Electrochemical Activation-Induced Structural Transformation in Ni(OH)_(2)/Ti_(3)C_(2)T_(x)/NF Systems with Enhanced Electrochemical Performance for Hybrid Supercapacitors

Exploring a novel strategy for large-scale production of battery-type Ni(OH)_(2)-based composites,with excellent capacitive performance,is still greatly challenging.Herein,we developed a facile and cost-effective strategy to in situ grow a layer of Ni(OH)_(2)/Ti_(3)C_(2)T_(x)composite on the nickel foam(NF)collector,where Ti_(3)C_(2)T_(x)is not only a conductive component,but also a catalyst that accelerates the oxidation of NF to Ni(OH)_(2).Detailed analysis reveals that the crystallinity,morphology,and electronic structure of the integrated electrode can be tuned via the electrochemical activation,which is beneficial for improving electrical conductivity and redox activity.As expected,the integrated electrode shows a specific capacity of 1.09 C cm^(-2)at 1 mA cm^(-2)after three custom activation cycles and maintains 92.4%of the initial capacity after 1500 cycles.Moreover,a hybrid supercapacitor composed of Ni(OH)_(2)/Ti_(3)C_(2)T_(x)/NF cathode and activated carbon anode provides an energy density of 0.1 mWh cm^(-2)at a power density of 0.97 mW cm^(-2),and excellent cycling stability with about 110%capacity retention rate after 5000 cycles.This work would afford an economical and convenient method to steer commercial Ni foam into advanced Ni(OH)_(2)-based composite materials as binder-free electrodes for hybrid supercapacitors.

Identification of immune cell infiltration landscape for predicting prognosis of colorectal cancer

Background:The tumor microenvironment plays an essential role in the therapeutic response to immunotherapy.It is necessary to identify immune cell infiltration(ICI)subtypes for evaluating prognosis and therapeutic benefits.This study aimed to evaluate the ICI score as an effective prognostic biomarker for immune response.Methods:The cell-type identification by estimating relative subsets of RNA transcripts and the estimation of stromal and immune cells in malignant tumors using expression methods were used to analyse ICI landscapes in 161 colorectal cancer(CRC)samples with patients’clinical and prognostic data,RNA sequencing data,and whole-exome sequencing data from the Sixth Affiliated Hospital,Sun Yat-sen University(Guangzhou,China).Statistical analysis and data processing were conducted to calculate ICI scores,and to analyse the prognosis of CRC patients with different ICI scores and other features.A similar analysis with RNA sequencing and clinical data of colon adenocarcinoma(COAD)samples from The Cancer Genome Atlas(TCGA)database was conducted to confirm the correctness of the findings.Results:The high-ICI score group with a better prognosis(hazard ratio[HR],2.19;95%confidence interval[CI],1.03–4.64;logrank test,P=0.036)was characterized by the increased tumor mutational burden and interleukin-17(IL-17)signaling pathway.Significant differences in the prognosis and the expression levels of immune checkpoints and chemokine marker genes were found between the two ICI score groups.For COAD samples from TCGA,the results also showed a significant difference in patients’prognosis between the two ICI score groups(HR,1.72;95%CI,1.00–2.96;log-rank test,P=0.047).Conclusions:Tumor heterogeneity induced differences in identifying ICI subtypes of CRC patients.The ICI score may serve as an effective biomarker for predicting prognosis,help identify new therapeutic markers for CRC,and develop novel effective immune checkpoint blockade therapies.

计算模拟研究金属有机骨架材料吸附分离C2、C3烃类气体

碳氢化合物在工业生产中发挥着重要的作用,其分离纯化过程是工业生产中重要的环节。低碳烃气体的物理化学性质十分相似,仅在分子尺寸和不饱和度等方面有微小差异,分离困难。传统的精馏等分离方式能耗高、有时效率较低。金属有机骨架材料由于其优异的性能(高比表面积、高孔隙率、结构尺寸可控)在吸附分离方面发挥了重要作用。计算模拟方法能够在微观层次上描述吸附分离过程,起到实验无法替代的作用。本文综述了计算模拟用于探索金属有机骨架吸附分离低碳烃的最新研究进展,探讨了其在金属有机骨架吸附分离低碳烃研究中存在的问题,并展望了发展前景。