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To encourage energy saving and emission reduction and improve traffic efficiency in the multiple signalized intersections area, an eco-driving strategy for connected and automated vehicles (CAVs) considering the effects of traffic flow is proposed for the mixed traffic environment. Firstly, the formation and dissipation process of signalized intersection queues are analyzed based on traffic wave theory, and a traffic flow situation estimation model is constructed, which can estimate intersection queue length and rear obstructed fleet length. Secondly, a feasible speed set calculation method for multiple signalized intersections is proposed to enable vehicles to pass through intersections without stopping and obstructing the following vehicles, adopting a trigonometric profile to generate smooth speed trajectory to ensure good riding comfort, and the speed trajectory is optimized with comprehensive consideration of fuel consumption, emissions, and traffic efficiency costs. Finally, the effectiveness of the strategy is verified. The results show that traffic performance and fuel consumption benefits increase as the penetration rate of CAVs increases. When all vehicles on the road are CAVs, the proposed strategy can increase the average speed by 9.5%, reduce the number of stops by 78.2%, reduce the stopped delay by 82.0%, and reduce the fuel consumption, NOx, and HC emissions by 20.4%, 39.4%, and 46.6%, respectively.

Neoadjuvant chemotherapy (NAC) is a well-established treatment modality for locally advanced breast cancer (BC). However, it can also result in severe toxicities while controlling tumors. Therefore, reliable predictive biomarkers are urgently needed to objectively and accurately predict NAC response. In this study, we integrated single-cell and bulk RNA-seq data to identify nine genes associated with the prognostic response to NAC: NDRG1 , CXCL14 , HOXB2 , NAT1 , EVL , FBP1 , MAGED2 , AR and CIRBP . Furthermore, we constructed a prognostic risk model specifically linked to NAC. The clinical independence and generalizability of this model were effectively demonstrated. Additionally, we explore the underlying cancer hallmarks and microenvironment features of this NAC response-related risk score, and further assess the potential impact of risk score on drug response. In summary, our study constructed and validated a nine-gene signature associated with NAC prognosis, which was accomplished through the integration of single-cell and bulk RNA data. The results of our study are of crucial significance in the prediction of the efficacy of NAC in BC, and may have implications for the clinical management of this disease.

The preceding vehicles detection technique in nighttime traffic scenes is an important part of the advanced driver assistance system (ADAS). This paper proposes a region tracking-based vehicle detection algorithm via the image processing technique. First, the brightness of the taillights during nighttime is used as the typical feature, and we use the existing global detection algorithm to detect and pair the taillights. When the vehicle is detected, a time series analysis model is introduced to predict vehicle positions and the possible region (PR) of the vehicle in the next frame. Then, the vehicle is only detected in the PR. This could reduce the detection time and avoid the false pairing between the bright spots in the PR and the bright spots out of the PR. Additionally, we present a thresholds updating method to make the thresholds adaptive. Finally, experimental studies are provided to demonstrate the application and substantiate the superiority of the proposed algorithm. The results show that the proposed algorithm can simultaneously reduce both the false negative detection rate and the false positive detection rate.

Preceding vehicle detection and tracking at nighttime are challenging problems due to the disturbance of other extraneous illuminant sources coexisting with the vehicle lights. To improve the detection accuracy and robustness of vehicle detection, a novel method for vehicle detection and tracking at nighttime is proposed in this paper. The characteristics of taillights in the gray level are applied to determine the lower boundary of the threshold for taillights segmentation, and the optimal threshold for taillight segmentation is calculated using the OTSU algorithm between the lower boundary and the highest grayscale of the region of interest. The candidate taillight pairs are extracted based on the similarity between left and right taillights, and the non-vehicle taillight pairs are removed based on the relevance analysis of vehicle location between frames. To reduce the false negative rate of vehicle detection, a vehicle tracking method based on taillights estimation is applied. The taillight spot candidate is sought in the region predicted by Kalman filtering, and the disturbed taillight is estimated based on the symmetry and location of the other taillight of the same vehicle. Vehicle tracking is completed after estimating its location according to the two taillight spots. The results of experiments on a vehicle platform indicate that the proposed method could detect vehicles quickly, correctly and robustly in the actual traffic environments with illumination variation.

Both myofibroblast differentiation and extracellular matrix (ECM) deposition are essential components of scar formation in tendons, and hepatocyte growth factor (HGF) is reported to prevent fibrogenic responses in tendons. Matrix metalloproteinases-2(MMP-2) is also involved in the healing process in tendons. Whether HGF protects healed Achilles tendons from injury-induced scar formation and the mechanisms are unknown. Daily for 2 weeks after wounding, except for the non-surgical control group, the Achilles tendons in rats were locally injected with HGF (100 ng 50 μl −1 per mouse) or phosphate-buffered saline (PBS). Histological examination showed HGF ameliorated disorganized collagen fibers caused by surgical incisions in rats. After transforming growth factor beta-1 (TGF-β1) induced fibrogenic responses in primary Achilles tendon fibroblasts in rats, HGF treatment for 24 h reduced α-smooth muscle actin (α-SMA) (0.60 ± 0.07-fold, P  < 0.05) and type III collagen expression (0.39 ± 0.07-fold, P  < 0.05). Moreover, HGF elevated MMP-2 expression (1.23 ± 0.11-fold, P  < 0.05). The MMP-2 inhibitor, tissue inhibitors of metalloproteinase-1 (TIMP-1), partially blocked the inhibitory effects of HGF on α-SMA expression ( from 0.60 ± 0.07-fold to 0.83 ± 0.07-fold, P  < 0.05 ) and type III collagen expression (from 0.39 ± 0.06-fold to 0.86 ± 0.08-fold, P  < 0.05). These results indicate HGF attenuates TGF-β1-induced fibrogenic responses in Achilles tendon, which was mediated by MMP-2. These results will aid in developing effective therapeutic approaches for the dysfunctional repair in Achilles tendons.

Defocus of the imaging system, relative motion between the equipment and the object or inherent defects of the equipment will lead to the degradation of image quality. Usually, image restoration is required before image processing, and the results of restoration technology affect the effect of image processing. In order to study the effect of image restoration technology, the image restoration technology was systematically sorted out. According to the different restoration models, the image restoration technology is divided into the method based on regularization and the method based on Kalman filter, and the two methods are summarized and explained respectively. By analyzing the restoration models established by the two methods and their solving process, it is found that the method based on regularization has advantages in retaining image information, and the method based on Kalman filter has advantages in terms of speed. The development trend of image restoration technology is analyzed from the summary of the two restoration methods, and suggestions and thoughts are put forward for the development of image restoration technology. In the future, image restoration technology should make use of deep learning algorithm, combined with the actual environment and industry characteristics, to achieve intelligent, practical and domain.

Non-small-cell lung cancer (NSCLC) is one of the most frequent solid tumors and regarded as a significant threat to individual health around the world. MicroRNAs (miRs) are recognized as critical governors of gene expression during carcinogenesis, while their clinical significance and mechanism in NSCLC occurrence and development are required for further investigation. In this report, we characterized the functional role of miR-598 and its regulation mechanism in NSCLC. The expression level of miR-598 in NSCLC tissues and cell lines was detected by qRT-PCR. A549 cells were transiently transfected with miR-598 mimics or miR-598 inhibitors. Scratch assay and Transwell assay were used to detect cell transfection, migration, and invasion. Possible binding sites of miR-598 in MSI2 mRNA were predicted by bioinformatics and validated by dual-luciferase reporter gene system. The ability of migration and invasion was examined on cells transfected with MSI2 alone or cotransfected A549 cells with miR-598. The expression of miR-598 in NSCLC tissues was significantly lower than that in adjacent tissues, and the expression of miR-598 in NSCLC cell lines (A549, H1650, and H1299) was also significantly lower than that of normal lung epithelial cell line BEAS-2B. A549 cells were significantly inhibited in migration and invasion after transfection with miR-598 mimics, while miR-598 inhibitors were significantly enhanced in migration and invasion. MSI2 was a direct target gene of miR-598. MSI2 can promote the migration and invasion of A549 cells, but the ability to promote cell migration and invasion was reversed when miR-598 was introduced. In conclusion, miR-598 inhibits the migration and invasion of NSCLC by downregulating the target gene MSI2.

Both myofibroblast differentiation and extracellular matrix (ECM) deposition are essential components of scar formation in tendons, and hepatocyte growth factor (HGF) is reported to prevent fibrogenic responses in tendons. Matrix metalloproteinases-2(MMP-2) is also involved in the healing process in tendons. Whether HGF protects healed Achilles tendons from injury-induced scar formation and the mechanisms are unknown. Daily for 2 weeks after wounding, except for the non-surgical control group, the Achilles tendons in rats were locally injected with HGF (100 ng 50 μl^sup -1^ per mouse) or phosphate-buffered saline (PBS). Histological examination showed HGF ameliorated disorganized collagen fibers caused by surgical incisions in rats. After transforming growth factor beta-1 (TGF-β1) induced fibrogenic responses in primary Achilles tendon fibroblasts in rats, HGF treatment for 24 h reduced α-smooth muscle actin (α-SMA) (0.60 ± 0.07-fold, P < 0.05) and type III collagen expression (0.39 ± 0.07-fold, P < 0.05). Moreover, HGF elevated MMP-2 expression (1.23 ± 0.11-fold, P < 0.05). The MMP-2 inhibitor, tissue inhibitors of metalloproteinase-1 (TIMP-1), partially blocked the inhibitory effects of HGF on α-SMA expression (from 0.60 ± 0.07-fold to 0.83 ± 0.07-fold, P < 0.05) and type III collagen expression (from 0.39 ± 0.06-fold to 0.86 ± 0.08-fold, P < 0.05). These results indicate HGF attenuates TGF-β1-induced fibrogenic responses in Achilles tendon, which was mediated by MMP-2. These results will aid in developing effective therapeutic approaches for the dysfunctional repair in Achilles tendons.[PUBLICATION ABSTRACT]

Vehicle detection is very important for Advanced Driver Assistance System. This paper focused on improving the performance of vehicle detection system with single camera and proposed a multi-feature fusion method for forward vehicle detection. The shadow and edges of the vehicle are the most important features, so they can be utilized to detect vehicle at daytime. The shadow and edge features were segmented accurately by using histogram analysis method and adaptive dual-threshold method respectively. The initial candidates were generated by combining edge and shadow features, and these initial candidates were further verified using an integrated feature based on the fusion of symmetry, texture and shape matching degree features. The weight of each feature was determined by the Fisher criterion, and the non-vehicle initial candidates were rejected by a threshold. The experimental results show that the proposed method could be adapt to different illumination circumstances robustly and improve the accuracy of forward vehicle detection.