Detection of Truthful, Semi-Truthful, False and Other News with Arbitrary Topics Using BERT-Based Models

Easy and uncontrolled access to the Internet provokes the wide propagation of false information, which freely circulates in the Internet. Researchers usually solve the problem of fake news detection (FND) in the framework of a known topic and binary classification. In this paper we study possibilities of BERT-based models to detect fake news in news flow with unknown topics and four categories: true, semi-true, false and other. The object of consideration is the dataset CheckThat! Lab proposed for the conference CLEF-2022. The subjects of consideration are the models SBERT, RoBERTa, and mBERT. To improve the quality of classification we use two methods: the addition of a known dataset (LIAR), and the combination of several classes (true + semi-true, false + semi-true). The results outperform the existing achievements, although the state-of-the-art in the FND area is still far from practical applications

GMDH-based Models for Mid-term Forecast of Cryptocurrencies (on example of Waves)

Cryptocurrencies became one of the main trends in modern economy. However by the moment the forecast of cryptocurrencies values is an open problem, which is almost non-reflected in publications related to finance market. Reasons consist in its novelty, large volatility and its strong dependence on subjective factors. In this experimental research we show possibilities of GMDH-technology to give weekly and monthly forecast for values of cryptocurrency \u27Waves\u27 (waves/euro rate). The source information is week data covering the period 2017-2019. We tests 4 algorithms from the GMDH Shell platform on the whole period and on the crisis period 4-th quarter 2017 - 2nd quarter 2018. Baseline is provided by the popular statistical method of double exponential smoothing. The results of Pilot study can be considered as the very promising ones having in view the large variability of data

Start of Epidemy in a City: Short-Term Forecast of Covid-19 with GMDH-Based Algorithms and Official Medical Statistics

The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow during the period March 30-April 12, 2020. The forecast horizon is from 1 to 7 days, the initial information is only the official dynamics of diseased patients. Our model is autoregression with variables of different powers. The results of forecast are compared with the accuracy of popular statistical autoregression using exponential smoothing with trend. We suppose that the proposed approach will be useful for short-term forecast at the start of epidemic due to its simplicity and reliability

ПОЛУЧЕНИЕ ЭПИТЕЛИАЛЬНЫХ КЛЕТОК ИЗ БИОПТАТОВ ЖЕЛУДКА ЧЕЛОВЕКА

The primary cultures of epithelial cells used in our work were obtained from fresh samples of human biopsy material. A number of techniques including enzymatic solutions in different ratios were tested. By the method of flow cytometry the obtained cell cultures were evaluated by survival, proliferation, phenotypic composition and apoptosis.Первичные культуры эпителиальных клеток, использованные в нашей работе, получены из свежих образцов биопсийного материала человека. Протестирован ряд методик, включающих в разном соотношении ферментативные растворы. Методом проточной цитометрии полученные культуры клеток оценивали по выживаемости, пролиферации, фенотипического состава и апоптоза

Primary hyperparathyroidism with PTH values within the reference range: clinical case of a patient with recurrent nephrolithiasis

Hyperparathyroidism is an endocrine disease characterized by excessive secretion of parathyroid hormone (PTH) by the parathyroid glands. Primary hyperparathyroidism (PHPT) can be diagnosed biochemically with the combination of hypercalcemia and upper-normal or elevated levels of PTH. There are few descriptions of PHPT with normal intact PTH secretion in the literature. The incidence of PHPT among patients with recurrent urolithiasis is 2–8%. We present a clinical case of diagnosing PHPT in a 64-year-old female patient with rare variant of the disease. Before establishing the diagnosis, the main patient complaints were long-term recurrent nephrolithiasis and nephrocalcinosis. Surgical treatment made it possible to achieve rapid normalization of biochemical parameters of calcium-phosphorus metabolism, increase bone mineral density in the lumbar spine, improve the general condition of the patient. This clinical case demonstrates errors and late diagnosis of PHPT associated with poor knowledge of the manifestations of hyperparathyroidism and its masks. The authors recommend to determine the concentrations of total calcium, albumin, serum levels of PTH in patients with clinical picture of PHPT, in order to exclude the disease

Charge density studies of multicentre two-electron bonding of an anion radical at non-ambient temperature and pressure

The variation of charge density of two-electron multicentre bonding (pancake bonding) between semi­quinone radicals with pressure and temperature was studied on a salt of 5, 6-di­chloro-2, 3-di­cyano­semi­quinone radical anion (DDQ) with 4-cyano-N-methyl­pyridinium cation (4-CN) using the Transferable Aspheric Atom Model (TAAM) refinement. The pancake-bonded radical dimers are stacked by non-bonding π-interactions. With rising pressure, the covalent character of interactions between radicals increases, and above 2.55 GPa, the electron density indicates multicentric covalent interactions throughout the stack. The experimental charge densities were verified and corroborated by periodic DFT computations. The TAAM approach has been tested and validated for atomic resolution data measured at ambient pressure ; this work shows this approach can also be applied to diffraction data obtained at pressures up to several gigapascals

Start of Epidemy in a City: Short-Term Forecast of Covid-19 with GMDH-Based Algorithms and Official Medical Statistics

The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow during the period March 30-April 12, 2020. The forecast horizon is from 1 to 7 days, the initial information is only the official dynamics of diseased patients. Our model is autoregression with variables of different powers. The results of forecast are compared with the accuracy of popular statistical autoregression using exponential smoothing with trend. We suppose that the proposed approach will be useful for short-term forecast at the start of epidemic due to its simplicity and reliability

Value added tax in accounting

This diploma thesis focuses on the issue of value added tax and its representation in the accounting. The aim of this thesis is to describe and explain the nature of the VAT mechanism. The first part of the thesis is focused on historical development and legal regulation of the value added tax. The next part of the thesis explains general principles of tax, differences between subjects from the perspective of value added tax law as a VAT payer and from the perspective of accounting act as an entity and represents the main principles of VAT accounting. The last chapter delimit term of tax dodge, its forms and presents the tools for fighting against to the tax dodge.Tato diplomová práce se zabývá problematikou daně z přidané hodnoty a její vykazováním v účetnictví. Cílem práce je popsat a vysvětlit podstatu fungování mechanismu DPH. První část práce je zaměřena na historický vývoj a právní úpravu daně z přidané hodnoty. Další část práce vysvětluje obecné principy daně, rozdíly mezi subjekty z pohledu Zákona o dani z přidané hodnoty jako plátce DPH a z pohledu Zákona o účetnictví jako účetní jednotka a rovněž představuje základní principy účtování o DPH. Poslední kapitola vymezuje pojem „daňový únik“, jeho formy a uvádí nástroje k boji proti daňovým únikům

Financial Benchmarking

Bakalářská práce se zabývá finančním benchmarkingem podniku RYOR a.s. Cílem je prozkoumat finanční situaci společnosti, porovnat s odvětvím a nejlepšími podniky v odvětví, do kterého se firma řadí. První část práce je zaměřena na definování Benchmarkingového diagnostického systému finančních indikátorů INFA. Druhá část, která je praktická, obsahuje detailní informaci o podniku a použití finančního benchmarkingu pro firmu RYOR a.s. Závěrečná část se věnuje finančnímu stavu společnosti, shrnutí jejích silných a slabých stránek a obsahuje vlastní autorský koncept řešení problémů tohoto analyzovaného podniku.This work focuses on financial benchmarking of RYOR a.s. enterprise. The aim of this paper is to examine the firm's financial situation, to compare with sector and with the best enterprises in which it operates. The first part of this work focuses on definition of the benchmarking diagnostic system of financial indicators INFA. The second practical part deals with full information about company and the use of financial benchmarking for RYOR a.s.. In the final analysis there is a financial situation and the summary of the enterprise's strengths and weaknesses, including the author's solution to the mentioned problems of the analyzed enterprise