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agriculture 1

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building performance 1

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Facility managers’ perceptions on building performance assessment

Rafaela BORTOLINI, Núria FORCADA

Frontiers of Engineering Management 2018, Volume 5, Issue 3, Pages 324-333 doi: 10.15302/J-FEM-2018010

Abstract: and organized a focus group with facility management experts to gather and analyze facility managers’ perceptions

Keywords： building performance facility management non-residential buildings

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3, Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: detection theory (SDT), fuzzy detection theory (FDT), and chi-square (CS) test in order to understand the perceptionsThis paper extensively shows the perceptions and beliefs about the selected thermostats in Mexico.Besides, it presents an in-depth discussion on the cognitive perceptions and beliefs of end users.

Keywords： thermostats perceptions beliefs signal detection theory (SDT) fuzzy signal detection theory (FSDT) chi-square

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Understanding Farmers’ Perceptions and Risk Responses to Climate Change in China

Yang-jie Wang,Xiao-hong Chen

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 201-210 doi: 10.15302/J-FEM-2015050

Abstract: The overall aim of this paper is to attempt to identify farmers’ knowledge, perceptions and risk responses

Keywords： perception climate change agriculture risk reaction farmers China

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Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards Review

Jin-Jun Hou,Jian-Qing Zhang,Chang-Liang Yao,Rudolf Bauer,Ikhlas A. Khan,Wan-Ying Wu,De-an Guo

Engineering 2019, Volume 5, Issue 1, Pages 83-97 doi: 10.1016/j.eng.2018.12.005

Abstract:

Traditional Chinese medicines (TCMs), a complex system of natural resources with many diverse components, are widely used as approved medicinal agents in China. Quality control of TCMs is a huge challenge for the government and for testing institutes and is associated with numerous scientific issues. Among these considerations include the following questions: How many components are in TCMs? How can the multiple components in TCMs be comprehensively delineated and subsequently characterized? What is the level and range of these (active) metabolites within these multiple-component TCMs, in order to recommend standards? and What are the qualities required for a marker constituent to be selected, and from a practical perspective, how can these components be assessed with low cost and in a short time? All of these factors require significant and deep thinking in order to understand the individualistic chemistry of TCM in order to develop enhanced TCM quality standards for improved and consistent patient care. In this review, the latest exploratory research in TCM chemistry analytical techniques and methods is summarized in order to begin to develop responses to these scientific issues. Advances in these methods have included multidimensional separation for liquid chromatography–high-resolution mass spectrometry (LC–HRMS), smart triggering data-dependent acquisition of LC–HRMS, target analysis with liquid chromatography–mass spectrometry (LC–MS), supercritical fluid chromatography, and data mining of large mass spectrometry (MS) datasets. In addition, two quality strategies have been introduced in order to save reference standards and the analysis time for a TCM quality standard, including the application of the single standard to determine multi-components (SSDMC) and monomethodheterotrait matrix methods. Finally, a series of future improvements for analytical methods for TCMs are proposed.

Keywords： Traditional Chinese medicine Liquid chromatography Mass spectrometry Data-dependent acquisition Chemometrics Untargeted Data mining Quality control