Results 131 to 140 of about 139,194 (290)
This study aims to evaluate the impact of the potassium channel KCNJ2 on asthma development. KCNJ2 promotes NLRP3 inflammasome activation through both Ca2+ influx and K+ efflux in airway epithelial cells, which drives allergic airway inflammation and remodeling, suggesting a promising therapeutic target for asthma.
Yachao Cui +10 more
wiley +1 more source
ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang +12 more
wiley +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity
Consistent with patterns observed in plant and animal communities, soil bacterial communities exhibit significant species–time–area and phylogenetic–time–area relationships independent of nested structure. Bioenergy cropping significantly reduces the spatiotemporal scaling rates, particularly in sandy loam soils.
Zhencheng Ye +19 more
wiley +1 more source
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng +8 more
wiley +1 more source
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li +12 more
wiley +1 more source
Quaternary topological BiSbSe2Te are synthesized and demonstrates a broad spectral band photoresponse, ranging from infrared to terahertz and to millimeter waves, with a particular excellence on detection of low quantum energy terahertz photons. The observed photoresponse is attributed to the excitation of plasmonic nonequilibrium electrons originating
Tianning Zhang +14 more
wiley +1 more source
Energy consumption and energy saving while separation liquid mixtures by distillation methods
Presented the new method of calculation of heat consumption while separation binary mixtures by distillation methods. Studied the effect of complexity of separation of binary mixtures on necessary heat consumption while separating them by distillation ...
M. K. Zakharov
doaj
Inspired by the mimosa, this study develops a flexible triboelectric nanogenerator with a novel microneedle array and battery‐mimetic architecture. The device introduces a spontaneous charge self‐regulation mechanism that confines the electric field below the air breakdown threshold, and achieves an outstanding charge density of 396.50 µC m−2 ...
Hanpeng Gao +7 more
wiley +1 more source
Comparison of heat input for rectification at various states of the initial binary mixture
Comparison of heat input for rectification at various states of the initial binary mixture was carried out. It is shown that the total heat input for rectification is minimal at a column feed of the initial mixture lower than its boiling point.
K. M. Zakharov, Mohand Abbasi
doaj

