.实验表明，当图标数量N=6时，仅图标视觉特征主效应显著，布局方式对搜索速度无显著影响，图标视觉特征是认知绩效的主要影响因素;当图标数量N=15时，仅图标布局方式主效应显著，横向排列搜索速度最快.通过图标数量的连续性变化实验发现，图标数量超过10个，横向排列反应时显著低于纵向排列，两者错误率无显著差异;随着图形面板 L_○长度 / S_○宽度比值的降低，两者平均反应时差距逐渐缩小，趋于一致.研究表明，图标数量的变化对布局方式和视觉特征的认知绩效产生显著影响.     

Biosynthesis of zinc oxide nanoparticles using Euphorbia milii leaf constituents: Characterization and improved photocatalytic degradation of methylene blue dye under natural sunlight

A facile biosynthesis route was followed to prepare zinc oxide nanoparticles (ZnO NPs) using Euphorbia milii (E. milii) leaf constituents. The SEM images exhibited presence of spherical ZnO NPs and the corresponding TEM images disclosed monodisperse nature of the ZnO NPs with diameter ranges between 12 and 20 nm. The Brunauer–Emmett–Teller (BET) analysis revealed that the ZnO NPs have specific surface area of 20.46 m²/g with pore diameter of 2 nm–10 nm and pore volume of 0.908 cm³/g. The EDAX spectrum exemplified the existence of Zn and O elements and non-appearance of impurities that confirmed pristine nature of the ZnO NPs. The XRD pattern indicated crystalline peaks corresponding to hexagonal wurtzite structured ZnO with an average crystallite size of 16.11 nm. The FTIR spectrum displayed strong absorption bands at 512 and 534 cm^?1 related to ZnO. The photocatalytic action of ZnO NPs exhibited noteworthy degradation of methylene blue dye under natural sunlight illumination. The maximum degradation efficiency achieved was 98.17% at an illumination period of 50 min. The reusability study proved considerable photostability of the ZnO NPs during photocatalytic experiments. These findings suggest that the E. milii leaf constituents can be utilized as suitable biological source to synthesis ZnO NPs for photocatalytic applications.     

Concurrent multiresponse non-linear screening: Robust profiling of webpage performance

Profiling engineered data with robust mining methods continues attracting attention in knowledge engineering systems. The purpose of this article is to propose a simple technique that deals with non-linear multi-factorial multi-characteristic screening suitable for knowledge discovery studies. The method is designed to proactively seek and quantify significant information content in engineered mini-datasets. This is achieved by deploying replicated fractional-factorial sampling schemes. Compiled multi-response data are converted to a single master-response effectuated by a series of distribution-free transformations and multi-compressed data fusions. The resulting amalgamated master response is deciphered by non-linear multi-factorial stealth stochastics intended for saturated schemes. The stealth properties of our method target processing datasets which might be overwhelmed by a lack of knowledge about the nature of reference distributions at play. Stealth features are triggered to overcome restrictions regarding the data normality conformance, the effect sparsity assumption and the inherent collapse of the ‘unexplainable error’ connotation in saturated arrays. The technique is showcased by profiling four ordinary controlling factors that influence webpage content performance by collecting data from a commercial browser monitoring service on a large scale web host. The examined effects are: (1) the number of Cascading Style Sheets files, (2) the number of JavaScript files, (3) the number of Image files, and (4) the Domain Name System Aliasing. The webpage performance level was screened against three popular characteristics: (1) the time to first visual, (2) the total loading time, and (3) the customer satisfaction. Our robust multi-response data mining technique is elucidated for a ten-replicate run study dictated by an L₉(3⁴) orthogonal array scheme where any uncontrolled noise embedded contribution has not been necessarily excluded.     

Analytic hierarchy process for multi-sensor data fusion based on belief function theory

Multi-sensor data fusion is an evolving technology whereby data from multiple sensor inputs are processed and combined. The data derived from multiple sensors can, however, be uncertain, imperfect, and conflicting. The present study is undertaken to help contribute to the continuous search for viable approaches to overcome the problems associated with data conflict and imperfection. Sensor readings, represented by belief functions, have to be fused according to their corresponding weights. Previous studies have often estimated the weights of sensor readings based on a single criterion. Mono-criteria approaches for the assessment of sensor reading weights are, however, often unreliable and inadequate for the reflection of reality. Accordingly, this work opts for the use of a multi-criteria decision aid. A modified Analytical Hierarchy Process (AHP) that incorporates several criteria is proposed to determine the weights of a sensor reading set. The approach relies on the automation of pairwise comparisons to eliminate subjectivity and reduce inconsistency. It assesses the weight of each sensor reading, and fuses the weighed readings obtained using a modified average combination rule. The efficiency of this approach is evaluated in a target recognition context. Several tests, sensitivity analysis, and comparisons with other approaches available in the literature are described.     

红树林保护与修复标准发展现状及对策

回顾近20年来中国对红树林的保护以及通过人工造林进行恢复的情况, 梳理我国红树林保护与修复的相关标准, 厘清现行标准存在的问题, 提出如下相应的建议与对策。1) 应结合国家碳中和战略及红树林保护与恢复规划目标, 制定完善的红树林保护与生态修复技术标准体系规划, 加快相关国家标准的出台; 2) 在编制红树林保护与修复相关标准的同时, 应注重红树林固碳能力和增汇效应的提高; 3) 建议制定退塘还林相关标准, 填补国内空白; 4) 应充分落实“自然恢复为主、人工修复为辅”的生态修复原则, 重视并加强红树林保护与修复标准的技术细节制定; 5) 标准的制定和实施应由红树林研究专业机构及专家深度参与, 提高造林成活率。     

外部治理环境与公司绩效:代理成本的中介效应

中国经济发展过程中存在区域发展不平衡现象,这种不平衡现象对公司绩效产生了重要影响。基于2003-2015年沪、深两市A股上市公司数据,以管理费用率度量上市公司管理层与股东间的第一类代理成本,以其他应收款占比度量上市公司控股股东与中小股东之间的第二类代理成本,采用多元回归和中介效应检验程序,实证检验了外部治理环境通过两类代理成本的中介作用对上市公司绩效影响的内在机理。研究结果表明,外部治理环境的提升能够显著的降低两类代理成本,进而提高上市公司的绩效,两类代理成本在外部治理环境影响公司绩效的过程中发挥显著的部分中介作用。     

Path to achieving molecular dispersion in a dense reactive mixture

A uniform dispersion of reactants is necessary to achieve a complete reaction involving multicomponents. In this study, we have examined the role of plasticizer in the reaction of two seemingly unlikely reactants: a highly crystalline hexamethylenetetramine (HMTA) and a strongly hydrogen bonded phenol formaldehyde resin. By combining information from NMR, infrared spectroscopy and differential scanning calorimetry, we were able to determine the role of specific intermolecular interactions necessary for the plasticizer to dissolve the highly crystalline HMTA and to plasticize the phenol formaldehyde resin in this crosslinking reaction. The presence of the plasticizer increased the segmental mobility, disrupted the hydrogen bonded matrix, and freed the hydroxyl units, which further increased the solubility of the HMTA. Both the endothermic and exothermic transitions are accounted for in the calorimetric data obtained. For the first time, it is possible to obtain the effective molar ratio of each component needed to complete the crosslinking reaction efficiently. © 2015 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2015 , 53, 1519–1526     

高性能称重配料系统控制策略的研究及实现

着重针对应用于饲料生产工艺的称重配料系统的控制策略进行研究,特别是对空中落差的研究,推出了实现该控制策略的高性能称重配料控制器,并进行切实可行的软硬件设计,以真正实现称重配料系统的高性能。     

浅谈排水管道工程施工常见质量问题的防治

针对排水管道工程施工中常见的管道位置偏移或积水，管道渗漏水，检查井变形、下沉，构配件质量差，回填土沉陷等质量问题，简要地分析研究了其形成原因，并提出了有效的预防及治理措施。     

Sensitivity analysis of thermal performances of flat plate solar air heaters

Sensitivity analysis is a mathematical tool, first developed for optimization methods, which aim is to characterize a system response through the variations of its output parameters following modifications imposed on the input parameters of the system. Such an analysis may quickly become laborious when the thermal model under consideration is complex or the number of input parameters is high. In this paper, we develop a mathematical model to analyse the heat exchanges in four different types of solar air collectors. When building this thermal model we show that for each collector, at quasi-steady state, the energy balance equations of the components of the collector cascade into a single first-order non-linear differential equation that is able to predict the thermal behaviour of the collector. Our heat transfer model clearly demonstrates the existence of an important dimensionless parameter, referred to as the thermal performance factor of the collector, that compares the useful thermal energy which can be extracted from the heater to the overall thermal losses of that collector for a given set of input parameters. A sensitivity analysis of our thermal model has been performed for the most significant input parameters such as the incident solar irradiation, the inlet fluid temperature, the air mass flow rate, the depth of the fluid channel, the number and nature of the transparent covers in order to measure the impact of each of these parameters on our model. An important result which can be drawn from this study is that the heat transfer model developed is robust enough to be used for thermal design studies of most known flat plate solar air heaters, but also of flat plate solar water collectors and linear solar concentrators.