Studying the method of adaptive prediction of forest fire evolution on the basis of recurrent neural networks

A software system is presented for implementation of a fire model on the basis of a recurrent neural network, which ensures real-time simulation of fire evolution. The quality of traditional learning and learning based on the Kalman filter in experiments performed with the neural network is compared. It is demonstrated that the fire overcomes obstacles in the form of regions consisting of incombustible materials owing to the global character of connections of the neural network simulating the fire.     

High-Temperature Ion Nitriding Carbide Disposable Inserts of T15K6 Brand

Russian Journal of Non-Ferrous Metals - High-temperature (t = 800°С) ion nitriding of carbide disposable inserts of the T15K6 brand is performed taking into account the formation of...     

Sol–gel synthesis of Ta<Subscript>2</Subscript>O<Subscript>5</Subscript>–SiO<Subscript>2</Subscript> composites from tantalum(V) chloride and tetraethyl orthosilicate in ethanol

Ta₂O₅–SiO₂ composites containing 10, 50, and 90 wt % SiO₂ have been prepared by a sol–gel process in ethanolic solutions of tantalum(V) chloride with tetraethyl orthosilicate. The physicochemical aspects of their formation have been studied by IR spectroscopy, X-ray diffraction, X-ray microanalysis, and thermal analysis in combination with mass spectrometry. The results demonstrate that the SiO₂ content of the Ta₂O₅–SiO₂ composites influences the uniformity of the tantalum and oxygen distributions on the surface of the materials and that heat-treatment conditions influence their crystallinity.     

Chemistry towards Biology—Instruct: Snapshot

The knowledge of interactions between different molecules is undoubtedly the driving force of all contemporary biomedical and biological sciences. Chemical biology/biological chemistry has become an important multidisciplinary bridge connecting the perspectives of chemistry and biology to the study of small molecules/peptidomimetics and their interactions in biological systems. Advances in structural biology research, in particular linking atomic structure to molecular properties and cellular context, are essential for the sophisticated design of new medicines that exhibit a high degree of druggability and very importantly, druglikeness. The authors of this contribution are outstanding scientists in the field who provided a brief overview of their work, which is arranged from in silico investigation through the characterization of interactions of compounds with biomolecules to bioactive materials.