<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Emotions, perceived threat, prejudice, and attitudes towards helping Ukrainian, Syrian, and Somali asylum seekers."
Abstract:"Europe receives thousands of asylum seekers. This study examined whether European participants distinguish between European, Middle Eastern, and African asylum seekers in relation to positive and negative emotions, perceived threat, prejudice, and attitudes towards helping. The study also examined how these variables interrelate to influence each other. 287 participants were recruited from the UK and Malta. The study found that higher positive emotions and attitudes towards helping, and lower negative emotions, classical prejudice, and conditional prejudice were reported in relation to Ukrainian than Syrian or Somali asylum seekers. A mediation analysis was conducted to examine the interrelationship of these variables. Emotions and perceived threat had an indirect effect on attitudes towards helping, via prejudice. The effect of perceived threat was stronger than that of emotions. The study suggests that to improve people's openness towards helping asylum seekers, it is necessary to reduce the perception that asylum seekers are threatening.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Emotions, perceived threat, prejudice, and attitudes towards helping Ukrainian, Syrian, and Somali asylum seekers
Europe receives thousands of asylum seekers. This study examined whether European participants distinguish between European, Middle Eastern, and African asylum seekers in relation to positive and negative emotions, perceived threat, prejudice, and attitudes towards helping. The study also examined how these variables interrelate to influence each other. 287 participants were recruited from the UK and Malta. The study found that higher positive emotions and attitudes towards helping, and lower negative emotions, classical prejudice, and conditional prejudice were reported in relation to Ukrainian than Syrian or Somali asylum seekers. A mediation analysis was conducted to examine the interrelationship of these variables. Emotions and perceived threat had an indirect effect on attitudes towards helping, via prejudice. The effect of perceived threat was stronger than that of emotions. The study suggests that to improve people's openness towards helping asylum seekers, it is necessary to reduce the perception that asylum seekers are threatening.