Inverse Estimation of Open Boundary Conditions in the Bohai Sea

This paper presents an algorithm for the estimation of open boundary conditions (OBCs) which force tides in the interior region by an adjoint data assimilation approach. Assuming that OBCs are position dependent, OBCs can be approximated by linear interpolation among values at certain independent points (IPs). Twin experiments are performed to examine the sensitivity of the model to the IP distribution and interpolation radius. It is proved that the prescribed OBCs can be well recovered with appropriate number of IP and interpolation radius. In the Bohai Sea model domain with horizontal resolution of 10’×10’, the appropriate number of IP is 3 and the interpolation radius is 60′. In the practical experiment, the M2 constituent in the Bohai Sea is simulated by assimilating the T/P data and tidal gauge data. The mean absolute errors in amplitude and phase are 5.0 cm and 5.7°, respectively, and the cochart obtained shows the character of M2 constituent in the Bohai Sea

TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes

Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are widespread yet overlooked. To address this issue, we introduce a new dataset called BEE23 to highlight complex motions. Identity association algorithms have long been the focus of MOT research. Existing trackers can be categorized into two association paradigms: single-feature paradigm (based on either motion or appearance feature) and serial paradigm (one feature serves as secondary while the other is primary). However, these paradigms are incapable of fully utilizing different features. In this paper, we propose a parallel paradigm and present the Two rOund Parallel matchIng meChanism (TOPIC) to implement it. The TOPIC leverages both motion and appearance features and can adaptively select the preferable one as the assignment metric based on motion level. Moreover, we provide an Attention-based Appearance Reconstruct Module (AARM) to reconstruct appearance feature embeddings, thus enhancing the representation of appearance features. Comprehensive experiments show that our approach achieves state-of-the-art performance on four public datasets and BEE23. Notably, our proposed parallel paradigm surpasses the performance of existing association paradigms by a large margin, e.g., reducing false negatives by 12% to 51% compared to the single-feature association paradigm. The introduced dataset and association paradigm in this work offers a fresh perspective for advancing the MOT field. The source code and dataset are available at https://github.com/holmescao/TOPICTrack

Effects of atorvastatin and rosuvastatin on blood lipids, platelet aggregation rate and inflammatory factors in patients with cerebral infarction

Purpose: To investigate the effects of atorvastatin and rosuvastatin on blood lipids, platelet aggregation rate (PAR) and inflammatory factors in patients with cerebral infarction.Methods: Patients (n = 120) with cerebral infarction treated in Feng Hua People's Hospital, Jiang Feng Hua, China from January 2014 to October 2016 were randomly divided into control group (clopidogrel combined with atorvastatin, 60 cases) and observation group (clopidogrel combined with rosuvastatin, 60 cases). Blood lipids, PAR, inflammatory factors and carotid atherosclerotic plaque were recorded and compared.Results: Following treatment, total cholesterol (TC), triglycerides (TG) and low  density lipoprotein cholesterol (LDL-C) in the observation group were significantly lower (p < 0.05) than in the control group, while high density lipoprotein cholesterol (HDL-C) was significantly higher (p < 0.05). C-reactive protein (CRP), tumor necrosis factor-α (IL-6) and interleukin-6 (IL-6) were significantly decreased in the two groups after treatment (p < 0.05). Plaque area, intima-media thickness (IMT) and number of plaques in the two groups were significantly lower after treatment than before treatment (p < 0.05). Plaque area, IMT and number of plaques in the observation group were significantly lower than those in the control group (p < 0.05).Conclusion: Atorvastatin and rosuvastatin have no significant effect on the  antiplatelet function of clopidogrel, but rosuvastatin shows better control of blood lipids, carotid atherosclerosis and inflammatory factors.Keywords: Atorvastatin, Rosuvastatin, Cerebral infarction, Blood lipids, Platelet aggregation rate, Inflammatory factor