Results 161 to 170 of about 97,428 (295)
Active protothrusts and fluid highways: Seismic noise reveals hidden subduction dynamics in Cascadia. [PDF]
Kidiwela M +3 more
europepmc +1 more source
Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics
Active gear‐based mechanical metamaterials enable simultaneous control of translational and torsional stiffnesses by 30–100×, break shear reciprocity under positive versus negative loads, broadly tune resonant frequencies, and offer programmable dynamic responses.
Xin Fang, Miao Yu, Dianlong Yu, Li Cheng
wiley +1 more source
DEMETRA-A Seismic Noise Survey at the Maccalube di Aragona Mud Volcanoes (Southern Italy): Results and Perspectives. [PDF]
Petrosino S +3 more
europepmc +1 more source
Current Protections and Future Threats to Say's Spiketail Habitat in the Southeastern USA
Dragonflies and damselflies are important indicators of ecological integrity and environmental quality but remain underrepresented in conservation efforts, in part due to a lack of quantitative information regarding their habitat requirements. Species distribution models (SDMs) can facilitate conservation planning by allowing researchers to estimate ...
J. Matthew Flenniken +2 more
wiley +1 more source
External Vibrations on Early‐Age Concrete: A Review
Scientific illustration of external vibration, their influencing properties and effects, possible outcomes and measures adapted. ABSTRACT Early‐age concrete exhibits limited mechanical strength, making it highly susceptible to external disturbances such as vibrations from construction activities, traffic, or nearby machinery which can disrupt internal ...
Parvathy Kizhakkiniyedath Mohanan +1 more
wiley +1 more source
Sources of seismic noise in an open-pit mining environment. [PDF]
Diaz J +8 more
europepmc +1 more source
Integrated VES, ERI, and MASW surveys, constrained by boreholes, delineate a central low‐resistivity/low‐V s weak corridor and more competent volcanic strata at depth. The eastern sector offers preferable foundation conditions, while identified weak zones require ground improvement or deep foundations to mitigate differential‐settlement risk.
Alemayehu Ayele +2 more
wiley +1 more source
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra +4 more
wiley +1 more source

