The Position of the Artificial Intelligence Among the Elements of the Legal Relationship

The development of artificial intelligence necessitates the legal regulation of social relations associated with the use of new technologies. Today, fragmented regulatory regulation is noted in Russian law, expressed, as the rule, in strategic documents in which artificial intelligence technologies are reflected as cross-cutting technologies that contribute to the development of the digital economy. The purpose of this work is to determine the place of artificial intelligence among the elements of legal relations, which is seen as necessary for building the model of legal regulation of artificial intelligence. The research methodology is based on the set of methods of scientific knowledge, including abstract logical, formal legal and the method of correlation analysis. The article analyzes approaches to determining the place of artificial intelligence in the structure of legal relations. The scientific discussion is that some authors attribute artificial intelligence to the variety of objects of legal regulation; other authors admit that it is possible to consider artificial intelligence as the specific subject of law. As the result of research, the authors come to the conclusion that today artificial intelligence should be classified as the type of objects of legal regulation. In conclusion, the work also evaluates the possibilities and measures of the participation of artificial intelligence in legal activities. The authors come to the conclusion that today the cognitive potential of artificial intelligence has not yet reached the level of development that allowed it to repeat the thought processes of the lawyer in resolving the legal dispute. At the same time, artificial intelligence has tremendous potential to become the irreplaceable technological “assistant” for the lawyer, contributing to the improvement of the quality and efficiency of legal services

The ALICE experiment at the CERN LHC

ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy density and temperature in nucleus-nucleus collisions. Besides running with Pb ions, the physics programme includes collisions with lighter ions, lower energy running and dedicated proton-nucleus runs. ALICE will also take data with proton beams at the top LHC energy to collect reference data for the heavy-ion programme and to address several QCD topics for which ALICE is complementary to the other LHC detectors. The ALICE detector has been built by a collaboration including currently over 1000 physicists and engineers from 105 Institutes in 30 countries. Its overall dimensions are 161626 m3 with a total weight of approximately 10 000 t. The experiment consists of 18 different detector systems each with its own specific technology choice and design constraints, driven both by the physics requirements and the experimental conditions expected at LHC. The most stringent design constraint is to cope with the extreme particle multiplicity anticipated in central Pb-Pb collisions. The different subsystems were optimized to provide high-momentum resolution as well as excellent Particle Identification (PID) over a broad range in momentum, up to the highest multiplicities predicted for LHC. This will allow for comprehensive studies of hadrons, electrons, muons, and photons produced in the collision of heavy nuclei. Most detector systems are scheduled to be installed and ready for data taking by mid-2008 when the LHC is scheduled to start operation, with the exception of parts of the Photon Spectrometer (PHOS), Transition Radiation Detector (TRD) and Electro Magnetic Calorimeter (EMCal). These detectors will be completed for the high-luminosity ion run expected in 2010. This paper describes in detail the detector components as installed for the first data taking in the summer of 2008

Centrality evolution of the charged-particle pseudorapidity density over a broad pseudorapidity range in Pb-Pb collisions at root s(NN)=2.76TeV

Peer reviewe

The Ruling Layer in the Teachings of G. Mosca, V. Pareto and Classics of Eurasianism: Comparative Legal Analysis

The purpose of this paper is to compare the concepts of ruling selection and the leading layer in the works of G. Mosca, V. Pareto and the teachings of the Eurasians. In the course of their work, the authors find common and special features in these ideas and try to predict possible ways of applying the Eurasian doctrine to the Russian political reality. The authors ask about the preconditions for the formation of an original Eurasian view of the elite and the relevance of this concept in modern Russia. In the final part, the authors come to intermediate conclusions of the scientific research, which can serve as a basis for further study of the topic. The work can be useful for legal theorists, elitologists, politicians, as well as those who are interested in the Eurasian doctrine

Aerosol/Ink Jet Printing Technology for High-Temperature MEMS Sensors

In this work we present the results on the application of additive technology that is aerosol and ink jet technique for the fabrication of high-temperature metal oxide gas sensors. The application of thin (12 μm) alumina membrane, aerosol jet printing of Pt microheater (line width 40–60 μm), printed sensing layer made of nanocristalline tin dioxide based material, laser cutting of the membrane enabled the fabrication of full-printed cantilever-shaped high-temperature sensor with optimal power consumption (~80 mW at 450 °C) applicable in wireless instruments for the detection of combustible and toxic gases including methane

Microorganisms of Two Thermal Pools on Kunashir Island, Russia

The Kuril Archipelago is a part of the Circum-Pacific Belt (Ring of Fire). These islands have numerous thermal springs. There are very few studies on these microbial communities, and none of them have been conducted by modern molecular biological methods. Here we performed the first metagenomic study on two thermophilic microbial communities of Kunashir Island. Faust Lake is hot (48 °C) and highly acidic (pH 2.0). We constructed 28 metagenome-assembled genomes as well as 17 16S ribosomal RNA sequences. We found that bottom sediments of Faust Lake are dominated by a single species of red algae belonging to the Cyanidiaceae family. Archaeans in Faust Lake are more diverse than bacteria but less abundant. The Tretyakovsky Thermal Spring is also hot (52 °C) but only weakly acidic (pH 6.0). It has much higher microbial diversity (233 metagenome-assembled genomes; 93 16S ribosomal RNAs) and is dominated by bacteria, with only several archaeans and one fungus. Despite their geographic proximity, these two thermal springs were found to not share any species. A comparison of these two lakes with other thermal springs of the Circum-Pacific Belt revealed that only a few members of the communities are shared among different locations