Pyrethrum is a perennial daisy grown commercially for the insecticide that is extracted from its flowers. In order to evaluate germination and seedling growth of pyrethrum under different temperature and drought stress treatments, an experiment was conducted in seed technology laboratory of Faculty of Agriculture of Islamic Azad University of Isfahan branch in 2018. During this experiment, poly...

To investigate a model to simulate wheat dry matter accumulation, three wheat cultivars with different tillering abilities were grown at three densities each in a field experiment. Five simulation models with high correlation coefficients for relative dry matter accumulation were established by the method of normalized. Among these models, the Richards equation was the best in fitting and forec...

We assessed the effect of dry air (DA) nasal breathing on nasal clearance rate in healthy nonsmoking subjects. We measured saccharin nasal transit time (SNTT), an index of mucociliary clearance rate, in eleven normal subjects (six males, five females) breathing either room air (RA) or DA through the nose in random order on six different study days. On each study day, the trial was conducted at ...

The use of Carbon Fiber–Reinforced Polymers (CFRP) has increased in number of industries i.e. aerospace, automobiles, marine, medical and sports due to their light weight and high strength-stiffness. However, their properties are greatly affected under extreme e environmental conditions i.e. high temperatures and moisture uptake. The paper reports an experimental study to determine the response...

Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty in capturing long term dependencies. In backpropagation through time settings, these issues are tightly coupled with the large, sequential computational graph resulting from un...

This paper introduces a new software for adaptive identification and controller tuning, with the use of higher-order neural units and gradient descent based techniques (including backpropagation through time). The software allows the user to load real process data offline and to identify the plant or control loop as a whole. Furthermore the software experimentally investigates potentials for op...

We present the discriminative recurrent sparse auto-encoder model, comprising a recurrent encoder of rectified linear units, unrolled for a fixed number of iterations, and connected to two linear decoders that reconstruct the input and predict its supervised classification. Training via backpropagation-through-time initially minimizes an unsupervised sparse reconstruction error; the loss functi...

When put in contact with a large liquid drop, dry foams wick owing to surface-tension-driven flows until reaching equilibrium. This work is devoted to the dynamics of this imbibition process. We consider imbibition of both wetting or nonwetting liquid, by putting the dry foam into contact either with the foaming solution that constitutes the foam or with organic oils. Indeed, with the appropria...