Acute respiratory infections (ARI) with multiple types of viruses are common in infants and children. This study was conducted to assess the difference of oropharyngeal microbiome during acute respiratory viral infection using whole-genome shotgun metagenomic sequencing. The overall taxonomic alpha diversity did not differ by the types of infected virus.
View Article and Find Full Text PDFThe purpose of this study was to investigate the effects of aromatherapy and acupoint herbal patching on fatigue and sleep disorders in people living with HIV (PLWH). Aromatherapy and acupoint herbal patching are ancient alternative therapies in traditional Chinese medicine. We randomly selected 90 patients from the Nanjing Public Health Medical Center in China and divided them into three groups: aromatherapy group, acupoint herbal patching group and control group.
View Article and Find Full Text PDFThe limited transport of oxygen at the solid-liquid interface and the poor charge separation efficiency of single catalyst significantly impedes the generation of reactive oxygen species (ROS), thereby weakening the application potential of photocatalytic technology in water pollution control. Herein, a hollow porous photocatalytic aerogel sphere (calcium alginate/cellulose nanofibers (CA/CNF)) loaded BiOBr/TiC, combining a favourable mass transfer structure with effective catalytic centers was firstly presented. The floatability and hollow pore structure facilitated rapid O transfer via a triphase interface, thereby promoting the generation of ROS.
View Article and Find Full Text PDFObjective: Cerebrovascular diseases are often associated with the development of depression, but few studies have assessed this association with brain arteriovenous malformations (bAVMs). We aim to explore the association of brain arteriovenous malformation(bAVM) with new onset depression at follow-up.
Methods: We performed a retrospective cohort study on adult bAVMs patients using an institutional bAVM database.
The cervical cell classification technique can determine the degree of cellular abnormality and pathological condition, which can help doctors to detect the risk of cervical cancer at an early stage and improve the cure and survival rates of cervical cancer patients. Addressing the issue of low accuracy in cervical cell classification, a deep convolutional neural network A2SDNet121 is proposed. A2SDNet121 takes DenseNet121 as the backbone network.
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