Làm thử Đề thi thử tốt nghiệp THPT · Tiếng Anh · Đề 073

Question 14. Arrange the following sentences to make a meaningful paragraph about urban green spaces.
a. They provide residents with places for recreation, relaxation, and social interaction.
b. In conclusion, investing in parks is crucial for creating healthier and more liveable cities.
c. Urban green spaces, such as parks and gardens, play a vital role in city life.
d. Furthermore, they help improve air quality and reduce the urban heat island effect.
e. The more green areas a city has, the better the mental and physical well-being of its citizens tends to be.

Question 17. Arrange the following sentences to make a meaningful paragraph about a multicultural festival.
a. The highlight for many was the food court, which offered dishes from dozens of different countries.
b. Last weekend, our city hosted its annual multicultural festival, celebrating the diversity of our community.
c. In the evening, the main stage came alive with music and dance performances from around the globe.
d. Throughout the day, visitors could browse stalls selling traditional crafts and clothing.
e. It was a wonderful event that brought people from all backgrounds together.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

The shift towards e-motorbikes is driven by several compelling factors. Environmentally, they produce zero tailpipe emissions, contributing to cleaner air in densely populated urban centers. Economically, they are cheaper to run; the cost of charging a battery is significantly lower than filling a tank with petrol. Furthermore, many models are becoming increasingly affordable, aided by government incentives aimed at promoting green transportation. Users also appreciate the reduced noise pollution, which creates a more pleasant urban atmosphere.

However, the widespread adoption of e-motorbikes is not without its challenges. The battery is a major concern. The current generation of batteries has a limited lifespan and range, and their disposal poses an environmental threat if not managed properly. Another significant hurdle is the lack of a comprehensive public charging infrastructure, which can cause 'range anxiety' for riders on longer journeys. Moreover, the silent nature of e-motorbikes, while an advantage in reducing noise, can also be a safety hazard, as pedestrians and other drivers may not hear them approaching.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.

Citizen science, the practice of public participation and collaboration in scientific research, is transforming the way we understand the world. At its core, it involves non-scientists volunteering to collect and/or analyse data as part of a larger research project. This can range from counting birds in a local park and classifying galaxies from telescopic images to monitoring water quality in a nearby river. By engaging a vast network of volunteers, scientists can gather data on a scale and at a frequency that would be impossible for research teams alone.

This approach yields enormous benefits for the scientific community. Large-scale data collection allows for the identification of broad environmental patterns and long-term trends, such as the effects of climate change on species migration. [I] Furthermore, citizen-generated data can provide a more granular, localised picture that complements data from official monitoring stations. [II] This is particularly valuable in fields like ecology and astronomy, where the study area is vast. [III] The sheer volume of data, however, necessitates rigorous validation protocols to ensure its accuracy and reliability. [IV] Without such checks, the credibility of the entire project could be compromised.

Beyond its scientific contributions, citizen science fosters a stronger connection between the public and the scientific process. Participants gain hands-on experience, deepen their understanding of scientific methods, and develop a greater appreciation for their environment. This educational aspect is crucial, as it can empower communities to take informed action on local issues, from pollution to urban planning. This engagement can also help to demystify science, making it more accessible and relevant to people's daily lives.

However, citizen science is not without its challenges. Ensuring data quality is a primary concern. Volunteers may have varying levels of training and expertise, which can lead to inconsistencies. Researchers must design projects carefully, with clear instructions and simple data collection tools, and often implement verification systems, such as expert review or cross-checking data from multiple volunteers. Managing and motivating a large, dispersed group of volunteers also requires significant effort and resources.