Distributed Dynamic Event-Triggered Control to Leader-Following Consensus of Nonlinear Multi-Agent Systems with Directed Graphs.

This paper investigates achieving leader-following consensus in a class of multi-agent systems with nonlinear dynamics. Initially, it introduces a dynamic event-triggered strategy designed to effectively alleviate the strain on the system's communication resources. Subsequently, a distributed control strategy is proposed and implemented in the nonlinear leader-follower system using the dynamic event-triggered mechanism, aiming to ensure synchronization across all nodes at an exponential convergence speed. Thirdly, the research shows that under the dynamic event-triggered strategy the minimum event interval of any two consecutive triggers guarantees the elimination of Zeno behavior. Lastly, the validity of the calculation results is verified by a simulation example.

[Characteristics of Bacterial Community Structure in the Sediment of Rural Black and Odorous Water Bodies].

Sediment microorganisms are the main drivers of the material circulation and organic matter degradation processes in rural black and odorous water bodies(RBOWB), and the community structure of sediment microorganisms follows the changes in the external environment. Here, the pollutant indicators, including nitrogen, phosphorus, and heavy metals in the overlying water and sediment of 29 RBOWB in Dongming County of Heze City were measured, respectively. Combined with Illumina sequencing results, the composition and diversity characteristics of sediment bacterial communities in RBOWB and their correlation with environmental factors were further analyzed. The experimental results showed a wide distribution of pollutants in both of the overlying water and sediment in the RBOWB of this region. Compared with agricultural non-point source pollution, the concentrations of nitrogen and phosphorus pollutants in the overlying water with domestic sewage as the main source of pollution were 3.1 and 1.5 times higher than those of agricultural non-point source pollution, respectively. In addition, the contents of heavy metals in the sediments of RBOWB were generally lower than the soil element background value in Heze City. The dominant bacteria phyla in the sediments of the RBOWB were Proteobacteria, Actinobacteria, Chloroflexi, Firmicutes, and Acidobacteria, and the total abundance of these five dominant phyla accounted for 70.3%-83.6% of all sequences. The dominant classes were γ-Proteobacteria, α-Proteobacteria, Anaerolineae, and Actinobacteria. The dominant genera were Thiobacillus and Pseudarthrobacter. Moreover, Spearman correlation analysis showed that the environmental factors of DO, COD, TN, TP, and organic matter exerted significant effects(P<0.05) on sediment bacterial genera in RBOWB, and sediment bacterial community richness was significantly influenced by TN(P<0.05). The above results provided the microbiological knowledge for treating RBOWB.

Corrigendum to "Prognostic Factors for COVID-19 Hospitalized Patients with Preexisting Type 2 Diabetes".

[This corrects the article DOI: 10.1155/2022/9322332.].

Prognostic Factors for COVID-19 Hospitalized Patients with Preexisting Type 2 Diabetes.

BACKGROUND: Type 2 diabetes (T2D) as a worldwide chronic disease combined with the COVID-19 pandemic prompts the need for improving the management of hospitalized COVID-19 patients with preexisting T2D to reduce complications and the risk of death. This study aimed to identify clinical factors associated with COVID-19 outcomes specifically targeted at T2D patients and build an individualized risk prediction nomogram for risk stratification and early clinical intervention to reduce mortality. METHODS: In this retrospective study, the clinical characteristics of 382 confirmed COVID-19 patients, consisting of 108 with and 274 without preexisting T2D, from January 8 to March 7, 2020, in Tianyou Hospital in Wuhan, China, were collected and analyzed. Univariate and multivariate Cox regression models were performed to identify specific clinical factors associated with mortality of COVID-19 patients with T2D. An individualized risk prediction nomogram was developed and evaluated by discrimination and calibration. RESULTS: Nearly 15% (16/108) of hospitalized COVID-19 patients with T2D died. Twelve risk factors predictive of mortality were identified. Older age (HR = 1.076, 95% CI = 1.014-1.143, p=0.016), elevated glucose level (HR = 1.153, 95% CI = 1.038-1.28, p=0.0079), increased serum amyloid A (SAA) (HR = 1.007, 95% CI = 1.001-1.014, p=0.022), diabetes treatment with only oral diabetes medication (HR = 0.152, 95%CI = 0.032-0.73, p=0.0036), and oral medication plus insulin (HR = 0.095, 95%CI = 0.019-0.462, p=0.019) were independent prognostic factors. A nomogram based on these prognostic factors was built for early prediction of 7-day, 14-day, and 21-day survival of diabetes patients. High concordance index (C-index) was achieved, and the calibration curves showed the model had good prediction ability within three weeks of COVID-19 onset. CONCLUSIONS: By incorporating specific prognostic factors, this study provided a user-friendly graphical risk prediction tool for clinicians to quickly identify high-risk T2D patients hospitalized for COVID-19.

Risk Factors Associated With Clinical Outcomes in 323 Coronavirus Disease 2019 (COVID-19) Hospitalized Patients in Wuhan, China.

BACKGROUND: With evidence of sustained transmission in more than 190 countries, coronavirus disease 2019 (COVID-19) has been declared a global pandemic. Data are urgently needed about risk factors associated with clinical outcomes. METHODS: A retrospective review of 323 hospitalized patients with COVID-19 in Wuhan was conducted. Patients were classified into 3 disease severity groups (nonsevere, severe, and critical), based on initial clinical presentation. Clinical outcomes were designated as favorable and unfavorable, based on disease progression and response to treatments. Logistic regression models were performed to identify risk factors associated with clinical outcomes, and log-rank test was conducted for the association with clinical progression. RESULTS: Current standard treatments did not show significant improvement in patient outcomes. By univariate logistic regression analysis, 27 risk factors were significantly associated with clinical outcomes. Multivariate regression indicated age >65 years (P < .001), smoking (P = .001), critical disease status (P = .002), diabetes (P = .025), high hypersensitive troponin I (>0.04 pg/mL, P = .02), leukocytosis (>10 × 109/L, P < .001), and neutrophilia (>75 × 109/L, P < .001) predicted unfavorable clinical outcomes. In contrast, the administration of hypnotics was significantly associated with favorable outcomes (P < .001), which was confirmed by survival analysis. CONCLUSIONS: Hypnotics may be an effective ancillary treatment for COVID-19. We also found novel risk factors, such as higher hypersensitive troponin I, predicted poor clinical outcomes. Overall, our study provides useful data to guide early clinical decision making to reduce mortality and improve clinical outcomes of COVID-19.

Performance enhancement of a biofilter with pH buffering and filter bed supporting material in removal of chlorobenzene.

Acidic substances, which produced during chlorinated volatile organic compounds, will corrode the commonly used packing materials, and then affect the removal performance of biofiltration. In this study, three biofilters with different filter bed structure were established to treat gaseous chlorobenzene. CaCO3 and 3D matrix material was added in filter bed as pH buffering material and filter bed supporting material, respectively. A comprehensive investigation of removal performance, biomass accumulation, microbial community, filter bed height, voidage, pressure drops, and specific surface area of the three biofilters was compared. The biofilter with CaCO3 and 3D matrix material addition presented stable removal performance and microbial community, and greater biomass density (209.9 kg biomass/m3 filter bed) and growth rate (0.033 d-1) were obtained by using logistic equation. After 200 days operation, the height, voidage, pressure drop, specific surface area of the filter bed consisted of perlite was 27.4 cm, 0.39, 32.8 Pa/m, 974,89 m2/m3, while those of the filter bed with CaCO3 addition was 28.2 cm, 0.43, 21.3 Pa/m, and 1021.03 m2/m3, and those of the filter bed with CaCO3 and 3D matrix material addition was 28.7 cm, 0.55, 17.4 Pa/m, and 1041.60 m2/m3. All the results verified the biofilter with CaCO3 and 3D matrix material addition is capable of sustaining the long-term performance of biofilters. CaCO3 could limit the changes of removal efficiency, microbial community and filter bed structure by buffering the pH variation. And 3D matrix material could maintain the filter bed structure by supporting the filter bed, regardless of the buffering effect.

The Effect of Next-Generation TKI in Non-Small Cell Lung Cancer after Failure of First-Line Treatment: a Meta-Analysis.

Resistance develops against first-generation tyrosine kinase inhibitors (TKIs), which target the epidermal growth factor receptor (EGFR), after a while for non-small-cell lung cancer (NSCLC). Recently, researchers have developed specific inhibitors against them. Among those inhibitors, next-generation EGFR-TKIs have gained prominence due to the greater efficacy and more favorable tolerability. Today, the efficacy of next-generation EGFR-TKIs in patients with advanced NSCLC after failure on first-generation EGFR-TKIs still remains under investigation. The aim of this meta-analysis was to systematically assess the efficacy and safety profiles of next-generation EGFR-TKIs in advanced NSCLC after failure on first-generation EGFR-TKIs. We performed a comprehensive search of the several electronic databases to September, 2018 to identify clinical trials. The primary endpoint was overall survival (OS), progression-free survival (PFS), disease controlled rate (DCR), objective response rate (ORR), and adverse events (AEs). Severe adverse events (AEs) (grade ≥ 3) based on the EGFR-TKIs were analysed. Odds Ratio (OR) along with 95% confidence interval (95% CI) were utilized for the main outcome analysis. In total, we had 3 randomized controlled trials in this analysis. The group of next-generation EGFR-TKIs was significantly improved PFS (OR = 0.34,95%CI = 0.29-0.40, P < 0.00001), as well with the ORR (OR = 10.48,95%CI = 3.87-28.34, P < 0.00001) and DCR (OR = 6.03,95%CI = 4.41-8.25, P < 0.00001), respectively. However, there is no significant difference in overall survival with next-generation EGFR-TKIs (OR = 1.05,95%CI = 0.85-1.31, P = 0.66). While, the OR for the treatment-related AEs of grade 3 or 4 (diarrhoea, rash/acne, nausea, vomiting, anemia) between the patients who received next-generation EGFR-TKIs and chemotherapy did not show safety benefit (P>0.05). Next-generation EGFR-TKIs was shown to be the better agent to achieve higher response rate and the longer PFS in NSCLC patients as the later-line therapy for previously treated patients with first-generation EGFR-TKIs. While, the benefit of the OS and safety compared with the chemotherapy did not achieved. Further research is needed to develop a database of all EGFR mutations and their individual impact on the differing treatments.

Immature dendritic cell exosomes suppress experimental autoimmune myasthenia gravis.

Immature dendritic cell-derived exosomes (iMDEX) display a certain degree of immunosuppressive activity in autoimmune diseases. However, the role of iMDEX in experimental autoimmune myasthenia gravis (EAMG) is still unclear. Therefore, we tested the effects of mouse bone marrow (BM)-derived iMDEX on tolerance induction in a mouse model of EAMG. In this study, we found that the CELLine culture system produced more exosomes, the morphology and phenotype of these exosomes were found to be identical when compared with traditional cell culture. And, iMDEX(1000) ameliorated the progression of EAMG by reducing AChR-reactive lymphocyte proliferation, AChR antibody levels and pro-inflammatory cytokine levels.

Acoustic Emission Behavior of Early Age Concrete Monitored by Embedded Sensors.

Acoustic emission (AE) is capable of monitoring the cracking activities inside materials. In this study, embedded sensors were employed to monitor the AE behavior of early age concrete. Type 1-3 cement-based piezoelectric composites, which had lower mechanical quality factor and acoustic impedance, were fabricated and used to make sensors. Sensors made of the composites illustrated broadband frequency response. In a laboratory, the cracking of early age concrete was monitored to recognize different hydration stages. The sensors were also embedded in a mass concrete foundation to localize the temperature gradient cracks.

Human neuromelanin: an endogenous microglial activator for dopaminergic neuron death.

Substantial evidence indicates that neuroinflammation caused by microglial activation in substantia nigra is critical in the pathogenesis of dopaminergic neurodegeneration in Parkinson's disease (PD). Increasing data demonstrates that environmental factors such as rotenone, paraquat play pivotal roles in dopaminergic neuron death. Here, potential role and mechanism of neuromelanin (NM), a major endogenous component in dopaminergic neurons of substantia nigra, on microglial activation and associated dopaminergic neurotoxicity were investigated. Using multiple primary mesencephalic cultures, we found that HNM caused dopaminergic neurodegeneration characterized by the decreased dopamine uptake and reduced numbers and shorted dendrites. HNM was selectively toxic to dopaminergic neurons since the other types of neurons determined by either gamma-aminobutyric acid uptake and total neuronal numbers showed smaller decrease. HNM produced modest dopaminergic neurotoxicity in neuron-enriched cultures; in contrast, much greater neurotoxicity was observed in the presence of microglia. HNM morphologically activated microglia and produced proinflammatory and neurotoxic factors. Thus, HNM can be a potent endogenous activator of microglial reactivation, mediating PD progression. Hence, inhibition of microglial reactivation can be a useful strategy for PD therapy.

[CT imaging characteristics of incomplete and complete myocardial bridges-mural coronary artery].

OBJECTIVE: To evaluate the CT imaging characteristics of incomplete and complete myocardial bridges-mural coronary artery (MB-MCA). METHODS: Fifty subjects with dual source coronary CT angiography (DSCTA) evidenced MB were included. The subjects were divided into incomplete MB-MCA and complete MB-MCA groups. The diameter of MCA in best systole phase and diastole phase, the MCA stenosis rate, the presence of atheromatous change proximal to the MB were evaluated. RESULTS: There were 58 MB, the average length was (2.02 ± 1.02) cm, 23 were incomplete MB and 35 were complete MB. Thirty-two MB were in the middle segments of left anterior descending artery (55.2%); 17 MB were in the distal segment of the left anterior descending artery (29.3%); 1 MB was in the proximal segment of left anterior descending artery; 3 MB in diagonal branch; 4 MB in obtuse marginal branch, 1 MB in distal right coronary artery. It was statistically significant difference between the incomplete MB-MCA and the complete MB-MCA of the diameter change in diastole and systole phase [(1.93 ± 0.49) mm, (1.71 ± 0.45) mm vs. (2.21 ± 0.41) mm, (1.63 ± 0.52) mm, P = 0.008] and stenosis rate (10.38% ± 20.2% vs. 25.12% ± 21.02%, P = 0.01). Atherosclerotic finding was evidenced in 8 incomplete MB (34.78%) and 15 complete MB (42.86%) at the proximal vessel of mural coronary artery (P > 0.05). CONCLUSION: DSCTA can vividly display the incomplete and complete myocardial MB, accurately evaluate the shape change of MB-MCA in diastole and systole phase and detect the atherosclerotic change in the proximal vessel of MB.

Development of ELISA for metallothionein-II allows determination of heavy metal pollution of fresh water.

Metallothionein (MT), a metal-binding protein induced primarily by heavy metals in vertebrates, is considered a biomarker for environmental heavy-metal contamination. To investigate heavy metal pollution in the freshwater environment, MT-I and MT-II were purified from livers of crucian carp (Carassius carassius) by gel exclusion chromatography and ion exchange chromatography. To detect the purified MT-II, a specific monoclonal antibody (mAb) against crucian carp MT-II was produced from the hybridoma strains by cell-cell fusion. By using Enzyme-Linked Immunosorbent Assay (ELISA) with this mAb, the purified crucian carp MT-II was detected with a high specificity and sensitivity. There was a good correlation between the amount of MT-II in carp livers and the concentration of heavy metals in water. ELISA was then used to evaluated the degree of heavy metal pollution in two freshwater systems. The results indicate that the MT-II content in carp liver tissue can be used as an indicator of environmental heavy-metal pollution.

[Molecular cloning and identification and biological activity of GIF-interacting protein(s)].

In order to examine the elusive functional mechanism of GIF (Neuronal growth inhibitory factor, GIF) and elucidate the possible relationship between GIF and Alzheimer's disease, we constructed bait1 plasmid (pHyblex-GIF) by cloning GIF cDNA directly in frame with plasmid pHyblex, and used the yeast two-hybrid system to screen Alzheimer's disease human brain cDNA library and found the GIF-interacting proteins. The final results from coimmunoprecipitation and western blotting experiments confirmed that interacting proteins specifically binds to GIF. After sequencing the nucleotide of the putative positive plasmids and searching for homologues, we found that one of these is the part of human nuclear dUTPase protein sequence. Then the dUTPase genes are cloned into pGEX-4T-1, the fusion expression vector of GST,and highly expressed in E. coli BL21. The proteins dUTPase and GIF were purified and obtained by affinity chromatography, thrombin digestion and gel filtration on Sephacryl S100. It demonstrated that the proteins dUTPase and GIF had the growth inhibitory activity on co-cultured neuron in vitro. The inhibitory curve was very similar to the GIF. It's possible that dUTPase is one of the proteins interacting with GIF in Alzheimer's disease human brain extracts.

[Affection of metallothionein-3 to dUTPase's accommodating cellular toxicity of dUTP].

Metallothionein-3 (MT-3), renamed as growth inhibitory factor (GIF), is a brain specific member of the metallothionein family. Human dUTPase is a recently found protein in brain that can interact with hMT-3. They have the growth inhibitory activity on neuron cell by interaction. To study the affection of hMT-3 to dUTPase's eliminating the cellular toxicity caused by dUTP, the pSVHA-dUTPase and pFLag-hMT-3 genes have been transfected into HEK293 cells. In addition, the dUTPase and hMT-3 proteins were expressed in BL21 to study the role of hMT-3 on the hydrolyzation of dUTP by dUTPase. The results demonstrate that the cells co-transfected with dUTPase and hMT-3 genes have more strong resistibility to dUTP than the cells transfected only with dUTPase gene. And that the hMT-3 protein can accelerate the hydrolyzation of dUTP by dUTPase. All these indicate that hMT-3 can cooperate with dUTPase to protect better the 293 cells from dUTP. This research offered the theoretic elements for the application of hMT-3 and dUTPase in chemic cure.

[Functional di-domain of neuronal growth inhibitory factor].

Neuronal growth inhibitory factor (GIF), known also as metallothionein-III (MT-III), was the first validated to be capable of inhibiting growth of neuronal cells in nervous system, its beta-domain being functional. GIF functional di-domain (GIFbeta- beta) was constructed to study the structure and function of GIF. N terminal beta-domain and C terminal beta-domain cDNAs were amplified by PCR, inserted into vector pGEX-4T-1 and expressed in Escherichia coli, as carboxyl terminal extension of glutathione-S-transferase (GST), by IPTG induction. After digestion by thrombin, the fusion protein was isolated by passing through a glutathione-Sepharose 4B affinity chromatography column and was purified by gel fit ration on Sephacryl-S100. About 60 mg protein per liter of bacterial cell culture was achieved. The results of SDS-PAGE, amino acid composition, molecular mass, the ratio of metal/protein and sulfhydryl group/protein showed that the purified protein was the GIFbeta- beta. Circular dichroism (CD) spectroscopy show GIFbeta- beta has characteristic metal-sulfhydryl clusters of metallothionein family. Inhibitory activities detected by the MTT reduction assay are: GIF > GIFbeta-beta > GIF beta-domain.