352 research outputs found

    Π£ΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΠ΅ ΠΎΡ‚ ΡƒΠΏΠ»Π°Ρ‚Ρ‹ Π½Π°Π»ΠΎΠ³ΠΎΠ²: библиомСтричСский Π°Π½Π°Π»ΠΈΠ· Ρ‚ΠΎΡ‡Π΅ΠΊ зрСния власти, бизнСса ΠΈ Π½Π°ΡƒΠΊΠΈ

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    Π‘Ρ‚Π°Ρ‚ΡŒΡ посвящСна Π°Π½Π°Π»ΠΈΠ·Ρƒ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ, ΠΊΠ°ΡΠ°ΡŽΡ‰ΠΈΡ…ΡΡ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ уклонСния ΠΎΡ‚ ΡƒΠΏΠ»Π°Ρ‚Ρ‹ Π½Π°Π»ΠΎΠ³ΠΎΠ². Π­Ρ‚Π° Ρ‚Π΅ΠΌΠ° ΠΏΡ€ΠΈΠ²Π»Π΅ΠΊΠ°Π΅Ρ‚ ΠΏΡ€ΠΈΡΡ‚Π°Π»ΡŒΠ½ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ сообщСства. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ исслСдуСтся соотвСтствиС ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π°Π±ΠΎΡ‚ ΠΏΠΎ ΡƒΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΡŽ ΠΎΡ‚ ΡƒΠΏΠ»Π°Ρ‚Ρ‹ Π½Π°Π»ΠΎΠ³ΠΎΠ² практичСским вопросам, обсуТдаСмым заинтСрСсованными Π»ΠΈΡ†Π°ΠΌΠΈ. Π’ качСствС источника Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ ΠΏΠΎ Π΄Π°Π½Π½ΠΎΠΉ Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠ΅ использовалась элСктронная Π±Π°Π·Π° e-Library. Π’ ΠΊΡ€ΡƒΠ³ заинтСрСсованных Π»ΠΈΡ†, Π½Π°ΠΏΡ€ΡΠΌΡƒΡŽ зависящих ΠΎΡ‚ ΠΏΡ€Π°Π²ΠΈΠ» налогооблоТСния, входят бизнСссообщСство ΠΈ государствСнныС ΠΎΡ€Π³Π°Π½Ρ‹. Для Π½ΠΈΡ… источниками ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΏΠΎ исслСдуСмой Ρ‚Π΅ΠΌΠ΅ ΡΠ²Π»ΡΡŽΡ‚ΡΡ элСктронная Π±Π°Π·Π° ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ ΠΈΠ·Π΄Π°Ρ‚Π΅Π»ΡŒΡΠΊΠΎΠ³ΠΎ Π΄ΠΎΠΌΠ° Β«ΠšΠΎΠΌΠΌΠ΅Ρ€ΡΠ°Π½Ρ‚ΡŠΒ» ΠΈ «Российская Π³Π°Π·Π΅Ρ‚Π°Β». Для Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΡ‚ΠΎΠ±Ρ€Π°Π½Π° 301 публикация Π·Π° 2013-2015 Π³Π³. Π˜Π·ΡƒΡ‡Π΅Π½ΠΈΠ΅ соотвСтствия ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ ΠΏΡƒΡ‚Π΅ΠΌ сравнСния ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ активности Π² Ρ€Π°Π·Ρ€Π΅Π·Π΅ Π²ΠΈΠ΄ΠΎΠ² ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ. На ΠΏΠ΅Ρ€Π²ΠΎΠΌ этапС исслСдования Π±Ρ‹Π» Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ качСствСнный ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚-Π°Π½Π°Π»ΠΈΠ· посрСдством выявлСния ΠΎΠ±Ρ‰ΠΈΡ… Ρ‚Π΅ΠΌ, обсуТдаСмых Π² публикациях. Π—Π°Ρ‚Π΅ΠΌ проводился количСствСнный Π°Π½Π°Π»ΠΈΠ· Ρ‡Π΅Ρ€Π΅Π· сравнСниС распрСдСлСния ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ ΠΏΠΎ ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΎΠΉ Ρ‚Π΅ΠΌΠ΅ ΠΈΠ· ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ источника. Для количСствСнного Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ Π²ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² использовались ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ библиомСтричСского Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ картирования. РасчСты ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»ΠΈΡΡŒ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° QDA Miner v.5.0 ΠΌΠΎΠ΄ΡƒΠ»ΡŒ WordStat v.7.1.7. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ исслСдования Π±Ρ‹Π»ΠΈ сдСланы Π²Ρ‹Π²ΠΎΠ΄Ρ‹, Ρ‡Ρ‚ΠΎ самыми популярными Ρ‚Π΅ΠΌΠ°ΠΌΠΈ, интСрСс ΠΊ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ Π½Π΅ мСняСтся, ΡΠ²Π»ΡΡŽΡ‚ΡΡ: ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π°, законотворчСство ΠΈ усилСниС принуТдСния. Π’Π΅ΠΌΡ‹, ΠΊ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ Π·Π° рассматриваСмый ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ снизился интСрСс, ΠΊΠ°ΡΠ°ΡŽΡ‚ΡΡ ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… аспСктов налогооблоТСния, Ρ‚Π΅Π½Π΅Π²ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ, собствСнности ΠΈ инвСстиций. ΠžΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠ΅ возрастаниС интСрСса сообщСства ΠΊ Ρ„ΠΈΡ€ΠΌΠ°ΠΌ-ΠΎΠ΄Π½ΠΎΠ΄Π½Π΅Π²ΠΊΠ°ΠΌ, руководству ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΊ вопросам ΡˆΡ‚Ρ€Π°Ρ„ΠΎΠ² ΠΈ ΠΏΠ΅Π½ΠΈ. ИсслСдованиС ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ΅ нСсоотвСтствиС Ρ‚Π΅ΠΌ, обсуТдаСмых бизнСсом ΠΈ Π²Π»Π°ΡΡ‚ΡŒΡŽ, ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Ρ‚Π΅ΠΌΠ°ΠΌΠΈ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ. РаспространСнныС Π² Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… публикациях Ρ‚Π΅ΠΌΡ‹ (тСнСвая экономика, коррупция, Ρ„ΠΈΡ€ΠΌΡ‹-ΠΎΠ΄Π½ΠΎΠ΄Π½Π΅Π²ΠΊΠΈ, взносы Π½Π° ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ΅ страхованиС), Π³ΠΎΡ€Π°Π·Π΄ΠΎ Ρ€Π΅ΠΆΠ΅ Π²ΡΡ‚Ρ€Π΅Ρ‡Π°ΡŽΡ‚ΡΡ Π½Π° рСсурсах ΠΈΠ·Π΄Π°Ρ‚Π΅Π»ΡŒΡΠΊΠΎΠ³ΠΎ Π΄ΠΎΠΌΠ° Β«ΠšΠΎΠΌΠΌΠ΅Ρ€ΡΠ°Π½Ρ‚ΡŠΒ» ΠΈ Π² «Российской Π³Π°Π·Π΅Ρ‚Π΅Β», ΡΠΎΡΡ€Π΅Π΄ΠΎΡ‚Π°Ρ‡ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… основноС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π½Π° вопросах законотворчСства ΠΈ обсуТдСния ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π΅. Анализ взаимосвязСй Π² тСкстах Π² соотвСтствии с источниками ΠΈ Π³ΠΎΠ΄ΠΎΠΌ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π», Ρ‡Ρ‚ΠΎ Ρ‚Π΅ΠΌΡ‹ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… исслСдований ΡΠ±Π»ΠΈΠΆΠ°ΡŽΡ‚ΡΡ с ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ, рассматриваСмыми Π²Π»Π°ΡΡ‚ΡŒΡŽ, Π° бизнСс-сообщСство Π² большСй стСпСни вовлСкаСтся обсуТдСниС ΠΏΡ€Π°Π²ΠΎΠ²ΠΎΠΉ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ, Ρ‚. Π΅. Ρ‚ΠΎΡ‡ΠΊΠ° зрСния власти Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΠΌ опрСдСляСт обсуТдСниС Ρ‚Π΅ΠΌΡ‹ уклонСния ΠΎΡ‚ Π½Π°Π»ΠΎΠ³ΠΎΠ² бизнСс-сообщСством, ΠΈ Π½Π°ΡƒΡ‡Π½Ρ‹ΠΌΠΈ ΠΊΡ€ΡƒΠ³Π°ΠΌΠΈ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, библиомСтричСскиС ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Π°Π½Π°Π»ΠΈΠ·Π° тСкстов ΠΌΠΎΠ³ΡƒΡ‚ ΠΏΡ€ΠΈΠΌΠ΅Π½ΡΡ‚ΡŒΡΡ для провСдСния Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… исслСдований, составлСния ΠΎΠ±Π·ΠΎΡ€ΠΎΠ² Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΈ тСматичСского поиска ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ.This article analyzes the publications relating to the problem of tax evasion. This topic is attractive not only for the academic community, but also for public at whole. The article explores to what extent the scientific publications on tax evasion correspond to practical issues discussed among the stakeholders. We used the electronic database of e-Library as a source of scientific publications on the subject. The principal stakeholders directly dependent on the taxation are the taxpayers and public authorities. We used the electronic database of publications Β«KommersantΒ» publishing house and the Β«Rossiyskaya GazetaΒ» to reflect issues discussed among the stakeholders. We selected for analyze 301 publications for the period of 2013-2015. The study was conducted by comparing the publication activity by types and period of publications. In the first stage of the study we have done the qualitative content analysis by identification the common themes discussed in hole sample of publications. Then, a quantitative analysis was conducted by comparing the distribution of publications on a particular topic from each source. We used bibliometric analysis method for the quantitative and bibliographic mapping method to visualize the results of research. Calculations were performed using the software QDA Miner v.5.0 module WordStat v.7.1.7. As a result, studies have concluded that the most popular topics of interest for which no changes are: changes in legislation, legislation and increased enforcement. Using the results of the conducted study, we can identify the main similarities and differences between the monitored sources. We can see the special attention to the: Legislation changes, Law enforcement, Entrepreneurship. Marked reduction of interest can be noted regarding to the following topics: International aspects of taxation, Shadow economy, Ownership, property, investment. The growth of interest can be noted in relation to the following topics: Directorship, Article of the Tax Code, Short-lived companies, Arrears and fines. The study revealed a certain disparity between the topics discussed among academic community and stakeholders. The topics discussed in the majority of scientific texts (shadow economy, corruption, the firm one-day, social security contributions), a much rarer can be found in the publication of Β«KommersantΒ» and Β«Rossiyskaya GazetaΒ» which focuses mainly on matters of legislation. Analysis of the relationships in the texts according to the source and year of publication showed that research topics converge with issues considered by the public authorities. The business community more involved in discussion the legal issues, because the government notion works upon the impression about tax evasion of the business community and academia. Thus, bibliometric text analysis techniques can be used for research, preparation of literature reviews and thematic information retrieval

    Antihyperlipidemic effects of Pleurotus ostreatus (oyster mushrooms) in HIV-infected individuals taking antiretroviral therapy

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    <p>Abstract</p> <p>Background</p> <p>Antiretroviral treatment (ART) regimens in HIV patients commonly cause significant lipid elevations, including increases in both triglycerides and cholesterol. Standard treatments for hypercholesterolemia include the HMG CoA reductase inhibitors, or "statins." Because many ART agents and statins share a common metabolic pathway that uses the cytochrome P450 enzyme system, coadministration of ART with statins could increase statin plasma levels significantly. The oyster mushroom, <it>Pleurotus ostreatus</it>, has been shown in animal models to decrease lipid levels - a finding that has been supported by preliminary data in a small human trial.</p> <p>Methods</p> <p>To assess the safety and efficacy of <it>P. ostreatus </it>in patients with HIV and ART-induced hyperlipidemia, a single-arm, open-label, proof-of-concept study of 8 weeks' duration with a target enrollment of 20 subjects was conducted. Study patients with ART-induced elevated non-HDL cholesterol levels (> 160 mg/dL) were enrolled. Participants received packets of freeze-dried <it>P. ostreatus </it>(15 gm/day) to be administered orally for the 8 week trial period. Lipid levels were drawn every two weeks to assess efficacy. Safety assessments included self-reported incidence of muscle aches and measurement of liver and muscle enzymes. Mean within-person change in lipid levels were estimated using generalized estimating equations to account for repeated observations on individuals. A 30 mg/dL decrease in non-HDL cholesterol was deemed clinically significant.</p> <p>Results</p> <p>126 patients were screened to enroll 25, of which 20 completed the 8-week study. The mean age was 46.4 years (36-60). Patients had a mean 13.7 yrs of HIV infection. Mean non-HDL cholesterol was 204.5 mg/dL at day 0 and 200.2 mg/dL at day 56 (mean within-person change = -1.70; 95% confidence interval (CI) = -17.4, 14.0). HDL cholesterol levels increased from 37.8 mg/dL at day 0 to 40.4 mg/dL on day 56 (mean within-person change = 2.6; 95% CI = -0.1, 5.2). Triglycerides dropped from 336.4 mg/dL on day 0 to 273.4 mg/dL on day 56 (mean within-person change = -63.0; 95% CI = -120.9, -5.1). Only 3 individuals achieved a sustained clinically significant (30 mg/dL) decline in non-HDL cholesterol after 8 weeks of therapy. There were no adverse experiences reported other than patients' distaste for the preparation. Liver function tests and muscle enzymes were not affected by the 8 weeks of treatment.</p> <p>Conclusions</p> <p><it>Pleurotus ostreatus </it>as administered in this experiment did not lower non-HDL cholesterol in HIV patients with ART-induced hypercholesterolemia. Small changes in HDL and triglycerides were not of a clinical magnitude to warrant further study.</p> <p>Trial Registration</p> <p>clinicaltrials.gov Identifier: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00069524">NCT00069524</a></p

    Uncertainty in context-aware systems: A case study for intelligent environments

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    Data used be context-aware systems is naturally incomplete and not always reflect real situations. The dynamic nature of intelligent environments leads to the need of analysing and handling uncertain information. Users can change their acting patterns within a short space of time. This paper presents a case study for a better understanding of concepts related to context awareness and the problem of dealing with inaccurate data. Through the analysis of identification of elements that results in the construction of unreliable contexts, it is aimed to identify patterns to minimize incompleteness. Thus, it will be possible to deal with flaws caused by undesired execution of applications.Programa Operacional TemΓ‘tico Factores de Competitividade (POCI-01-0145-

    INSULIN AND ANALOGS: NARRATIVE LITERATURE REVIEW

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    As insulinas e seus anΓ‘logos sΓ£o divididos em trΓͺs tipos principais: os de ação curta, distribuΓ­das nas categorias de ação curta e ultracurta ou rΓ‘pida; ação intermediΓ‘ria e ação longa. A insulina aspart e lispro possuem ação ultracurta e rΓ‘pida, a insulina glulisina sofre absorção duas vezes mais rΓ‘pida que a insulina regular e atinge um pico plasmΓ‘tico duas vezes maior. A insulina regular Γ© uma insulina zinco cristalina, de ação curta, empregada em casos emergenciais hiperglicΓͺmicos. As de ação intermediΓ‘ria sΓ£o: protamina neutra de Hagedorn (NPH) ou isΓ³fana e a lente. A insulina glargina Γ© um anΓ‘logo de insulina modificada, a qual foi desenvolvida para proporcionar uma concentração constante de insulina. A insulina detemir Γ© um anΓ‘logo solΓΊvel, com ação prolongada, caracteriza por nΓ£o possuir pico de ação. Este trabalho Γ© uma revisΓ£o narrativa, descritiva e exploratΓ³ria sobre a insulina e seus anΓ‘logos, voltados para o estudo da insulina no Diabetes mellitus (DM), pois, Γ© a melhor escolha para o tratamento do DM tipo 1.

    Explainable Predictive Maintenance

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    Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including data scientists, domain experts, end-users, and more. It aids in deciphering the intricate internal mechanisms of ``black box'' Machine Learning (ML), rendering the reasons behind their decisions more understandable. However, current research in XAI primarily focuses on two aspects; ways to facilitate user trust, or to debug and refine the ML model. The majority of it falls short of recognising the diverse types of explanations needed in broader contexts, as different users and varied application areas necessitate solutions tailored to their specific needs. One such domain is Predictive Maintenance (PdM), an exploding area of research under the Industry 4.0 \& 5.0 umbrella. This position paper highlights the gap between existing XAI methodologies and the specific requirements for explanations within industrial applications, particularly the Predictive Maintenance field. Despite explainability's crucial role, this subject remains a relatively under-explored area, making this paper a pioneering attempt to bring relevant challenges to the research community's attention. We provide an overview of predictive maintenance tasks and accentuate the need and varying purposes for corresponding explanations. We then list and describe XAI techniques commonly employed in the literature, discussing their suitability for PdM tasks. Finally, to make the ideas and claims more concrete, we demonstrate XAI applied in four specific industrial use cases: commercial vehicles, metro trains, steel plants, and wind farms, spotlighting areas requiring further research.Comment: 51 pages, 9 figure

    НалоговоС стимулированиС инвСстиций частных инвСсторов Π² ΠΎΠ±Π»ΠΈΠ³Π°Ρ†ΠΈΠΈ Π² Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ

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    Π‘Ρ‚Π°Ρ‚ΡŒΡ посвящСна Π°Π½Π°Π»ΠΈΠ·Ρƒ особСнностСй Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ³ΠΎ стимулирования инвСстиций частных инвСсторов Π² ΠΎΠ±Π»ΠΈΠ³Π°Ρ†ΠΈΠΈ Π² Π Π€. ΠΠ΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ³ΠΎ стимулирования приобрСтСния ΠΎΠ±Π»ΠΈΠ³Π°Ρ†ΠΈΠΉ частными инвСсторами ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π° ΠΊΠ°ΠΊ составная Ρ‡Π°ΡΡ‚ΡŒ стратСгии Π±ΠΎΠ½Π΄ΠΈΠ·Π°Ρ†ΠΈΠΈ, заявлСнной Π‘Π°Π½ΠΊΠΎΠΌ России. ЦСлью настоящСй ΡΡ‚Π°Ρ‚ΡŒΠΈ являСтся Π°Π½Π°Π»ΠΈΠ· спСцифики примСнСния инвСстиционных Π½Π°Π»ΠΎΠ³ΠΎΠ²Ρ‹Ρ… Π»ΡŒΠ³ΠΎΡ‚ Π² Π Π€, выявлСниС спорных ΠΈ Ρ‚Ρ€Π΅Π±ΡƒΡŽΡ‰ΠΈΡ… ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ вопросов. ΠžΡ‚ΠΌΠ΅Ρ‡Π΅Π½Ρ‹ ΡˆΠΈΡ€ΠΎΠΊΠΎΠ΅ освСщСниС Ρ‚Π΅ΠΌΡ‹ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ³ΠΎ стимулирования инвСстиций Π² иностранной пСриодичСской Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π΅ ΠΈ практичСски ΠΏΠΎΠ»Π½ΠΎΠ΅ ΠΈΠ³Π½ΠΎΡ€ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π°Π½Π½ΠΎΠΉ Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ отСчСствСнными Π°Π²Ρ‚ΠΎΡ€Π°ΠΌΠΈ. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΏΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Π½Π°Π»ΠΎΠ³ΠΎΠ²Ρ‹Π΅ Π½ΠΎΠ²Π°Ρ†ΠΈΠΈ Π² области инвСстиций российских частных инвСсторов: Π»ΡŒΠ³ΠΎΡ‚Π° ΠΏΠΎ ΠΊΡƒΠΏΠΎΠ½Π½ΠΎΠΌΡƒ Π΄ΠΎΡ…ΠΎΠ΄Ρƒ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΎΠ±Π»ΠΈΠ³Π°Ρ†ΠΈΠΉ, инвСстиционныС Π½Π°Π»ΠΎΠ³ΠΎΠ²Ρ‹Π΅ Π²Ρ‹Ρ‡Π΅Ρ‚Ρ‹ (ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½Ρ‹Π΅ инвСстиционныС счСта ΠΈ Π»ΡŒΠ³ΠΎΡ‚Π° ΠΏΠΎ долгосрочному владСнию Ρ†Π΅Π½Π½Ρ‹ΠΌΠΈ Π±ΡƒΠΌΠ°Π³Π°ΠΌΠΈ), Π»ΡŒΠ³ΠΎΡ‚Π° ΠΏΠΎ долгосрочному владСнию Ρ†Π΅Π½Π½Ρ‹ΠΌΠΈ Π±ΡƒΠΌΠ°Π³Π°ΠΌΠΈ высокотСхнологичного (ΠΈΠ½Π½ΠΎΠ²Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ) сСктора экономики. ΠžΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Ρ‹ возмоТности совмСщСния Π²Ρ‹ΡˆΠ΅Π½Π°Π·Π²Π°Π½Π½Ρ‹Ρ… Π»ΡŒΠ³ΠΎΡ‚. ΠžΡ‚ΠΌΠ΅Ρ‡Π΅Π½ нСдостаток количСствСнных Π΄Π°Π½Π½Ρ‹Ρ… для ΠΎΡ†Π΅Π½ΠΊΠΈ эффСктивности Π½Π°Π»ΠΎΠ³ΠΎΠ²Ρ‹Ρ… Π»ΡŒΠ³ΠΎΡ‚ для частных инвСсторов вслСдствиС ΠΊΠΎΡ€ΠΎΡ‚ΠΊΠΎΠ³ΠΎ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° ΠΈΡ… дСйствия. Авторы ΠΏΡ€ΠΈΡˆΠ»ΠΈ ΠΊ Π²Ρ‹Π²ΠΎΠ΄Ρƒ ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ отсутствия Π΅Π΄ΠΈΠ½ΠΎΠΉ систСмы прСдоставлСния Π»ΡŒΠ³ΠΎΡ‚ частным инвСсторам ΠΈ Π±ΠΎΠ»Π΅Π΅ ΡˆΠΈΡ€ΠΎΠΊΠΎΠΌ Π»ΡŒΠ³ΠΎΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΎΠ±Π»ΠΈΠ³Π°Ρ†ΠΈΠΉ Π² сравнСнии с ΠΏΡ€ΠΎΡ‡ΠΈΠΌΠΈ инструмСнтами. ΠšΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½Ρ‹ΠΌ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌΠΈ Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΌΠΎΠΆΠ½ΠΎ ΡΡ‡ΠΈΡ‚Π°Ρ‚ΡŒ ΠΊΠΎΠ½ΡΡ‚Π°Ρ‚Π°Ρ†ΠΈΡŽ нСобходимости внСсСний ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² НК Π Π€ с Ρ†Π΅Π»ΡŒΡŽ выравнивания налогооблоТСния ΠΏΠΎ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄Π½Ρ‹ΠΌ инструмСнтам, созданным Π½Π° основС ΠΎΠ±Π»ΠΈΠ³Π°Ρ†ΠΈΠΉ, паям ΠΏΠ°Π΅Π²Ρ‹Ρ… инвСстиционных Ρ„ΠΎΠ½Π΄ΠΎΠ² ΠΈ ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²ΠΊΠΈ ряда тСхничСских ΠΌΠΎΠΌΠ΅Π½Ρ‚ΠΎΠ² примСнСния Π»ΡŒΠ³ΠΎΡ‚, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΎΡ†Π΅Π½ΠΊΡƒ эффСктивности описанных Π»ΡŒΠ³ΠΎΡ‚.The paper addresses the specificities of tax incentives in the form of tax reliefs designated for individual investors, who invest in bonds in the Russian Federation. The need for the use of tax incentives to encourage individual investors to purchase bonds is regarded as an integral aspect of the bondization, announced by the Bank of Russia. The objective of this paper is to analyze the specific features of the investment tax relief implementation in the Russian Federation and to reveal issues that remain controversial and require particularization. It was found that stimulation of investment through tax is widely studied by foreign scientists; however, it is almost completely disregarded in Russia. The following tax innovations related to investments of individual Russian investors were analyzed: tax relief for coupon income, derived from corporate bonds; investment tax deductions (individual investment account and long-term capital gains exemption); long-term capital gains exemption for securities of the high-tech (innovation) sector of economy. Reconciliation schemes for the above-mentioned reliefs were identified. Insufficiency of quantitative data for the effectiveness evaluation of tax relief for individual investors was revealed, which was explained by the short validity period of this relief. The authors proved the absence of a uniform system tax relief instruments for individual investors and found that bond holders have more tax relief options, compared to share holders of other investment instruments. In this context, it was proposed to make amendments to the Tax Code of the Russian Federation in order to ensure tax equalization with relation to derivative instruments, designed on the basis of bonds, mutual fund units). In addition, it was recommended to adjust a number of technical aspects, connected with tax relief application and to evaluate the effectiveness of the reliefs under study
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