The structure, expression and function of the transient receptor potential vanilloid 1 (TRPV1) receptor were intensively studied since the cloning in 1997 and TRPV1 receptors are now considered to act as transducers and molecular integrators of nociceptive stimuli in the periphery. In contrast, spinal TRPV1 receptors were studied less extensively and their role in pain modulation is still not fully understood. This short review is a follow up on our previous summary in this area ( Spicarova and Palecek 2008). The aim was to review preferentially the most recent findings concerning the role of the spinal TRPV1 receptors, published within the last five years. The update is given on the expression and function of the spinal TRPV1 receptors, their activation by endogenous agonists, interaction between the endocannabinoid and endovanillod system and possible role of the spinal TRPV1 receptors in pathological pain states. There is now mounting evidence that TRPV1 receptors may be an important element in modulation of nociceptive information at the spinal cord level and represent an interesting target for analgesic therapy., D. Spicarova, V. Nerandzic, J. Palecek., and Obsahuje bibliografii a bibliografické odkazy
Physical exercise instruction sheets are difficult to understand. In general, considerable information is hidden in these types of instruction sheets, which also makes them difficult for machines to understand. Major missing information types include the source and destination location of a human movement. Here we present a Bayesian network to extract the implicit or missing information from typical exercise instruction sheets. We proposed two different kind of Bayesian networks which consists of three and four variables respectively. The network with three variable are designed to for single exercise instruction with single action or pose and the other one designed for single or multiple sentence with two actions or poses. The conditional probability table (CPT) is the backbone of the Bayesian network. At the start, the CPT is updated from our physical exercise instruction sheet corpus (PEISC). Keeping the Action and Bodypart fixed, we have developed our CPT using a unique approach, i.e., crowdsourcing, where we have developed a CPT update system using 13 different exercises consisting of 44 different exercise videos. Using this system based on the rating of a participant of the video the specific variable of that CPT is updated automatically in the Bayesian network. We also updated the Action variable, which consists of 14 different values (action verbs) using crowdsourcing with a human computation approach.
Clusia is a widely distributed neotropical genus with 321 currently described species. This remarkable genus is the only one known to contain trees sensu stricto with CAM photosynthesis. To survey the occurrence of CAM in Clusia species from Colombia, we determined the leaf stable carbon isotope composition (δ13C) of 568 specimens from 114 species deposited in 12 Colombian herbaria. In the vast majority of specimens, δ13C values indicated that C3 photosynthesis was the principal contributor to carbon gain. δ13C values typical of strong CAM (less negative than -20‰) were observed in only five species, in four of them for the first time. All samples with CAM-type isotopic signatures were collected below 1,000 m a.s.l., whereas species with predominantly C3 occurred from sea level to 3,500 m a.s.l. Together with information already available in the literature, we conclude that CAM is present in 22% (35/156) of the species of Clusia investigated thus far.