ABOUT LEGALIZATION OF EXHAUST (MAINING) CRYPTOCURRENCY BY THE TYPE OF ECONOMIC ACTIVITY
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Bibliographic record
Abstract
In Ukraine, the cryptocurrency is viewed as a monetary surrogate. In many countries of the world, operations with cryptocurrency are more or less permitted. You can name countries such as Australia, Austria, Bulgaria, Brazil, Israel, Canada, China, Norway, Singapore, USA, Thailand, Germany, Croatia, Switzerland, Japan and others. On the basis of objective analysis and the study of examples from foreign experience, the legal regime of operations with the cryptocurrency is proposed to equalize with the legal regime of operations with foreign currency; legalize the mining of the cryptocurrency as a type of economic activity, introduce its licensing and taxation of income from it. Citizens of Ukraine are not forbidden to keep savings in foreign currency and exchange foreign currency for hryvnia and other foreign currency. Ukrainians can not receive wages or any remuneration in foreign currency on the territory of Ukraine, but they can earn or win foreign currency on the Internet. The same regime should receive cryptocurrency. And operations on mining of cryptocurrency should be licensed as highly profitable and requiring a special knowledge and skills type of economic activity. Applying income tax to miners is offered on general terms. Three ways of determining the amount of taxes are proposed: 1) granting access to representatives of the fiscal body to the computer program and purses of the cryptocurrency; 2) through the calculation by the representatives of the fiscal body of the average monthly volume of production of units of crypto currency for a certain equipment and, accordingly, in proportion to it, the amount of tax; 3) in proportion to the amount of electricity spent. The last two look the most real. In the case of taxation of operations on «mining» of cryptocurrencies, the state through the amount of electricity consumed can identify and control miners. It is concluded that the legalization of the state of the budget. REFERENCES Derevianko B.V. 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Pershi naukovi chytannia pamiati S.I. Yuriia: zbirnyk nauk. prats. Za red. d.e.n., prof. O.P. Kyrylenko (26.11.2015. m. Ternopil). Ternopil: TNEU, 2015. S. 42—47 [in Ukrainian]. Yatskiv N.H., Yatskiv S.V. Perspektyvy vykorystannia tekhnolohii blokchein u merezhi internet rechei. Naukovyi visnyk NLTU Ukrainy. 2016. Vypusk 26.8: 381—387 [in Ukrainian]. Pro Natsionalnyi bank Ukrainy: Zakon Ukrainy vid 20.05.1996 No. 679-XIV. Vidomosti Verkhovnoi Rady Ukrainy. 1999. No. 29. St. 238 [in Ukrainian]. Pro platizhni systemy ta perekaz koshtiv v Ukraini: Zakon Ukrainy vid 05.04..2001 № 2346-III. Vidomosti Verkhovnoi Rady Ukrainy. 2001. No. 29. St. 137 [in Ukrainian]. Roziasnennia shchodo pravomirnosti vykorystannia v Ukraini “virtualnoi valiuty/kryptovaliuty” Bitcoin: Roziasnennia Natsionalnoho banku Ukrainy vid 10.11.2014. Ofitsiinyi sait Natsionalnoho banku Ukrainy. URL: https://www.bank.gov.ua/control/uk/publish/article?art_id=11879608 [in Ukrainian]. 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Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it