16 research outputs found

    YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective

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    Unmanned Aerial Vehicles (UAVs), specifically drones equipped with remote sensing object detection technology, have rapidly gained a broad spectrum of applications and emerged as one of the primary research focuses in the field of computer vision. Although UAV remote sensing systems have the ability to detect various objects, small-scale objects can be challenging to detect reliably due to factors such as object size, image degradation, and real-time limitations. To tackle these issues, a real-time object detection algorithm (YOLO-Drone) is proposed and applied to two new UAV platforms as well as a specific light source (silicon-based golden LED). YOLO-Drone presents several novelties: 1) including a new backbone Darknet59; 2) a new complex feature aggregation module MSPP-FPN that incorporated one spatial pyramid pooling and three atrous spatial pyramid pooling modules; 3) and the use of Generalized Intersection over Union (GIoU) as the loss function. To evaluate performance, two benchmark datasets, UAVDT and VisDrone, along with one homemade dataset acquired at night under silicon-based golden LEDs, are utilized. The experimental results show that, in both UAVDT and VisDrone, the proposed YOLO-Drone outperforms state-of-the-art (SOTA) object detection methods by improving the mAP of 10.13% and 8.59%, respectively. With regards to UAVDT, the YOLO-Drone exhibits both high real-time inference speed of 53 FPS and a maximum mAP of 34.04%. Notably, YOLO-Drone achieves high performance under the silicon-based golden LEDs, with a mAP of up to 87.71%, surpassing the performance of YOLO series under ordinary light sources. To conclude, the proposed YOLO-Drone is a highly effective solution for object detection in UAV applications, particularly for night detection tasks where silicon-based golden light LED technology exhibits significant superiority

    MicroRNA‐215‐5p promotes proliferation, invasion, and inhibits apoptosis in liposarcoma cells by targeting MDM2

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    Abstract Background Liposarcoma (LPS) is one of the most common soft tissue malignancies in adults, and it is characterized by dysregulation of multiple signaling pathways, including MDM2 proto‐oncogene (MDM2) amplification. MicroRNA (miRNA) regulates gene expression through incomplete complementary pairing with the 3' untranslated region of mRNAs involved in tumor progression. Methods In this study, bioinformatics analysis, RT‐qPCR, dual‐luciferase reporter gene, MTT, flow cytometry, cell scratches, chamber migration, colony formation, FISH, WB, and CCK8 were used. Results RT‐qPCR showed that the expression of MDM2 was increased when miR‐215‐5p was overexpressed compared with the control group. The dual‐luciferase reporter gene showed that the Renilla ratio firefly fluorescence intensity was decreased in the overexpression group compared with the control group. Cell phenotype experiments revealed that the overexpression group had increased cell proliferation rate, increased apoptosis rate, increased colony formation rate, increased cell healing area ratio, and increased number of cell invasions. FISH revealed increased MDM2 expression in the overexpression group. WB suggested decreased Bax expression, increased PCNA, Bcl‐2, and MDM2 expression, and decreased P53 and P21 expression in the overexpression group. Conclusions In this study, we suggest that miR‐215‐5p can target and promote MDM2 expression, promote the proliferation and invasion of LPS cells SW‐872, and inhibit apoptosis.Targeting miR‐215‐5p may be a novel therapeutic strategy for the treatment of LPS

    Genomic Profiles in Stage I Primary Non Small Cell Lung Cancer Using Comparative Genomic Hybridization Analysis of cDNA Microarrays

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    To investigate the genomic aberrations that are involved in lung tumorigenesis and therefore may be developed as biomarkers for lung cancer diagnosis, we characterized the genomic copy number changes associated with individual genes in 14 tumors from patients with primary non small cell lung cancer (NSCLC). Six squamous cell carcinomas (SQCAs) and eight adenocarcinomas (ADCAs) were examined by high-resolution comparative genomic hybridization (CGH) analysis of cDNA microarray. The SQCAs and ADCAs shared common frequency distributions of recurrent genomic gains of 63 genes and losses of 72 genes. Cluster analysis using 57 genes defined the genomic differences between these two major histologic types of NSCLC. Genomic aberrations from a set of 18 genes showed distinct difference of primary ADCAs from their paired normal lung tissues. The genomic copy number of four genes was validated by fluorescence in situ hybridization of 32 primary NSCLC tumors, including those used for cDNA microarray CGH analysis; a strong correlation with cDNA microarray CGH data emerged. The identified genomic aberrations may be involved in the initiation and progression of lung tumorigenesis and, most importantly, may be developed as new biomarkers for the early detection and classification of lung cancer

    Angiopoietin‐2 Promotes Mechanical Stress‐induced Extracellular Matrix Degradation in Annulus Fibrosus Via the HIF‐1α/NF‐ÎșB Signaling Pathway

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    Objective Mechanical stress is an important risk factor for intervertebral disc degeneration (IVDD). Angiopoietin‐2 (ANG‐2) is regulated by mechanical stress and is widely involved in the regulation of extracellular matrix metabolism. In addition, the signaling cascade between HIF‐1α and NF‐ÎșB is critical in matrix degradation. This study aims to investigate the role and molecular mechanism of ANG‐2 in regulating the degeneration of annulus fibrosus (AF) through the HIF‐1α/NF‐ÎșB signaling pathway. Methods The bipedal standing mice IVDD model was constructed, and histological experiments were used to evaluate the degree of IVDD and the expression of ANG‐2 in the AF. Mouse primary AF cells were extracted in vitro and subjected to mechanical stretching experiments. Western blot assay was used to detect the effect of mechanical stress on ANG‐2, and the role of the ANG‐2‐mediated HIF‐1α/NF‐ÎșB pathway in matrix degradation. In addition, the effect of inhibiting ANG‐2 expression by siRNA or monoclonal antibody on delaying IVDD was investigated at in vitro and in vivo levels. One‐way ANOVA with the least significant difference method was used for pairwise comparison of the groups with homogeneous variance, and Dunnett's method was used to compare the groups with heterogeneous variance. Results In IVDD, the expressions of catabolic biomarkers (mmp‐13, ADAMTS‐4) and ANG‐2 were significantly increased in AF. In addition, p65 expression was increased while HIF‐1α expression was significantly decreased. The results of western blot assay showed mechanical stress significantly up‐regulated the expression of ANG‐2 in AF cells, and promoted matrix degradation by regulating the activity of HIF‐1α/NF‐ÎșB pathway. Exogenous addition of Bay117082 and CoCl2 inhibited matrix degradation caused by mechanical stress. Moreover, injection of neutralizing antibody or treatment with siRNA to inhibit the expression of ANG‐2 improved the matrix metabolism of AF and inhibited IVDD progression by regulating the HIF‐1α/NF‐ÎșB signaling pathway. Conclusion In IVDD, mechanical stress could regulate the HIF‐1α/NF‐ÎșB signaling pathway and matrix degradation by mediating ANG‐2 expression in AF degeneration

    Photoemission evidence for dilute k-doped phase KxC60 with x<0.2

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    ć›œćź¶è‡Ș然科歊ćŸșé‡‘äž­ć›œç§‘ć­ŠćŒ•æ–‡æ•°æźćș“(CSCD)9383

    Adsorption of oxygen on KxC60 studied by photoelectron spectroscopy

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    ć›œćź¶è‡Ș然科歊ćŸșé‡‘äž­ć›œç§‘ć­ŠćŒ•æ–‡æ•°æźćș“(CSCD)6317
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