- Scientists must process this data and pass it on to the relevant political decision-making authorities.
- Vetenskapsmännen skall behandla uppgifterna och lägga fram dem för behöriga politiska myndigheter, vilka har ansvaret att fatta beslut.
- The relevant authority should draw up a permanent register of generic medicines destined for developing countries to ensure the effectiveness of such controls.
- För att garantera dessa kontroller måste den behöriga myndigheten upprätta ett permanent register över generiska läkemedel avsedda för utvecklingsländerna.
- The present proposal for a regulation specifies simply that, in cases of conflict, the Commission must consult the relevant authorities in the country concerned.
- Föreliggande förslag till förordning anger bara att kommissionen vid konflikt skall rådfråga behöriga myndigheter i det aktuella landet.
- Amendment No 4 specifies the obligation upon scientists to process all the data and pass it on to the relevant authorities, including national and regional authorities, in order to contribute to the decision-making process.
- Ändringsförslag 4 klargör vetenskapsmännens skyldighet att behandla och lägga fram uppgifterna för de behöriga myndigheterna, inbegripet nationella och regionala myndigheter, på ett sätt som hjälper dem att fatta beslut.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 35048 AND
t12.lemma_id = 14429 AND
t21.lemma_id = 54674 AND
t22.lemma_id = 48054),
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;
;