Optimizing Lasing Performance of CsPbBr Microplates by Regulating Exciton Recombination Dynamics with Pressure.

This study aims to achieve an ultralow lasing threshold in CsPbBr microplates (MPs), a crucial step toward developing electrically driven micro/nanolasers for optics integrated chips. We investigate the lasing behavior of CsPbBr MPs under varying pressures by using static-state photoluminescence (PL), time-resolved PL (TRPL), and first-principles theory calculations based on density functional theory (DFT). Our results reveal that the lasing threshold initially decreases and then increases, with a critical turning point at 0.

Accurate Density Prediction of Sesquiterpenoid HEDFs and the Multiproperty Computing Server SesquiterPre.

Accurate and rapid evaluation of density is crucial for evaluating the packing and combustion characteristics of high-energy-density fuels (HEDFs). This parameter is pivotal in the selection of high-performance HEDFs. Our study leveraged a polycyclic compound density data set and quantum chemical (QC) descriptors to establish a correlation with the target properties using the XGBoost algorithm.

Quantitative Predictive Studies of Multiple Biological Activities of TRPV1 Modulators.

TRPV1 channel agonists and antagonists, which have powerful analgesic effects without the addictive qualities associated with traditional analgesics, have become a focus area for the development of novel analgesics. In this study, quantitative structure-activity relationship (QSAR) models for three bioactive endpoints (K, IC, and EC) were successfully constructed using four machine learning algorithms: SVM, Bagging, GBDT, and XGBoost. These models were based on 2922 TRPV1 modulators and incorporated four types of molecular descriptors: Daylight, E-state, ECFP4, and MACCS.

Discovery of novel TRPV1 modulators through machine learning-based molecular docking and molecular similarity searching.

The transient receptor potential vanilloid 1 (TRPV1) channel belongs to the transient receptor potential channel superfamily and participates in many physiological processes. TRPV1 modulators (both agonists and antagonists) can effectively inhibit pain caused by various factors and have curative effects in various diseases, such as itch, cancer, and cardiovascular diseases. Therefore, the development of TRPV1 channel modulators is of great importance.

Silibinin exerts antidepressant effects by improving neurogenesis through BDNF/TrkB pathway.

Classic antidepressants benefit depression patients partially by improving neurogenesis and/or brain-derived neurotrophic factor (BDNF)/TrkB pathway which were impaired in depression. In this study, we demonstrated that Silibinin (SLB), a polyphenolic flavanoid from Silybum marianum, ameliorated reserpinized mouse depressant-like behaviors. The antidepressants of SLB administration was associated with increased neural stem cells (NSCs) proliferation and further confirmed in BDNF/TrkB signaling transduction.

A mesoporous silicon/poly-(DL-lactic-co-glycolic) acid microsphere for long time anti-tuberculosis drug delivery.

In this study, drug delivery systems for controlling release of hydrophobic anti-tuberculosis (TB) drug-rifampicin (RIF) or hydrophilic anti-TB drug-isoniazid (INH) from mesoporous silica (MS) were fabricated. The drug was first filled into the mesopores of MS particles, and then the drug-laden MS constructs were incorporated into the bulk of poly-(DL-lactic-co-glycolic) acid (PLGA) microspheres. In comparison with mono-component construct (drug-laden MS and drug-laden PLGA), this multi-component system significantly improved the release time of RIF and INH.

[Clinical analysis of pediatric SARS cases in Beijing].

Objective: To study clinical characteristics of pediatric SARS cases in Beijing.

Methods: Eighteen pediatric cases with SARS diagnosed on admission were analyzed. The cases were admitted to Beijing Children's Hospital and Ditan Hospital (pediatric ward) from April 8 to May 12.