Octopus maya is a carnivorous species and protein is the main energy source. During the present s... more Octopus maya is a carnivorous species and protein is the main energy source. During the present study, two different dietary protein levels (40 and 60% CP) were offered to octopuses as specifically designed artificial diets, to determine protein needs and the effects on metabolism. Frozen crab (Callinectes spp.) was used as control. Results obtained demonstrated that crab remains as one of the best diets for O. maya. The artificial diet with 60% CP produced a low but positive growth rate, and at times, a physiological response similar to that observed in octopuses fed crabs. The present results show the capacity of O. maya juveniles to adjust their digestive enzymes to different types of food and protein level, and this appears to be well correlated with octopus growth. General proteases and trypsin from the pancreas were well correlated with growth rates. A low activity was observed in octopuses fed 40% PC diet (negative growth rate), while a high activity was present in octopuses fed 60% CP diet and crabs (low and high growth rate, respectively). In contrast, these same enzymes were inducted in the salivary glands of octopuses fed with the diet that promoted weight loss (40% CP diet), while a reduced activity was observed in octopuses fed crabs. Energy budget indicates that the animals ingested more than 1,000 kJ week−1 kg−1; with such energy, octopuses should satisfy their physiological demands such as was observed when animals were fed crab (I = 1,300 kJ week−1 kg−1; P = 834 kJ week−1 kg−1). However, a very low digested energy was observed in octopuses the fed artificial diets, indicating that these could have a factor that limits digestibility.
This paper is dedicated to the memory of our ATLAS colleagues who did not live to see the full im... more This paper is dedicated to the memory of our ATLAS colleagues who did not live to see the full impact and significance of their contributions to the experiment.
A search for tt resonances in lepton+jets events with highly boosted top quarks collected in pp c... more A search for tt resonances in lepton+jets events with highly boosted top quarks collected in pp collisions at √ s = 7 TeV with the ATLAS detector
The development of service robots has recently received considerable attention. Their deployment,... more The development of service robots has recently received considerable attention. Their deployment, however, normally involves a substantial programming effort to develop a particular application. With the incorporation of service robots to daily activities, it is expected that they will require to perform different tasks. Fortunately, many of such applications share common modules such as navigation, localization and human interaction, among others. In this chapter, a general framework to easily develop different applications for service robots is presented. In particular, we have developed a set of general purpose modules for common tasks that can be easily integrated into a distributed, layered architecture, and coordinated by a decision-theoretic planner to perform different tasks. The coordinator is based on a Markov decision process (MDP) whose reward is set according to the task's goal, the states are represented by a set of variables affected by the general modules, and the actions correspond to the execution of the different modules. In order to create a new application the user only needs to define a new MDP whose solution provides an optimal policy that coordinates the different behaviors for performing the task. The effectiveness of our approach is experimentally demonstrated in four different service robot tasks with very promising results. Additionally, several aspects include some novel ideas; in particular in navigation, localization and gesture recognition.
Octopus maya is a carnivorous species and protein is the main energy source. During the present s... more Octopus maya is a carnivorous species and protein is the main energy source. During the present study, two different dietary protein levels (40 and 60% CP) were offered to octopuses as specifically designed artificial diets, to determine protein needs and the effects on metabolism. Frozen crab (Callinectes spp.) was used as control. Results obtained demonstrated that crab remains as one of the best diets for O. maya. The artificial diet with 60% CP produced a low but positive growth rate, and at times, a physiological response similar to that observed in octopuses fed crabs. The present results show the capacity of O. maya juveniles to adjust their digestive enzymes to different types of food and protein level, and this appears to be well correlated with octopus growth. General proteases and trypsin from the pancreas were well correlated with growth rates. A low activity was observed in octopuses fed 40% PC diet (negative growth rate), while a high activity was present in octopuses fed 60% CP diet and crabs (low and high growth rate, respectively). In contrast, these same enzymes were inducted in the salivary glands of octopuses fed with the diet that promoted weight loss (40% CP diet), while a reduced activity was observed in octopuses fed crabs. Energy budget indicates that the animals ingested more than 1,000 kJ week−1 kg−1; with such energy, octopuses should satisfy their physiological demands such as was observed when animals were fed crab (I = 1,300 kJ week−1 kg−1; P = 834 kJ week−1 kg−1). However, a very low digested energy was observed in octopuses the fed artificial diets, indicating that these could have a factor that limits digestibility.
This paper is dedicated to the memory of our ATLAS colleagues who did not live to see the full im... more This paper is dedicated to the memory of our ATLAS colleagues who did not live to see the full impact and significance of their contributions to the experiment.
A search for tt resonances in lepton+jets events with highly boosted top quarks collected in pp c... more A search for tt resonances in lepton+jets events with highly boosted top quarks collected in pp collisions at √ s = 7 TeV with the ATLAS detector
The development of service robots has recently received considerable attention. Their deployment,... more The development of service robots has recently received considerable attention. Their deployment, however, normally involves a substantial programming effort to develop a particular application. With the incorporation of service robots to daily activities, it is expected that they will require to perform different tasks. Fortunately, many of such applications share common modules such as navigation, localization and human interaction, among others. In this chapter, a general framework to easily develop different applications for service robots is presented. In particular, we have developed a set of general purpose modules for common tasks that can be easily integrated into a distributed, layered architecture, and coordinated by a decision-theoretic planner to perform different tasks. The coordinator is based on a Markov decision process (MDP) whose reward is set according to the task's goal, the states are represented by a set of variables affected by the general modules, and the actions correspond to the execution of the different modules. In order to create a new application the user only needs to define a new MDP whose solution provides an optimal policy that coordinates the different behaviors for performing the task. The effectiveness of our approach is experimentally demonstrated in four different service robot tasks with very promising results. Additionally, several aspects include some novel ideas; in particular in navigation, localization and gesture recognition.
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Papers by Josue Sanchez