Results 51 to 60 of about 117 (116)
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2022
The theme of the final qualifying work: Analysis of the impact of covid-19 on china's stock market volatility. The relevance of this work lies in the fact that the Chinese stock market will experience significant volatility during the period of the new corona virus.
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The theme of the final qualifying work: Analysis of the impact of covid-19 on china's stock market volatility. The relevance of this work lies in the fact that the Chinese stock market will experience significant volatility during the period of the new corona virus.
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Ðнализ ÑÑнка ÑлекÑÑонной ÑоÑговли СанкÑ-ÐеÑеÑбÑÑга
2022Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «Ðнализ ÑÑнка ÑлекÑÑонной ÑоÑговли по СÐб». ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑазÑабоÑке ÑоÑговÑÑ Ð¸ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑеÑÐºÐ¸Ñ Ð¿ÑоÑеÑÑов пÑедпÑиÑÑÐ¸Ñ Ð¸Ð½ÑеÑнеÑ-ÑоÑговли Ñ Ñ ...
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2020
ЦелÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ ÑовеÑÑенÑÑвование ÑкладÑкой логиÑÑики ÐÐР«ÐÐÐТÐÐСÐÐÐ ÐÐÐ¥ÐÐÐЧÐСÐÐÐ ÐÐÐÐл.ÐадаÑи иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑаÑÑмоÑÑеÑÑ Ð¼ÐµÑопÑиÑÑÐ¸Ñ ÑÑебÑÑÑие ÑовеÑÑенÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ ÑкладÑкого Ñ
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ЦелÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ ÑовеÑÑенÑÑвование ÑкладÑкой логиÑÑики ÐÐР«ÐÐÐТÐÐСÐÐÐ ÐÐÐ¥ÐÐÐЧÐСÐÐÐ ÐÐÐÐл.ÐадаÑи иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑаÑÑмоÑÑеÑÑ Ð¼ÐµÑопÑиÑÑÐ¸Ñ ÑÑебÑÑÑие ÑовеÑÑенÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ ÑкладÑкого Ñ
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СовеÑÑенÑÑвование закÑпоÑной логиÑÑики в компании
2021Тема ÐÐРбакалавÑа: «СовеÑÑенÑÑвование закÑпоÑной деÑÑелÑноÑÑи в компании». Ð¦ÐµÐ»Ñ ÑабоÑÑ - ÑазÑабоÑка пÑакÑиÑеÑÐºÐ¸Ñ Ð¼ÐµÑ Ð¿Ð¾ ÑовеÑÑенÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ Ð·Ð°ÐºÑпоÑной деÑÑелÑноÑÑи в компании.
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2021
Рданной ÑабоÑе пÑедÑÑавлена ÑазÑабоÑка комплекÑногогидÑоÑзла в ÑÑловиÑÑ Ðападной ÐÑÑики, в ÑеÑпÑблике Ðали. РаÑÑмоÑÑен ваÑÐ¸Ð°Ð½Ñ ÐºÐ¾Ð¼Ð¿Ð¾Ð½Ð¾Ð²ÐºÐ¸ гидÑоÑзла, вклÑÑаÑÑего в ÑÐµÐ±Ñ Ð³ÑÑнÑовÑÑ Ð¿Ð»Ð¾ÑинÑ, а Ñ
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Рданной ÑабоÑе пÑедÑÑавлена ÑазÑабоÑка комплекÑногогидÑоÑзла в ÑÑловиÑÑ Ðападной ÐÑÑики, в ÑеÑпÑблике Ðали. РаÑÑмоÑÑен ваÑÐ¸Ð°Ð½Ñ ÐºÐ¾Ð¼Ð¿Ð¾Ð½Ð¾Ð²ÐºÐ¸ гидÑоÑзла, вклÑÑаÑÑего в ÑÐµÐ±Ñ Ð³ÑÑнÑовÑÑ Ð¿Ð»Ð¾ÑинÑ, а Ñ
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2019
Background: Factor VIII intron 22 inversions cause 40%-50% of severe cases of hemophilia A in all human populations. This work describes a method using inverse-PCR. Methods: I-PCR involved 3 steps: Ksp22I restriction; self-ligation of restriction fragments, providing Ksp22I rings; and standard multiplex-PCR analysis.
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Background: Factor VIII intron 22 inversions cause 40%-50% of severe cases of hemophilia A in all human populations. This work describes a method using inverse-PCR. Methods: I-PCR involved 3 steps: Ksp22I restriction; self-ligation of restriction fragments, providing Ksp22I rings; and standard multiplex-PCR analysis.
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ÐиагноÑÑика маÑин и обоÑÑдованиÑ
2010ÐодгоÑовлено на оÑнове кÑÑÑа лекÑий, ÑиÑаемÑÑ Ð°Ð²ÑоÑом поÑÐ¾Ð±Ð¸Ñ Ð½Ð° пÑоÑÑжении неÑколÑÐºÐ¸Ñ Ð»ÐµÑ ÑÑÑденÑам Ð¼ÐµÑ Ð°Ð½Ð¸ÑеÑÐºÐ¸Ñ ÑпеÑиалÑноÑÑей вÑзов. Ð ÑодеÑжание воÑли обÑие вопÑоÑÑ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑики и неÑазÑÑÑ ...
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Ðнализ ÑÑнка газобаллоннÑÑ Ð°Ð²Ñомобилей
2016In work problems and prospects of market development of gas motor fuel in Russia are considered. The analysis of a current state of development of a network of the CNG filling station (automobile gas-filling compressor stations) is carried out, activities of JSC Gazprom in the field of development of networks of the gas engine market in Russia are ...
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2023
This paper explores the application of machine learning methods for time series forecasting. The options for using ARIMA models, neural networks and the gradient boosting algorithm are considered. As training samples, stock prices were used, as well as data obtained as a result of applying technical indicators.
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This paper explores the application of machine learning methods for time series forecasting. The options for using ARIMA models, neural networks and the gradient boosting algorithm are considered. As training samples, stock prices were used, as well as data obtained as a result of applying technical indicators.
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2023
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´ÐµÑекÑов вÑÑоковолÑÑнÑÑ Ð²Ð²Ð¾Ð´Ð¾Ð², ÑкÑплÑаÑиÑÑемÑÑ Ð½Ð° пÑедпÑиÑÑиÑÑ , и меÑодов вÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´ÐµÑекÑов, а Ñакже ÑазÑабоÑке ÑекомендаÑий по повÑÑÐµÐ½Ð¸Ñ Ð½Ð°Ð´ÐµÐ ...
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´ÐµÑекÑов вÑÑоковолÑÑнÑÑ Ð²Ð²Ð¾Ð´Ð¾Ð², ÑкÑплÑаÑиÑÑемÑÑ Ð½Ð° пÑедпÑиÑÑиÑÑ , и меÑодов вÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´ÐµÑекÑов, а Ñакже ÑазÑабоÑке ÑекомендаÑий по повÑÑÐµÐ½Ð¸Ñ Ð½Ð°Ð´ÐµÐ ...
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