Results 61 to 70 of about 21,631 (268)
In this study, a comprehensive early warning model combining dynamic meteorological data and static geological conditions was proposed to meet the early warning needs of water damage disasters caused by extreme rainfall in the rainy season in mountainous
Chunyuan GAO +3 more
doaj +1 more source
Polychip‐A High‐Throughput Droplet Microfluidics Platform for Interrogating Microbial Interactions
Polychip, a fully integrated droplet microfluidics platform, enables high‐throughput, single‐cell resolution screening of polymicrobial interactions. By seamlessly combining six automated microfluidics operations on a single chip, the system accelerates antimicrobial discovery by 11 to 14 times compared to traditional robotic methods.
Jeong Jae Han +11 more
wiley +1 more source
ABSTRACT Astrocyte reactivity critically shapes neuroinflammatory outcomes after ischemic stroke, yet the upstream regulators governing astrocyte state transitions remain incompletely defined. Here, we identify the immunoproteasome subunit low molecular weight protein 2 (LMP2) as an important modulator of astrocyte functional remodeling following ...
Yanguang Mao +7 more
wiley +1 more source
Natural gas prices and competition among natural gas pipelines
Bibliography: p.
openaire +2 more sources
An optimized ex vivo human liver slice culture system preserves tissue architecture, hepatocyte function, and immune‐stromal complexity for at least five days. By refining slice thickness, oxygenation, air‐liquid interface, and extracellular matrix support, the platform enables human‐relevant hepatotoxicity testing and mechanistic studies, offering a ...
Huiche Feng +17 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
With the development of natural gas pipelines, the proportion of aged pipelines in service has been increasing, and corrosion remains a primary cause of pipeline failure.
An Li +6 more
doaj +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Natural gas pipeline risk assessment model based on correction coefficients and risk coupling matrix
To address the limited adaptability of traditional static scoring systems (such as the Kent method) and the lack of quantified multi-factor coupling in the GB/T 27512—2011 Risk Assessment Methods for Buried Steel Pipelines standard, a natural gas ...
Xiaoyu MA +7 more
doaj +1 more source
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source

