An alternative semi-quantitative GC/MS method to estimate levels of airborne intermediate volatile organic compounds (IVOCs) in ambient air

Intermediate volatile organic compounds (IVOCs) have attracted much attention due to their contributions to the formation of secondary organic aerosol (SOA) in ambient air.Determination of total IVOCs in ambient air is therefore important for assessing their roles in air pollution.Currently, concentrations of IVOCs are estimated using a previously

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A comparative study on the spatial distribution characteristics and the driving factors of protected river systems between China and the United States of America

The National Water Park System (NWPS) in China and the National Wild and Scenic Rivers System (NWSRS) in the United States represent typical protected river systems (PRSs) for conservation of water resources.This study used spatial analysis methods to characterize and compare the aggregated distribution of two types of PRSs and further explored the

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The Economic Impact of Productive Safety Net Program on Poverty: Microeconometrics Analysis, Tigrai National Regional State, Ethiopia

This paper aims at evaluating the impact of productive safety net program on poverty using primary data from randomly selected 600 households in central zone of Tigrai National Regional State, Ethiopia.Propensity Score Matching and Foster-Greer-Thorbecke were used to evaluate impact of the program and poverty, respectively.The paper revealed that t

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Generic Itemset Mining Based on Reinforcement Learning

One of the biggest problems in itemset mining is the requirement catherine lansfield ombre rainbow clouds eyelet curtains of developing a data structure or algorithm, every time a user wants to extract a different type of itemsets.To overcome this, we propose a method, called Generic Itemset Mining based on Reinforcement Learning (GIM-RL), that off

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