The purpose of this study was to design educational content of Green Chemistry metrics for undergraduate chemistry students. Based on the purpose of the research, it was an applied-development type, and in terms of collecting and analyzing the data; a descriptive-analytical type is used. The statistical sample was a collection of books, articles, journals, and dissertations related to green chemistry which were selected and analyzed up to getting theoretical saturation. By reviewing related literature and investigating various sources on how to design the educational contents of the chemistry green, and also by directions of the field experts, during several revers phases of core coding, chapters were determined, then, according to the designated chapters, objectives were written for each topic in the target-content table. The results of this study showed that for the design of the content of training green chemistry measurements, two categories of mass measurements and Environmental measurements can often be quantitatively evaluated in the twelve principles of green chemistry. In these two categories, there are various methods for assessing the greenness of a reaction (organic reaction synthesis) were identified, including atomic economy, reaction mass efficiency, material recovery parameter, Environmental factor, process mass intensity, and effective mass efficiency are presented in a conceptual framework.

This study presents metrics of energy intensity and Environmental impact of the back-end separation of ethylene plant consisting three interacting distillation columns by thermodynamic analysis. The objective is to explore the scope of reducing the energy for utilities and CO2 emissions. Thermodynamic analysis is carried out using the column targeting tool (CTT) to address the sustainability metrics of ‘Energy Intensity.’ CTT is based on the ‘Practical Near-Minimum Thermodynamic Condition’representing a close to practical reversible column operation.Environmental impact metrics are estimated from the carbon tracking options. The carbon tracking are estimated by the CO2 emission data source of US-EPA-Rule-E9-5711 using natural gas as the primary fuel. The results show that the total reductions in exergy loss and the total hot and cold utility are around 44 and 10 %, respectively, the total reductions in carbon dioxide are around 14 %. These improvements lead to considerable reductions in the operating costs. Thermodynamic analysis helps estimating and improving the energy and Environmental sustainability metrics and hence can lead to a more sustainable separation by distillation columns.

Introduction: Environmental changes can be monitored at many scales but the scale of landscape and region has more information in support of sustainable spatial planning. The availability of remote sensing imagery provides multi-scale observation with periodic repetitions over time. Landscape and regional scales are adequately covered by satellite images. Remote sensing images provide non-average and dis-aggregated data suitable for sustainable Environmental planning. The spatial arrangement of elements impacts on horizontal flows and movements across land mosaics. Hence, modification of landscape directly affects ecological processes, flows and movement. Coarse-scale monitoring focuses on the structural composition and spatial configuration at the scale of landscape or region.

In this paper, we study generalized Douglas-Weyl Finsler metrics. We find some conditions under which the class of generalized Douglas-Weyl (a, b)-metric with vanishing S-curvature reduce to the class of Berwald metrics.

In this paper, we study the class of C 3-like Finsler metrics which contains the class of semi-C-reducible Finsler metric. We find a condition on C 3-like metrics under which the notions of Landsberg curvature and mean Landsberg curvature are equivalent.

Purpose: To investigate the characteristics of misleading metrics and identify the extent to which Iranian journals use such indicators. Methodology: Charctrisitcs were harvested form th eliterature. Then, 410 Iranian journals using such metrics were identified from the misleading metrics websites. Data analysis was conducted using Microsoft Excel. Findings: Sudden disappearance from the web, large number of indexed journals, ambiguous and non-scientific methodologies, lack of accurate contact information, failure to notify about the scientific and administarive staff, charging journals for the calculation of metrics and conducting the evaluation in a short period of time were common. The name and information of 410 Iranian journals were listed in the website of 23 misleading metrics, 49 accredited by The Iranian Ministry of Science, Research and Technology (MSRT) and 101 titles accredited by The Iranian Ministry of Health and Medical Education (MHME) mentioned at-least one misleading metric in their websites. Out of medical science journals 56% are affiliated with the medical science universities and institutions. Conclusion: Utilizing misleading metrics negatively affect the reputation of scientific journals. That put them at the rist to be listed as as predatory journals. Editorial boards are advised to avoid being indexed in misleading metrics and focus on reputable information and citation databases.