Combined passivators regulate physiological, antioxidant potential and metals accumulation in potato grown in metals contaminated soil.

To solve the problem of excessive heavy metals in farmland soil, there is a dire need for research effort to screen for the soil passivator materials. This study aimed to develop a practical novel approach for improving the potato growth and remedial effectiveness of the metals by optimal combination and dosage of various passivators. Experimental treatments were comprised of various levels of passivating agents (sepiolite, quicklime and calcium magnesium phosphate) in individual and combined form. Results showed that application of passivating agents significantly enhanced growth by optimizing photosynthetic attributes, enzymatic antioxidants, and soil health. Balanced application of passivators effectively reduce the bioavailability of metals, curbing their uptake by potato plants. Sole application of all the agents results statistically similar outcomes as compared with combined form. Additionally, passivators indirectly enhance the activity of essential antioxidant enzymes. Synergistic effect of all the agents significantly improved the tuber quality by decreasing the accumulation of proline, malondialdehyde content, and bioaccumulation of Cu, Pb, Cd, and As in potato parts. In crux, combined usage of passivating agents proved to be of better growth, improvement in antioxidative defense system, and better quality of potato. By mitigating heavy metal contamination, passivators not only enhance crop quality and yield but also ensure heavy metal-free potatoes that meet stringent food safety standards.

Application and Effectiveness of Big Data and Artificial Intelligence in the Construction of Nursing Sensitivity Quality Indicators.

In order to explore the quality management efficiency of applying big data and artificial intelligence in nursing quality index, a method of building a nursing management platform integrating nursing indicators and nursing events is proposed. Based on the investigation of the application demand of nursing information system, the method achieves timely data sharing and transmission through WLAN technology and realizes nursing management monitoring, nursing quality index enquiry, and automatic statistical analysis under the vertical management mode of nursing. The results showed that 77 people (73%) thought the time decreased, 19 people (18%) thought the time was the same, and 9 people (7%) thought the time increased. In terms of intelligent application and big data of nursing information management system, there is a significant difference in nursing management efficiency before and after using nursing management information system (P < 0.001). The nursing management control platform is designed and applied, and the nursing quality control method and actual management process are improved, which is very good for strengthening nursing quality management. The overall optimization of the quality control process is realized, which helps to mobilize the initiative and enthusiasm of nursing staff and continuously improve the effectiveness of nursing management and nursing efficiency.

The effects of RNA interference targeting Bactrocera dorsalis ds-Bdrpl19 on the gene expression of rpl19 in non-target insects.

Double-stranded RNA (dsRNA) designed to target pest genes emerges as a promising strategy for improving pest control. Therefore, it is necessary to assess the effects of dsRNA on non-target insects, such as native enemies and beneficial insects, to determine the environmental safety of such treatments. In this paper, we investigated the effects of dsRNA targeting rpl19 from Bactrocera dorsalis on non-target insects in citrus ecological systems by feeding the dsRNA to Bactrocera minax, Apis mellifera and Diachasmimorpha longicaudata. The results showed that when B. dorsalis were fed rpl19 CDS dsRNA or 3'UTR dsRNA, the expression of rpl19 was dramatically decreased. Feeding the Bdrpl19 CDS dsRNA to adult B. minax and D. longicaudata caused their respective rpl19 genes to be knocked down over 50-70 and 40%, respectively, but it had no effect on the expression of the rpl19 gene in A. mellifera. The Bdrpl19 3'UTR dsRNA did not have any silencing effects on the expression levels of rpl19 in non-target insects. This study provides evidence that dsRNA can impact non-target organisms, but the 3'UTR dsRNA may not have effects in non-target organisms.

Coexpression of double or triple copies of the rabies virus glycoprotein gene using a 'self-cleaving' 2A peptide-based replication-defective human adenovirus serotype 5 vector.

Rabies virus glycoprotein (RVG) is a major structural protein and antigen of rabies virus that induces a highly immunogenic response. In the present study, we have used 2A self-cleaving sequence of the foot-and-mouth disease virus (FMDV) to express double or triple copies of the RVG from a single open reading frame derived from human adenovirus 5 (AdHu5). The recombinant adenoviruses produce similar virus titers, indicating that the insertion of double or triple copies of the RVG gene linked with the FMDV 2A sequence does not affect virus replication. The RVG was efficiently expressed by constructs containing the 2A sequence and retained its antigenic property. The 2A self-cleaving peptide mediated efficient generation of individual glycoprotein in transient expression assay and did not lead to an altered surface distribution of RVG. Flow cytometry demonstrated that the expression levels of RVG were improved in recombinant Ads carrying multiple RVG gene copies. We conclude that ribosome skipping induced by the FMDV 2A sequence is an effective strategy to express multiple glycoprotein genes of rabies virus in adenoviruses and 2A-containing recombinant Ads may represent an attractive alternative to other coexpression strategies for multiple gene expression.