Prenatal and Postnatal Ambient Air Pollution and Kawasaki Disease: A Systematic Review and Meta-Analysis.

Background: Accumulating evidence indicates associations between ambient air pollution and Kawasaki disease (KD), but the results remain inconsistent.

Objectives: This systematic review and meta-analysis aimed to comprehensively summarize the current evidence on the effects of ambient air pollutants on KD.

Methods: The PubMed, Web of Science, Embase, and Scopus databases were searched up to January 18, 2025 for studies investigating the effects of ambient air pollution on KD.

Measurement of Very-High-Energy Diffuse Gamma-Ray Emissions from the Galactic Plane with LHAASO-WCDA.

The diffuse Galactic gamma-ray emission is a very important tool used to study the propagation and interaction of cosmic rays in the Milky Way. In this Letter, we report the measurements of the diffuse emission from the Galactic plane-covering Galactic longitudes from 15° to 235° and latitudes from -5° to +5°, in an energy range of 1 to 25 TeV-made with the Water Cherenkov Detector Array (WCDA) of the Large High Altitude Air Shower Observatory. After the sky regions of known sources are masked, the diffuse emission is detected with 24.

Interpretation of pathogenicity and clinical features of multiple pathogens in pediatric lower respiratory tract infections by tNGS RPTM analysis.

Background: To characterize the epidemiology of pathogens in children with lower respiratory tract infections (LRTI) using targeted next-generation sequencing (tNGS), assess the correlation between reads per ten million (RPTM) of co-detected pathogens, identify common co-detection patterns, and explore their clinical significance.

Methods: Children aged 29 days to 14 years hospitalized for LRTI at the Department of Pediatrics, Zhongnan Hospital of Wuhan University, from April 2023 to August 2024 were included. Bronchoalveolar lavage fluid (BALF) or nasopharyngeal swab (NS) samples were tested for pathogens using tNGS, and clinical data were collected.

The Redox Cycle of Viologen-Based Porous Organic Polymers for High-Performance Hydrogen Peroxide Photosynthesis.

Harnessing solar energy to produce hydrogen peroxide (H2O2) is an important strategy to address the current energy shortage. Among various materials, porous organic polymers (POPs) stand out as promising candidates for photocatalytic H2O2 generation due to their versatile structures and extended π-conjugation; however, their efficiency in H2O2 synthesis is often constrained by poor charge separation and high reaction energy barriers. To address these challenges, we drew inspiration from the redox reactions of coenzyme NADPH in natural photosynthesis, the redox-active methyl viologen (MV2+) moiety was rationally incorporated into two polymer frameworks (TPE-MV and TPB-MV) as pivotal active sites for photocatalytic oxygen (O2) reduction to H2O2 via the reversible redox cycle of MV2+ and zerovalent methyl viologen (MV0).

Accurate lithofacies identification in deep shale gas reservoirs via an optimized neural network recognition model, Qiongzhusi Formation, southern Sichuan.

The Lower Cambrian Qiongzhusi Formation is crucial for exploring deep shale gas in Sichuan, however, challenges in accurately classifying shale lithofacies have hindered its commercialization. To address this, the deep shale reservoirs of the Qiongzhusi Formation were categorized into five lithofacies, five microfacies, and two-sedimentary models utilizing thin sections, scanning electron microscopy, X-ray diffraction (XRD), and petrophysical parameters. Subsequently, various lithofacies identification methods for deep shale gas reservoirs were developed.