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Lunar regolith is an unconsolidated fine-grained layer overlaying on the entire lunar surface, formed by continuous impact and space weathering processes. The production of lunar regolith is both related to the protolith internal properties and the external gardening primarily modulated by impact flux. The penetrating radar data of Chang’E-5 is used to investigate the subsurface structures and the production and evolution of lunar regolith at the landing site. Together with the penetrating radar results from Chang’E-3, we found that the regolith production rates on the ejecta blanket of fresh craters are faster than Apollo sites. The speed up of the regolith production for Chang’E-3 and Chang’E-5 sites may be due to the increased impact flux during the recent history of the solar system, that also recorded by the impact beads and the fragile nature of the ejecta blanket at the two sites. The result of this article can be highly beneficial to the radar signal processing and further explanation of Chang’E-6.

In this study, sediment samples from the 4 regions of Lake Taihu Basin were collected to analyze the distribution characteristics, potential risks and possible sources of heavy metal pollution (Cr, Cu, Zn, As, Cd, Pd and Hg). The results showed that the concentrations and risks from heavy metals were lower in 2018 than in 2012, while the average concentrations of the 7 heavy metals were lower than the upper chemical exceedance level (UCEL). Spatially, the contents were higher in the eastern plains and Yangtze Riverside regions. The results of the risk assessment indicated that all heavy metals other than Cd were at low-pollution levels. In contrast, Cd showed high risk (Eir 255.425 in 2012, Eir 149.293 in 2018), which led to the high comprehensive potential ecological risk level in the western hilly region in 2012. In 2018, the risk for the entire Lake Taihu Basin decreased to a moderate level. In addition, the results of principal component analysis showed that Zn mainly originated from agriculture and zinc ore, Cd originated from metallurgical industries and pesticides, portions of Cu and Cr may have come from natural sources, and the other portions and other heavy metals mostly came from chemical industries such as electroplating. This study thoroughly analyzed the heavy metal pollution status of the Lake Taihu Basin surface sediments and provided a scientific basis for preventing and controlling water pollution in the region.

The overall objective of this study was to investigate the mechanism of inflammation on chondrocyte injury and the protective effect of catalpol on chondrocytes in an inflammatory environment. Chondrocytes were isolated and cultured from the knee joints of three-day-old newborn mice. Alcian Blue staining and the immunocytochemistry staining of type II collagen were used to identify the purity of chondrocytes. Primary chondrocytes were stimulated by IL-1β (10 ng/mL) and subjected to transcriptome analysis. Differentially expressed genes (DEGs) were further analyzed based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. In this experimental study, we performed the viability assay to determine the effects of different concentrations of catalpol on the cell viability of chondrocytes. Chondrocytes were seeded in six-well plates and exposed to 10 μM catalpol 2 h prior to treatment with IL-1β (10 ng/mL). Quantitative real-time (qPCR) and Western blotting were performed to evaluate the RNA and protein expression, respectively. Based on the results of transcriptomics analysis, we found the NOD2 signaling pathway, the NF-kappa B signaling pathway, and the MAPK signaling pathway showed significant changes in chondrocyte damage caused by inflammation. Catalpol (10 μM and 100 μM) could significantly reduce NO, IL-6, IL-1β, and TNF-α in supernatant of chondrocytes. Catalpol significantly inhibited the mRNA expression of IL-1, IL-6, and IL-12 in chondrocytes induced by IL-1β. Catalpol markedly inhibited MMP3, MMP13 mRNA, and protein levels. Catalpol could significantly reduce TNF-α mRNA levels in inflammatory chondrocytes. Inflammation causes significant increases in mRNA levels and protein levels of NOD2, mRNA levels, and protein levels were markedly suppressed by catalpol. In addition, catalpol could significantly increase IKBα protein levels and significantly lower intranuclear P65 levels. Catalpol significantly lowered the phosphorylation protein levels of ERK, p38, and JNK. Our transcriptomic analysis demonstrated that the activation of NOD2 and its downstream pathways, NF-κB and MAPK, is an important cause of the inflammatory injury to chondrocytes induced by IL-1β. Catalpol inhibited the activation of the NOD2 signaling pathway, which reduced the phosphorylation of ERK, p38, and JNK, inhibited the degradation of IκBα, inhibited p65 translocation into the nucleus, reduced the release of inflammatory cytokines, and attenuated the inflammatory damage to chondrocytes.

Background Severe acute respiratory infections (SARI) pose a great global burden. The contribution of respiratory viruses to adult SARI is relatively understudied in Asia. We aimed to determine viral aetiology of adult SARI patients in Kuala Lumpur, Malaysia. Methods The prevalence of 20 common (mainly viral) respiratory pathogens, and MERS-CoV, SARS-CoV and 5 bacterial select agents was investigated from May 2017 to October 2019 in 489 SARI adult patients in Kuala Lumpur, Malaysia, using molecular assays (Luminex NxTAG-RPP kit and qPCR assays). Viral metagenomics analysis was performed on 105 negative samples. Results Viral respiratory pathogens were detected by PCR in 279 cases (57.1%), including 10 (2.0%) additional detections by metagenomics analysis. The most detected viruses were rhinovirus/enterovirus (RV/EV) (49.1%) and influenza virus (7.4%). Three melioidosis cases were detected but no SARS-CoV, MERS-CoV or other bacterial select agents. Bacterial/viral co-detections and viral co-detections were found in 44 (9.0%) and 27 (5.5%) cases respectively, mostly involving RV/EV. Independent predictors of critical disease were male gender, chronic lung disease, lack of runny nose and positive blood culture with a significant bacterial pathogen. Asthma and sore throat were associated with increased risk of RV/EV detection, while among RV/EV cases, males and those with neurological disease were at increased risk of critical disease. Conclusions Prior to the COVID-19 pandemic, the high prevalence of respiratory viruses in adults with SARI was mainly attributed to RV/EV. Continued surveillance of respiratory virus trends contributes to effective diagnostic, prevention, and treatment strategies.

Penetrating planetary regolith is extremely important to explore the secrets inside extraterrestrial celestial bodies. Applying the concept and method of bionics to endow planetary regolith-burrowing robots (PRBRs) with elegant and flexible mobility as natural creatures is gradually becoming a research hotspot in the field of planetary robotics. Compared with traditional penetrating methods, such as drilling and excavation, bioinspired burrowing methods are still seldom studied. This work presents a detailed review of the progress and perspective of bioinspired PRBRs. According to the burrowing mechanisms and strategies of creatures, the current bioinspired PRBRs are divided into seven categories, namely wriggling, undulating, dual-anchoring, grabbing-pushing, reciprocating, granular fluidizing methods inspired by animals, and root growth method inspired by plants. The general characteristics of these robots are summarized in-depth, and the advantages and disadvantages are compared. Then, the key technologies of determining the functionalities and performance of bioinspired PRBRs are comprehensively analyzed, including bioinspired mechanism design, motion control, robot-regolith interaction, and terrestrial validation. Finally, the development trend of bioinspired PRBRs is presented, including new mechanisms and materials, autonomous burrowing control, and intelligent perception and communication.

The operation data of a tunnel boring machine (TBM) reflects its geological conditions and working status, which can provide critical references and essential information for TBM designers and operators. However, in practice, operation data may get corrupted due to equipment failures or data management errors. Moreover, the working state of a TBM system usually changes, which results in patterns of operation data that vary comparatively. This paper proposes a denoising approach to process the corrupted data. This approach is combined with low-rank matrix recovery (LRMR) and sparse representation (SR) theory. The classical LRMR model requires that the noise must be sparse, but the sparsity of noise cannot be fully guaranteed. In the proposed model, a weighted nuclear norm is utilized to enhance the sparsity of sparse components, and a constraint of condition number is applied to ensure the stability of the model solution. The approach is coupled with a fuzzy c-means algorithm (FCM) to find the natural partitioning using the TBM operation data as input. The performances of the proposed approach are illustrated through an application to the Shenzhen metro. Experimental results show that the proposed approach performs well in corrupted TBM data denoising. The different excavation status of the TBM recognition accuracy is improved remarkably after denoising.

Submerged plants and biofilms have significant advantages in hydro-ecology rehabilitation, but their tolerance and physiological responses to heavy metal stress have thus far been under-investigated. This study investigated the influence of lead on physiological and biochemical responses, as well as variation in bacterial communities and functional characteristics of submerged plant biofilms. The results showed that chlorophyll a content of two submerged plants decreased with increased lead concentration. The concentration of malondialdehyde of both submerged plants was higher under high lead concentrations than under low lead concentrations, and the concentrations of malondialdehyde and hydrogen peroxide in Vallisneria natans were more stable. The antioxidant enzyme systems of the two plants played protective roles against lead stress. High lead concentration can inhibit the bacterial community and lead to decreased diversity. The most abundant bacterial phyla were Proteobacteria (40.9%), Cyanobacteria (21.5%), and Bacteroidetes (14.3%). Proteobacteria abundance decreased with increased lead concentration, while Cyanobacteria abundance increased. The lead concentration in plants (19.7%, P < 0.01) and the lead concentration in aquatic environment (17.7%, P < 0.01) were significantly correlated with variation in bacterial communities. High lead concentration inhibits the activity of these bacteria related to the conversion of nitrogen and sulfur.

Background Postoperative sore throat and sleep disturbance are prevalent among patients undergoing spinal surgery, and these conditions can substantially impact their postoperative satisfaction and quality of life. The present study aimed to examine the impact of ultrasound-guided stellate ganglion block (SGB) on the occurrence of postoperative sore throat (POST) and postoperative sleep disturbance (PSD) in patients who undergo lumbar spine surgery under general anesthesia. Methods Sixty patients were randomly assigned to either the experimental group (SGB group) or the control group (CG). Both groups received the same induction and maintenance drugs. However, the SGB group received a right SGB under ultrasound guidance 15 min before anesthesia induction, while the CG did not receive any block anesthesia intervention before anesthesia induction. We monitored the incidence and severity of POST at 1, 6, 24, and 48 h after surgery in both groups. Additionally, we evaluated the deep sleep quality score on the first, second, and fifth days after surgery in both groups. Results The incidence of POST at 1 h and 6 h after surgery was significantly lower in the SGB group (10.0% and 13.3%) than in the CG (43.3% and 36.7%) ( P  < 0.05). The postoperative sore throat scores of the SGB group (0.10 ± 0.31 and 0.17 ± 0.46) at 1 h and 6 h after surgery were lower than those of the CG (0.57 ± 0.73 and 0.50 ± 0.77) ( P  < 0.05). Moreover, the deep sleep quality score on the first, second, and fifth days after surgery were significantly higher in the CG (5.40 ± 3.37, 4.70 ± 3.19, 4.53 ± 3.44) than in the SGB group (3.87 ± 2.30, 3.13 ± 1.77, 3.03 ± 1.84) ( P  < 0.05). Conclusion Ultrasound-guided SGB can reduce the incidence and severity of POST and improve PSD in patients undergoing lumbar spine surgery. Trial registration This study was registered on Chinese Clinical Trial Registry, (ChiCTR2200065279) on 01/11/2022.