<|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:"Alternative scenarios of the demographic development of rural Russia: analysis and forecast."
Abstract:"The purpose of the study is to discuss the alternative scenarios of the demographic development of rural Russia. The Covid-19 coronavirus pandemic has changed the demographic situation in Russia: mortality and natural population decline increased, while the birth rate decreased. Based on the cohort-component method, we projected the rural population size and age structure for the period 2024-2049. Six alternative scenarios were developed: three with zero migration (without taking into account the impact of migration changes on the rural population) and three with migration. Therefore, the migration outflow coefficient was included in the three forecasting scenarios. However, the inflow of some urban population to the countryside is not ruled out. The results show that the population of rural Russia will decrease from 37.3 million (2019) to 29.6-33.1 million people (2049). The age structure of the population will change, the demographic aging of rural areas will continue.."
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 = [2];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1].
Alternative scenarios of the demographic development of rural Russia: analysis and forecast
The purpose of the study is to discuss the alternative scenarios of the demographic development of rural Russia. The Covid-19 coronavirus pandemic has changed the demographic situation in Russia: mortality and natural population decline increased, while the birth rate decreased. Based on the cohort-component method, we projected the rural population size and age structure for the period 2024-2049. Six alternative scenarios were developed: three with zero migration (without taking into account the impact of migration changes on the rural population) and three with migration. Therefore, the migration outflow coefficient was included in the three forecasting scenarios. However, the inflow of some urban population to the countryside is not ruled out. The results show that the population of rural Russia will decrease from 37.3 million (2019) to 29.6-33.1 million people (2049). The age structure of the population will change, the demographic aging of rural areas will continue.