Behavior-driven energy conservation has been a promising strategy for reducing building energy consumption as well as carbon emissions. With the intention of revealing the impacts of an individual’s personality basis on energy conservation behavioral attitudes and intentions in households and offices, the present study proposes and conducts an experiment in Xi’an, China with two groups for the investigation of such attitudes towards household energy-saving behavior (HESB) and office energy-saving behavior (OESB), respectively. The research adopts structural equation modeling for experiment data analysis. The analysis results suggest that the two personality traits, Agreeableness and Neuroticism, are significantly related to both HESB and OESB attitudes. Especially, agreeable people tend to present stronger energy-saving attitudes, while individuals with higher Neuroticism are less likely to do so. The results indicate that the impacts of these two traits on energy-saving attitude are found to be less influenced by different environment settings. Further, the results find that Extraversion positively influences energy-saving attitude in the office environment, while Openness only significantly works in the household environment. It is hoped that the findings of the present study can provide informative references to energy-saving intervention design as well as further studies on the spillover of pro-environmental behaviors.

Coronary collateralization is substantially impaired in patients with type 2 diabetes and occlusive coronary artery disease, which leads to aggravated myocardial ischemia and a more dismal prognosis. In a diabetic setting, altered serum lipid profiles and profound glycoxidative modification of lipoprotein particles induce endothelial dysfunction, blunt endothelial progenitor cell response, and severely hamper growth and maturation of collateral vessels. The impact of dyslipidemia and lipid-lowering treatments on coronary collateral formation has become a topic of heightened interest. In this review, we summarized the association of triglyceride-based integrative indexes, hypercholesterolemia, increased Lp(a) with its glycoxidative modification, as well as quantity and quality abnormalities of high-density lipoprotein with impaired collateral formation. We also analyzed the influence of innovative lipid-modifying strategies on coronary collateral development. Therefore, clinical management of diabetic dyslipidemia should take into account of its effect on coronary collateralization in patients with occlusive coronary artery disease.

In China, the fruits of Physalis alkekengi L. var. franchetii, which are conventionally utilized as edible berry, have attracted wide attention due to its significant biological activities. In the present study, phytochemical studies on the fruits of Physalis plants afforded six compounds, including two new withanolides (1-2) and four known agnologues (3-6). The inhibitory effects of these compounds on the formation of nitric oxide (NO) stimulated by lipopolysaccharide (LPS) in RAW264.7 macrophages were evaluated. Physapubescin M (1), with IC 50 value of 1.58 μM, was selected for further study. The protein expression of COX-2 and iNOS, and LPS-induced production of cytokines (IL-6, IL-1β and TNF-α) were reduced by physapubescin M (1) in a dose-dependent way. In addition, transcriptomic analyses were conducted to profile gene expression alterations in LPS-induced RAW264.7 cells upon treatment of physapubescin M (1) and the potential antiinflammatory mechanism of withnolides was mentioned. These results provide broad view to the underlying antiinflammatory mechanism of withnolides, and give a theoretical basis for the utilization of the fruits of P. alkekengi L. var. franchetii.

The stator core is an important part of large turbo-generator .The its natural frequency must be to avoid the operating frequency and the double frequency. In this paper, stator core structure of 1000MW generator is considered as the research object. In the Pro / E software, its virtual manufacturing model is built for design and manufacture of stator core; In ANSYS software, a parametric finite element model is established for virtual experimental modal analysis; The virtual prototype model in the different constraints (free, and different constraints) and different core parameters (such as the core inner and outer diameter, length) is used to analyze and solve its natural frequencies and mode shape changes. For design, manufacturing and on-line monitoring and fault diagnosis of a variety of large-capacity turbine generator, the research approach and results provide an important basis.