cognitive architectures (cas) are the core of artificial cognitive systems. a ca is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. over the years a number of distinct cas have been proposed by different authors and their limitations and potentials were investigated. these cas are usually classified as symbolic and...

The enzyme-catalyzed activation of ribulosebisphosphate carboxylase/oxygenase (rubisco) was investigated in an illuminated reconstituted system containing thylakoid membranes, rubisco, ribulosebisphosphate (RuBP), MgCl(2), carbonic anhydrase, catalase, the artificial electron acceptor pyocyanine, and partially purified rubisco activase. Optimal conditions for light-induced rubisco activation we...

objective: in this study, we sought to better understand the immunoregulatory function of stem cells derived from human exfoliated deciduous teeth (shed). we studied the role of the interferon gamma (ifn-γ)-indoleamine 2,3-dioxygenase (ido)-axis in immunoregulation of shed compared to bone marrow derived mesenchymal stem cells (bmmscs) under the same conditions. materials and methods: in this c...

Ru3(μ-CO)3(CO)5-type clusters bound to the dinucleating PNNP expanded pincer ligand are described. Deprotonation of a methylene linker gives an anionic triruthenium cluster featuring dearomatized ligand. Interestingly, H2 activation by resulting appears not proceed through metal-ligand cooperativity.

The Front Cover shows photo-thermal catalyst Ni/TiO2 providing significantly increased CO and CO2 conversion under light irradiation. In their Research Article, F. Yu, B. Dai, Y. Zhou co-workers found that photoinduced charge carriers on the surfaces of could enhance formation intermediate species, reduce activation energy barrier required for reaction advance performance CO/CO2 methanation. Mo...

It is well known that two complementary learning modules are important to achieve human-level language understanding: one gradually acquires structured representations of knowledge from language, the other quickly learns the episodic memory composed of individual knowledge. In this paper, we suggest a new machine learning model which combines symbolic and neuronal approaches to construct the co...