Results 151 to 160 of about 37,712 (344)
Abstract: Filling of intraslope basins by turbidity currents: results from experimental simulations
Ben Sheets Thomas A. Hickson
openalex +1 more source
This study investigates Spanish broom (Spartium junceum) as a renewable source for electrospun composite membranes in sustainable water purification. MCC and biochar were functionalized with eco‐friendly precursors and nanomaterials (i.e., HNT, β‐CDs) to develop hybrid PVA nanofiber composites.
Giulia Rando +7 more
wiley +1 more source
Turbidity current deposition belongs to event deposition, which is of great significance to the study of neotectonic movement. However, turbidite deposits are rarely found in deep-sea basins.
Zhourong Cai +12 more
doaj +1 more source
Ocean Processes Feeder Report [PDF]
We assess the physical state of the UK’s seas and so provide a context for the clean, healthy, safe, productive and biologically diverse aspects in the other Charting Progress 2 Feeder Reports.
Huthnance, John
core
ABSTRACT Gene mutations can be detected in mammalian cells in vitro using indicator genes such as the hypoxanthine‐guanine‐phosphoribosyltransferase (HPRT) gene. These assays have been adopted as OECD test guidelines (TG, e.g., OECD TG no. 476) and are used for regulatory purposes.
Alina Göpfert +5 more
wiley +1 more source
Factors affecting estuarine populations of Nereocystis luetkeana in Kachemak Bay, Alaska [PDF]
Thesis (M.S.) University of Alaska Fairbanks, 2003Nereocystis luetkeana forms extensive kelp beds in Kachemak Bay, Alaska. Salinity and turbidity gradients apparently regulate kelp bed distribution throughout this estuary.
Chenelot, Héloïse Anne Claude
core
The timing and frequency of large-volume submarine landslides and turbidity currents along the north-eastern Atlantic Margin [PDF]
Joshua R. Allin
openalex
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker +4 more
wiley +1 more source

