Tetra­kis(μ-phenoxy­acetato-κ2 O:O′)bis­[(1,10-phenanthroline-κ2 N,N′)manganese(II)] methanol hemisolvate

The title complex, [Mn2(C8H7O3)4(C12H8N2)2]·0.5CH3OH, is a carboxyl­ate-bridged dinuclear MnII complex with four phenoxy­acetate ions and two 1,10-phenanthroline mol­ecules as ligands. Each of the four phenoxy­acetate anions bridges the pair of Mn atoms. The asymmetric unit is completed by a half-occupancy methanol solvent mol­ecule. Face-to-face π–π stacking inter­actions between the aromatic rings of 1,10-phenanthroline molecules belonging to adjacent Mn2 complexes, with an inter­planar separation of circa 3.4 Å, and weak C—H⋯O hydrogen bonds connect the dinuclear units into a three-dimensional supra­molecular framework

A Novel Clustering Model Based on Set Pair Analysis for the Energy Consumption Forecast in China

The energy consumption forecast is important for the decision-making of national economic and energy policies. But it is a complex and uncertainty system problem affected by the outer environment and various uncertainty factors. Herein, a novel clustering model based on set pair analysis (SPA) was introduced to analyze and predict energy consumption. The annual dynamic relative indicator (DRI) of historical energy consumption was adopted to conduct a cluster analysis with Fisher’s optimal partition method. Combined with indicator weights, group centroids of DRIs for influence factors were transferred into aggregating connection numbers in order to interpret uncertainty by identity-discrepancy-contrary (IDC) analysis. Moreover, a forecasting model based on similarity to group centroid was discussed to forecast energy consumption of a certain year on the basis of measured values of influence factors. Finally, a case study predicting China’s future energy consumption as well as comparison with the grey method was conducted to confirm the reliability and validity of the model. The results indicate that the method presented here is more feasible and easier to use and can interpret certainty and uncertainty of development speed of energy consumption and influence factors as a whole

Anti-inflammatory, antioxidant and antitumor activities of ingredients of Curcuma phaeocaulis Val

Curcuma phaeocaulis Val. is used in Chinese Pharmacopoeia as health food and folk medicine for removing blood stasis, alleviating pain and tumor therapy. This research was aimed to explore and compare three main bioactivities including anti-oxidant, antitumor and anti-inflammatory activities between the ethanol extract of C. Phaeocaulis and its fractions using different in vitro models. Firstly, 70 % ethanol was used to extract C. Phaeocaulis, and then the crude extract was re-extracted, resulting in petroleum ether (EZ-PE), ethyl acetate (EZ-EA), and water fractions (EZ-W), respectively, and then a series of index was detected. Results showed that all the extracts had medium DPPH radical scavenging activity when the concentration was 200 μg/ml and their DPPH radical scavenging activity was in a concentration-dependent manner. The extracts except ethanol extract of C. Phaeocaulis had almost no cytotoxicity to the survival of RAW264.7 cell when the concentration reached 80 μg/ml, and all of them had medium inhibitory effect on nitrite release. Extracts of C. Phaeocaulis had medium intensity antitumor activity, EZ-PE and EZ-EA fractions significantly inhibited the proliferation of four tumor cells (SMMC-7721 cell lines, HepG-2 cell lines, A549 cell lines and Hela cell lines). C. Phaeocaulis had antioxidant and anti-inflammatory activities, which did not carry out centralized phenomenon when re-extracted. EZ-PE and EZ-EA were active antitumor sites of C. Phaeocaulis

(Z)-2-Hydr­oxy-3-(4-methoxy­phen­yl)acrylic acid

In the structure of the title compound, C10H10O4, inversion dimers linked by pairs of O—H⋯O hydrogen bonds link the carboxylic acid groups. Further O—H⋯O links cross-link the dimers into sheets running along the b-axis direction