A variety of social and digital media technologies are being used to influence a change in an individual’s or group’s behaviour. A major challenge is in understanding what leads to or prevents different forms of influence from having an effect, what those effects are, how long they take to come about and for how long they last. This research is concerned with the problem domain of climate chang...

Imputing missing values in high dimensional time series is a difficult problem. There have been some approaches to the problem [11, 8] where neural architectures were trained as probabilistic models of the data. However, we argue that this approach is not optimal. We propose to view temporal neural networks with latent variables as energy-based models and train them for missing value recovery d...

Land leveling is one of the most important steps in soil preparation and cultivation. Although land leveling with machines requires considerable amount of energy, it delivers a suitable surface slope with minimal soil deterioration as well as damage to plants and other organisms in the soil. Notwithstanding, in recent years researchers have tried to reduce fossil fuel consumption and its delete...

Density functional theory methods(DFT) and natural bond orbital (NBO) analysis were used to investigate the effects of isomerism and side chain mutation at a microscopic level on the stability, binding energy and NMR/NQR tensors of structural isomers, L- methionylasparagine (Met-Asn) and L- asparagylmethionine (Asn-Met) in the gas phase. The results represented that the isomerism and side chain...

Energy transitions require a rethinking of the role public authorities to integrate views and concerns. Through case study in Geneva, Switzerland, this article examines how sees authority transformation local energy system by developing canton-wide geothermal program. We use values perspective, identifying linked roles responsibilities state. Analyzing allows understanding perceives state actio...