Results 121 to 130 of about 26,331 (262)

The impact of psychological distance on preferences for prenatal screening and diagnosis for chromosomal abnormalities: A hierarchical Bayes analysis of a discrete choice experiment. [PDF]

PLoS One
Mohammadi T, Zhang W, Anis AH.
europepmc   +1 more source

The FGF/FGFR System in the Biology and Therapeutic Landscape of Pediatric CNS Tumors

Medicinal Research Reviews, EarlyView.
ABSTRACT Central nervous system (CNS) tumors are the most common solid malignancies in children, comprising a highly heterogeneous group of neoplasms defined by distinct molecular alterations and clinical behaviors. Advances in molecular genetics have underscored the relevance of specific signaling pathways in driving pediatric tumorigenesis, among ...
Serena Filiberti, Camilla Tavani, Elena Somenza, Nicolas Tassone, Antonio d'Amati, Marta Turati, Roberto Ronca   +6 more
wiley   +1 more source

Perspectives and behaviors surrounding planting practices in North America inform genetic conservation realities for American ginseng (Panax quinquefolius)

PLANTS, PEOPLE, PLANET, EarlyView.
American ginseng is a shade‐obligate, North American medicinal plant that is widely traded and used internationally. To meet global demand, ginseng is cultivated in forest farms in the Appalachian region of the USA and field‐based artificial shade farms in two regions: Ontario, Canada and Wisconsin, USA. We conducted social research leveraging in‐depth
Rachel E. Palkovitz, Mary K. Shenk, Eric P. Burkhart   +2 more
wiley   +1 more source

Using hierarchical bayes to understand movement, health, and survival in the endangered north atlantic right whale. [PDF]

PLoS One, 2013
Schick RS, Kraus SD, Rolland RM, Knowlton AR, Hamilton PK, Pettis HM, Kenney RD, Clark JS.   +7 more
europepmc   +1 more source

Seedling resistance and chemical defenses against Psylliodes chrysocephala: the roles of seed age and sinapinic acid in Sinapis alba and Brassica napus

Pest Management Science, EarlyView.
The cabbage stem flea beetle (Psylliodes chrysocephala) is a major pest of winter oilseed rape (Brassica napus). We tested B. napus and Sinapis alba seedlings for feeding resistance and underlying chemical defenses. S. alba was least damaged, while metabolite profiles revealed resistance‐linked compounds, highlighting breeding potential for insect ...
Daniel Rüde, Samantha M Cook, Bernd Ulber, Tobias Pöhnl, Michael Rostás   +4 more
wiley   +1 more source

Big Bird: A global dataset of birds in drone imagery annotated to species level

Remote Sensing in Ecology and Conservation, EarlyView.
Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson, Tatsuya Amano, Thomas Bregnballe, Alejandro Corregidor‐Castro, Roxane Francis, Diego Gallego‐García, Jarrod C. Hodgson, Landon R. Jones, César R. Luque‐Fernández, Dominik Marchowski, John McEvoy, Ann E. McKellar, W. Chris Oosthuizen, Christian Pfeifer, Martin Renner, José Hernán Sarasola, Mateo Sokač, Roberto Valle, Adam Zbyryt, Richard A. Fuller   +19 more
wiley   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +1 more source

Reliability, bias, and computational cost of estimating the Bayes factor using bridge sampling and the Savage-Dickey density ratio. [PDF]

Behav Res Methods
Oberauer K, Musfeld P, Aust F.
europepmc   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Multiscale parcellation of dynamic causal models of the brain. [PDF]

Imaging Neurosci (Camb)
Zarghami TS.
europepmc   +1 more source