How to assess and report the performance of a stochastic algorithm on a benchmark problem: mean or best result on a number of runs?

Some authors claim that reporting the best result obtained by a stochastic algorithm in a number of runs is more meaningful than reporting some central statistic. In this short note, we analyze and refute the main argument brought in favor of this statement.     

某些离解能、电子亲合能等的G2计算与评价

PoPle及其合作者创立的Gaussian再简称GZ）理论［‘－’］，以其相对可靠的化学精度和相应较小的计算量已经引起了实验和理论化学家们的广泛关注问．p。ple等人在他们的GZ文章中强调了GZ的理论计算结果在研究离解能等化学问题中与精确实验数据之间的偏差普遍不大于全8．狄J规厂‘．我们近期的研究表明＊’1，＊2和优（＊则在计算一般化学反应能量中，绝大多数情况下，分别都能保证结果与实验偏差在全8．4和士13kJ·mol‘以内．近年来，已有大量的研究工作表明，GZ的理论结果已广泛用于未知实验数据的预测、已有实验数据的评价和修正等…     

The circular chemistry conceptual framework: A way forward to sustainability in industry 4.0

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Green chemistry and sustainability metrics in the pharmaceutical manufacturing sector

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Assessment of environmental noise and its effect on neonates in a Neonatal Intensive Care Unit

A method for analyzing the influence of noise on newborns is proposed. The method consists of defining three different types of time interval (quiet, noisy and nursing) and, for each period, environmental noise levels, heart rate, mean arterial pressure and oxygen saturation is continuously measured. The statistical analysis of the influence of the equivalent noise level, rather than instantaneous noise level, on the behavior of the physiological variables is carried out. Great influence of noise is found by using this method, which is also easily translatable to other intensive care units as actual noise conditions are used in the investigation. Moreover, episodes of Bradycardia, Hypoxia and Hypertension are easily related to simultaneous direct nursing activity or a short but high enough noise event, suggesting that both sustained noisy environment and isolated peak noises lead to the alteration of the physiological variables.     

On the use of fuzzy inference techniques in assessment models: part I—theoretical properties

An assessment model is a mathematical model that produces a measuring index, either in the form of a numerical score or a category to a situation/object, with respect to the subject of measure. From the numerical score, decision can be made and action can be taken. To allow valid and useful comparisons among various situations/objects according to their associated numerical scores to be made, the monotone output property and the output resolution property are essential in fuzzy inference-based assessment problems. We investigate the conditions for a fuzzy assessment model to fulfill the monotone output property using a derivative approach. A guideline on how the input membership functions should be tuned is also provided. Besides, the output resolution property is defined as the derivative of the output of the assessment model with respect to its input. This derivative should be greater than the minimum resolution required. From the derivative, we suggest improvements to the output resolution property by refining the fuzzy production rules.     

Assessment uncertainty associated to the analysis of organic compounds linked to particulate matter of atmospheric aerosols

Current work has evaluated uncertainty associated to quantification of several organic compounds present in particulate matter of atmospheric aerosols, setting out the stages of analytical procedure that contribute most to the global uncertainty. Several sources of uncertainty have been identified, which were clustered into five main contributions: sampling, extraction, clean-up, derivatization and analysis. A discussion of the main contributions to the overall uncertainty is reported, allowing authors to locate the largest ones and plan future improvements. Combined uncertainties ranged between 10-18% (alkanes), 12-16% (PAHs), 10-18% (alcohols) and 9-21% (acids). The analytical procedure was validated by analysing a standard reference material (SRM1649a, urban dust). Also, the proposed method was applied to the analysis of four samples of particulate matter.     

基于综合监控的设备状态修方案研究

随着工业控制领域的不断发展,综合监控系统已经日趋成熟并于工业现场运行较长时间。而基于综合监控系统获取的大量历史数据的分析和实时数据的使用并没有开展深入的探讨。本方案提出了一种基于综合监控系统的状态修方案,把综合监控系统的历史数据经过一定的清洗,建模导入到大数据平台,通过相应的算法分析,从而改善维修决策模型并建立设备评价体系;把实时数据实时的传递到设备状态页面,减轻了传统巡检工作,保证了设备检查效果;把设备报警数据通过分类,分项,直接派生检修工单,实现了设备维修的自动化。