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Passiflora caerulea is native to brazil. In recent years, the edible, medicinal, and ornamental value of P. caerulea has stimulated its wide cultivation in Southeast Asian countries, especially China. Because the chloroplast genome is rich with information about the species evolution as well as its genetic relationship to other species, the P. caerulea chloroplast genome was sequenced, assembled, and annotated in this study. The P. caerulea chloroplast genome is 151,362 bp in total with an overall GC content of 37.03%. It has a quadripartite structure, includes a large single-copy region (LSC, 85,623 bp), a small single-copy region (SSC, 13,397 bp), and two inverted repeat regions (IRa and IRb, 26,180 bp combined). There are 131 genes in the P. caerulea chloroplast genome, including 79 protein-coding genes, 37 tRNA genes, 8 rRNA genes, and 7 pseudogenes. Phylogenetic analysis of 29 Passiflora spp. showed that P. caerulea is most closely related to P. edulis. These results provide a considerable foundation for P. caerulea conservation genetics research.
RESUMEN
Duchenne muscular dystrophy (DMD) results in loss of ambulation and premature death. Ultrasound provides real-time, safe, and cost-effective routine examinations. Deep learning allows the automatic generation of useful features for classification. This study utilized deep learning of ultrasound imaging for classifying patients with DMD based on their ambulatory function. A total of 85 individuals (including ambulatory and nonambulatory subjects) underwent ultrasound examinations of the gastrocnemius for deep learning of image data using LeNet, AlexNet, VGG-16, VGG-16TL, VGG-19, and VGG-19TL models (the notation TL indicates fine-tuning pretrained models). Gradient-weighted class activation mapping (Grad-CAM) was used to visualize features recognized by the models. The classification performance was evaluated using the confusion matrix and receiver operating characteristic (ROC) curve analysis. The results show that each deep learning model endows muscle ultrasound imaging with the ability to enable DMD evaluations. The Grad-CAMs indicated that boundary visibility, muscular texture clarity, and posterior shadowing are relevant sonographic features recognized by the models for evaluating ambulatory function. Of the proposed models, VGG-19 provided satisfying classification performance (the area under the ROC curve: 0.98; accuracy: 94.18%) and feature recognition in terms of physical characteristics. Deep learning of muscle ultrasound is a potential strategy for DMD characterization.
RESUMEN
This study reported the complete nucleotide sequence of the pineapple varieties F153 chloroplast (cp) genome. The cpDNA was 159,521 bp in length and contained 131 genes (77 protein-encoding genes, 30 tRNA genes and four rRNA genes). The phylogenetic relationship of the pineapple varieties F153 plastid was consistent with previous report.
RESUMEN
OBJECTIVE: To explore effect of acupuncture at Zusanli (ST 36) and Xuanzhong (GB 39) on cerebrovascular function in the patient of ischemic stroke. METHODS: Three central, single blind, randomized controlled trial method was adopted, and 160 cases were randomly divided into an acupuncture group and a control group, 80 cases in each group. The two groups were treated by routine treatment for ischemic stroke with acupuncture at Zusanli (ST 36) and Xuanzhong (GB 39) added in the acupuncture group. Changes of TCD cerebrovascular blood flow indexes before and after treatment were evaluated. RESULTS: After treatment, TCD indexes significantly improved in the acupuncture group (P < 0.05, P < 0.01) with a significant difference as compared with that in the control group (P < 0.05). CONCLUSION: Acupuncture at Zusanli (ST 36) and Xuanzhong (GB 39) can significantly improve cerebral vasomotoricity, cerebral blood flow auto-regulative function, cerebral hemisphere collateral circulation comprehental function in the patient of ischemic stroke.