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The construction of artificial grasslands using native species is an effective measure to restore degraded grassland. In this study, three native grass species, Elymus nutans , Elymus tangutorum and Poa albertii subsp. poophagorum, domesticated in the northern Tibetan Plateau were used as test subjects. Three monocultures of E. nutans, E. tangutorum and P. albertii subsp. poophagorum and four mixed combinations E. nutans +E. tangutorum , E. nutans +P. albertii subsp. poophagorum, E. tangutorum +P. albertii subsp. poophagorum and E. nutans + E. tangutorum + P. albertii subsp. poophagorum were set up, with 7 sowing types as the main zones, and nested fertilization and non-fertilization as the secondary zones. The optimal sowing combinations were selected to clarify the community growth dynamics of different grass pasture, and to investigate the transgressive overyielding and diversity effects of artificial grassland and the response of soil chemometrics to fertilizer application, with a view to providing a scientific basis for ecological restoration of degraded grassland in the northern Tibetan Plateau. The results show that the different sowing combinations of grassland all exhibit obvious dynamic population change in the growing season, with aboveground biomass peaking on 20 September. The type of E. nutans is the dominant community of the mixed combinations. The forage yield was highest in the combination, and the fertilization treatment significantly increased the forage yield. E. nutans + E. tangutorum + P. albertii subsp. poophagorum mixed sowing with fertilizer application is the recommended methodology to establish artificial grassland in the northern Tibetan Plateau. The relative yield totals of the mixed combinations were all greater than 1, and all were transgressive overyielding. Combined with the analysis of the distribution of soil ecological stoichiometric characteristics under fertilizer and non-fertilizer treatments, it was found that aboveground biomass and transgressive overyielding coefficients responded to soil ecological stoichiometry in completely different ways. Under the unfertilized treatment, soil C, N and P are regulated primarily through microbial stoichiometry under the resource dependence of soil dissolved nutrient stoichiometry, which affected aboveground of artificial grassland. Under the fertilizer treatment, microbially mediated extracellular enzyme stoichiometry was dynamically changing to regulate the new substrate environmental supply and demand balance derived from fertilizer application. Future studies should examine the long-term impacts of these combinations across diverse environments by integrating complementary restoration techniques to improve artificial grassland sustainability, thereby offering scientific support for regional ecological restoration efforts.

MgO nanoparticles have good As-adsorption capacity in treating As-contaminated wastewater but suffer from high production cost. In this study, instead of using pre-formed MgO nanoparticles, we found that in-situ formed Mg(OH) 2 from MgCl 2 and NaOH reaction exhibited super high arsenate (As(V)) removal efficiency. Only 1.5 mmol/L of in-situ formed Mg(OH) 2 could remove more than 95% As(V) within 10 min to make the As contaminated water (10 mg-As(V)/L) meet the municipal wastewater treatment standard, whereas MgO nanoparticles failed. The Mg-As sludge has an amorphous crystal structure while no Mg(OH) 2 phase could be observed. As(V) existed uniformly within the sludge which was confirmed by elemental mapping. A precipitation-adsorption-coagulation mechanism might exist, which could relieve the restriction of limited surface area of solid MgO adsorbents. This study not only reveals an applicable method for efficient removal of trace level As(V) from water but also implies the huge potential of in-situ formed adsorbents in water treatment.

Mental health after acute myocardial infarction (AMI) influences the prognosis of patients. Resilience may contribute to improving a patient’s mental health. However, no study has investigated resilience and its associated factors in young and middle-aged patients undergoing emergency percutaneous coronary intervention (PCI) after the first AMI. This study aimed to identify critical associated factors influencing resilience in these patients. This cross-sectional study recruited 161 young and middle-aged patients with first-episode AMI using a purposive sampling method. These patients were assessed 48 h after emergency PCI using the General Information Questionnaire, the Connor—Davidson Resilience Scale—10, the Perceived Social Support Scale, the General Self-Efficacy Scale, and the Post-traumatic Stress Disorder Scale Civilian Version. Stepwise and logistic regression were conducted to analyze the factors influencing resilience. Receiver operating characteristics (ROC) were used to compare the area under the curves (AUC) for each indicator. The resilience of the 161 participants was 29.50 ± 4.158. Monthly household income, self-efficacy, social support, and post-traumatic stress disorder explained 51.4% of the variance in resilience. Self-efficacy ( OR 0.716, CI 0.589–0.870, P  < 0.01) and social support (OR 0.772, CI 0.635–0.938, P  < 0.01) were protective factors for psychological resilience, while post-traumatic stress disorder (OR 1.278, CI 1.077–1.515, P  < 0.01) was a risk factor. ROC curve revealed that self-efficacy, social support, and PTSD had an AUC of 0.822, 0.855, and 0.889, respectively. Self-efficacy and social support improve, and PTSD degrades psychological resilience in young and middle-aged AMI patients undergoing emergency PCI.

Eucommia ulmoides Oliver staminate flower (ESF) tea enjoys a good reputation in folk medicine and displays multiple bioactivities, such as antioxidant and antifatigue properties. However, the underlying biological mechanisms remain largely unknown. In this study, we aimed to investigate whether ESF tea can mitigate cellular oxidative stress. Crude ethyl alcohol extract and its three subfractions prepared by sequential extraction with chloroform, n-butyl alcohol and residual water were prepared from ESF tea. The results of antioxidant activity tests in vitro manifested n-butyl alcohol fraction (n-BUF) showed the strongest antioxidant capacity (DPPH: IC50 = 24.45 ± 0.74 μg/mL, ABTS: IC50 = 17.25 ± 0.04 μg/mL). Moreover, all subfractions of ESF tea, especially the n-BUF, exhibited an obvious capacity to scavenge the reactive oxygen species (ROS) and stimulate the NRF2 antioxidative response in human keratinocytes HaCaT treated by H2O2. Using ultra-high-performance liquid chromatography, we identified geniposidic acid (GPA) as the most abundant component in ESF tea extract. Furthermore, it was found that GPA relieved oxidative stress in H2O2-induced HaCaT cells by activating the Akt/Nrf2/OGG1 pathway. Our findings indicated that ESF tea may be a source of natural antioxidants to protect against skin cell oxidative damage and deserves further development and utilization.

In this study, we explore poly(vinylidene fluoride) (PVDF) filled with the core–shell nanofillers of silicon dioxide-coated β -silicon carbide whisker ( β -SiC w @SiO 2 ), and investigate the effects of core–shell structure and shell thickness on the composite thermal and dielectric properties. The formation of an insulating SiO 2 layer can not only substantially reduce the dielectric loss of polymer composites but also suppress their dielectric constant ( k ). Further increasing shell thickness continues inhibiting the dielectric loss while rendering the k nearly unaffected. We attribute the underlying mechanism to the different effects of shell thickness on long-range and short-range charge migration. In addition to the constraint on charge transport, the SiO 2 shell improves the filler–polymer interfacial compatibility and therefore leads to a large improvement in the thermal conductivity (TC) of the composites. The synthesized core–shell fillers afford high k and enhanced TC as well as low loss in the composites, which would enable a wide range of applications in dielectric and electrical fields.

Recently, urban waterlogging prevention and treatment of black–odorous rivers have become a social concern and the upgradation of drainage system and the development of river runoff pollution control projects have accelerated. The use of deep tunnels to upgrade old drainage systems and achieve pollution control-related engineering designs has complicated the drainage system operation control. The traditional operation control mainly relies on human experience or model simulation. This study provides a perspective of machine learning for controlling the operation of the drainage system and exploring whether the operation suggestions regarding facilities in this system can be given in real time while relying only on real-time data and avoiding the complex model simulation process. Herein, five drainage systems were used as examples: the initial water level of a pipeline, key point water level flow, pump station front pool water level, and most unfavorable point water level were selected as relevant variables and four machine-learning discrimination methods were used for to analyze the weir-lowering operation of a deep tunnel. This study found that the average error rate of the linear discrimination method was <10%, thereby exhibiting satisfactory performance. This study provides insights for improving the operation of complex drainage systems.

Background Hepatocellular carcinoma (HCC) is the third-most deadly cancer worldwide. More breakthroughs are needed in the clinical practice for liver cancer are needed, and new treatment strategies are required. This study aims to determine the significant differences in genes associated with LIHC and further analyze its prognostic value further. Methods Here, we used the TCGA-LIHC database and the profiles of GSE25097 from GEO to explore the differentially co-expressed genes in HCC tissues compared with paratumor (or healthy) tissues. Then, we utilized WGCNA to screen differentially co-expressed genes. Finally, we explored the function of FYN in HCC cells and xenograft tumor models. Results We identified ten hub genes in the protein–protein interaction (PPI) network, but only three ( COLEC10, TGFBR3 , and FYN ) appeared closely related to the prognosis. The expression of FYN was positively correlated with the prognosis of HCC patients. The xenograft model showed that overexpression of FYN could significantly inhibit malignant tumor behaviors and promote tumor cell apoptosis. Conclusion Thus, FYN may be central to the development of LIHC and maybe a novel biomarker for clinical diagnosis and treatment.

An insulating interlayer between polymer and conductive particles is crucial for suppressing the dissipation factors ( tanδ ) of composites. In order to restrain the large tanδ of molybdenum (Mo) particles/poly(vinylidene fluoride) (PVDF) composites while still holding a high dielectric permittivity ( ε r ) close to the filler’ percolation threshold ( f c ), Mo particles were first encapsulated with a layer of molybdenum trioxide (MoO 3 ) shell through a facile direct thermal oxidation method at 600 °C, and then were compounded into PVDF. The influences of the MoO 3 coating on dielectric properties of the Mo/PVDF composites were investigated in terms of filler loading, the shell thickness and frequency. The results suggest that both the calcination time and the filler loading remarkably affect the dielectric properties of the composites. The Mo@MoO 3 /PVDF composites exhibit high ε r but much low tanδ compared with raw Mo/PVDF because the semi-conductor MoO 3 shell effectively prevents the raw Mo particles from connecting with each other thereby leading to enormously suppressed loss and leakage current even at high filler loadings >  f c . With further increasing the interlayer thickness both the dielectric loss and conductivity decline accordingly thanks to the gradually pronounced suppression effect. The resulting Mo@MoO 3 /PVDF composites possessing the high ε r but low tanδ could be the ideal dielectric materials for potential applications in microelectronics and electrical industry.

Background Acute-on-chronic liver failure (ACLF) is characterized by a systemic inflammatory response, predominantly associated with hepatitis B virus in the Asia-Pacific region, with a high short-term mortality rate. The platelet to high-density lipoprotein ratio (PHR) has been used to predict the prognosis of patients with various inflammatory diseases. We aim to is to use the PHR to predict the short-term prognosis of patients with HBV-ACLF. Method In this study, we retrospectively analyzed clinical data from 270 HBV-ACLF patients. Using logistic regression, we identified independent risk factors for short-term mortality and developed a prognostic model. This model was then validated, compared, and its clinical utility assessed via decision curve analysis (DCA). Results Among the 270 HBV-ACLF patients, 98 patients died within 28 days. The deceased group exhibited a higher proportion of severe hepatic encephalopathy and ascites. Additionally, there was a statistically significant difference ( P  = 0.046) in the novel inflammation scoring system, PHR, between the two groups. Following stringent variable selection, PHR was identified as a predictive factor for short-term mortality in HBV-ACLF patients using logistic regression analysis (OR: 0.835 (0.756–0.999), P  = 0.009), and it exhibited a synergistic effect with certain traditional scores. The prognostic model constructed based on PHR demonstrated a superior ability to predict short-term mortality compared to traditional scores such as Child-Turcotte-Pugh (AUC: 0.889). Evaluation using calibration curves and decision curve analysis (DCA) suggested its practical utility. Conclusion PHR can predict short-term mortality in patients, with a low PHR upon admission being associated with an increased risk of death.

Selaginellaceae is a family of nonseed plants with special evolutionary significance. Plants of the family Selaginellaceae are similarly shaped and easily confused, complicating identification via traditional methods. This study explored, for the first time, the use of the DNA barcode ITS2 to identify medicinal plants of the Selaginellaceae family. In our study, 103 samples were collected from the main distribution areas in China; these samples represented 34 species and contained almost all of the medicinal plants of Selaginellaceae. The ITS2 region of the genome was amplified from these samples and sequenced using universal primers and reaction conditions. The success rates of the PCR amplification and sequencing were 100%. There was significant divergence between the interspecific and intraspecific genetic distances of the ITS2 regions, while the presence of a barcoding gap was obvious. Using the BLAST1 and nearest distance methods, our results proved that the ITS2 regions could successfully identify the species of all Selaginellaceae samples examined. In addition, the secondary structures of ITS2 in the helical regions displayed clear differences in stem loop number, size, position, and screw angle among the medicinal plants of Selaginellaceae. Furthermore, cluster analysis using the ITS2 barcode supported the relationship between the species of Selaginellaceae established by traditional morphological methods. The ITS2 barcode can effectively identify medicinal plants of Selaginellaceae. The results provide a scientific basis for the precise identification of plants of the family Selaginellaceae and the reasonable development of these resources. This study may broaden the application of DNA barcoding in the medicinal plant field and benefit phylogenetic investigations.