FeNbO4 nanochains with a five-electron transfer reaction toward high capacity and fast Li storage.

High capacity and outstanding rate performance of the FeNbO4 nanochain anode with both intercalation and conversion reactions for lithium-ion batteries are demonstrated. The unique one-dimensional structure and intercalation pseudocapacitive behavior of FeNbO4 accelerate the reaction kinetics. In situ X-ray diffractometer measurement confirms a five-electron transfer mechanism for Li storage.

CCUS development in China and forecast its contribution to emission reduction.

Nowadays environmental issues have been of great concern to the world, among which the problem of global warming caused by greenhouse gas emissions is particularly prominent. All countries in the Kyoto Protocol and the Paris Agreement have committed to control greenhouse gas emissions, and China, as the largest carbon emitter, has assumed a heavier burden. China has been striving to develop low-carbon technologies such as hydrogen, nuclear, wind, and solar energy, but the most attention should be paid to CCUS, which many scholars have high expectations that CCUS can help China reduce emissions to some extent. Therefore, this paper presents a prediction that CCUS can reduce 3.8% of carbon emissions for China in 2040 when CCUS emission reductions increase at a rate of 30%. The power and chemical industries could reduce carbon emissions by 2.3% and 17.3%, respectively.

The expression of CD86 in CD3+CD56+ NKT cells is associated with the occurrence and prognosis of sepsis-associated encephalopathy in sepsis patients: a prospective observational cohort study.

The role of CD3+CD56+ natural killer T (NKT) cells and its co-signaling molecules in patients with sepsis-associated encephalopathy (SAE) is unknown. In this prospective observational cohort study, we initially recruited 260 septic patients and eventually analyzed 90 patients, of whom 57 were in the SAE group and 37 were in the non-SAE group. Compared to the non-SAE group, 28-day mortality was significantly increased in the SAE group (33.3% vs. 12.1%, p = 0.026), while the mean fluorescence intensity (MFI) of CD86 in CD3+CD56+ NKT cells was significantly lower (2065.8 (1625.5 ~ 3198.8) vs. 3117.8 (2278.1 ~ 5349), p = 0.007). Multivariate analysis showed that MFI of CD86 in NKT cells, APACHE II score, and serum albumin were independent risk factors for SAE. Furthermore, the Kaplan-Meier survival analysis indicated that the mortality rate was significantly higher in the high-risk group than in the low-risk group (χ2 = 14.779, p < 0.001). This study showed that the decreased expression of CD86 in CD3+CD56+ NKT cells is an independent risk factor of SAE; thus, a prediction model including MFI of CD86 in NKT cells, APACHE II score, and serum albumin can be constructed for diagnosing SAE and predicting prognosis.

Linker Engineering of Sandwich-Structured Metal-Organic Framework Composites for Optimized Photocatalytic H2 Production.

While the microenvironment around catalytic sites is recognized to be crucial in thermocatalysis, its roles in photocatalysis remain subtle. In this work, a series of sandwich-structured metal-organic framework (MOF) composites, UiO-66-NH2 @Pt@UiO-66-X (X means functional groups), is rationally constructed for visible-light photocatalytic H2 production. By varying the ─X groups of the UiO-66-X shell, the microenvironment of the Pt sites and photosensitive UiO-66-NH2 core can be simultaneously modulated. Significantly, the MOF composites with identical light absorption and Pt loading present distinctly different photocatalytic H2 production rates, following the ─X group sequence of ─H > â”€Br > â”€NA (naphthalene) > â”€OCH3  > â”€Cl > â”€NO2 . UiO-66-NH2 @Pt@UiO-66-H demonstrates H2 production rate up to 2708.2 µmol g-1  h-1 , ≈222 times that of UiO-66-NH2 @Pt@UiO-66-NO2 . Mechanism investigations suggest that the variation of the ─X group can balance the charge separation of the UiO-66-NH2 core and the proton reduction ability of Pt, leading to an optimal activity of UiO-66-NH2 @Pt@UiO-66-H at the equilibrium point.

Analysis of the Coupling Effect and Space-Time Difference between China's Digital Economy Development and Carbon Emissions Reduction.

Previously conducted studies have established that the digital economy has a one-way inhibition effect on carbon emissions. Against this background, this paper aims to analyze the coordinated development effect of the interaction between the digital economy and carbon emissions reduction. The entropy weight method, coupling and coordination degree model, Dagum Gini coefficient and Moran's I index have been carried out as research methods in this paper. The results showed that: (1) The coupling and coordination of China's digital economy and carbon emissions reduction shows an overall growth trend, but the coupling and coordination among regions, provinces and cities show a large imbalance. (2) In the sample period, the overall difference in the coupling and coordination between digital economy development and carbon emissions reduction shows an expanding trend, and the overall difference results are attributed to regional differences. (3) There is a significant spatial correlation in the coupling and coordination degree of digital economy development and carbon emissions reduction among cities. The paper systematically grasps the status of coupling and coordination development, the source of difference and spatial correlation between the digital economy and carbon reduction in Chinese cities. A dependence relationship has been established, which is digital economy development and carbon emissions reduction, and an interactive promotion pattern has been revealed between the digital economic system and the carbon emissions reduction system.

Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China.

Driven by the information technology revolution, using artificial intelligence to promote intelligent manufacturing while achieving carbon emissions reduction is increasingly the focus of international attention. Given this, based on the fact that China's industrial manufacturing is more intelligent, this paper uses industrial sector data and robot data from 2000 to 2017 to examine the impact of intelligent manufacturing on industrial carbon dioxide emissions and to discuss its internal mechanism. The research found that intelligent manufacturing significantly inhibits carbon dioxide emissions in the industrial sectors. The emission reduction effect is more obvious in industries with higher carbon emissions and intelligence. The mechanism test shows that intelligent manufacturing mainly achieves industrial emission reduction by reducing fossil energy consumption in the production process and improving energy use efficiency. The research findings of this paper provide favorable evidence for using new technologies, such as artificial intelligence, to achieve carbon emissions reduction, and validate the importance of intelligent manufacturing in tackling climate change in the future. It provides an essential reference for developing countries to use artificial intelligence for their carbon emissions reduction goals.

Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders.

Objectives: To develop and validate a predictive nomogram for idiopathic rapid eye movement (REM) sleep behavior disorder (RBD) in a community population in Beijing, China. Methods: Based on the validated RBD questionnaire-Hong Kong (RBDQ-HK), we identified 78 individuals with possible RBD (pRBD) in 1,030 community residents from two communities in Beijing. The least absolute shrinkage and selection operator (LASSO) regression was applied to identify candidate features and develop the nomogram. Internal validation was performed using bootstrap resampling. The discrimination of the nomogram was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, and the predictive accuracy was assessed via a calibration curve. Decision curve analysis (DCA) was performed to evaluate the clinical value of the model. Results: From 31 potential predictors, 7 variables were identified as the independent predictive factors and assembled into the nomogram: family history of Parkinson's disease (PD) or dementia [odds ratio (OR), 4.59; 95% confidence interval (CI), 1.35-14.45; p = 0.011], smoking (OR, 3.24; 95% CI, 1.84-5.81; p < 0.001), physical activity (≥4 times/week) (OR, 0.23; 95% CI, 0.12-0.42; p < 0.001), exposure to pesticides (OR, 3.73; 95%CI, 2.08-6.65; p < 0.001), constipation (OR, 6.25; 95% CI, 3.58-11.07; p < 0.001), depression (OR, 3.66; 95% CI, 1.96-6.75; p < 0.001), and daytime somnolence (OR, 3.28; 95% CI, 1.65-6.38; p = 0.001). The nomogram displayed good discrimination, with original AUC of 0.885 (95% CI, 0.845-0.925), while the bias-corrected concordance index (C-index) with 1,000 bootstraps was 0.876. The calibration curve and DCA indicated the high accuracy and clinical usefulness of the nomogram. Conclusions: This study proposed an effective nomogram with potential application in the individualized prediction for pRBD.

[Panax notoginseng: a review on chemical components, chromatographic analysis, P. notoginseng extracts, and pharmacology in recent five years].

As a famous and precious Chinese medicinal material, Panax notoginseng(PN) has been commonly used for a long history in China. As reported, PN exhibits significant pharmacological actions in protecting cardiocerebral vascular system and nervous system and suppressing tumors. In recent years, with the innovation in ideas, as well as the development of methods and equipment, PN has been extensively investigated, and notable progress has been made. This paper reviewed the advancements of PN in recent five years from chemical components, chromatographic analysis, P. notoginseng extracts, and pharmacology, in which the application of PN extracts in quality control was first summarized. The present study aims to provide a theoretical basis for quality control, product development, and rational medication of PN.

Corrigendum: Systematic Characterization and Identification of Saikosaponins in Extracts From Bupleurum marginatum var. stenophyllum Using UPLC-PDA-Q/TOF-MS.

[This corrects the article DOI: 10.3389/fchem.2021.747987.].

Design and application of virtual simulation teaching system for performance testing of magnetic resonance imaging equipment / 中华医学教育探索杂志

Objective:To solve the difficult problem of experimental teaching of MRI equipment by independently designing a virtual simulation teaching system for performance testing of medical magnetic resonance imaging (MRI) equipment.Methods:A total of 202 students of Batch 2016 majoring in 4-year medical imaging technology and 5-year medical imaging of Binzhou Medical University. According to the teaching requirements of MRI equipment in Medical Imaging Equipment Science, a 3D experimental simulation model and experimental scenes were established based on Unity3D engine by using Unity3D, 3D Studio Max, Maya and Visual Studio technology to design experimental learning content and assessment content, develop the teaching system software and perform Web-based online learning. Then, the satisfaction survey on experimental learning was conducted, the statistics of the experimental results of the teaching system on the national virtual simulation experiment teaching platform was collected and the learning effects were evaluated in multiple dimensions. Results:The virtual simulation teaching system was a comprehensive experiment with 12 knowledge points, 12 experimental items and a total of 81 interactive contents and steps. The overall satisfaction rate of 202 students in our school was 96.82%(2 347/2 424). Among the 499 subjects who participated in the learning of the teaching system on the national virtual simulation experiment teaching platform and submitted the experimental report, the average score of the experiment was 78.07 points (the full score of online learning assessment was 90 points), and the overall passing rate was 96.79%(483/499). The average learning time of the 18 students who got 90 points was 54 min.Conclusion:This virtual simulation teaching system possesses comprehensive experimental contents with high fidelity of experimental scenes and strong interactivity of experimental operation, prospecting great learning effects and promotion value.

Systematic Characterization and Identification of Saikosaponins in Extracts From Bupleurum marginatum var. stenophyllum Using UPLC-PDA-Q/TOF-MS.

Saikosaponins comprise a large group of chemical components present in the Bupleurum species that have attracted attention in the field of medicine because of their significant biological activities. Due to the high polarity, structural similarity, and the presence of several isomers of this class of components, their structural identification is extremely challenging. In this study, the mass spectrometric fragmentation pathways, UV spectral features, and chromatographic behavior of different types of saikosaponins were investigated using 24 standard substances. Saikosaponins containing carbonyl groups (C=O) in the aglycone produced fragment ions by loss of 30 Da, and in addition, type IV saikosaponins could produce [aglycone-CH2OH-OH-H]- and [aglycone-H2O-H]- fragment ions through neutral losses at positions C16 and C17. The above characteristic ions can be used to identify saikosaponins. More notably, the identification process of saikosaponins was systematically summarized, and using this method, 109 saikosaponins were identified or tentatively characterized from the saikosaponins extract of Bupleurum marginatum var. stenophyllum (BMS) using UPLC-PDA-Q/TOF-MS with both data-dependent acquisition (DDA) and data-independent acquisition (DIA) modes, of which 25 were new compounds and 60 were first discovered from BMS. Further studies revealed that the saikosaponins profiles of BMS, Bupleurum chinense DC (BC), and Bupleurum marginatum Wall. ex DC (BMW) were very similar. This work is of great significance for the basic research of the Bupleurum species and provides strong technical support to solve the resource problems associated with Radix Bupleuri.

[Effects of soil moisture on microbial processes of soil nitrogen gases production under anaerobic conditions]. / 土壤水分对土壤产生气态氮的厌氧微生物过程的影响.

Gaseous nitrogen (N) emission [nitric oxide (NO), nitrous oxide (N2O), and nitrogen (N2)] is an important pathway of soil N loss. Nitrification and denitrification are the main processes of gaseous N production in soil. However, the contribution of heterotrophic nitrification, co-denitrification, and anammox to gaseous N production remains uncertain. In a laboratory soil incubation experiment, we used the 15N labelling and pairing technique, combining the nitrification inhibitor dicyandiamide (DCD), to quantify the contribution of different microbial processes to soil NO, N2O and N2 production under anaerobic conditions. The results showed that after 24 h anaerobic incubation, the highest total 15N recovery of three gases occurred at 65% water filled pore space (WFPS), accounting for 20.0% of total added 15N. Denitrification contributed 49.9%-94.1%, 29.0%-84.7%, and 58.2%-85.8% to the production of NO, N2O and N2 respectively, suggesting that denitrification was the predominant process of those three N gases emission. Heterotrophic nitrification was an important pathway of NO and N2O production, particularly at conditions with low soil water content (10% WFPS), with its contribution to those two N gases production being 50.1% and 42.8%, respectively. Co-denitrification contributed 10.6%-30.7% of N2O production. For N2 production, the total contribution of co-denitrification and anammox was 14.2%-41.8%. The role of co-denitrification can not be ignored for N2O and N2 production. Our results demonstrated that the 15N labelling and pairing technique is a promising tool to quantify the contribution of different microbial processes to gaseous N loss.

Oxygen vacancies boosted the electrochemical kinetics of Nb2O5-x for superior lithium storage.

The introduction of oxygen vacancies (OVs) into Nb2O5 can not only provide more active sites for lithium storage but also change the electronic structure of Nb2O5 to boost electron/ion transport kinetics. Consequently, the defective Nb2O5-x exhibits high lithium storage capacity, superior rate capability, and cycling stability.

Ligustroflavone ameliorates CCl4-induced liver fibrosis through down-regulating the TGF-ß/Smad signaling pathway.

Liver fibrosis is a pathological process characterized by excess deposition of extracellular matrix (ECM) that are mainly derived from activated hepatic stellate cells. Previous studies suggested that ligustroflavone (LF) was an ingredient of Ligustrum lucidum Ait. with activities of anti-inflammation and anti-oxidation. In this study, we investigated whether LF had any effect on liver fibrosis. In our study, we established a mouse model of carbon tetrachloride (CCl4)-induced liver fibrosis and used TGF-ß1-stimulated human hepatic stellate cell line (LX-2) to explore the effect of LF and associated underlying mechanism. LF was used in vivo with low dose (L-LF, 5 mg·kg-1, i.p., 3 times each week) and high dose (H-LF, 20 mg·kg-1, i.p., 3 times each week) and in vitro (25 µmol·L-1). Histopathological and biochemical assays investigations showed that LF delayed the formation of liver fibrosis; decreased AST, ALT activities and increased Alb activity in serum; decreased MDA level, Hyp content and increased GSH-Px concentration, SOD activity in liver tissues. Moreover, immunohistochemical, immunofluorescent and Western blot results showed that LF reduced the expressions of hepatic stellate cells specific marker proteins, including collagen I and α-SMA in vivo and in vitro. In addition, LF markedly suppressed TGF-ß1-upregulated protein expressions of TßR I, TßR II, P-Smad2, P-Smad3 and Smad4 in LX-2 cells. Taken together, these findings demonstrated LF could decrease histopathological lesions, ameliorate oxidative injury, attenuate CCl4-induced liver fibrosis, which may be associated with down-regulating the TGF-ß/Smad signaling pathway.

Hypercapnia promotes microglial pyroptosis via inhibiting mitophagy in hypoxemic adult rats.

BACKGROUND: Hypoxemia is a typical symptom of acute respiratory distress syndrome. To avoid pulmonary morbidity, low tidal volume ventilation is often applied. The ventilation strategy will certainly cause hypercapnia. This study aimed to explore whether hypercapnia would promote microglial pyroptosis via inhibiting mitophagy in adult rats with hypoxemia. METHODS: The cerebral oxygen extraction ratio (CERO2 ) and partial pressure of brain tissue oxygen (PbtO2 ) in a rat model of hypercapnia/hypoxemia were assessed. The reactive oxygen species (ROS) production and the expression of LC3-II/I, p62, caspase-1, gasdermin D-N domains (GSDMD-N), IL-1ß, and IL-18 in microglial cells were detected. RESULTS: Hypercapnia decreased the PbtO2 levels of the hypoxic rats, which was further evidenced by the increased levels of CERO2 . Expression levels of LC3-II were reduced, while p62 expression was increased by hypercapnia in hypoxic microglia. Hypercapnia increased the production of ROS and the expression of caspase-1, GSDMD-N, IL-1ß, and IL-18 in hypoxia-activated microglia. Scavenging ROS inhibited microglial pyroptosis and expression of IL-1ß and IL-18. CONCLUSIONS: These results suggest that hypercapnia-induced mitophagy inhibition may promote pyroptosis and enhance IL-1ß and IL-18 release in hypoxia-activated microglia.

Tunability in the Optical and Electronic Properties of ZnSe Microspheres via Ag and Mn Doping.

ZnSe microspheres with various Ag and Mn doping levels were prepared by the hydrothermal method using Zn(NO3)2·6H2O and Na2SeO3 as precursors and N2H4·H2O as the reducing agent. The effects of Ag and Mn doping on the phase composition, morphology, and optical and electrical properties of the final products were systematically investigated. A remarkable change in morphology from microspheres with a cubic sphalerite structure to rodlike structure was observed by Ag doping, while the pristine structure was nearly unchanged via Mn doping. Moreover, the band gap of ZnSe microspheres could be tunable in a broad range via controlling the Ag and Mn doping concentration, and ZnSe with high electrical properties could be obtained by doping with an appropriate concentration. The first-principle plane-wave method was carried out to explain the above mentioned experimental results.

Anesthetic management of a patient with an unusual broken tracheostomy tube: a case report.

OBJECTIVE: This study was performed to investigate the management of general anesthesia in an unusual case involving a patient with a broken tracheostomy tube presenting as an airway foreign body. METHODS: We herein describe the anesthetic management of a patient with a broken tracheostomy tube. A 77-year-old Chinese man who had been involved in a car accident underwent a tracheostomy. One year later, he presented with cough and bleeding at the tracheostomy site. Preoperative evaluation revealed that the metal tracheostomy tube was lodged in his left main bronchus. General anesthesia was induced to maintain spontaneous breathing, and adequate topical anesthesia of the airway was administered. RESULTS: The metal tracheostomy tube was successful removed, and a new tracheal tube was put in place. CONCLUSIONS: General anesthesia to maintain spontaneous breathing and adequate topical anesthesia of the airway can be safely used when removing broken tracheostomy tubes.

Topical delivery of 3,5,4'-trimethoxy-trans-stilbene-loaded microemulsion-based hydrogel for the treatment of osteoarthritis in a rabbit model.

The aim of this study was to develop a microemulsion-based hydrogel (MBH) formulation of 3,5,4'-trimethoxy-trans-stilbene (BTM) as topical delivery system for the treatment of osteoarthritis (OA). The pseudo-ternary phase diagrams were constructed to optimize the microemulsion (ME) formulation. The ME formulation containing 18.8% Cremopher EL35 (surfactant), 9.4% Transcutol HP (co-surfactant), 3.1% LABRAFIL M 1944 CS (oil), and 68.7% water was selected. The obtained BTM-loaded ME (BTM-ME) had a spherical morphology (17.5 ± 1.4 nm), with polydispersity index (PDI) value of 0.068 ± 0.016 and zeta potential of - 11.8 ± 0.5 mV, and was converted into BTM-loaded MBH (BTM-MBH) using Carbopol 940. Ex vivo skin permeation study showed that both ME and MBH formulations significantly enhanced the amount of BTM permeated. The cumulative amount of BTM permeated after 12 h (Q12) for ME, and MBH formulations were 3.25- and 1.96-fold higher than that for emulsion gel (EG). Pharmacokinetic study showed that the AUC of BTM suspension (oral) was three times higher than that of BTM-MBH (topical). Topical delivery of BTM-MBH demonstrated remarkable anti-OA effect in a rabbit model of OA induced by papain, with decreased levels of pro-inflammatory cytokines. The developed MBH formulation might be a promising strategy for topical delivery of BTM for treatment of OA.

[Study of isobutyrylshikonin inhibiting proliferation of colon carcinoma cells through PI3K/Akt/m-TOR pathway].

To investigate the inhibitory effect of isobutyrylshikonin on the growth of human colon carcinoma cells in vitro and its effect on the PI3K/Akt/m-TOR pathway. MTT assay was used to detect the inhibitory effect of different concentrations (0, 6.25, 12.5, 25, 50, 100 mg·L⁻¹) of isobutyrylshikonin on the proliferation of human colon carcinoma cell HT29 at 24, 48 h. CCK-8 method was used to detect the inhibitory effect of isobutyrylshikonin on HT29, HCT116, DLD-1 and Caco-2 at 48 h. AnnexinV/propidium iodide staining was applied in detecting the apoptoticrate of HT29 cells treated with different concentrations of isobutyrylshikonin at 24 h and 48 h. Cycletest plus DNA was employed to analyze HT29 apoptosis and cell cycle after 48 h treatment with isobutyrylshikonin at different concentrations. Western blot and RT-PCR assay were used to examine the protein and mRNA expressions of PI3K, p-PI3K, Akt, p-Akt and m-TOR. The results showed that isobutyrylshikonin inhibited the proliferation of different human colon carcinoma cells, and the inhibition rate was in a dose-dependent manner. Isobutyrylshikonin induced apoptosis mainly in the early stage and blocked cells in the G0/G1 or G2/M phase. Isobutyrylshikonin reduced the protein expressions of PI3K, p-PI3K, Akt, p-Akt, m-TOR and the mRNA expressions of PI3K, Akt, m-TOR in a dose-dependent manner. Isobutyrylshikonin can significantly inhibit the proliferation, induce the early apoptosis and change the cycle distribution in colon carcinoma cells.This biological effect may be correlated with the inhibition of PI3K/AKT/m-TOR pathway.