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Rapid growth in industrial sectors such as automotive and shipbuilding has highlighted the significance of strip casting technology to produce lightweight alloys, particularly aluminum alloys widely used in both industrial production and daily life. Twin-roll casting (TRC), as an economically and environmentally friendly method for slab/strip production and processing, has attracted significant interest from researchers. However, the development of TRC aluminum alloys faces many challenges due to limited understanding of microstructural characteristics and control mechanisms. To further enhance comprehension of TRC aluminum alloys, this article reviews the influencing parameters, control methods, and existing issues related to TRC sub-rapid solidification (SRS) microstructure. It firstly summarizes TRC equipment types and their solidification characteristics, followed by a detailed analysis on key parameters affecting the evolution of TRC microstructure including rolling speed, roll separation force (RSF), and heat transfer coefficient (HTC). Finally, solutions to TRC defects are summarized and evaluated alongside their underlying mechanisms. This article provides a comprehensive review of the characteristics and control mechanisms of TRC microstructure while offering valuable insights for the future production of high-quality TRC aluminum strips.

We introduce Motion2VecSets, a 4D diffusion model for dynamic surface reconstruction from point cloud sequences. While existing state-of-the-art methods have demonstrated success in reconstructing non-rigid objects using neural field representations, conventional feed-forward networks encounter challenges with ambiguous observations from noisy, partial, or sparse point clouds. To address these challenges, we introduce a diffusion model that explicitly learns the shape and motion distribution of non-rigid objects through an iterative denoising process of compressed latent representations. The diffusion-based priors enable more plausible and probabilistic reconstructions when handling ambiguous inputs. We parameterize 4D dynamics with latent sets instead of using global latent codes. This novel 4D representation allows us to learn local shape and deformation patterns, leading to more accurate non-linear motion capture and significantly improving generalizability to unseen motions and identities. For more temporally-coherent object tracking, we synchronously denoise deformation latent sets and exchange information across multiple frames. To avoid computational overhead, we designed an interleaved space and time attention block to alternately aggregate deformation latents along spatial and temporal domains. Extensive comparisons against state-of-the-art methods demonstrate the superiority of our Motion2VecSets in 4D reconstruction from various imperfect observations. More detailed information can be found at https://vveicao.github.io/projects/Motion2VecSets/.

This study conducted a controlled experiment to examine the impact of posters’ IP disclosure on the perceptions of Weibo users with different habits and information preferences and explore whether such disclosure facilitates the fight against disinformation or deepens cognitive biases. Results showed that the IP location of the information poster does influence users’ judgments of the authenticity of the information and that the consistency between users’ long-term residence and poster IP is not important for users to make judgments about the credibility of information. The high level of usage of Weibo also has no effect on users’ judgment of the credibility of the information, and this may be related to the small difference in college students’ overall use of Weibo. The results also showed that users’ perceptions of information’s accuracy, logical coherence, absence of bias, alignment with their own views, consistency with the majority opinion, and trustworthiness of its source are all statistically positively correlated with the overall credibility of information.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

This study conducted a controlled experiment to examine the impact of posters’ IP disclosure on the perceptions of Weibo users with different habits and information preferences and explore whether such disclosure facilitates the fight against disinformation or deepens cognitive biases. Results showed that the IP location of the information poster does influence users’ judgments of the authenticity of the information and that the consistency between users’ long-term residence and poster IP is not important for users to make judgments about the credibility of information. The high level of usage of Weibo also has no effect on users’ judgment of the credibility of the information, and this may be related to the small difference in college students’ overall use of Weibo. The results also showed that users’ perceptions of information’s accuracy, logical coherence, absence of bias, alignment with their own views, consistency with the majority opinion, and trustworthiness of its source are all statistically positively correlated with the overall credibility of information.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

This study conducted a controlled experiment to examine the impact of posters’ IP disclosure on the perceptions of Weibo users with different habits and information preferences and explore whether such disclosure facilitates the fight against disinformation or deepens cognitive biases. Results showed that the IP location of the information poster does influence users’ judgments of the authenticity of the information and that the consistency between users’ long-term residence and poster IP is not important for users to make judgments about the credibility of information. The high level of usage of Weibo also has no effect on users’ judgment of the credibility of the information, and this may be related to the small difference in college students’ overall use of Weibo. The results also showed that users’ perceptions of information’s accuracy, logical coherence, absence of bias, alignment with their own views, consistency with the majority opinion, and trustworthiness of its source are all statistically positively correlated with the overall credibility of information.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

This study conducted a controlled experiment to examine the impact of posters’ IP disclosure on the perceptions of Weibo users with different habits and information preferences and explore whether such disclosure facilitates the fight against disinformation or deepens cognitive biases. Results showed that the IP location of the information poster does influence users’ judgments of the authenticity of the information and that the consistency between users’ long-term residence and poster IP is not important for users to make judgments about the credibility of information. The high level of usage of Weibo also has no effect on users’ judgment of the credibility of the information, and this may be related to the small difference in college students’ overall use of Weibo. The results also showed that users’ perceptions of information’s accuracy, logical coherence, absence of bias, alignment with their own views, consistency with the majority opinion, and trustworthiness of its source are all statistically positively correlated with the overall credibility of information.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

This study conducted a controlled experiment to examine the impact of posters’ IP disclosure on the perceptions of Weibo users with different habits and information preferences and explore whether such disclosure facilitates the fight against disinformation or deepens cognitive biases. Results showed that the IP location of the information poster does influence users’ judgments of the authenticity of the information and that the consistency between users’ long-term residence and poster IP is not important for users to make judgments about the credibility of information. The high level of usage of Weibo also has no effect on users’ judgment of the credibility of the information, and this may be related to the small difference in college students’ overall use of Weibo. The results also showed that users’ perceptions of information’s accuracy, logical coherence, absence of bias, alignment with their own views, consistency with the majority opinion, and trustworthiness of its source are all statistically positively correlated with the overall credibility of information.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

This study conducted a controlled experiment to examine the impact of posters’ IP disclosure on the perceptions of Weibo users with different habits and information preferences and explore whether such disclosure facilitates the fight against disinformation or deepens cognitive biases. Results showed that the IP location of the information poster does influence users’ judgments of the authenticity of the information and that the consistency between users’ long-term residence and poster IP is not important for users to make judgments about the credibility of information. The high level of usage of Weibo also has no effect on users’ judgment of the credibility of the information, and this may be related to the small difference in college students’ overall use of Weibo. The results also showed that users’ perceptions of information’s accuracy, logical coherence, absence of bias, alignment with their own views, consistency with the majority opinion, and trustworthiness of its source are all statistically positively correlated with the overall credibility of information.

This article explores science communication about Omicron on Weibo by eight actors from November 2021 to June 2022. Regarding the themes of vaccines, symptoms, and medicines, we examined the actors’ communication with content analysis, presented the interactions of different actors using social network analysis, and assessed the impact of weibos on public sentiment using SnowNLP and descriptive statistics. The results showed that scientists are still the most important actors, focusing on science issues and using contrasting and contextual frames. Central-level media play an essential mediating role, relaying scientific knowledge. Science communication on Weibo had a positive impact on public sentiment.

The Bohai Sea is a habitat for economically important fish in China, but its ecological environment has changed significantly, and it is necessary to further clarify the dynamics and the internal resupply channels of nutrients in the Bohai Sea. Based on four field observations in the Bohai Sea from May to December 2019, the nutrient dynamics were addressed. The concentration of dissolved inorganic nutrients was depleted throughout the water column in spring and in the euphotic zone in summer and accumulated in the bottom water in summer and in the water column in autumn and winter. Relative phosphorus limitation was present in Laizhou Bay and its surrounding area in all seasons, while relative silicon limitation was evident in spring and relative nitrogen limitation was significant in summer in most other study aeras. The results of end-member mixing model illustrated significant seasonal differences in the nutrient uptake ratios, which may be related to various factors such as different phytoplankton composition and phosphorus turnover rates. Turbulent entrainment was an important nutrient pathway for primary production in the euphotic zone of Central Bohai Sea during the stratification season, with an estimated average nutrient flux of 6.04 ± 9.63, 0.22 ± 0.19 and 6.97 ± 6.61 mmol·m-2·d-1 for DIN, DIP and DSi, respectively.

The Bohai Sea is a habitat for economically important fish in China, but its ecological environment has changed significantly, and it is necessary to further clarify the dynamics and the internal resupply channels of nutrients in the Bohai Sea. Based on four field observations in the Bohai Sea from May to December 2019, the nutrient dynamics were addressed. The concentration of dissolved inorganic nutrients was depleted throughout the water column in spring and in the euphotic zone in summer and accumulated in the bottom water in summer and in the water column in autumn and winter. Relative phosphorus limitation was present in Laizhou Bay and its surrounding area in all seasons, while relative silicon limitation was evident in spring and relative nitrogen limitation was significant in summer in most other study aeras. The results of end-member mixing model illustrated significant seasonal differences in the nutrient uptake ratios, which may be related to various factors such as different phytoplankton composition and phosphorus turnover rates. Turbulent entrainment was an important nutrient pathway for primary production in the euphotic zone of Central Bohai Sea during the stratification season, with an estimated average nutrient flux of 6.04 ± 9.63, 0.22 ± 0.19 and 6.97 ± 6.61 mmol·m-2·d-1 for DIN, DIP and DSi, respectively.

Classification is an important aspect of hyperspectral images processing and application. At present, the researchers mostly use the classic airborne hyperspectral imagery as the benchmark dataset. However, existing datasets suffer from three bottlenecks: (1) low spatial resolution; (2) low labeled pixels proportion; (3) low degree of subclasses distinction. In this paper, a new benchmark dataset named the Wuhan UAV-borne hyperspectral image (WHU-Hi) dataset was built for hyperspectral image classification. The WHU-Hi dataset with a high spectral resolution (nm level) and a very high spatial resolution (cm level), which we refer to here as H2 imager. Besides, the WHU-Hi dataset has a higher pixel labeling ratio and finer subclasses. Some start-of-art hyperspectral image classification methods benchmarked the WHU-Hi dataset, and the experimental results show that WHU-Hi is a challenging dataset. We hope WHU-Hi dataset can become a strong benchmark to accelerate future research., Comment: 5 pages, 1 figure

Deep convolutional neural networks (CNNs) have been widely used to obtain high-level representation in various computer vision tasks. However, for the task of remote scene classification, there are no sufficient images to train a very deep CNN from scratch. Instead, transferring successful pre-trained deep CNNs to remote sensing tasks provides an effective solution. Firstly, from the viewpoint of generalization power, we try to find whether deep CNNs need to be deep when applied for remote scene classification. Then, the pre-trained deep CNNs with fixed parameters are transferred for remote scene classification, which solve the problem of time-consuming and parameters over-fitting at the same time. With five well-known pre-trained deep CNNs, experimental results on three independent remote sensing datasets demonstrate that transferred deep CNNs can achieve state-of-the-art results in unsupervised setting. This chapter also provides baseline for applying deep CNNs to other remote sensing tasks.