Radio frequency identification technology reduce intravenous thrombolysis time in acute ischemic stroke.

PURPOSE: To inspect whether time management with radio frequency identification technology (RFID) reduces symptom onset-to-intravenous thrombolysis time (OTT) in acute ischemic stroke (AIS). METHODS: In the retrospective study, patients with AIS, transferred by Emergency Medical Services (EMS) to Hunan Provincial People's Hospital between September 2019 to June 2022, divided into three groups, as traditional group, in-hospital RFID group and whole process RFID group. Baseline characteristics and time metrics were compared. RESULTS: After the whole emergency process applied with RFID time management, Door to intravenous thrombolysis time (DNT) was reduced from 125.00±43.16 min to 32.59±25.45 min (F = 121.857, p<0.001), and OTT was reduced from 235.53±57.27 min to 144.31±47.96 min (F = 10.377, p<0.001). CONCLUSIONS: Time management with RFID is effective in reducing OTT in AIS patients with thrombolysis treatment.

An in-hospital stroke system to optimize emergency management of acute ischemic stroke by reducing door-to-needle time.

BACKGROUND: Door-to-needle time (DNT) is a critical consideration in emergency management of acute ischemic stroke (AIS). Deficiencies in the widely applied standard hospital workflow process, based on international guidelines, impede rapid treatment of AIS patients. We developed an in-hospital stroke system to reduce DNT and optimize hospitals' emergency procedures. OBJECTIVES: To investigate the effect of the in-hospital stroke system on the hospital workflow for AIS patients. METHODS: We performed a retrospective study on AIS patients between June 2017 and December 2021. AIS cases were assigned to a pre-intervention group (before the in-hospital stroke system was established) and a post-intervention group (after the system's establishment). We compared the two groups' demographic features, clinical characteristics, treatments and outcomes, and time metrics data. RESULTS: We analyzed 1031 cases, comprising 474 and 557 cases in the pre-intervention and post-intervention groups, respectively. Baseline data were similar for both groups. Significantly more patients in the post-intervention group (41.11%) were treated with intravenous thrombolysis (IVT) or endovascular therapy (ET) compared with those in the pre-intervention group (8.65%) (p < 0.001). DNT was markedly improved (decreasing from 118 (80.5-137) min to 26 (21-38) min among patients in the post-intervention group treated with IVT or bridging ET. Consequently, a much higher proportion of these patients (92.64%) received IVT within 60 min compared with those in the pre-intervention group (17.39%) (p < 0.001). Consequently, their hospital stays were shorter (8 [6-11] days vs. 10 [8-12] days for the pre-intervention group; p < 0.001), and they showed improved National Institutes of Health Stroke Scale (NIHSS) scores at discharge (-2 [-5-0] vs. -1 [-2-0], p < 0.001). CONCLUSION: DNT was significantly reduced following implementation of the in-hospital stroke system, which contributed to improved patient outcomes measured by the length of hospital stay and NIHSS scores.

Defective nanomaterials for electrocatalysis oxygen reduction reaction.

The difficulties in O2 molecule adsorption/activation, the cleavage of the O-O bond, and the desorption of the reaction intermediates at the surface of the electrodes make the cathodic oxygen reduction reaction (ORR) for fuel cells show extremely sluggish kinetics. Thus, it is important to the exploitation of highly active and stable electrocatalysts for the ORR to promote the performance and commercialization of fuel cells. Many studies have found that the defects affect the electron and the geometrical structure of the catalyst. The catalytic performance is enhanced by constructing defects to optimize the adsorption energy of substrates or intermediates. Unfortunately, still many issues are poorly recognized, such as the effect of defects (types, contents, and locations) in catalytic performance is unclear, and the catalytic mechanism of defective nanomaterials is lacking. In this review, the defective electrocatalysts divided into noble and non-noble metals for the ORR are highlighted and summarized. With the assistance of experimental results and theoretical calculations, the structure-activity relationships between defect engineering and catalytic performance have been clarified. Finally, after a deeper understanding of defect engineering, a rational design for efficient and robust ORR catalysts for PEMFCs is further guided.

The Potential Activity of Lingzhi or Reishi Medicinal Mushroom, Ganoderma lucidum (Agaricomycetes), to Alleviate Liver Injury in Adults with Acute Mushroom Poisoning: A Retrospective Study.

In the study, we retrospectively reviewed cases of patients with acute mushroom poisoning admitted to seven hospitals from May 2016 to May 2021. In total, we analyzed 153 acute mushroom poisoning cases. Of these patients, 135 survived and 18 died; no correlation of Ganoderma lucidum treatment with in-hospital mortality was observed (odds ratio = 1.598, P = 0.589). We further analyzed 61 patients who survived with liver injury according to whether they were treated with G. lucidum. Both length of hospital stay and hospitalization expenses in the G. lucidum treatment group were significantly lower than the control, with values of 6.69 ± 3.98 days vs. 9.27 ± 5.30 days (t = 2.174, P = 0.034) and 16,336.49 ± 12,615.76 CNY vs. 27,540.08 ± 23,709.57 CNY (t = 2.382, P = 0.020), respectively. Moreover, cases with a blood purification treatment time > 48 h of the G. lucidum group were significantly less than that of the control (30% vs. 69.23%; χ2 = 4.891, P = 0.027). As a result, G. lucidum seems to be a beneficial treatment in acute mushroom poisoning with liver injury.

3D Net-like GO-d-Ti3C2Tx MXene Aerogels with Catalysis/Adsorption Dual Effects for High-Performance Lithium-Sulfur Batteries.

High theoretical specific capacity and rich resources in nature make sulfur an ideal cathode material for lithium-metal batteries. However, the shuttle effect and sluggish reduction reaction kinetics of lithium polysulfides (LiPSs) seriously affect the performance of the batteries. Here, we report GO-d-Ti3C2Tx MXene aerogels with a novel three-dimensional (3D) reticular structure that served as sulfur host cathode materials for lithium-sulfur batteries (LiSBs), which benefits adsorption/catalytic conversion of LiPSs simultaneously. The dissolved LiPSs can be rapidly captured through chemisorption and then catalyzed into insoluble Li2S by low-coordinated-state Ti on the d-Ti3C2Tx MXene surface. The combination of adsorption and catalysis enormously improves the capacity and cycling performance of LiSBs. At an S mass loading of 1.5 mg cm-2, the cell with the S@GM0.4 composite electrode achieves excellent cycling performance. The discharge specific capacity of 1039 mA h g-1 (1.56 mA h cm-2) decays to 542.9 mA h g-1 after 1000 cycles with a capacity fading rate of 0.048% per cycle at 0.5 C. Even at an S mass loading of 4.88 mg cm-2, an areal capacity of 4.3 mA h cm-2 can be achieved at 0.2 C.

Densely vertical-grown NiFe hydroxide nanosheets on a 3D nickel skeleton as a dendrite-free lithium anode.

Densely vertical-grown NiFe hydroxide nanosheets on a nickel foam (DVS-NFOH@NF) were designed and synthesized for a dendrite-free lithium anode. As a result, the Li dendrite was significantly suppressed. The invented Li anode presented a uniform morphology and great cycle performance in a symmetric cell.

A two-step rumor detection model based on the supernetwork theory about Weibo.

Based on the supernetwork theory, a two-step rumor detection model was proposed. The first step was the classification of users on the basis of user-based features. In the second step, non-user-based features, including psychology-based features, content-based features, and parts of supernetwork-based features, were used to detect rumors posted by different types of users. Four machine learning methods, namely, Naive Bayes, Neural Network, Support Vector Machine, and Logistic Regression, were applied to train the classifier. Four real cases and several assessment metrics were employed to verify the effectiveness of the proposed model. Performance of the model regarding early rumor detection was also evaluated by separating the datasets according to the posting time of posts. Results showed that this model exhibited better performance in rumor detection compared to five benchmark models, mainly owing to the application of the supernetwork theory and the two-step mechanism.

Synthesis of ammonia via electrochemical nitrogen reduction on high-index faceted Au nanoparticles with a high faradaic efficiency.

The electrochemical nitrogen reduction reaction (NRR) is a promising but extremely challenging approach for ammonia synthesis under ambient conditions. Herein, we report the excellent NRR performance of gold nanoparticles (AuNPs) with multiple high-index facets, prepared by a modified seed-mediated method. At -0.3 V vs. RHE and in 0.1 M Li2SO4 aqueous solution, the AuNPs afford the highest faradaic efficiency (FE) of 73.32% reported so far, with a remarkable ammonia generation rate of 9.22 µg h-1 cm-2. Density functional theory (DFT) calculations reveal that the high-index faceted surfaces of the AuNPs have greater preference for the adsorption of NRR intermediates (*NNH) and significantly hinder the adsorption of competing hydrogen evolution intermediates (*H).

Controlled synthesis of single cobalt atom catalysts via a facile one-pot pyrolysis for efficient oxygen reduction and hydrogen evolution reactions.

Metal-nitrogen doped carbon catalysts (M-N/C) with abundantly accessible M-Nx sites, particularly single metal atom M-N/C (SAM-N/C), have been developed as a substitute for expensive Pt-based catalysts. These catalysts are used to increase the efficiency of otherwise sluggish oxygen reduction reactions (ORR) and hydrogen evolution reactions (HER). However, although the agglomerated metal nanoparticles are usually easy to form, they are very difficult to remove due to the protective surface-coating carbon layers, a factor that significantly hampers SAM-N/C fabrication. Herein, we report a one-step pyrolysis approach to successfully fabricate single cobalt atom Co-N/C (SACo-N/C) by using a Co2+-SCN- coordination compound as the metal precursor. Thanks to the decomposition of Co2+-SCN- compound at lower temperature than that of carbon layer deposition, Co-rich particles grow up to larger ones before carbon layers formation. Even though encapsulated by the carbon layers, it is difficult for the large Co-rich particle to be completely sealed. And thus, it makes the Co atoms possible to escape from incomplete carbon layer, to coordinate with nitrogen atoms, and to form SACo-N/C catalysts. This SACo-N/C exhibits excellent performances for both ORR (half-wave potential of 0.878 V) and HER (overpotential at 10 mA/cm2 of 178 mV), and is thus a potential replacement for Pt-based catalysts. When SACo-N/C is integrated into a Zn-O2 battery, battery with high open-circuit voltage (1.536 V) has high peak power density (266 mW/cm2) and large gravimetric energy density (755 mA h/gZn) at current densities of 100 mA/cm2. Thus, we believe that this strategy may offer a new direction for the effective generation of SAM-N/C catalysts.