Cinnamic aldehyde treatment alleviates chronic unexpected stress-induced depressive-like behaviors via targeting cyclooxygenase-2 in mid-aged rats

Ethnopharmacological relevance: COX-2 has been considered as a potent molecular target for prevention and therapy of depression. However, a recent study showed that COX-2 inhibitor does not improve depressive symptoms in persons aged 70 and over. Therefore, whether treatments targeting COX-2 have a clinical efficacy in depression, especially elderly individuals, remains unclear. Cinnamic aldehyde is a major constituent of Cinnamomum cassia, which has exhibited excellent anti-inflammatory activities as a COX-2 inhibitor. To investigate the potential antidepressant effect of cinnamic aldehyde in mid-aged rats

Tetra­kis[1-phenyl-3-(1H-1,2,4-triazol-1-yl-κN 4)propan-1-one]bis­(thio­cyanato-κN)manganese(II)

In the mononuclear title complex, [Mn(NCS)2(C11H11N3O)4], the MnII atom, lying on an inversion center, is coordinated by two monodentate thio­cyanate anions and four monodentate 1-phenyl-3-(1H-1,2,4-triazol-1-yl)propan-1-one ligands in a distorted octa­hedral geometry. Each complex mol­ecule is linked to four neighboring ones by weak C—H⋯N and C—H⋯S hydrogen bonds, forming a two-dimensional sheet parallel to (001)

Bis(μ-4-amino-3,5-dimethyl-4H-1,2,4-triazole-κ 2 N 1:N 2)bis­(dibromidozinc)

The centrosymmetric dimeric title complex, [Zn2Br4(C4H8N4)2], is isotypic with its [Zn2Cl4(C4H8N4)2], [Zn2I4(C4H8N4)2] and [Co2Cl4(C4H8N4)2] analogues. The zinc atom is bonded to two N atoms belonging to triazole bridging rings and to two terminal bromide ligands, in a geometry close to tetra­hedral. Weak N—H⋯Br hydrogen bonds, with the amine functions as donor groups, are observed in the crystal structure, forming a three-dimensional supra­molecular network

Failure Mechanism Analysis and Failure Number Prediction of Wind Turbine Blades

Pertinent to the problems that wind turbine blades operate in complicated conditions, frequent failures and low replacement rate as well as rational inventory need, this paper, we build a fault tree model based on in-depth analysis of the failure causes. As the mechanical vibration of the wind turbine takes place first on the blades, the paper gives a detailed analysis to the Failure mechanism of blade vibration. Therefore the paper puts forward a dynamic prediction model of wind turbine blade failure number based on the grey theory. The relative error between its prediction and the field investigation data is less than 5%, meeting the actual needs of engineering and verifying the effectiveness and applicability of the proposed algorithm. It is of important engineering significance for it to provide a theoretical foundation for the failure analysis, failure research and inventory level of wind turbine blades