Results 101 to 110 of about 74,533 (314)

The bird communities of three disused quarries on the Magnesian limestone of Durham county [PDF]

open access: yes, 1992
In order to assess the ornithological importance of three disused quarries on the Magnesian Limestone escarpment in Durham county the distribution and abundance of the breeding birds were examined using the CBC technique.
Underhill, Mark
core  

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula   +10 more
wiley   +1 more source

Linking Canadian Harvested Juvenile American Black Ducks to Their Natal Areas Using Stable Isotope (δD, δ13C, and δ15N) Methods

open access: yesAvian Conservation and Ecology, 2010
Understanding source-sink dynamics of game birds is essential to harvest and habitat management but acquiring this information is often logistically and financially challenging using traditional methods of population surveys and banding studies.
Paul Ashley   +4 more
doaj   +1 more source

Capital and income breeding : the role of food supply [PDF]

open access: yes, 2014
This work was funded by the Natural Environment Research Council (grant number 2003/00616). A. I. Houston and J. M. McNamara were supported by Leverhulme Trust fellowships; A. I.
Stephens, P.A.   +14 more
core   +1 more source

Explainable AI‐Driven Optimization of Electrode Activation Reduces Power Consumption While Preserving Object Recognition in Retinal Prostheses

open access: yesAdvanced Intelligent Systems, EarlyView.
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley   +1 more source

A Neuromorphic Simulation Framework for Indium‐Gallium‐Zinc‐Oxide Charge‐Trap Synaptic Transistors: From Device Modeling to System Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun   +5 more
wiley   +1 more source

Eastern grasslands: Conservation challenges and opportunities on private lands

open access: yesWildlife Society Bulletin, 2019
Grasslands were once common in the eastern United States and provided habitat for numerous grassland‐dependent wildlife. However, native grasslands in this region have largely been eliminated as a result of conversion to other land uses (e.g., urban ...
Patrick D. Keyser   +6 more
doaj   +1 more source

No apparent gain from continuing migration for more than 3000 kilometres: willow warblers breeding in Denmark winter across the entire northern Savannah as revealed by geolocators

open access: yesMovement Ecology, 2017
Background For most Afro-Palearctic migrants, particularly small songbirds, spatiotemporal migration schedules and migratory connectivity remain poorly understood.
Mathilde Lerche-Jørgensen   +4 more
doaj   +1 more source

Characteristics of breeding passerine communities at Earlshallmuir and Tentsmuir, North-East Fife

open access: yes, 2012
The literature pertaining to a variety of methods for estimating the abundances of songbirds is reviewed, and the use of two of the main methods - mapping and transects - is described and discussed. The mapping method is found to be the most efficient
Dougall, Thomas William
core  

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang   +6 more
wiley   +1 more source

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