Machine-learning algorithms aid predictions for complex systems with multiple influencing variables. However, many neural-network related algorithms behave as black boxes in terms of revealing how the prediction of each data record is performed. This drawback limits their ability to provide detailed insights concerning the workings of the underlying system, or to relate predictions to specific ...

there are two dominant approaches to describe and understand the anatomy of complete health and well-being systems internationally. yet, neither approach has been able to either predict or explain occasional but dramatic crises in health and well-being systems around the world and in developed emerging market or developing country contexts. as the impacts of such events can be measured not simp...

A new dimeric orthopalladated complex was synthesized via reaction of 2,3-dimethoxy benzaldehyde oxime with palladium chloride and lithium chloride in methanol as solvent and sodium acetate as base at room temperature. The catalytic activity of this dimeric [Pd{C6H2(-CH=NOH)-(OMe)2-2,3}(µ-Cl)]2 complex as an efficient, air, and moisture tolerant catalyst was investigated in Mizoroki–Heck cross ...

A new dimeric orthopalladated complex was synthesized via reaction of 2,3-dimethoxy benzaldehyde oxime with palladium chloride and lithium chloride in methanol as solvent and sodium acetate as base at room temperature. The catalytic activity of this dimeric [Pd{C6H2(-CH=NOH)-(OMe)2-2,3}(µ-Cl)]2 complex as an efficient, air, and moisture tolerant catalyst was investigated in Mizoroki–Heck cross ...

Cellular Automata (CA) are parallel computing models whose evolution is governed by purely local laws. The global dynamics of complex systems simulated by means of CA emerges from the local interactions of their elementary components. Some macroscopic natural phenomena are included in the class of such complex systems. Among them, of particular interest are several W\SHVRI³VXUIDFHIORZV´ where t...