Purpose: Gephyrin (GPHN) is an essential protein in the regulation of inhibitory postsynaptic density and polymorphism in the corresponding gene may have a role in the development of pharmacoresistant epilepsy (PRE). ...
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Purpose: Gephyrin (GPHN) is an essential protein in the regulation of inhibitory postsynaptic density and polymorphism in the corresponding gene may have a role in the development of pharmacoresistant epilepsy (PRE). For the first time, we aimed to evaluate the association of rs928553T/c variants with PRE susceptibility. Moreover, we have analyzed the genetic polymorphism affecting cYP2c9 "rs12782374G/A" in the same population to detect the effect of SNP on the drug-metabolizing ability of patients with PRE. Patients and Methods: This case-control study enrolled 100 patients (group A) and 100 healthy, age and sex-matched controls, unrelated to patients (group B). TaqManTM assays using real-time PcR were run for genotyping of rs928553T/c and rs12782374G/A in all participants. Results: GPHN T>c polymorphism revealed significant risk association with occurrence of PRE using dominant, recessive and codominant models as follows: TT vs (Tc+cc): OR 0.23, 95%cI: 0.13-0.43, P<0.001. In addition, (TT+Tc vs cc): OR 0.38, 95%cI: 0.18-0.77, P<0.001. Also, T vs c (OR 0.34, 95%cI: 0.22-0.51, P=<0.001). Similarly, cYP2c9 G>A polymorphism showed a significant increased risk of PRE (GG vs (GA+AA): OR 0.11, 95% cI: 0.05-0.23, P<0.001). Furthermore, (GG+GA vs AA): OR 0.18, 95%cI: 0.084-0.39, P<0.001. Also, G vs A (OR 0.24, 95%cI: 0.15-0.366, P=<0.001). conclusion: Mutation of both GPHN (rs928553) and cYP2c9 (rs1278237) genes may be implicated as a genetic mediators of resistance in patients with PRE.
Neural network elements such as motif, backbone and influential nodes play important roles in neural network computation. Increasing researches have been applying complex network methods in order to identify different...
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Neural network elements such as motif, backbone and influential nodes play important roles in neural network computation. Increasing researches have been applying complex network methods in order to identify different essential structures within complex neural networks. However, the distinct properties of synapses that build the neural network are often neglected, such as the difference between chemical synapses and electrical synapses. By separating these distinct synapses, we can identify a novel repertoire of neural motifs and greatly expand neural motif families in neural systems. Based on the expanded motif families, we further propose a novel neural-motif-based algorithm to extract the backbone in the neural network. The backbone circuit we extracted from caenorhabditis elegans connectome controls an essential motor behaviour in c. elegans. Furthermore, we develop a novel neural-motif-based algorithm to identify influential neurons. compared with the influential neurons identified using existing methods, the neurons identified in this work provide more information in related to their functions. These methods have been successfully applied to identify a series of network features in c. elegans, providing a biologically interpretable way of exploring the structure of neural network.
Tuning reactive oxygen species in peroxymonosulfate (PMS) activation by the structure of catalysts has been extensively studied. But in photocatalysis, the photothermal effect is lack of attention on the alteration of...
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Tuning reactive oxygen species in peroxymonosulfate (PMS) activation by the structure of catalysts has been extensively studied. But in photocatalysis, the photothermal effect is lack of attention on the alteration of reactive species produced by PMS activation. In this work, ZnFe2O4/c photocatalyst with oxygen vacancy (ZFOv/ c) was synthesized via the calcination of bimetallic Zn/Fe-metal-organic framework. The photocatalytic per-formance of the catalyst had been studied under several conditions, and the experimental results demonstrated that the photocatalytic reaction rate constant of ZFOv/c photocatalyst without temperature control was 21.3 % higher than that under temperature control. Reactive species quenching experiments and electron paramagnetic resonance indicated that 1O2 and h+ are the primary reactive species without temperature control, while only 1O2 are the dominant reactive species under temperature control conditions. The possible activation site was speculated by in-situ Raman spectroscopy, XPS spectra and cycling experiment. This paper analyzes the reasons for photocatalysis to improve the degradation rate of pollutant from the perspective of the change of reactive species generated by photothermal effect on PMS activation, which may open up opportunities to explore the maximum utilization of sunlight in PMS activation.
In order to improve the oxidation and ablative properties of c/ccomposites, ZrB2-Sic-HfB2-TaSi2 coating was prepared on the surface of c/ccomposites by atmospheric plasma spraying. By means of microstructure analysi...
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In order to improve the oxidation and ablative properties of c/ccomposites, ZrB2-Sic-HfB2-TaSi2 coating was prepared on the surface of c/ccomposites by atmospheric plasma spraying. By means of microstructure analysis and phase structure analysis, the difference of the spray powder before and after IPS treatment and the microstructure and oxidation ablation resistance of the coating were studied. The results show that the IPS treated powder has better fluidity and densification. In the coating, part of ZrB2 and HfB2 exist in the form of unmelted particles, another part exists in the form of intermediate solid solution (Zr, Hf)B2, and TaSi2 exists in the particle gap. The linear ablation rate and mass ablation rate of the coating are -1.513 x 10-4 mm/s and 2.842 x 10-4 g/ s, respectively, measured under the condition of oxygen acetylene heat flux of 1.8 MW/m2, 180 s were ablated. The coating has good ablative resistance, and TaSi2 can form dense Zr-Ta-O and Hf-Ta-O oxides with Zr and Hf elements. The Ta-Si-O glass phase can effectively seal the holes of the coating to prevent oxygen penetration. During the ablation process, the oxidation of (Zr,Hf)B2 also plays a certain role in the formation of densification zone on the coating surface.
Phosphorus in water is the main inducement for eutrophication and deterioration of water quality. cerium oxide has excellent adsorption ability for phosphate, but its activity and conductivity need to be improved for ...
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Phosphorus in water is the main inducement for eutrophication and deterioration of water quality. cerium oxide has excellent adsorption ability for phosphate, but its activity and conductivity need to be improved for capacitive deionization (cDI) application. Herein, a carbon nanotube (cNT)-twined ceO2/ccomposite was synthesized by in-situ growth of ce-BTc in cNT matrix followed by carbonization. The ultrafine ceO2 particles were uniformly dispersed in carbon matrix, improving the electrical conductivity and effective active sites. Via hydrazine reduction, the content of ce(III) and oxygen vacancy of the obtained ceO2/c-R@cNT were enhanced, boosting the activity of electrode for phosphate adsorption. As an anode, ceO2/c-R@cNT delivered the maximum phosphate removal capacity of 109.5 mg P/g. The adsorption performance was investigated by analyzing adsorption kinetics and adsorption isotherms. The corresponding adsorption mechanism was studied by pH analysis, X-ray photoelectron spectroscopy and Fourier transform infrared spectroscopy. The electrode showed high selectivity to phosphate adsorption, and the separation factor arrived at 8.7 in the mixture solution with the cl-/P concentration ratio of 15. In addition, ceO2/c-R@cNT retains the P adsorption capacity of 95 % in 30 cycles. The phosphate in actual water was totally removed with good repeatability, proving the high practicability for water treatment.
c/Siccomposites prepared by polymer infiltration and pyrolysis (PIP) are among the most promising materials for application in ultrahigh-temperature conditions. However, the mechan-ical properties and damage mechanis...
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c/Siccomposites prepared by polymer infiltration and pyrolysis (PIP) are among the most promising materials for application in ultrahigh-temperature conditions. However, the mechan-ical properties and damage mechanisms of PIP-c/Siccomposites at different loading velocities and temperatures have not been systematically studied. In this study, in-plane compression, bending, and in-plane shear experiments were systematically performed at different loading ve-locities and temperatures in an inert atmosphere. The ultimate strengths of the PIP-c/Siccom-posite were determined under different conditions, and the failure modes were revealed. In addition, in-situ X-ray microtomography tension experiments were conducted to study the failure mechanism of the PIP-c/Siccomposite. The results showed that the ultimate strengths were considerably affected by the temperature and loading velocity, and the failure modes were dependent on experimental types. The fracture location of the PIP-c/Siccomposite is affected by the defect. And the direction of crack propagation is toward the existing cracks and voids.
Background There is paucity in the literature to predict the occurrence of Ventilator Associated Pneumonia (VAP) in patients with Traumatic Brain Injury (TBI). We aimed to build a c.5. Decision Tree (c.5 DT) machine l...
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Background There is paucity in the literature to predict the occurrence of Ventilator Associated Pneumonia (VAP) in patients with Traumatic Brain Injury (TBI). We aimed to build a c.5. Decision Tree (c.5 DT) machine learning model to predict VAP in patients with moderate to severe TBI. Methods This was a retrospective study including all adult patients who were hospitalized with TBI plus head abbreviated injury scale (AIS) >= 3 and were mechanically ventilated in a level 1 trauma center between 2014 and 2019. Results A total of 772 eligible patients were enrolled, of them 169 had VAP (22%). The c.5 DT model achieved moderate performance with 83.5% accuracy, 80.5% area under the curve, 71% precision, 86% negative predictive value, 43% sensitivity, 95% specificity and 54% F-score. Out of 24 predictors, c.5 DT identified 5 variables predicting occurrence of VAP post-moderate to severe TBI (Time from injury to emergency department arrival, blood transfusion during resuscitation, comorbidities, Injury Severity Score and pneumothorax). conclusions This study could serve as baseline for the quest of predicting VAP in patients with TBI through the utilization of c.5. DT machine learning approach. This model helps provide timely decision support to caregivers to improve patient's outcomes.
Two-dimensional layered semiconducting materials, such as tungsten disulfide, have attracted significant research interest over the past few decades. With rational optimization of their chemical constitutions and regu...
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Two-dimensional layered semiconducting materials, such as tungsten disulfide, have attracted significant research interest over the past few decades. With rational optimization of their chemical constitutions and regulation of electronicconfigurations, these materials can achieve commercial viability. Herein, the WS2/c hybrid was constructed by organic amine intercalation and in-situ pyrolysis. Intraparticle porous WS2/c was successfully synthesized by dissolving and etching. The specific surface area of the obtained WS2/c was significantly enhanced on the removal of WO3 through alkali etching, which facilitated the Na-insertion/ extraction. Therefore, the obtained porous WS2/ccomposite delivered a high reversible capacity and improved cycle stability with 346.3 mAh g-1 over 80 cycles at 100 mA g-1. This work proposes an intragranular porous WS2/ccomposite electrode design which shows a superior sodium storage performance, improved electronicconductivity and enhanced reversible specificcapacity. It is expected to present a novel insight for designing other high-capacity sodium-ion and other alkaline ion battery electrode materials.
Understanding the processing of limiting nutrients among organisms is an important goal of community ecology. Less known is how human disturbances may alter the stoichiometric patterns among organisms from different t...
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Understanding the processing of limiting nutrients among organisms is an important goal of community ecology. Less known is how human disturbances may alter the stoichiometric patterns among organisms from different trophic levels within communities. Here, we investigated how livestock grazing affects the c:N:P ecological stoichiometry of soils, plants (Leymus chinensis), and grasshoppers (Euchorthippus spp.) in a semi-arid grassland in northeastern china. We found that grazing significantly enhanced soil available N and leaf N content of the dominant L. chinensis grass by 15% and 20%, respectively. Grazing also reduced (soluble) c:N of L. chinensis leaves by 22%. However, grazing did not affect total c, N, or P contents nor their ratios in Euchorthippus grasshoppers. Our results reveal that the effects of grazing disturbances on elemental composition attenuated from lower to higher trophic levels. These findings support the theory that organisms from higher trophic levels have relatively stronger stoichiometric homeostasis compared to those from lower trophic levels. Moreover, grasshopper abundance dropped by 66% in the grazed areas, and they reduced the feeding time on their host L. chinensis grass by 43%, presumably to limit the intake of excess nitrogen from host plants. The energeticcosts associated with the maintenance of elemental homeostasis likely reduced grasshopper individual performance and population abundance in the grazed areas. A comprehensive investigation of stoichiometric properties of organisms across trophic levels may enable a better understanding of the nature of species interactions, and facilitate predictions of the consequences of future environmental changes for a community organization.
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