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Artificial intelligence applications in finance:a survey

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Journal of management Analytics 2023年第4期10卷 676-692页

作者： Xuemei Li Alexander Sigov leonid Ratkin leonid A.ivanov Ling Li Department of Information Technology and Decision Sciences Strome College of BusinessOld Dominion UniversityNorfolkVAUSA Department of Electronic machinery University of Electronic Science and Technology of ChinaChengduPeople’s Republic of China Russian Technological University MoscowRussian Federation Russian Academy of Sciences MoscowRussian Federation Russian Academy of Engineering MoscowRussian Federation

Finance is in our daily *** invest,borrow,lend,budget,and save *** also provides guidelines for corporation and government spending and revenue *** statistical solutions such as regression,PCA,and CFA have been widely used in financial forecasting and *** the increasing interest in artificial intelligence in recent years,this paper reviews the Artificial Intelligence(AI)techniques in the finance domain systematically and attempts to identify the current AI technologies used,major applications,challenges,and trends in *** explores AI-related articles in Finance in IEEE Xplore and EI compendex *** suggest AI has been engaged in Finance in financial forecasting,financial protection,and financial analysis and decision-making *** forecasting is one of the main sub-fields of Finance affected by AI *** major AI technology used is supervised *** learning has gained popular in recent *** could be used to address some emerging topics.

关键词： machine learning artificial intelligence finance

Estimating Circulation Patterns by Combining Velocity and Tracer Observations

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Open Journal of Applied Sciences 2013年第1期3卷 8-14页

作者： leonid I. Piterbarg leonid m. ivanov Department of mathematics University of Southern California Kaprielian Hall Los Angeles USA Naval Postgraduate School moneterey Monterey USA

A method is suggested for estimating unknown velocities by combining their sparse measurements with observations of a tracer on a fine grid advected by the underlined velocity field. The dependence of the estimation error on a coarseness parameter and parameters of the flow in question is investigated numerically using synthetic velocity fields typical for real oceanic circulation. In an advanced version of the estimation procedure uncertainty in the transport equation forcing is modeled via a fuzzy sets approach. We also compare the method with a traditional interpolation which is in contrast to the developed procedure unable to capture the flow details.

关键词： Data Fusion Inverse Problem Surface Velocities Fuzzy Sets

Preparation and Properties of Foam Glass-ceramic from Diatomite

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Journal of Wuhan University of Technology(materials Science) 2018年第2期33卷 273-277页

作者： ivanov KS Institute of the Earth Cryosphere Siberian Branch of Russian Academy of Sciences Tyumen 625026 Russia Tyumen Industrial University Tyumen 625000 Russia

The results of the study of raw mix preparation and foam glass-ceramics production using diatomite as a raw material were presented in the following article. A mixture of diatomite and 40% NaOH solution was subjected to heating at a constant temperature of 775 ℃. Samples of foam glass-ceramic from diatomite with an average density of 290-580 kg/m^3, compressive strength of 1.7-7.8 mPa and thermal conductivity of 0.08-0.14 W/（m·K） were obtained. The investigations have shown that the hydrothermal pretreatment of mixture at the temperature of 90 ℃ may lead to the acceleration of the leaching of amorphous SiO_2 from diatomite. It was discovered that the resulting soluble alkali silicates promote the process of foaming during heating and reduce the average density of the obtained samples. The optimal duration of the leaching process was estimated to be 30 minutes, which corresponds to the yield of SiO_2 equal to 42.5% by the weight of dry diatomite.

关键词： diatomite liquid glass foam glass-ceramics

Effect of the addition of rare earths on the activity of alumina supported copper cobaltite in CO oxidation, CH_4 oxidationand NO decomposition

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Journal of Rare Earths 2015年第4期33卷 382-390页

作者： B.ivanov I.Spassova m.milanova G.Tyuliev m.Khristova Institute of General and Inorganic Chemistry Bulgarian Academy of Sciences Faculty of Chemistry and Pharmacy Sofia University Institute of Catalysis Bulgarian Academy of Sciences

The effect of the addition of small amounts of rare earths （Ln=La, Ce, Nd and Gd） to alumina supported copper-cobalt spinel oxide on the catalysts efficiency in CO and CH4 oxidation and in NO decomposition was investigated. Samples of Ln/CuCo/AI catalyst were prepared and characterized by X-ray diffraction （XRD）, X-ray photoelectron spectroscopy （XPS）, atomic absorption spectroscopy （AAS）, scanning electron mieroscopy-energy dispersive spectroscopy （SEm-EDS）, H2-temperature-programmed reduc- tion （H2-TPR）, electron paramagnetic resonanee （EPR） spectroscopy and low temperature nitrogen adsorption, The results showed that the addition of rare earths changed the surface state of the alumina supported copper-cobalt spinel catalyst. As a result, partial re- duction of copper species was observed as well as migration of these species between the surface and the bulk. The Ln/CuCo/A1 catalysts behaved differently in oxidation and reduction processes. In oxidation processes where oxide structure was important, Ce/CuCo/A1 and Nd/CuCo/A1 were the most active catalysts. The catalyst Ce/CuCo/AI was the most active in the oxidation reactions because of the availability and favorable surface distribution of the redox couples Cu＋/Cu2＋ and Ce3＋/Ce4＋. In NO decompostion, Ln-modified catalysts significantly improved the selectivity of the process to N2.

关键词： copper cobaltite NO decomposition CO oxidation CH4 oxidation rare earths

Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-mining Approach

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Big Data mining and Analytics 2024年第1期7卷 107-130页

作者： Nadezhda Yu.Biziukova Sergey m.ivanov Oga A.Tarasova Department of Bioinformatics Institute of Biomedical ChemistryMoscow 119121Russia Department of Bioinformatics Pirogov Russian National Research Medical UniversityMoscow 117997Russia

Analysis of molecular mechanisms that lead to the development of various types of tumors is essential for biology and medicine,because it may help to find new therapeutic opportunities for cancer treatment and cure including personalized treatment *** of the pathways known to be important for the development of neoplastic diseases and pathological processes is the Hedgehog signaling pathway that normally controls human embryonic *** accumulation of various types of biological data,including interactions between proteins,regulation of genes transcription,proteomics,and metabolomics experiments results,allows the application of computational analysis of these big data for identification of key molecular mechanisms of certain diseases and pathologies and promising therapeutic *** aim of this study is to develop a computational approach for revealing associations between human proteins and genes interacting with the Hedgehog pathway components,as well as for identifying their roles in the development of various types of *** automatically collect sets of abstract texts from the NCBI Pubmed bibliographic *** recognition of the Hedgehog pathway proteins and genes and neoplastic diseases we use a dictionary-based named entity recognition approach,while for all other proteins and genes machine learning method is *** association extraction,we develop a set of semantic *** complete the results of the text analysis with the gene set enrichment *** identified key pathways that may influence the Hedgehog pathway and their roles in tumor development are then verified using the information in the literature.

关键词： text-mining data mining Hedgehog pathway neoplastic processes enrichment analysis pathology molecularmechanisms

Highly transparent ytterbium doped yttrium lanthanum oxide ceramics

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Journal of Rare Earths 2014年第3期32卷 254-258页

作者： m.ivanov Yu.Kopylov V.Kravchenko 李江 A.medvedev 潘裕柏 Institute of Electrophysics UrB of RAS 106Amundsena 620016 Ekaterinburg Russia Institute of Radioengineering and Electronics named after V.A. Kotelnikov RAS Vvedensky Sq. 1 Fryazino Moscow region 141120 Russia Shanghai Institute of Ceramics Chinese Academy of Science Ural Federal University 19 Mira 620002 Ekaterinburg Russia

To prepare ytterbium doped lanthania yttria nanopowder a method of laser evaporation of mixed oxides was used. After calcinations of the powder at 1200 ℃ a pure single-phase solid solution yb3＋：（LaxY1-x）2O3 was formed in the nanoparticles. Influence of lanthanum oxide as an isovalent additive on the yttria structure was investigated. The lanthanium ions were proved to be a good aid to sinter yttria ceramics doped with Yb3＋ at moderate temperatures about 1650 ℃. The ceramics with relative density higher than 99.99% and grain size about 40 μm were fabricated. Full transmittance of 1.8 mm thick Yb0.11 La0.23Y1.66O3 ceramics reached 82.5% at 800 nm. This material could be a good gain medium for ytterbium high power pulse lasers.

关键词： RE-doped ceramics nanopowders ytterbium oxide transparency

Results of the main Phase of Ion Separation in the Process of Plasma-Optical mass Separation

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Plasma Science and Technology 2015年第10期17卷 862-868页

作者： V.m.BARDAKOV S.D.ivanov A.V.KAZANTSEV N.A.STROKIN Institute for Physics and Technology Irkutsk State Technical University

This paper presents separation results of a mixture of nitrogen, argon and krypton ions in the process of plasma-optical mass separation on the POmS-E-3 separator model. We determined the behavior of the separation with a change in the value of magnetic field induction in the azimuthator and in the degree of compensation of the spatial charge in ion flows. An analysis is performed for experimental data by correlation with the results of a theoretical study and numerical experiments. The objectives of future experiments are outlined.

关键词： plasma-optical mass separation plasma accelerator trajectories spatial charge

Computational fluid dynamics simulations of aerosol behavior in a high-speed (Heubach) rotating drum dustiness tester

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Particuology 2023年第1期72卷 68-80页

作者： Hongyu Chen milind A.Jog leonid A.Turkevich Thermal-Fluids and Thermal Processing Lab Mechanical&Materials EngineeringUniversity of CincinnatiCincinnatiOH 45221-0072USA Division of Field Studies and Engineering(DFSE) National Institute for Occupational Safety&Health(NIOSH)The Centers for Disease Control&Prevention(CDC)Alice Hamilton Laboratory1090 Tusculum AvenueCincinnatiOH 45226USA

Potential exposure from hazardous dust may be assessed by evaluating the dustiness of the powders being *** is the tendency of a powder to aerosolize with a given input of *** we used computational fluid dynamics(CFD)to numerically investigate the flow inside the European Standard(EN15051)rotating drum dustiness tester during its *** present work extends those CFD studies to the widely used Heubach rotating *** flow characteristics are investigated within the Abe-Kondoh-Nagano k-epsilon turbulence model;the aerosol is incorporated via a Euler-Lagrangian multiphase *** air flow inside these drums consists of a well-defined axial jet penetrating relatively quiescent *** spreading of the Heubach jet results in a fraction of the jet recirculating as back-flow along the drum walls;at high rotation rates,the axial jet becomes *** flow behavior qualitatively differs from the stable EN15051 flow *** aerodynamic instability promotes efficient mixing within the Heubach drum,resulting in higher particle capture efficiencies for particle sizes dm.

关键词： Rotating drum Dustiness Euler-Lagrangian multiphase AKN k-epsilon turbulence

Soil respiration in paludified forests of European Russia

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Journal of Forestry Research 2020年第5期31卷 1939-1948页

作者： Dmitry ivanov Fedor Tatarinov Julia Kurbatova A.N.Severtsov Institute of Ecology and Evolution RAS Leninsky Prospekt 33MoscowRussia 119071 Weizmann Institute of Science Herzl St 23476100 RehovotIsrael

Soil respiration studies in paludified forests of the European part of Russia are quite rare in comparison with those of open peat bogs,which make long-term observations in this region highly *** this study,soil CO2 emissions were measured by the close chamber method in different microlandscapes of paludified *** four summer seasons with different environments,soil respiration ranged from 1078 to 248 mg CO2 m^-2 h^-1 in a paludified spruce forest site with coarse woody debris to 659–820 mg CO2 m^-2 h^-1 in a paludified boggy pine *** most intensive soil respiration was observed during the hot summer of 2013 and the lowest in the hot and humid summer of *** total soil CO2 emissions in paludified forests in 2015–2016 were approximately 2000–3000 g CO2 *** the year,the lowest CO2 emission values were observed from November to April(14–84 mg CO2 m^-2 h^-1)and the maximum were in July and August(522–1205 mg CO2 m^-2 h^-1).The contributions of CO2 emissions in the cold November–April period were 6–8.5%.The impacts of temperature on soil respiration were higher(r2=0.45–0.57)than those of groundwater levels(r^2=0.17–0.49).Soil respiration in the paludified spruce forest and in the pine bog generally were higher than emissions from ecosystems with similar hydrothermal conditions in the boreal zone.

关键词： Carbon flux Chamber measurements CO2 emission Peatlands Southern taiga