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  2. TAGUP - Wikipedia

    en.wikipedia.org/wiki/TAGUP

    Expenditure Information Network (EIN) Goods and Services Tax (GST) Report. TAGUP submitted its report in early February 2011 and had the following key recommendations. Setting up National Information Utilities (NIUs) as private companies with public purpose. Having a dedicated Mission Leader with a Mission Execution Team.

  3. Taxation in Italy - Wikipedia

    en.wikipedia.org/wiki/Taxation_in_Italy

    For INPS, the tax level is 9.19 percent of income up to an income ceiling of €46,630. For higher income tax level is set at 10.19 percent of income. For Fondo Mario Negri – complementary pension fund tax level is 1 percent on a national annual income, and tax ceiling is €59,224.54 and maximally €129.12 yearly as training charges.

  4. The Gentlemen (2024 TV series) - Wikipedia

    en.wikipedia.org/wiki/The_Gentlemen_(2024_TV_series)

    Eddie assembles a consortium involving Tibsy, the other 12 lords, and Collins. Susie isn't interested in joining with Collins' presence, but encouragement from Lady Sabrina and Eddie convinces her. After all bids are submitted, Eddie sabotages his rivals by arranging for Johnston's arrest over tax affairs and the murders of Sticky Pete and Mercy.

  5. Tax evasion - Wikipedia

    en.wikipedia.org/wiki/Tax_evasion

    Tax Justice Network (TJN) Tax Policy Center (US) Religious. Church tax; ... Global Forum on Transparency and Exchange of Information for Tax Purposes; History of tax ...

  6. Taxation in France - Wikipedia

    en.wikipedia.org/wiki/Taxation_in_France

    For tax years 2013 & 2014 earnings above 1 million euros will be subject to a tax payable by the payer/employer. The tax is similar to the employer social security contributions which above 1 million euros amount to 0.22% of gross salary compared to 44% for salaries of 150,000 euros.

  7. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    : neural network parameters. In words, it is a neural network that maps an input into an output , with the hidden vector playing the role of "memory", a partial record of all previous input-output pairs. At each step, it transforms input to an output, and modifies its "memory" to help it to better perform future processing.

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