- Mrs Roth-Behrendt’s report wants to authorize alternative methods only.
- Roth-Behrendts betänkande förordar att man tillåter enbart alternativa metoder.
- One priority that has been identified is an alternative method of conflict resolution.
- En prioritering som har fastställts är en alternativ metod för tvistlösning.
- It is generally accepted that few alternative methods will be found within 10 years but that the total replacement of animal experiments might be possible within about 15 years.
- Det är en allmän uppfattning att det kommer att finnas få alternativa metoder inom den närmaste tioårsperioden och att det kan bli möjligt att helt ersätta djurförsöken först om cirka 15 år.
- First and foremost this directive sends a clear political signal that we want our scientists to look for alternative methods of verifying research into new medicines, in order to minimise the number of animals and the number of tests, while naturally complying with all of the possible ethical principles so as to avoid the suffering of animals.
- Först och främst sänder detta direktiv en tydligt politisk signal om att vi vill att våra forskare tar fram alternativa metoder för att verifiera forskningen om nya läkemedel, så att antalet djur och antalet tester kan minskas samtidigt som man naturligtvis följer alla tänkbara etiska principer för att undvika djurens lidande.
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
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t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 63171 AND
t12.lemma_id = 30034 AND
t21.lemma_id = 10364 AND
t22.lemma_id = 11474),
stats AS (SELECT
sentence_id,
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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
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FROM
numbered
JOIN token ON token_id = t21
) x
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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
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JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;