In order to assess the independent walking ability of elderly people, a system for assessing the independent walking ability of elderly people using yolov5 target detection was developed, and the accuracy of the detection was improved with a modified R2-yo1ov based on yolov5 by replacing the residual structure bottleneck in its unique C3 structure with the Res2net residual module, and by channel-wise and activation function optimization in terms of channels and activation functions. In order to enhance the information transfer between network layers, the upper and lower feature layers are fused to improve the detection effect. The experimental results show that the map of R2-yo1ov5 tested on the elderly helper dataset can reach 96.7%, which is 1.8% higher than the original yolov5 network, and the detection effect of support class is improved by 5.5%, which is a significant improvement in the detection effect and can meet the requirements of the detection scenario.
Objective To evaluate value of single-level dynamic computed tomography hepatic arteriography (SD-CTHA) in distinguishing blood-rich hepatocellular carcinoma with hepatic metastases. Methods 18 cases of blood -rich hepatocellular carcinoma and 10 hepatic metastases were measured by SD-CTHA and time-intensity curves were mapped. Results Sustained enhancement was observed in tumor center,and slowly diffused to tumor circumference after maximum contrast-enhancement, and flower crest shaped contrast-enhancement was conformed while contrast reagent was disappeared in hepatocellular carcinoma. Diffused enhancement was showed from tumor margin to center, slow and sustained enhancement in circumference was conformed while contrast reagent of the tumor center was disappeared after maximum contrast-enhancement in hepatic metastases. Time-signal intensity was composed of 3 phases: increment, plateau and decrement. High peak time of hepatocellular carcinoma for 9～14 s,peak value for 152.4～430.2 HU,however, high peak time of hepatic metastases for 9～16 s,peak value for 140.8～309.6 HU,mean enhancement rate was compared by Mann-Whitney method (P0.01). Tumor central CT value for 63.5～198.8 HU, peak value for 16～21 s at the end of hepatocellular carcinoma scan, whereas tumor central CT value for 89.2～234.8 HU,peak value for 14～21 s in hepatic metastases,mean decline rate was calculated (P0.05). Conclusion SD-CTHA between more blood hepatocellular carcinoma and hepatic metastases has differential diagnostic value.
In this paper, we propose a hybrid scheme to measure depth values for a stereo structured light system with only a single shot. We design a dual-frequency monochromatic pattern, based on which depth values are computed in three steps. Firstly, phases and coarse depth maps are computed by following the idea of Fourier transform profilometry, where a novel phase unwrapping method is proposed. Afterward, errors in coarse depth maps are detected according to cross-view geometry consistency. Finally, spatial stereo matching is conducted to refine the detected errors. Experiments demonstrate that the proposed scheme can generate accurate stereo depth maps with only one shot, which can be used in a range of real-time applications.
The cytosolic PNGase (peptide:N-glycanase; Png1 in yeast; NGLY1/Ngly1 in human/mice), also known as peptide-N4-(N-acetyl-beta-glucosaminyl)-asparagine ami-dase, is a well-conserved deglycosylation enzyme (EC 3.5.1.52) which catalyzes the non-lysosomal hydrolysis of an N(4)-(acetyl-β-D-glucosaminyl) asparagine residue into N-acetyl-β-D-glucosaminylamine and a peptide containing an aspartate residue. This enzyme (NGLY1) plays essential roles in clearance of misfolded or unassembled gly-coproteins through a process named ER-associated degradation (ERAD). Accumulating evidence also points out that NGLY1 deficiency can cause an autosomal recessive hu-man genetic disorder associated with abnormal development and congenital disorder of deglycosylation. In addition, the loss of NGLY1 can affect multiple cellular pathways, including but not limited to NFE2L1 pathway, Creb1/Atf1-AQP pathway, BMP path-way, AMPK pathway, and SLC12A2 ion transporter, which might be the underlying reasons for a constellation of clinical phenotypes of NGLY1 deficiency. The current comprehensive review indeed uncovers the detailed NGLY1’s structure and its im-portant roles for participation in ERAD, involvement in CDDG and potential treatment for NGLY1 deficiency.
Endoplasmic-reticulum-associated protein degradation
Deregulation of voltage-gated potassium channel subunit Kv1.3 has been reported in many tumors. Kv1.3 promotes tumorigenesis by enhancing cell proliferation while suppressing apoptosis. However, the expression and function of Kv1.3 in osteosarcoma are unknown. In the present study, we detected the expression of Kv1.3 in human osteosarcoma cells and tissues by RT-PCR, Western blot and immunohistochemistry. We further examined cell proliferation and apoptosis in osteosarcoma MG-63 cells and xenografts following knockdown of Kv1.3 by short hairpin RNA (shRNA). We found that Kv1.3 was upregulated in human osteosarcoma. Knockdown of Kv1.3 significantly suppressed cell proliferation and increased apoptosis as demonstrated by enhanced cleavage of poly (ADP-ribose) polymerase (PARP) and the activation of Caspase-3/7. Furthermore, adenovirus delivered shRNA targeting Kv1.3 significantly inhibited the growth of MG-63 xenografts. Taken together, our results suggest that Kv1.3 is a novel molecular target for osterosarcoma therapy.
The goal of image fusion is to create new images that are more suitable for the purposes of human visual perception, machine vision, object detection and target recognition. This paper preserves a new IHS-WT method based on weighted regional features for the fusion of a high-resolution panchromatic image and a low-resolution, multi-spectral image. Firstly, the multi-spectral image is transformed into IHS component. Secondly, the histogram-matched panchromatic (New PAN) image and intensity component (I) are decomposed into wavelet coefficients respectively. Thirdly, the new intensity component can be obtained by fused the wavelet coefficient data of New PAN and I through adaptive weights based on window region features. Finally, the new intensity, hue, and saturation components are transformed back to RGB. A comparative analysis is carried out against other existing strategies. The results show that the proposed method can achieve better performance in combing and preserving spectral-spatial information for the test images.
Accurate identification of molecular targets of disease plays an important role in diagnosis, prognosis, and therapies. Breast cancer (BC) is one of the most common malignant cancers in women worldwide. Thus, the objective of this study was to accurately identify a set of molecular targets and small molecular drugs that might be effective for BC diagnosis, prognosis, and therapies, by using existing bioinformatics and network-based approaches. Nine gene expression profiles (GSE54002, GSE29431, GSE124646, GSE42568, GSE45827, GSE10810, GSE65216, GSE36295, and GSE109169) collected from the Gene Expression Omnibus (GEO) database were used for bioinformatics analysis in this study. Two packages, LIMMA and clusterProfiler, in R were used to identify overlapping differential expressed genes (oDEGs) and significant GO and KEGG enrichment terms. We constructed a PPI (protein–protein interaction) network through the STRING database and identified eight key genes (KGs) EGFR, FN1, EZH2, MET, CDK1, AURKA, TOP2A, and BIRC5 by using six topological measures, betweenness, closeness, eccentricity, degree, MCC, and MNC, in the Analyze Network tool in Cytoscape. Three online databases GSCALite, Network Analyst, and GEPIA were used to analyze drug enrichment, regulatory interaction networks, and gene expression levels of KGs. We checked the prognostic power of KGs through the prediction model using the popular machine learning algorithm support vector machine (SVM). We suggested four TFs (TP63, MYC, SOX2, and KDM5B) and four miRNAs (hsa-mir-16-5p, hsa-mir-34a-5p, hsa-mir-1-3p, and hsa-mir-23b-3p) as key transcriptional and posttranscriptional regulators of KGs. Finally, we proposed 16 candidate repurposing drugs YM201636, masitinib, SB590885, GSK1070916, GSK2126458, ZSTK474, dasatinib, fedratinib, dabrafenib, methotrexate, trametinib, tubastatin A, BIX02189, CP466722, afatinib, and belinostat for BC through molecular docking analysis. Using BC cell lines, we validated that masitinib inhibits the mTOR signaling pathway and induces apoptotic cell death. Therefore, the proposed results might play an effective role in the treatment of BC patients.
Objective: Phase-contrast X-ray computed tomography (PCCT) with an interferometer can reveal the inner soft tissue structures of biological objects without contrast agent, and the image quality is thought to resemble that of magnetic resonance imaging (MRI). Comparative study among PCCT, MRI, and optical microscopy was undertaken. Methods: Three formalin-fixed colon cancer specimens from nude mice were imaged both by PCCT with a reconstructed volumetric resolution of (0.018)3 mm3 and 4.74-T MRI with that of (0.075)3 mm3. Results: Phase-contrast X-ray computed tomography with an interferometer clearly demonstrated the inner structures of colon cancer masses, such as cancer, necrosis, surrounding tumor vessels, and skin, in a similar way to low-magnified optical microscopic images and had approximately 4.0-fold higher signal-to-noise ratio than MRI. Conclusions: With formalin-fixed biological samples, PCCT exhibited higher image quality than MRI and was thought to be suitable for detailed imaging of soft tissue with high volumetric resolution.
Channel estimation technology is one of the key technologies in the Orthogonal Frequency Division Multiplexing(OFDM)system.Because of the superiority of decreasing Mean Square Error(MSE)and Bit Error Rate(BER),the decision-directed channel estimation algorithm is paid closely attention.In this paper,a decision-directed channel estimation algorithm based on linear minimum mean square error(LMMSE)is proposed,and it is simulated in the white Gaussian noise channel and multipath Rayleigh channel.The result shows that this algorithm has obvious superiority comparing to the other decision-directed algorithm in terms of decreasing MSE and BER.
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