Ultra-fast charge-discharge and high-energy storage performance realized in KNaNbO3-Bi(MnNi)O3 ceramics

Lead-free relaxor ceramics (1 − [Formula: see text])K[Formula: see text]Na[Formula: see text]NbO3 − [Formula: see text]Bi(Mn[Formula: see text]Ni[Formula: see text])O3 ((1 − [Formula: see text] )KNN- [Formula: see text]BMN) with considerable charge–discharge characteristics and energy storage properties were prepared by a solid state method. Remarkable, a BMN doping level of 0.04, 0.96KNN–0.04BMN ceramic obtained good energy storage performance with acceptable energy storage density [Formula: see text][Formula: see text] of 1.826 J/cm3 and energy storage efficiency [Formula: see text] of 77.4%, as well as good frequency stability (1–500 Hz) and fatigue resistance (1–5000 cycles). Meanwhile, a satisfactory charge–discharge performance with power density [Formula: see text][Formula: see text] [Formula: see text] 98.90 MW/cm3, discharge time [Formula: see text][Formula: see text] < 70 ns and temperature stability (30–180∘C) was obtained in 0.96KNN–0.04BMN ceramic. The small grain size ([Formula: see text]150 nm) and the high polarizability of Bi[Formula: see text] are directly related to its good energy storage capacity. This work proposes a feasible approach for lead-free KNN-based ceramics to achieve high-energy storage and ultra-fast charge–discharge performance as well as candidate materials for the application of advanced high-temperature pulse capacitors

Natural ursolic acid based self-therapeutic polymer as nanocarrier to deliver natural resveratrol for natural therapy of acute kidney injury

Abstract Acute kidney injury (AKI) is a common kidney disease associated with excessive reactive oxygen species (ROS). Unfortunately, due to the low kidney targeting and undesired side effects, the existing antioxidant and anti-inflammatory drugs are unavailable for AKI management in clinic. Therefore, it’s essential to develop effective nanodrugs with high renal targeting and biocompatibility for AKI treatment. Herein, we reported a novel nanodrug for AKI treatment, utilizing poly(ursolic acid) (PUA) as a bioactive nanocarrier and resveratrol (RES) as a model drug. The PUA polymer was synthesized form ursolic acid with intrinsic antioxidant and anti-inflammatory activities, and successfully encapsulated RES through a nanoprecipitation method. Subsequently, we systemically investigated the therapeutic potential of RES-loaded PUA nanoparticles (PUA NPs@RES) against AKI. In vitro results demonstrated that PUA NPs@RES effectively scavenged ROS and provided substantial protection against H2O2-induced cellular damage. In vivo studies revealed that PUA NPs significantly improved drug accumulation in the kidneys and exhibited favorable biocompatibility. Furthermore, PUA NPs alone exhibited additional anti-inflammatory and antioxidant effect, synergistically enhancing therapeutic efficacy in AKI mouse models when combined with RES. Overall, our study successfully developed an effective nanodrug using self-therapeutic nanocarriers, presenting a promising option for the treatment of AKI. Graphical abstrac

Machine Learning and Bioinformatics Analysis for Laboratory Data in Pan‐Cancers Detection

Early diagnosis of cancer is crucial to improving the long‐term survival rate of patients. However, commonly used tumor markers lack sensitivity and specificity for screening purposes. Herein, 10 diagnostic models for 10 common types of cancer are developed by extreme gradient boosting, incorporating 66 laboratory parameters. The datasets consist of a retrospective cohort of 737 503 training and 184 012 validation cases, and a prospective cohort of 174 894 cases for model testing. The areas under the curve of the 10 diagnostic models range from 0.763 to 0.993. Notably, the different models have varying numbers of identical parameters among the 66 test features. Additionally, SHapley Additive exPlanation analysis reveals that 54 nontumor markers contributed significantly to the models. Cosine similarity analysis and clustering analysis demonstrate that some of the 10 cancers share common pathophysiological characteristics. Feature‐based inference graph models are thus performed and infer relationships between nontumor index parameters and cancers with strong correlations. In conclusion, a machine learning‐based pan‐cancer early warning system has been established in this study, which can guide doctors in selecting more accurate testing indicators and assessing the risk of 10 types of cancer with greater precision

Pseudocapacitive Sodium Storage in Mesoporous Single-Crystal-like TiO₂–Graphene Nanocomposite Enables High-Performance Sodium-Ion Capacitors

Sodium-ion capacitors can potentially combine the virtues of high power capability of conventional electrochemical capacitors and high energy density of batteries. However, the lack of high-performance electrode materials has been the major challenge of sodium-based energy storage devices. In this work, we report a microwave-assisted synthesis of single-crystal-like anatase TiO₂ mesocages anchored on graphene as a sodium storage material. The architecture of the nanocomposite results in pseudocapacitive charge storage behavior with fast kinetics, high reversibility, and negligible degradation to the micro/nanostructure. The nanocomposite delivers a high capacity of 268 mAh g^–1 at 0.2 C, which remains 126 mAh g^–1 at 10 C for over 18 000 cycles. Coupling with a carbon-based cathode, a full cell of sodium-ion capacitor successfully demonstrates a high energy density of 64.2 Wh kg^–1 at 56.3 W kg^–1 and 25.8 Wh kg^–1 at 1357 W kg^–1, as well as an ultralong lifespan of 10 000 cycles with over 90% of capacity retention