Enhanced N2 Adsorption and Activation by Combining Re Clusters and In Vacancies as Dual Sites for Efficient and Selective Electrochemical NH3 Synthesis.

The electrochemical N2 reduction reaction (NRR) is a green and energy-saving sustainable technology for NH3 production. However, high activity and high selectivity can hardly be achieved in the same catalyst, which severely restricts the development of the electrochemical NRR. In2Se3 with partially occupied p-orbitals can suppress the H2 evolution reaction (HER), which shows excellent selectivity in the electrochemical NRR. The presence of VIn can simultaneously provide active sites and confine Re clusters through strong charge transfer. Additionally, well-isolated Re clusters stabilized on In2Se3 by the confinement effect of VIn result in Re-VIn active sites with maximum availability. By combining Re clusters and VIn as dual sites for spontaneous N2 adsorption and activation, the electrochemical NRR performance is enhanced significantly. As a result, the Re-In2Se3-VIn/CC catalyst delivers a high NH3 yield rate (26.63 µg h-1 cm-2) and high FEs (30.8%) at -0.5 V vs RHE.

Observation of efficacy of rt-PA thrombolysis combined with Solitaire AB stent mechanical thrombectomy in patients with acute ischemic stroke: a retrospective analysis.

OBJECTIVE: To observe and analyze the efficacy of recombinant tissue-plasminogen activator (rt-PA) thrombolysis combined with Solitaire AB stent mechanical thrombectomy in patients with acute ischemic stroke. METHODS: Clinical efficacy, neurological function, oxidative stress response, adverse reactions, and quality of life were compared between the two groups. RESULTS: Lower NIHSS scores were observed among patients who received treatment within 2 h after stroke onset when compared with those in a timeframe of 2-6 h, suggesting better neurological function recovery of the patients with early intervention and thus emphasizing the importance of early treatment for patients with stroke onset. Clinical efficacy in the combination group was significantly higher than in the control group (p < 0.05). After treatment, Paraoxonase-1 (PON-1) levels were higher, while lipoprotein-associated phospholipase A2 (Lp-PLA2) and Serum Amyloid A (SAA) levels were lower in the combination group compared to the control group (p < 0.05). The incidence of adverse reactions was significantly lower in the combination group (p < 0.05). At discharge, we observed significantly more patients with good recovery in the combination group when compared to the control group (p < 0.05), suggesting better quality of life of the patients, while this statistical significance was no longer observable at 90 days after discharge (p > 0.05). CONCLUSION: For acute ischemic stroke patients, rt-PA thrombolysis combined with Solitaire AB stent mechanical thrombectomy treatment is effective. It promotes neurological function recovery, improves vascular stenosis, reduces inflammation and adverse reactions, and enhances quality of life, showing promising clinical applications.

Photocatalytic CO2 Reduction by Near-Infrared-Light (1200†nm) Irradiation and a Ruthenium-Intercalated NiAl-Layered Double Hydroxide.

Near-infrared light-driven photocatalytic CO2 reduction (NIR-CO2PR) holds tremendous promise for the production of valuable commodity chemicals and fuels. However, designing photocatalysts capable of reducing CO2 with low energy NIR photons remains challenging. Herein, a novel NIR-driven photocatalyst comprising an anionic Ru complex intercalated between NiAl-layered double hydroxide nanosheets (NiAl-Ru-LDH) is shown to deliver efficient CO2 photoreduction (0.887 µmol h-1) with CO selectivity of 84.81 % under 1200 nm illumination and excellent stability over 50 testing cycles. This remarkable performance results from the intercalated Ru complex lowering the LDH band gap (0.98 eV) via a compression-related charge redistribution phenomenon. Furthermore, transient absorption spectroscopy data verified light-induced electron transfer from the Ru complex towards the LDH sheets, increasing the availability of electrons to drive CO2PR. The presence of hydroxyl defects in the LDH sheets promotes the adsorption of CO2 molecules and lowers the energy barriers for NIR-CO2PR to CO. To our knowledge, this is one of the first reports of NIR-CO2PR at wavelengths up to 1200 nm in LDH-based photocatalyst systems.

P-Block Metal-Based Electrocatalysts for Nitrogen Reduction to Ammonia: A Minireview.

Electrochemical nitrogen reduction reaction (NRR) to ammonia (NH3 ) using renewable electricity provides a promising approach towards carbon neutral. What's more, it has been regarded as the most promising alternative to the traditional Haber-Bosch route in current context of developing sustainable technologies. The development of a class of highly efficient electrocatalysts with high selectivity and stability is the key to electrochemical NRR. Among them, P-block metal-based electrocatalysts have significant application potential in NRR for which possessing a strong interaction with the N 2p orbitals. Thus, it offers a good selectivity for NRR to NH3 . The density of state (DOS) near the Fermi level is concentrated for the P-block metal-based catalysts, indicating the ability of P-block metal as active sites for N2 adsorption and activation by donating p electrons. In this work, we systematically review the recent progress of P-block metal-based electrocatalysts for electrochemical NRR. The effect of P-block metal-based electrocatalysts on the NRR activity, selectivity and stability are discussed. Specifically, the catalyst design, the nature of the active sites of electrocatalysts and some strategies for boosting NRR performance, the reaction mechanism, and the impact of operating conditions are unveiled. Finally, some challenges and outlooks using P-block metal-based electrocatalysts are proposed.

Enabling Specific Benzene Oxidation by Tuning the Adsorption Behavior on Au Loaded MgAl Layered Double Hydroxides.

Direct and selective oxidation of benzene to phenol is a long-term goal in industry. Although great efforts have been made in homogenous catalysis, it still remains a huge challenge to drive this reaction via heterogeneous catalysts under mild conditions. Herein, a single-atom Au loaded MgAl-layered double hydroxide (Au1 -MgAl-LDH) with a well-defined structure, in which the Au single atoms are located on the top of Al3+ with Au-O4 coordination as revealed by extended x-ray-absorption fine-structure (EXAFS)and density-functional theory (DFT)calculation is reported. The photocatalytic results prove the Au1 -MgAl-LDH is capable of driving benzene oxidation reaction with O2 in water, and exhibits a high selectivity of 99% for phenol. While contrast experiment shows a ≈99% selectivity for aliphatic acid with Au nanoparticle loaded MgAl-LDH (Au-NP-MgAl-LDH). Detailed characterizations confirm that the origin of the selectivity difference can be attributed to the profound adsorption behavior of substrate benzene with Au single atoms and nanoparticles. For Au1 -MgAl-LDH, single Au-C bond is formed in benzene activation and result in the production of phenol. While for Au-NP-MgAl-LDH, multiple AuC bonds are generated in benzene activation, leading to the crack of CC bond.

PUM2 aggravates the neuroinflammation and brain damage induced by ischemia-reperfusion through the SLC7A11-dependent inhibition of ferroptosis via suppressing the SIRT1.

Cerebral ischemia-reperfusion (I/R) injury occurs due to the restoration of blood perfusion after cerebral ischemia, which results in the damage of the brain structures and functions. Unfortunately, currently there are no effective methods for preventing and treating it. The pumilio 2 (PUM2) is a type of RBPs that has been reported to participate in the progression of several diseases. Ferroptosis is reported to be involved in I/R injury. Whether PUM2 modulated I/R injury through regulating ferroptosis remains to be elucidated. The cerebral I/R models including animal middle cerebral artery occlusion/reperfusion (MCAO/R) model and oxygen-glucose deprivation/reperfusion (OGD/R)-induced cortical neuron injury cell model of were established and, respectively. RT-qPCR was applied for evaluating PUM2, SIRT1 and SLC7A11 expression. Western blot was employed for measuring the protein expression levels. The viability of cortical neurons was tested by MTT assay. The histological damage of the brain tissues was assessed by H&E staining. The level of PUM2 was boosted in both the brain tissues of the MCAO model and OGD/R-induced cortical neuron injury model. Silence of PUM2 alleviated MCAO-induced brain injury and decreased the death of PC12 cell exposed to OGD/R. PUM2 also aggravated the accumulation of free iron in MCAO mice and OGD/R-induced cortical neuron injury model. In addition, PUM2 suppressed SLC7A11 via inhibiting expression of SIRT1. Rescue assays unveiled that downregulation of SLC7A11 reversed PUM2 mediated neuroinflammation and brain damage induced by I/R. PUM2 aggravated I/R-induced neuroinflammation and brain damage through the SLC7A11-dependent inhibition of ferroptosis by suppressing SIRT1, highlighting the role of PUM2 in preventing or treating cerebral I/R injury.

Efficacy of Butylphthalide in Combination with Edaravone in the Treatment of Acute Ischemic Stroke and the Effect on Serum Inflammatory Factors.

Objective: To investigate the efficacy of butylphthalide combined with edaravone in the treatment of acute ischemic stroke and the effect on serum inflammatory factors. Methods: One hundred and sixty patients with acute ischemic stroke who attended the neurovascular intervention department of our hospital from May 2020 to June 2022 were enrolled as study subjects for prospective analysis and were equally divided into a control group and an experimental group using the random number table method, with 80 cases in each group. The control group was treated with edaravone injection, while the experimental group was treated with butylphthalide combined with edaravone. The disease was recorded to compare the efficacy, erythrocyte sedimentation rate, homocysteine, serum inflammatory factors including tumor necrosis factor-α, C-reactive protein and interleukin-6 levels, and the incidence of adverse reactions between the two groups. Results: The total effective rate of treatment in the experimental group was 90.0% (72/80), while that of the control group was 62.5% (50/80), the total effective rate of the experimental group was significantly higher than that of the control group, and the difference was statistically significant (P < 0.05). After treatment, the erythrocyte sedimentation rate, homocysteine level, and serum TNF-α, CRP, and IL-6 levels of patients in the experimental group improved compared with those before treatment, and the degree of improvement was better than that of the control group, and the difference was statistically significant (P < 0.05). After 3 months of treatment, a comparison of the incidence of adverse reactions in the two groups showed no statistically significant difference between the two groups (P > 0.05). Conclusion: The treatment of acute ischemic stroke with butylphthalide combined with edaravone has positive significance in improving blood circulation regulation and serum inflammatory factor levels and is reliable and worthy of clinical promotion.

Construction and Evaluation of Prognosis Prediction Model for Patients with Brain Contusion and Laceration Based on Machine Learning.

Objective: Finding valuable risk factors for the prognosis of brain contusion and laceration can help patients understand the condition and improve the prognosis. This study is aimed at analyzing the risk factors of poor prognosis in patients with brain contusion after the operation. Methods: A total of 136 patients with cerebral contusion and laceration combined with cerebral hernia treated by neurosurgical craniotomy in our hospital were retrospectively selected and divided into a training set (n = 95) and a test set (n = 41) by the 10-fold crossover method. Logistic regression and back-propagation neural network prediction models were established to predict poor prognosis factors. The receiver operating characteristic curve (ROC) and the calibration curve were used to verify the differentiation and consistency of the prediction model. Results: Based on logistic regression and back-propagation neural network prediction models, GCS score ≤ 8 on admission, blood loss ≥ 30 ml, mannitol ≥ 2 weeks, anticoagulants before admission, and surgical treatment are the risk factors that affect the poor prognosis of patients with a cerebral contusion after the operation. The area under the ROC was 0.816 (95% CI 0.705~0.926) and 0.819 (95% CI 0.708~0.931), respectively. Conclusion: The prediction model based on the risk factors that affect the poor prognosis of patients with brain contusion and laceration has good discrimination and accuracy.

Synthesis of LDHs Based on Fly-Ash and Its Influence on the Flame Retardant Properties of EVA/LDHs Composites.

Fly-ash, a kind of large solid waste in energy industry, has brought about serious environmental problems and safety consequences. No efficient way has been found yet to deal with it worldwide. The focus of contemporary research are mainly placed on the reuse of aluminum and iron, but with a low utilization rate less than 30%. Having destroyed the ecological balance, fly-ash has become a challenge drawing the attention of people in the solid waste industry. In this paper, a smoke-suppressant and flame-retardant layered double hydroxide (LDH) featuring Mg-Al-Fe ternary was successfully synthesized by fly-ash after coprecipitation. XRD results presented LDHs successful synthesis. Then, exploration on the flame retarding properties of LDHs in composites composed by ethylene vinyl acetate (hereinafter referred to as EVA)/LDHs was carried out by UL-94, limiting oxygen index (LOI), cone calorimeter (CCT), smoke density (SDT), and thermogravimetry-Fourier transform infrared spectrometry (TG-IR) tests. UL testing results showed that most of the samples had a vertical combustion rating of V-0. LOI results showed the highest LOI value of ELDH-1, amounting to as high as 28.5 ± 0.1 while CCT results showed that the rate of heat releasing, mass loss, and smoke production of composite materials were decreased significantly compared with corresponding data of pure EVA. The ELDH-1 sample displayed the lowest peaks of heat release rate (pHRR) value of 178.4 ± 12.8 Kw·m-2 and the lowest total heat release (THR) value of 114.5 ± 0.35 KJ·m-2. Then, SDT indicated that under respective ignition and non-ignition conditions, all composite materials present a good smoke suppression performance. Additionally, digital photographs after CCT demonstrated that EVA/LDHs composites could enhance the formation of compact charred layers, and prevent their splitting, which effectively prevent the underlying materials from burning. Finally, TG-IR findings showed that compared with pure EVA, EVA/LDHs composites also achieved a higher-level thermal stability.

RNF216 Alleviates Radiation-Induced Apoptosis and DNA Damage Through Regulating Ubiquitination-Mediated Degradation of p53 in Glioblastoma.

Glioblastoma (GBM) is the most common and lethal subtype of glioma, characterized by uncontrolled cancer cell proliferation, extensive infiltration, and therapeutic resistance. Ring finger protein 216 (RNF216) is a RING-type E3 ubiquitin ligase aberrantly expressed in multiple human cancers. Tumor protein 53 (p53) is a transcription factor that acts as a tumor suppressor. This study aimed to compare the RNF216 expression in GBM tissues and normal peritumoral tissues and to examine the effects of RNF216 overexpression/knockdown on tumorigenesis, radioresistance, and the p53 pathway in GBM. The results showed that RNF216 was overexpressed in GBM tissues and cell lines, and high RNF216 expression was related to a poor prognosis. RNF216 overexpression promoted GBM cell growth and inhibited apoptosis, while RNF216 knockdown impaired GBM cell growth and enhanced cell death. RNF216 was also highly expressed in recurrent GBM tissues compared with paired primary tumors. The upregulation of RNF216 not only facilitated GBM cell growth but also protected cells against X-ray irradiation-induced apoptosis and DNA damage, while RNF216 knockdown exerted opposite effects. Moreover, the implantation of GBM cells with RNF216 silencing suppressed tumorigenesis and increased radiosensitivity of mice bearing GBM xenografts. Further analysis revealed that RNF216 overexpression reduced the stability of p53 protein via ubiquitination and negatively regulated the p53 pathway, while RNF216 knockdown preserved the p53 protein. In conclusion, RNF216 effectively attenuated radiation-induced apoptosis and DNA damage in GBM via inducing ubiquitination-mediated degradation of p53. These findings suggest the potential therapeutic use of RNF216 inhibition for tumorigenesis and therapeutic resistance in GBM.

Insights into the Superstable Mineralization of Chromium(III) from Wastewater by CuO.

The removal of CrIII ions from contaminated wastewater is of great urgency from both environmental protection and resource utilization perspectives. Herein, we developed a superstable mineralization method to immobilize Cr3+ ions from wastewater using CuO as a stabilizer, leading to the formation of a CuCr layered double hydroxide (denoted as CuCr-LDH). CuO showed a superior Cr3+ removal performance with a removal efficiency of 97.97% and a maximum adsorption capacity of 207.6 mg/g in a 13000 mg/L Cr3+ ion solution. In situ and ex situ X-ray absorption fine structure characterizations were carried out to elucidate the superstable mineralization mechanism. Two reaction pathways were proposed including coprecipitation-dissolution and topological transformation. The mineralized product of CuCr-LDH can be reused for the efficient removal of organic dyes, and the adsorption capacities were up to 248.0 mg/g for Congo red and 240.1 mg/g for Evans blue, respectively. Moreover, CuCr-LDH exhibited a good performance for photocatalytic CO2 reduction to syngas (H2/CO = 2.66) with evolution rates of 54.03 µmol/g·h for CO and of 143.94 µmol/g·h for H2 under λ > 400 nm, respectively. More encouragingly, the actual tanning leather Cr3+ wastewater treated by CuO showed that Cr3+ can reduce from 3438 to 0.06 mg/L, which was much below discharge standards (1.5 mg/L). This work provides a new approach to the mineralization of Cr3+ ions through the "salt-oxide" route, and the findings reported herein may guide the future design of highly efficient mineralization agents for heavy metals.

Acute Thrombolytic Therapy Combined with the Green Channel Can Reduce the Thrombolytic Time and Improve Neurological Function in Acute Stroke Patients.

Objective: To explore the effect of acute thrombolytic therapy combined with the green channel on the thrombolytic time and neurological function in acute stroke patients. Methods: A total of 100 acute stroke patients admitted to our hospital from August 2016 to August 2019 were recruited as the research cohort. In experimental group, 50 patients were administered green channel combined with acute thrombolytic therapy, while the patients in control group were administered general therapy. The thrombolytic times, the muscle strength grades, the FMA scores, the Barthel index levels, the NIHSS and SSS scores, the SAS and SDS scores, the arterial pressure and heart rates, the total effective rates, the incidences of postoperative adverse reactions, and the satisfaction levels were compared between the two groups. Results: The thrombolysis times in experimental group were shorter than those in control group. In experimental group, there were more patients with muscle strength grades 4 and 5 (P < 0.05), the FMA and Barthel index levels were higher, the NIHSS and SSS (P < 0.05) and the SAS and SDS scores were lower, the arterial pressure and heart rates were lower (P < 0.05), the incidence of postoperative adverse reactions was lower (P < 0.05), the total efficiency was higher (P < 0.05), and the satisfaction level was higher (P < 0.05). Conclusion: Acute thrombolytic therapy combined with the green channel can significantly reduce the thrombolytic time and improve the neurological function in acute stroke patients.

Effect of intravenous thrombolysis combined with mechanical thrombectomy on neurological function and short-term prognosis of patients with acute cerebral infarction.

OBJECTIVE: This study was to assess the effect of intravenous thrombolysis combined with mechanical thrombectomy on neurological function and the short-term prognosis of patients with acute cerebral infarction (ACI). METHODS: A total of 120 patients with ACI admitted to our hospital from January 2019 to January 2020 were selected as research objects, and randomized into Group A (n=60) or Group B (n=60). Patients in both groups were treated with intravenous thrombolysis. Group B received ACI conventional treatment and intravenous thrombolysis, while Group A was additionally given mechanical thrombectomy. Then the neurological function scores, serum factor levels, vascular recanalization rate, incidence of adverse reactions, Thrombolysis in Myocardial Infarction (TIMI) grade flow, and effective rate of treatment were compared between the two groups. The clinical trial is available at https://clinicaltrials.gov/, ClinicalTrials.gov Identifier: NCT03502411. RESULTS: The neurological function scores of Group A were apparently lower than those of Group B one month after treatment (P<0.001). After treatment, Group A yielded a superior serum factor level compared to Group B (P<0.001), and also showed a higher recanalization rate of blood vessels and a notably lower adverse reaction rate (all P<0.05). CONCLUSION: Intravenous thrombolysis combined with mechanical thrombectomy can accelerate the recovery of neurological function in patients with ACI, and yield a more promising outcome in terms of the patient's vascular recanalization rate compared with the monotherapy. It can also reduce the adverse reaction rate of patients to ensure a better short-term prognosis.

Blood Pressure Model Based on Hybrid Feature Convolution Neural Network in Promoting Rehabilitation of Patients with Hypertensive Intracerebral Hemorrhage.

OBJECTIVE: Accurate prediction of the rise of blood pressure is essential for the hypertensive intracerebral hemorrhage. This study uses the hybrid feature convolution neural network to establish the blood pressure model instead of the traditional method of pulse waves. METHODS: The pulse waves of 100 patients were collected, and the pulse wave was decomposed into three bell wave compound forms to obtain the accurate pulse wave propagation time. Then, the mixed feature convolution neural network model ABP-net was proposed, which combined the pulse wave propagation time characteristics with the pulse wave waveform characteristics automatically extracted by one-dimensional convolution to predict the arterial blood pressure. Finally, according to the prediction results, 20 patients were treated before the high blood pressure appeared (model group), and another 20 patients with a daily fixed treatment scheme were selected as the control group. RESULTS: In 80 training sets, compared with linear regression and the random forest method, the hybrid feature convolution neural network has higher accuracy in predicting blood pressure. In 20 test sets, the blood pressure error was eliminated within 5 mmHg. The total effective rate in the model group and the control group was 95.0% and 85.0%, respectively (P = 0.035). After treatment, the scores of self-care ability of daily life and limb motor function in the model group were higher than those in the control group (P < 0.05). There were 8 cases (13.6%) in the model group and 17 cases (28.3%) in the control group due to the recurrence of cerebrovascular accident (P = 0.043). CONCLUSION: Drug treatment guided by a blood pressure model based on a hybrid feature convolution neural network for patients with hypertensive cerebral hemorrhage can significantly and smoothly reduce blood pressure, promote the health recovery, and reduce the occurrence of cerebrovascular accidents.

Precise segmentation of non-enhanced computed tomography in patients with ischemic stroke based on multi-scale U-Net deep network model.

BACKGROUND AND OBJECTIVE: Acute ischemic stroke requires timely diagnosis and thrombolytic therapy, but it is difficult to locate and quantify the lesion site manually. The purpose of this study was to explore a more rapid and effective method for automatic image segmentation of acute ischemic stroke. METHODS: The image features of 30 stroke patients were segmented from non-enhanced computed tomography (CT) images using a multi-scale U-Net deep network model. The Dice loss function training model was used to counter the similar imbalance problem in the data. The difference was compared between manual segmentation and automatic segmentation. RESULTS: The Dice similarity coefficient based on multi-scale convolution U-Net network segmentation was 0.86±0.04, higher than the Dice based on classic U-Net (0.81±0.07, P=0.001). The lesion contour of automatic segmentation based on multi-scale U-Net was very close to manual segmentation. The error of lesion area is 1.28±0.59 mm2, and the Pearson correlation coefficient was r=0.986 (P<0.01). The motion time of automatic segmentation is less than 20 ms. CONCLUSIONS: Multi-scale U-Net deep network model can effectively segment ischemic stroke lesions in non-enhanced CT and meet real-time clinical requirements.

MiR-130b can suppress proliferation of glioma cells through targeting PTEN to regulate AKT pathway.

PURPOSE: To study the mechanism of action of micro ribonucleic acid (miR)-130b in the proliferation and apoptosis of glioma cells, and to determine whether it regulates the target gene phosphatase and tensin homolog deleted on chromosome ten (PTEN). METHODS: The endogenous expression of miR-130b was silenced via transfection with the miR-130b inhibitor. The effects of miR-130b silencing on the proliferation and apoptosis of LN229 cells were detected using cell counting kit-8 (CCK-8) assay, colony formation assay and flow cytometry. Whether miR-130b binds to the target gene PTEN was detected via luciferase reporter assay. The changes in the mRNA level of PTEN after miR-130b silencing were determined through quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The effects of miR-130b on protein kinase B (AKT) signaling pathway-related proteins were determined through Western blotting, and the roles of miR-130b and PTEN in the proliferation of glioma cells were detected via CCK-8 assay. RESULTS: Compared with that in normal human astrocytes, the expression of miR-130b was significantly up-regulated in the three kinds of glioma cell lines (p<0.05). Silencing of miR-130b reduced the proliferation (p<0.05) and the colony formation of LN229 cells (p<0.05), and obviously increased their apoptosis (p<0.05), suggesting that silenced miR-130b is a growth inhibitor of glioma cells in vitro. The luciferase reporter assay confirmed that miR-130b directly bound to the 3'-untranslated region (3'UTR) of PTEN to suppress its expression. After transfection with the miR-130b inhibitor, both mRNA and protein expressions of PTEN were up-regulated (p<0.05). Moreover, after silencing of miR-130b, the phosphorylation of AKT was remarkably inhibited, while the cancer suppressor gene p27 was up-regulated. CONCLUSIONS: The carcinogenic effect of miR-130b in glioma was clarified in this study. Silencing of miR-130b may inhibit the AKT signaling pathway through up-regulating PTEN, thereby suppressing the proliferation of glioma cells.