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Multiple object tracking (MOT) is a sophisticated computer vision task that aims to detect and track the trajectories of all objects within a given scene. MOT necessitates the establishment of unique identifiers for each object in the scene and currently, the majority of MOT works adopt tracking-by-detection, using re-identification techniques to associate objects based on appearance or motion features. However, traditional MOT methods may yield suboptimal results when appearance features are unreliable or geometric features are confounded by irregular motions. Consequently, this paper proposes a cascaded matching tracker called IMMSegTrack, which replaces detection boxes with segmentation contours for IoU matching and generates convincing prediction outcomes by blending multiple adaptive Kalman filter models. With the guide of interactive multiple model and pixel-level matching, better performance could be achieved through well-designed cascaded association. Our experimental innovations mainly focus on the prediction and matching aspects within the MOT framework, while tests on DanceTrack and SoccerNet datasets have been conducted using the original models of YOLOv8 to obtain desired results. The relevant codes for the experiments are available at https://github.com/xwh129/IMMSegTrack.git. In addition, it is considerable to retrain model weights and expand the experiments to more datasets for better performance. • Employment of IMM to perform better in irregular motion estimations. • Three-stages cascaded matching to achieve reasonable associations. • Utilizing contours to achieve pixel-level comparisons in IOU matching. • Removals of trajectories on the brim to cut down redundant cached frames. [ABSTRACT FROM AUTHOR]

: BackgroundOur previous studies have shown that the injection of B16F1 melanoma cells into the mesenteric vein can induce the rapid local release of nitric oxide (NO) in the liver, causing apoptosis of the melanoma cells in the liver sinusoids and inhibiting the subsequent formation of hepatic metastases. In this study, we have investigated the distribution and cellular source of NO in this model.: Materials and methodsIn situ liver perfusion was established in both wild-type (wt) and endothelial nitric oxide synthase knockout (eNOS KO) C57BL/6 mice. A specific fluorescent NO probe, 4,5-diaminofluorescein diacetate (DAF-2 DA) (5 μmol/L), was perfused into the portal venous system to label the liver tissue. Then, a MitoTracker Orange labeled B16F1 melanoma cell suspension (2 × 106 cells/ml) was injected through a portal vein catheter by a peristaltic pump. Images of the liver tissue were taken by confocal microscopy from a selected area to determine the cellular source of NO. For quantification, the fluorescence intensity of this area was measured over time by Fluoview software.: ResultsDiaminotriazolofluorescein (DAF-2T) fluorescence (indicating NO generation) was detected in hepatic parenchymal cells located in the periportal region in both wt C57BL/6 and eNOS KO C57BL/6 mice and was intensified by increased flow rate in the portal venous system. The B16F1 cells arrested in the periportal sinusoids, corresponding to zone 1 of the hepatic acinus. DAF-2T fluorescence was expressed by both sinusoidal lining cells and hepatocytes at the site of tumor cell arrest. The fluorescence intensity of these cells increased ∼2-fold over a time of 500 s. In contrast, there was no increase in the fluorescence intensity of the sinusoidal lining cells and hepatocytes in mice perfused with buffer or in eNOS KO mice perfused with B16F1 cells.: ConclusionThis study demonstrates that NO is produced by hepatic parenchymal cells mainly located in the periportal zones and that the arrest of the B16F1 melanoma cells causes an eNOS-dependent local burst of NO by the sinusoidal lining cells and hepatocytes in the periportal areas. [Copyright &y& Elsevier]

Two pairs of primers were designed to bind conserved genomic regions of goose parvovirus (GPV) and goose astrovirus (GAstV) to establish a simple, sensitive, and highly specific duplex quantitative PCR (qPCR) method to simultaneously detect the two viruses. The duplex qPCR can distinguish GPV (melting point: 82.1 °C) and GAstV (melting point: 79.8 °C) by the peaks of their individual melting curves. Mixed testing with other waterfowl viruses produced no nonspecific peaks. The established standard curves showed good linear relationships (R2 > 0.997) and the limits of detection (LOD) for GPV and GAstV were 5.74 × 101 and 6.58 × 101 copies/μL, respectively. Both intra- and inter-assay coefficients of variation were <2%, indicating that the method has good repeatability. Twenty tissue samples from diseased geese were examined with the duplex qPCR assay and conventional PCR. Duplex qPCR showed positive rates of 25% for GPV and 45% for GAstV, and the positive rate for GPV and GAstV coinfection was 15%, slightly higher than the results for conventional PCR. These results indicated that this duplex qPCR method is highly sensitive, specific, and reproducible, and is suitable for epidemiological studies to effectively control the transmission of GPV and GAstV. • We established a duplex SYBR green-based real-time qPCR assay to detect GPV and GAstV. • The melt curve temperature of GPV and GAstV was 82.1 °C and 79.8 °C. • This method has the advantages of high sensitivity, good specificity and reproducibility. [ABSTRACT FROM AUTHOR]

Goose circovirus (GoCV) is a potential immunosuppressive virus that poses a great hazard to the goose industry and has been shown to be widely distributed throughout China. We have established a fast, sensitive and highly specific TaqMan real-time quantitative PCR detection method for this virus. Specific primers and probes were designed against the conserved regions of the genomic GoCV Rep gene. The results showed that the assay was highly specific and sensitive for GoCV and did not cross-react with other non-targeted waterfowl viruses. The established method will be helpful for epidemiological detection and may be effective in the prevention and control of the disease. • A real-time PCR method based on TaqMan was established to detect goose circovirus. • TaqMan qPCR method was established with high sensitivity, specificity and reliability. • Provide tools for epidemiological investigation of GoCV. [ABSTRACT FROM AUTHOR]