ABSTRACT
The aim of this study was to comprehensively understand the water environment quality status and its change trend in the Inner Mongolia section of the Yellow River Basin. To analyze the water quality in recent years,the water quality data in the Yellow River basin from 2003 to 2020 were firstly collected from five typical monitoring stationsï¼Various data analysis methods, including principal component analysis, cluster analysis, and a long short-term memory model, were used along with an improved comprehensive water quality identification index to explore the spatiotemporal characteristics of water quality in the Yellow River Basin. The results showed that the overall water quality in the basin has improved and stabilized over time. In terms of temporal variation, there was a distinction between the wet season and dry season, with a better status observed during the wet season due to increased agricultural irrigation and higher water volume. Spatially, the five monitoring sections could be divided into three categories based on strong natural factors that maintained their temporal characteristics during the wet seasonï¼ however, significant differences were observed during the dry season due to urban water usage patterns. Analysis using LSTM models revealed that ammonia nitrogen will continue to decline and have a decreasing impact on the comprehensive water quality. These findings provide valuable insights for the comprehensive management of water quality in Inner Mongolia's Yellow River Basin.
ABSTRACT
Two new sesquiterpenoids, named 9,10-dihydroxy-albaflavenone (1) and 5-hydroxy-albaflavenone (2) were isolated from Dictyophora indusiata. Their structures and absolute configurations were determined by NMR, ECD and HRESIMS. Compounds 1 and 2 showed anti-inflammatory activity by inhibiting TNF-α and NO secretion to varying degrees.
Subject(s)
Basidiomycota , Sesquiterpenes , Basidiomycota/chemistry , Sesquiterpenes/pharmacology , Tumor Necrosis Factor-alphaABSTRACT
A topological index is a numerical parameter that is derived mathematically from a graph structure. In chemical graph theory, these indices are used to quantify the chemical properties of chemical compounds. We compute the first and second temperature, hyper temperature indices, the sum connectivity temperature index, the product connectivity temperature index, the reciprocal product connectivity temperature index and the F temperature index of a molecular graph silicate network and silicate chain network. Furthermore, a QSPR study of the key topological indices is provided, and it is demonstrated that these topological indices are substantially linked with the physicochemical features of COVID-19 medicines. This theoretical method to find the temperature indices may help chemists and others in the pharmaceutical industry forecast the properties of silicate networks and silicate chain networks before trying.
Subject(s)
COVID-19 , Humans , Temperature , SilicatesABSTRACT
Seven lignans and eight phenylpropanoids, including one new lignan, 7S,8R,8'R-5,5'-dimethoxyariciresinol-4-O-ß-D-glucopyranoside (1), were isolated from the liquid juice of Phyllostachys edulis. Their structures were established by extensive spectroscopic analyses. The absolute configuration of the new compound was determined by comparing its experimental electronic circular dichroism (ECD) spectra with calculated ECD spectra. All compounds were evaluated for their anti-inflammatory activity and xanthine oxidase inhibitor activity, and the results showed that compound 9 exhibited a moderate activity in these two bioassays. In addition, all the compounds can be detected in health panda faeces by LC-MS.
