Several compounds were tested on the differential-reinforcement-of-low-rate 72-sec (DRL 72-sec) schedule, a behavioral screen to determine putative antidepressants; these compounds were evaluated in two outbred stocks of rats, Harlan and Holtzman Sprague-Dawley rats. A dose-response determination for the tricyclic antidepressants, imipramine and desipramine, the selective serotonin (5-hydroxytr...

Introduction Given the fact that children are more sensitive to radiation, compared to adults, special attention needs to be paid to radiation protection in pediatric radiology. Diagnostic reference level (DRL) has been defined to be employed as a practical tool for examining the overall performance of a radiological center in terms of patient dose among a series of similar equipments in an are...

During development, muscles must form and attach at highly stereotyped positions to allow for coordinated movements. In Drosophila, muscles grow towards and attach to specifically positioned cells within the epidermis. At the molecular level, very little is known about how muscles recognize these attachment sites. The derailed gene encodes a receptor tyrosine kinase family member that is essent...

Network virtualization is a main paradigm of Future Internet research. It allows for automatic creation of virtual networks with application specific resource management, routing, topology and naming. Since those virtual networks need to be implemented by means of the underlying physical network, the Virtual Network Mapping Problem (VNMP) arises. In this work, we introduce the Virtual Network M...

Choline availability in the maternal diet has a lasting effect on brain and behavior of the offspring. To further delineate the impact of early nutritional status, we examined effects of prenatal-choline supplementation on timing, emotion, and memory performance of adult male and female rats. Rats that were given sufficient choline (CON: 1.1 g/kg) or supplemental choline (SUP: 5.0 g/kg) during ...

The DRL (Delayed Reinforcement Learning) problem is classical in Reinforcement Learning theory. There were several agent architectures solving that problem including some connectionist architectures. This work describes an early connectionist agent architecture, the CAA architecture, that solved the problem using the concept of emotion it its learning rule. The architecture is compared to anoth...

The vertebrate heart muscle (myocardium) develops from the first heart field (FHF) and expands by adding second heart field (SHF) cells. While both lineages exist already in teleosts, the primordial contributions of FHF and SHF to heart structure and function remain incompletely understood. Here we delineate the functional contribution of the FHF and SHF to the zebrafish heart using the cis-reg...

Deep reinforcement learning (DRL) demonstrates its potential in learning a model-free navigation policy for robot visual navigation. However, the data-demanding algorithm relies on a large number of navigation trajectories in training. Existing datasets supporting training such robot navigation algorithms consist of either 3D synthetic scenes or reconstructed scenes. Synthetic data suffers from...

Using Deep Reinforcement Learning (DRL) can be a promising approach to handle various tasks in the field of (simulated) autonomous driving. However, recent publications mainly consider learning in unusual driving environments. This paper presents Driving School for Autonomous Agents (DSA2), a software for validating DRL algorithms in more usual driving environments based on artificial and reali...

Cognitive dysfunction may be a core feature of major depressive disorder, including affective processing bias, abnormal response to negative feedback, changes in decision making, and increased impulsivity. Accordingly, a translational medicine paradigm predicts clinical action of novel antidepressants by examining drug-induced changes in affective processing bias. With some exceptions, these co...