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132 results for “Swift”
Egg Ejection in the Black Swift (Cypseloides niger)
<p><span>This article documents a deliberate egg ejection from a Black Swift nest. At 13:32 hours on June 25, 2023, the egg was laid, as captured by a surveillance camera with infrared capabilities at Box Canyon Falls, Ouray, Colorado. Unusually, from June 25 to July 1, the male was never at the nest, so incubation was performed only by the female at night, the egg remaining uncovered all day for 6 days while the female foraged. On July 1, a male (unmarked but presumed to be the nest mate of the female) returned to the nest and sat on the nest cup and egg. The female arrived a few minutes later, appeared agitated and performed a hostile wing-raising display, and aggressively pecked at the male's face and head until he moved aside, placing much of his body in a crack at the left side of the nest. The female then focused on the nest cup and the egg, repeatedly trying to move the egg closer and grasp it in her beak. At 20:41 hours, the female picked up the egg in her beak and quickly tossed it over the side of the nest. </span></p>
FIGURE 3 in Cytotaxonomic diagnoses of two Neotropical swift species: Streptoprocne biscutata and Streptoprocne zonaris (Aves: Apodidae)
FIGURE 3. Chromosomes of Streptoprocne zonaris. a. A mitoticmetaphase showing the macro and microchromosomes. b. Partial karyotypical macrostructure.
FIGURE 2 in Cytotaxonomic diagnoses of two Neotropical swift species: Streptoprocne biscutata and Streptoprocne zonaris (Aves: Apodidae)
FIGURE 2 – Chromosomes of Streptoprocne biscutata. a. A mitoticmetaphase showing the macro and microchromosomes. b. Partial karyotypical macrostructure.
FIGURE 1 in Cytotaxonomic diagnoses of two Neotropical swift species: Streptoprocne biscutata and Streptoprocne zonaris (Aves: Apodidae)
FIGURE 1. Geographic localization of the Vila Velha Statewide Park, Ponta Grossa, state of Paraná, South of Brazil.
Data from: Effect of light-level geolocators on apparent survival of two highly aerial swift species
Light-level geolocators are currently widely used to track the migration of small-sized birds, but their potentially detrimental effects on survival of highly aerial species have been poorly investigated so far. We recorded capture-recapture histories of 283 common swifts Apus apus and 107 pallid swifts Apus pallidus breeding in 14 colonies in Italy, Spain, Sweden and Switzerland that were deployed with 10 different types of geolocators ('geolocator birds'), and compared their survival with that of, respectively, 215 common and 101 pallid swifts not equipped with geolocators ('control birds'). We performed both traditional GLMM using return rate as a proxy for survival and mark-recapture models to estimate survival while accounting for recapture probability. In all the analyses, geolocator birds showed reduced apparent survival compared to controls. The extent of the negative effect on survival differed between the species but the direction of the difference between species was opposite in either type of analysis. Geolocator weight was always lower 3% of body mass or less, and did not affect survival per se. Geolocators with a light-stalk, which is used in some geolocator models to reduce light sensor shading by feathers, decreased apparent survival more than models without light-stalk. Apparent survival of geolocator birds significantly varied among sites, being much higher in northern Europe. Despite in our analyses we could only partly account for variable recapture probabilities among sites and for inter-annual variability in survival, our results generally showed that equipping swifts with geolocators decreased their survival prospects, but also that the magnitude of this effect may depend on species-specific traits. These conclusions are in line with those of other studies on aerial foragers. We suggest that future studies tracking the movements of aerial insectivorous birds should use devices designed to minimize drag.
Chimney Swift processed dataset from "Unraveling hidden interactions in complex systems with deep learning"
<p>Pre-processed dataset of chimney swift trajectory from the paper "<a href="https://www.nature.com/articles/s41598-021-91878-w">Unraveling hidden interactions in complex systems with deep learning</a>"(https://www.nature.com/articles/s41598-021-91878-w). The original data is provided by "Three-dimensional trajectories and network analyses of group behaviour within chimney swift flocks during approaches to the roost" (<a href="https://doi.org/10.1098/rspb.2016.2602">https://doi.org/10.1098/rspb.2016.2602</a>).</p> <p>Needs to be placed at "./data/Flock/system" in order to properly generate the dataset (See https://github.com/nokpil/AgentNet).</p>
Evolution of chain migration in an aerial insectivorous bird, the common swift Apus apus
Spectacular long-distance migration has evolved repeatedly in animals enabling exploration of resources separated in time and space. In birds, these patterns are largely driven by seasonality, cost of migration, and asymmetries in competition leading most often to leap-frog migration, where northern breeding populations winter furthest to the south. Here we show that the highly aerial common swift Apus apus, spending the non-breeding period on the wing, instead exhibits a rarely-found chain migration pattern, where the most southern breeding populations in Europe migrate to wintering areas furthest to the south in Africa, while the northern populations winter to the north. The swifts concentrated in three major areas in sub-Saharan Africa during the non-breeding period, with substantial overlap for nearby breeding populations. We found that the southern breeding swifts were larger, raised more young, and arrived to the wintering areas with higher seasonal variation in greenness (Normalized Difference Vegetation Index, NDVI) earlier than the northern breeding swifts. This unusual chain migration pattern in common swifts is largely driven by differential annual timing and we suggest it evolves by prior occupancy and dominance by size in the breeding quarters and by prior occupancy combined with diffuse competition in the winter.
One-Stop manaGemEnT For A Swift Initiation of Endovascular Therapy
ClinicalTrials.gov study NCT07052045. IPD Sharing: YES. Countries: 2. Publications: 2.
Pilot Study of Swift Microwave Device for Onychomycosis
ClinicalTrials.gov study NCT05674747. IPD Sharing: NO. Countries: 1. Publications: 1.
Severe Women Injury Factors Test (SWIFT)
ClinicalTrials.gov study NCT04829474. IPD Sharing: Not stated. Countries: 1. Publications: 5.
SWIFT - SWIss Factor XIII Trial in PPH
ClinicalTrials.gov study NCT06481995. IPD Sharing: YES. Countries: 1. Publications: 8.
The Stroke Warning Information and Faster Treatment Study (SWIFT)
ClinicalTrials.gov study NCT00415389. IPD Sharing: Not stated. Countries: 1. Publications: 3.
SWIFT: Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy
ClinicalTrials.gov study NCT01967030. IPD Sharing: Not stated. Countries: 1. Publications: 23.
Surgical Weight-Loss to Improve Functional Status Trajectories Following Total Knee Arthroplasty (SWIFT Trial)
ClinicalTrials.gov study NCT02598531. IPD Sharing: NO. Countries: 1. Publications: 18.
Watch and Wait Management on Rectal Cancer Patients Using New Swift Local Therapy
ClinicalTrials.gov study NCT04336202. IPD Sharing: NO. Countries: 1. Publications: 6.
Data from: Exploiting the richest patch has a fitness pay-off for the migratory swift parrot
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Data from: Effect of light-level geolocators on apparent survival of two highly aerial swift species
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Evolution of chain migration in an aerial insectivorous bird, the common swift Apus apus
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Data from: Non‐breeding flight activity in pallid swifts Apus pallidus
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Data from: ‘Same procedure as last year?' Repeatedly tracked swifts show individual consistency in migration pattern in successive years
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