Highlights: Patients with coronavirus disease 2019 (COVID-19) had altered inflammatory markers. High sensitivity C-reactive protein-(pre)albumin ratios positively correlated with severe COVID-19. Prognostic nutritional index negatively correlated with risk of severe COVID-19. Nomogram combining the three factors reliably predicted the progression of COVID-19. High sensitivity C-reactive protein-prealbumin and -albumin ratios helped estimate duration of hospitalization.

Cytokine profiles may impact the pathogenicity and severity of hand, foot, and mouth disease caused by human enterovirus (HEV) 71. In 91 severe or mild HEV 71-associated hand, foot, and mouth disease children, serum was collected between days 2 and 10 or day >10. Serum cytokines including Type 1 T helper (Th1) cytokines: interleukin (IL)-2, interferon-gamma (IFN-γ), IL-12, and IL-18, Type 1 T helper (Th2) cytokines: IL-4, IL-10, IL-13, proinflammatory cytokines: IL-1α, IL-1β, IL-6, IL-8, IL-17, and tumor necrosis factor alpha (TNF-α), were assessed during the early stage and recovery. In the patients with mild illness, the peaks of IL-8 and IL-10 were observed on day 6 and that of IL-18 was on day 4. In the patients with severe illness, all cytokines spiked on day 3 and peaked on day 11. All cytokines except IL-6, IL-8, IL-18, and TNF-α were significantly correlated with immunoglobulin M levels by the end of the disease course. Cytokine profile variations between the patients with mild and severe illness may indicate prognosis and strain virulence, useful in clinical treatment of patients.

The digital twin technology has become mature and has entered the stage of popularization and application, but the research on digital twin technology of substation secondary system has not been carried out systematically. This paper provides the idea of digital twin digital analog integration application of secondary system, which realizes the information interconnection of three-dimensional model, loop relationship model and transmission data model. Through the correspondence between physical model such as optical cable and field reality, the physical loop information and corresponding virtual loop information can be viewed more intuitively. Combined with the multi-dimensional data-driven model technology, the correlation information of the secondary physical loop and the logic loop is dynamically displayed in 3D visualization, to provide technical support for the operation and maintenance.

Peaches/nectarines (Prunus persica L.) are widely cultivated worldwide. As with other species, the sugar content is the most important trait for fruit quality, especially for precocious cultivars. Most fruits need to improve their sugar content in order to be more profitable under fierce market competition. 5-Aminolevulinic acid (ALA), a naturally occurring δ-amino acid, has been shown to improve leaf photosynthesis and fruit quality, especially sugar content. However, the mechanisms are not clear. The objective of this study is to determine the effects of exogenous ALA on leaf photosynthesis, assimilate transport, and sugar accumulation during fruit development. We used the field-cultivated precocious nectarine ‘Zhongyoutao 4’ and potted cultivated peach ‘Zhongai 33’ as materials, whereas in the second experiment, we used 14C radiolabeling to trace 14C fixation in leaves, transport in branches, and distribution in different organs. The results showed that ALA significantly enhanced the photosynthetic gas exchange capacity, and the effects were maintained for at least one month. The results of the 14C radiolabel experiment showed that ALA enhanced 14C fixation in leaves, promoted the transport to fruits, and reduced the allocation rate of young leaves. This suggests that ALA enlarges “source” volume and strengthens “sink” competition; therefore, assimilate translocation to fruits is promoted. It was observed that sucrose contributed the main saccharide for peach fruit quality at maturity, which might not be converted from glucose or fructose but from starch degradation. ALA improved starch accumulation in the young fruits as well as degradation during maturity. The RT-qPCR showed that the expression of most genes involved in sugar metabolism did not correlate or even negatively correlate with fruit sucrose content. However, the expressions of SWEET1/6/7/8/15/16/17 were highly correlated with the sucrose content, and exogenous ALA treatment up-regulated the gene expression at fruit maturity, suggesting they might play an important role in fruit sugar accumulation. These results provide important theoretical support for ALA application in fruit quality improvement, as well as a regulatory mechanism study on sugar accumulation in fruits.