- It was therefore a matter of urgency that the Commission should propose a draft directive seeking to draw up new quality and safety standards in order to increase public confidence in the use of such tissues and cells in and on the human body.
- Det var därför brådskande för Europeiska kommissionen att lämna ett förslag till direktiv, som syftar till att utarbeta nya kvalitets- och säkerhetsnormer för att öka befolkningens förtroende för användning av dessa vävnader och celler avsedda att användas i och på den mänskliga kroppen.
- Only credible reforms will bring the Commission and the Union as a whole closer to the public and increase the confidence of our citizens in the Union and its institutions.
- Det är bara trovärdiga reformer som kan föra kommissionen och hela unionen närmare medborgarna samt öka allmänhetens förtroende för unionen och dess institutioner.
- The opening of the borders under Schengen on the one hand strengthens a sense of belonging to a single community on the part of new EU citizens, and on the other hand can increase the confidence of the old Member States in the new ones.
- Att öppna gränserna enligt Schengen förstärker känslan av att tillhöra en gemenskap hos EU:s nya medborgare, och kan dessutom öka de gamla medlemsstaternas förtroende för de nya medlemsstaterna.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 4036 AND
t12.lemma_id = 33784 AND
t21.lemma_id = 256 AND
t22.lemma_id = 51495),
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;
;