Results 151 to 160 of about 37,712 (344)

Nanofiber PVA‐Based Membranes Incorporating Functionalized Spanish Broom Derivatives for Sustainable Water Purification

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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

The sources and transport model of deep-sea sediment in the Southwest Sub-basin of the South China Sea

open access: yesFrontiers in Marine Science
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]

open access: yes, 2010
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  

The In Vitro Transgenic Rodent Assay in Primary MutaMouse Hepatocytes Compared to the Mammalian Cell Gene Mutation Assay Using the HPRT Gene

open access: yesEnvironmental and Molecular Mutagenesis, EarlyView.
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]

open access: yes, 2003
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  

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

open access: yesEnergy Science &Engineering, EarlyView.
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

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