- As the rapporteur states, tax regimes and the lack of a single regulatory market act as a deterrent, with many Member States imposing tax penalties on investors who invest in a foreign domiciled hedge fund.
- Som föredraganden förklarar har skattesystemen och avsaknaden av en gemensamt reglerad marknad en avskräckande inverkan och många medlemsstater tillämpar skattemässiga sanktioner på personer som investerar i utlandsbaserade hedgefonder.
- If we refer to the work of a world-renowned expert, Professor Bernard Lugan, we can see just how wrong we were to neglect a vital reality, i.e. that our political regime, parliamentary democracy, may have considerable merits but it is a very serious error to try and impose it artificially on African situations and, generally speaking, on to peoples who are different in terms of culture or civilisation.
- Om man går tillbaka till en internationellt erkänd experts arbeten, t.ex. professor Bernard Lugans arbeten, inser man att vi misstog oss i att nonchalera detta viktiga faktum, nämligen att vårt politiska styrelseskick, den parlamentariska demokratin, visst har betydande förtjänster, men att det är ett mycket allvarligt misstag att på ett artificiellt sätt vilja tillämpa den på afrikanska förhållanden, och mer generellt sett på förhållandena för befolkningarna, som skiljer sig mycket från vår kultur och civilisation.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 58833 AND
t12.lemma_id = 11075 AND
t21.lemma_id = 32869 AND
t22.lemma_id = 40192),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;