分析下从句To study the public attention towards COVID-related information, we first extracted hashtags which encompass all aspects of COVID-19 and classified them based on geo- graphic regions and the exposure order under the pandemic into three categories: Main- land China, East Asia outside of Mainland China and Other Countries outside of East Asia.

时间: 2024-03-30 07:36:41 浏览: 23
这是一个复杂的从句,包含了一些研究方法的说明。首先,该从句以不定式短语"To study the public attention towards COVID-related information"开头,表示研究的目的。接着,从句中使用了一个复合句式,其中包含了一个主语"we"和两个谓语"extracted"和"classified"。"extracted"是一个动词,表示提取,指的是提取与COVID-19相关的所有标签。"classified"是另一个动词,表示分类,指的是对这些标签进行分类。分类的标准是地理区域和在疫情下的曝光顺序,分为三个类别:中国大陆、中国大陆以外的东亚和东亚以外的其他国家。整个从句强调了作者进行研究的方法和分类标准。
相关问题

Give a brief introduction to a novel including the following aspects: - genre - characters - plot - setting - theme

Sure, I'd be happy to help! Here's a brief introduction to a novel: Genre: This novel is a science-fiction thriller. Characters: The main character is a brilliant scientist named Dr. Ava Green, who is tasked with saving the world from a catastrophic event. She is joined by a team of scientists and military personnel, including her former lover, Captain Jack Miller. Plot: Dr. Green discovers that a massive asteroid is hurtling towards Earth, and if it collides, it will cause an extinction-level event. She and her team must work together to develop a plan to stop the asteroid and save humanity. Along the way, they face numerous obstacles, including sabotage from a rival scientist and the emotional tension between Dr. Green and Captain Miller. Setting: The novel takes place in the near future, with much of the action taking place in a high-tech laboratory and on a space mission to intercept the asteroid. Theme: The novel explores the themes of sacrifice, teamwork, and the human drive to survive against all odds. It also delves into the ethical questions surrounding scientific discovery and the responsibility that comes with it.

[21] Wang Chen Victor, Neo. Studying the Enactment of School-Based Curriculum Development(SBCD) in Singapore[J]. Educational Research

for Policy and Practice, 2018, 17(2): 179-195. In this article, Victor Wang Chen Neo examines the implementation of school-based curriculum development (SBCD) in Singapore. SBCD is a process where schools are given greater autonomy to develop and implement their own curriculum, rather than following a standardized national curriculum. The author begins by providing an overview of the history of curriculum development in Singapore, and how the shift towards SBCD came about. He then presents the findings of a study that he conducted, which involved interviews with school leaders who had implemented SBCD in their schools. The author identifies several factors that influenced the successful implementation of SBCD in these schools. These include strong leadership, a clear vision and direction for the school, and a focus on student learning and development. The author also highlights the importance of teacher training and support, as well as collaboration and communication among all stakeholders involved in the curriculum development process. However, the author also notes some challenges that schools face when implementing SBCD. These include a lack of resources, such as time and funding, as well as the need to balance autonomy with accountability to ensure that the curriculum developed meets national standards. Overall, the author suggests that SBCD has the potential to improve the quality of education in Singapore by allowing schools to tailor their curriculum to the needs and interests of their students. However, he also calls for continued support and guidance from the government to ensure that schools are able to implement SBCD effectively.

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The human visual cortex is biased towards shape components while CNNs produce texture biased features. This fact may explain why the performance of CNN significantly degrades with low-labeled input data scenarios. In this paper, we propose a frequency re-calibration U-Net (FRCU-Net) for medical image segmentation. Representing an object in terms of frequency may reduce the effect of texture bias, resulting in better generalization for a low data regime. To do so, we apply the Laplacian pyramid in the bottleneck layer of the U-shaped structure. The Laplacian pyramid represents the object proposal in different frequency domains, where the high frequencies are responsible for the texture information and lower frequencies might be related to the shape. Adaptively re-calibrating these frequency representations can produce a more discriminative representation for describing the object of interest. To this end, we first propose to use a channel-wise attention mechanism to capture the relationship between the channels of a set of feature maps in one layer of the frequency pyramid. Second, the extracted features of each level of the pyramid are then combined through a non-linear function based on their impact on the final segmentation output. The proposed FRCU-Net is evaluated on five datasets ISIC 2017, ISIC 2018, the PH2, lung segmentation, and SegPC 2021 challenge datasets and compared to existing alternatives, achieving state-of-the-art results.请详细介绍这段话中的技术点和实现方式

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