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Multi-level Cross-attention Siamese Network For Visual Object Tracking

  • Zhang, Jianwei;Wang, Jingchao;Zhang, Huanlong;Miao, Mengen;Cai, Zengyu;Chen, Fuguo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.12
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    • pp.3976-3990
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    • 2022
  • Currently, cross-attention is widely used in Siamese trackers to replace traditional correlation operations for feature fusion between template and search region. The former can establish a similar relationship between the target and the search region better than the latter for robust visual object tracking. But existing trackers using cross-attention only focus on rich semantic information of high-level features, while ignoring the appearance information contained in low-level features, which makes trackers vulnerable to interference from similar objects. In this paper, we propose a Multi-level Cross-attention Siamese network(MCSiam) to aggregate the semantic information and appearance information at the same time. Specifically, a multi-level cross-attention module is designed to fuse the multi-layer features extracted from the backbone, which integrate different levels of the template and search region features, so that the rich appearance information and semantic information can be used to carry out the tracking task simultaneously. In addition, before cross-attention, a target-aware module is introduced to enhance the target feature and alleviate interference, which makes the multi-level cross-attention module more efficient to fuse the information of the target and the search region. We test the MCSiam on four tracking benchmarks and the result show that the proposed tracker achieves comparable performance to the state-of-the-art trackers.

Differences in liver microRNA profiling in pigs with low and high feed efficiency

  • Miao, Yuanxin;Fu, Chuanke;Liao, Mingxing;Fang, Fang
    • Journal of Animal Science and Technology
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    • v.64 no.2
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    • pp.312-329
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    • 2022
  • Feed cost is the main factor affecting the economic benefits of pig industry. Improving the feed efficiency (FE) can reduce the feed cost and improve the economic benefits of pig breeding enterprises. Liver is a complex metabolic organ which affects the distribution of nutrients and regulates the efficiency of energy conversion from nutrients to muscle or fat, thereby affecting feed efficiency. MicroRNAs (miRNAs) are small non-coding RNAs that can regulate feed efficiency through the modulation of gene expression at the post-transcriptional level. In this study, we analyzed miRNA profiling of liver tissues in High-FE and Low-FE pigs for the purpose of identifying key miRNAs related to feed efficiency. A total 212~221 annotated porcine miRNAs and 136~281 novel miRNAs were identified in the pig liver. Among them, 188 annotated miRNAs were co-expressed in High-FE and Low-FE pigs. The 14 miRNAs were significantly differentially expressed (DE) in the livers of high-FE pigs and low-FE pigs, of which 5 were downregulated and 9 were upregulated. Kyoto Encyclopedia of Genes and Genomes analysis of liver DE miRNAs in high-FE pigs and low-FE pigs indicated that the target genes of DE miRNAs were significantly enriched in insulin signaling pathway, Gonadotropin-releasing hormone signaling pathway, and mammalian target of rapamycin signaling pathway. To verify the reliability of sequencing results, 5 DE miRNAs were randomly selected for quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The qRT-PCR results of miRNAs were confirmed to be consistent with sequencing data. DE miRNA data indicated that liver-specific miRNAs synergistically acted with mRNAs to improve feed efficiency. The liver miRNAs expression analysis revealed the metabolic pathways by which the liver miRNAs regulate pig feed efficiency.

Effects of TikTok fashion advertising characteristics and preferences on fashion product purchase intention- Focused on female consumers in their 20s and 30s in China - (틱톡 패션광고의 특성 및 선호도가 패션 상품의 구매 의도에 미치는 영향 - 중국 20~30대 여성 소비자 중심으로 -)

  • Kim, Chil Soon;Yu, Miao
    • The Research Journal of the Costume Culture
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    • v.30 no.4
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    • pp.548-562
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    • 2022
  • We conducted this study to determine the TikTok usage status of Chinese consumers, and the effect of fashion advertisement type preference and TikTok characteristics on fashion product purchase intentions. For this study, we conducted a literature review and survey method. The following conclusions were drawn by collecting data online and performing statistical analysis. Firstly, the period of use was 2 - 4 years, and 95.1% of people used it for 2 - 3 hours a day, and 95.1% of the people had a purchasing experience on TikTok. Secondly, the most people were interested in self creating and editing videos in TikTok. With regards to TikTok content, groups aged 30 are significantly more interested in fashion coordination suggestions and influencer' recommendations than groups aged 20. Thirdly, this study found that the characteristics of TikTok fashion advertisements significantly influenced purchase intention. Among the characteristics of fashion advertisements, this study conclude that the "fashion entertainment" characteristic factor that fashion advertisements are fun and entertaining was the most influential variable on purchase intention, followed by useful information, reliability, and interactivity related to fashion. Fourthly, the types of preferred TikTok fashion advertising had a statistically significant effect on product purchase intention. The influential types of preferred advertising are top view, live advertisement, hashtag challenge, in-feed ads, and sticker ads.

The Growth of the Qizhou Medicinal Herb Market during the Ming and Qing Dynasties and Medicine King Temple (명(明).청대(淸代) 기주약시(祁州藥市)의 성장(成長)과 '약왕묘(藥王廟)')

  • Lee, Min-Ho;Ahn, Sang-Woo
    • The Korea Journal of Herbology
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    • v.24 no.4
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    • pp.31-37
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    • 2009
  • Objectives : The rapid progress seen in the Chinese medical and pharmaceutical industries since the mid.Ming Dynasty, and the resulting surge in demand for medicinal herbs led to the emergence of dedicated medicinal herb markets. A representative example was the medicinal herb market of Qizhou (today's Anguo) in Hebei Province. This paper examines various factors that contributed to the transformation and growth of Qizhou into and as a major medicinal herb market of China. Methods : Along with the examination of geographical factors, this study attempts to link the development of Qizhou as a center for medicinal herbs trade with legends related to the Medicine Lord Temple (Yao Wang Miao), a local shrine dedicated to the mythical Medicine Kings. Results : The main argument of this study is that although the emergence of Qizhou as China's largest marketplace for medicinal herbs was significantly helped by its proximity to Beijing, a huge source of demand, as well as its convenient location easily accessible from all parts of the country, and the large herbal production from surrounding areas, the single.most important contributing factor was the body of legends attributing to this city a magical healing energy. Conclusions : The example of Qizhou may also suggest that in pre.modern eras, legends related to supernatural healing power, associated to a city or town, were as important contributing factors to its emergence and growth as a dedicated medicinal herb market as its location or ease of access.

Surface morphology and deuterium retention in W and W-HfC alloy exposed to high flux D plasma irradiation

  • Yongkui Wang;Xiaochen Huang;Jiafeng Zhou;Jun Fang;Yan Gao;Jinlong Ge;Shu Miao;Zhuoming Xie
    • Nuclear Engineering and Technology
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    • v.55 no.2
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    • pp.575-579
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    • 2023
  • In this work, pure W and W-0.5wt%HfC alloy (WHC05) were fabricated by sintering and hot-rolling following the same processing route. After exposing to a high flux deuterium plasma irradiation with the D+ flux to three fluences of 6.00 × 1024, 2.70 × 1025 and 7.02 × 1025 D/m2, the evolution of surface morphology, deuterium retention and hardening behaviors in pure W and WHC05 has been studied. The SEM results show the formation of D blisters on the irradiated area, and with the increase of D implantation, the size of these blisters increases from 200 ~ 500 nm (2.70 × 1025 D/m2) to 1 ~ 2 ㎛ (7.02 × 1025 D/m2) in WHC05 and from 1 ~ 2 ㎛ (2.70 × 1025 D/m2) to > 3 ㎛ (7.02 × 1025 D/m2) in pure W, respectively. A higher D retention and obvious hardening are observed in pure W than that of the WHC05 alloy, indicating an improve radiation resistance in WHC05 compared to pure W.

Study on the influence of flow blockage in severe accident scenario of CAP1400 reactor

  • Pengcheng Gao;Bin Zhang ;Jishen Li ;Fan Miao ;Shaowei Tang ;Sheng Cao;Hao Yang ;Jianqiang Shan
    • Nuclear Engineering and Technology
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    • v.55 no.3
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    • pp.999-1008
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    • 2023
  • Deformed fuel rods can cause a partial blockage of the flow area in a subchannel. Such flow blockage will influence the core coolant flow and further the core heat transfer during the reflooding phase and subsequent severe accidents. Nevertheless, most of the system analysis codes simulate the accident process based on the assumed flow blockage ratio, resulting in inconsistencies between simulated results and actual conditions. This paper aims to study the influence of flow blockage in severe accident scenario of the CAP1400 reactor. First, the flow blockage model of ISAA code is improved based on the FRTMB module. Then, the ISAA-FRTMB coupling system is adopted to model and calculate the QUENCH-LOCA-0 experiment. The correctness and validity of the flow blockage model are verified by comparing the peak cladding temperature. Finally, the DVI Line-SBLOCA accident is induced to analyze the influence of flow blockage on subsequent CAP1400 reactor core heat transfer and core degradation. From the results of the DVI Line-SBLOCA accident analysis, it can be concluded that the blockage ratio is in the range of 40%-60%, and the position of severe blockage is the same as that of cladding rupture. The blockage reduces the circulation area of the core coolant, which in turn impacts the heat exchange between the core and the coolant, leading to the early failure and collapse of some core assemblies and accelerating the core degradation process.

Comparative Study of Camel Milk from Different Areas of Xinjiang Province in China

  • Jing Miao;Shuang Xiao;Jun Wang
    • Food Science of Animal Resources
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    • v.43 no.4
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    • pp.674-684
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    • 2023
  • Xinjiang province is the main camel feeding area in China with a large square, and camel milk from different areas have different qualities. By now, there are few reports about the quality of camel milk from different areas of Xinjiang province in China. In this study, seven batches of camel milk and one batch of cow milk were collected, and the contents of fat, protein, lactose, total solid, and nonfat milk solid of these milk samples were determined, as well as the contents of lysozyme and vitamin C. All samples were scored and compared by principal component analysis score and comprehensive weighted multi-index score. As the results, camel milk from different areas showed different contents of fat (4.62%-7.02%), protein (3.34%-3.95%), lactose (3.85%-4.79%), total solid (13.59%-17.00%), nonfat milk solid (8.55%-9.73%), vitamin C (12.10-41.25 ㎍/mL), and lysozyme (8.70-22.80 ㎍/mL), as well as different qualities. This variation would help people to know more about quanlity of camel milk in Xinjiang province. Camel milk from Jeminay showed the best quality, and then followed by camel milk from Fukang, Changji, and Fuhai, while cow milk showed the lowest score. Therefore, Jeminay is the most suitable place for grazing camels. Our findings show the different qualities of camel milk in different distribution areas of Xinjiang province, and provide an insight for the evaluation of camel milk. In the present study, only seven components in camel milk were determined, many other factors, such as cfu, mineral, and other vitamins, have not been considered.

Improvement and validation of aerosol models for natural deposition mechanism in reactor containment

  • Jishen Li ;Bin Zhang ;Pengcheng Gao ;Fan Miao ;Jianqiang Shan
    • Nuclear Engineering and Technology
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    • v.55 no.7
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    • pp.2628-2641
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    • 2023
  • Nuclear safety is the lifeline for the development and application of nuclear energy. In severe accidents of pressurized water reactor (PWR), aerosols, as the main carrier of fission products, are suspended in the containment vessel, posing a potential threat of radioactive contamination caused by leakage into the environment. The gas-phase aerosols suspended in the containment will settle onto the wall or sump water through the natural deposition mechanism, thereby reducing atmospheric radioactivity. Aiming at the low accuracy of the aerosol model in the ISAA code, this paper improves the natural deposition model of aerosol in the containment. The aerosol dynamic shape factor was introduced to correct the natural deposition rate of non-spherical aerosols. Moreover, the gravity, Brownian diffusion, thermophoresis and diffusiophoresis deposition models were improved. In addition, ABCOVE, AHMED and LACE experiments were selected to validate and evaluate the improved ISAA code. According to the calculation results, the improved model can more accurately simulate the peak aerosol mass and respond to the influence of the containment pressure and temperature on the natural deposition rate of aerosols. At the same time, it can significantly improve the calculation accuracy of the residual mass of aerosols in the containment. The performance of improved ISAA can meet the requirements for analyzing the natural deposition behavior of aerosol in containment of advanced PWRs in severe accident. In the future, further optimization will be made to address the problems found in the current aerosol model.

Predicting the Baltic Dry Bulk Freight Index Using an Ensemble Neural Network Model (통합적인 인공 신경망 모델을 이용한 발틱운임지수 예측)

  • SU MIAO
    • Korea Trade Review
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    • v.48 no.2
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    • pp.27-43
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    • 2023
  • The maritime industry is playing an increasingly vital part in global economic expansion. Specifically, the Baltic Dry Index is highly correlated with global commodity prices. Hence, the importance of BDI prediction research increases. But, since the global situation has become more volatile, it has become methodologically more difficult to predict the BDI accurately. This paper proposes an integrated machine-learning strategy for accurately forecasting BDI trends. This study combines the benefits of a convolutional neural network (CNN) and long short-term memory neural network (LSTM) for research on prediction. We collected daily BDI data for over 27 years for model fitting. The research findings indicate that CNN successfully extracts BDI data features. On this basis, LSTM predicts BDI accurately. Model R2 attains 94.7 percent. Our research offers a novel, machine-learning-integrated approach to the field of shipping economic indicators research. In addition, this study provides a foundation for risk management decision-making in the fields of shipping institutions and financial investment.

Sustainable SCC with high volume recycled concrete aggregates and SCMs for improved mechanical and environmental performances

  • Zhanggen Guo;Ling Zhou;Qiansen Sun;Zhiwei Gao;Qinglong Miao;Haixia Ding
    • Advances in concrete construction
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    • v.16 no.6
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    • pp.303-316
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    • 2023
  • Using industrial wastes and construction and demolition (C&D) wastes is potentially advantageous for concrete production in terms of sustainability improvement. In this paper, a sustainable Self-Compacting Concrete (SCC) made with industrial wastes and C&D wastes was proposed by considerably replacing natural counterparts with recycled coarse aggregates (RCAs) and supplementary cementitious materials (SCMs) (i.e., Fly ash (FA), ground granulated blast furnace slag (GGBS) and silica fume (SF)). A total of 12 SCC mixes with various RCAs and different combination SCMs were prepared, which comprise binary, ternary and quaternary mixes. The mechanical properties in terms of compressive strength and static elasticity modulus of recycled aggregates (RA-SCC) mixes were determined and analyzed. Microstructural study was implemented to analyze the reason of improvement on mechanical properties. By means of life cycle assessment (LCA) method, the environmental impacts of RA-SCC with various RCAs and SCMs were quantified, analyzed and compared in the system boundary of "cradle-to-gate". In addition, the comparison of LCA results with respect to mechanical properties was conducted. The results demonstrate that the addition of proposed combination SCMs leads to significant improvement in mechanical properties of quaternary RA-SCC mixes with FA, GGBS and SF. Furthermore, quaternary RA-SCC mixes emit lowest environmental burdens without compromising mechanical properties. Thus, using the combination of FA, GGBS and SF as cement substitution to manufacture RA-SCC significantly improves the sustainability of SCC by minimizing the depletion of cement and non-renewable natural resources.