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704 results for “Interference”
Time Domain Transient Radio-Frequency Interference
<p>A labeled dataset of time-domain recordings of nine different transient RFI sources. Please see our journal paper (doi: 10.1002/2016RS006227) for more details.</p> <p> </p>
Fig. 1 in Interference Competition and Cannibalism by Dorcus rectus(Motschulsky) (Coleoptera: Lucanidae) Larvae in the Laboratory and Field
Fig. 1. Allometry of larval body mass (mg ) on head capsule
Human motor augmentation via an extra-robotic arm without functional interference
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Supplementary material 4 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Data files and R code
Supplementary material 3 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Wing interference patterns
Supplementary material 2 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Qualitative descriptions and materials examined for Parapanteles species included in this study
Supplementary material 1 from: Jin S, Parks KS, Janzen DH, Hallwachs W, Dyer LA, Whitfield JB (2023) The wing interference patterns (WIPs) of Parapanteles (Braconidae, Microgastrinae): demonstrating a powerful and accessible tool for species-level identification of small and clear winged insects. Journal of Hymenoptera Research 96: 967-982. https://doi.org/10.3897/jhr.96.111382
Taxonomic summary of published wing interference pattern images and/or descriptions
Kondo breakdown in multi-orbital Anderson lattices induced by destructive hybridization interference
<p>This directory includes data that was published in arXiv:2401.04540</p>
THE LEXICAL CHARACTERISTICS OF CANADIAN FRENCH INFLUENCED BY LANGUAGE INTERFERENCE
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HRMS files of two marine animal samples with interference peaks.
<p>HRMS data files from two marine animal samples (mgf files of interference peaks).</p>
Data from: Predator size affects the intensity of mutual interference in a predatory mirid
<p><span>Interference competition occurs when access to an available resource is negatively affected by interactions with other individuals, where mutual interference involves individuals of the same species. </span>The interactive phenomena among individuals may be size-dependent, since body size is a major factor that may alter prey consumption rates and ultimately the dynamics and structure of food webs. <span>A study was initiated in order to evaluate the effect of mutual interference in </span>the prey-specific attack rates and handling times of <span>same size class predators, </span>incorporating variation in consumer size.<span> For this purpose</span><span>, laboratory functional response experiments were conducted using same age predators, i.e. newly hatched (first instar) or mature (fifth instar) nymphs of the polyphagous mirid predator </span><i><span>Macrolophus pygmaeus</span></i><span> preying on </span><i><span>Ephestia kuehniella</span></i><span> (Lepidoptera: Pyralidae) eggs. The experiments involved four predator density treatments, i.e. one, two, three or four predators of same age, i.e. either first or fifth instar nymphs, which were exposed to several prey densities. The Crowley-Martin model, which allows for interference competition between foraging predators, was used to fit the data. The results showed that </span>mutual interference between <span>predator's nymphs </span>may occur that <span>affect their </span>foraging efficiency. <span>The values of the attack rate coefficient</span> <span>were dependent on the predator density and for the first instar nymphs was significantly lower at the highest predator density than the lower predator densities, whereas for the fifth instar nymphs in all density treatments was significantly lower to that of the individual foragers' ones. These results indicate that mutual interference is more intense for larger predators and is more obvious at low prey densities where the competition level is higher. The wider use of predator-dependent functional response models will help towards a mechanistic understanding of intraspecific interactions and its consequences on the stability and structure of food webs. </span></p>
Interference competition between wolves and coyotes during variable prey abundance
<ul> <li> <a name="_Hlk57016985"> Interference competition occurs when two species have similar resource requirements and one species is dominant and can suppress or exclude the subordinate species. </a>Wolves (<i>Canis lupus</i>) and coyotes (<i>C. latrans</i>) are sympatric across much of their range in North America where white-tailed deer (<i>Odocoileus virginianus</i>) can be an important prey species. We assessed the extent of niche overlap between wolves and coyotes using activity, diet, and space use as evidence for interference competition during 3 periods related to the availability of white-tailed deer fawns in the Upper Great Lakes region of the USA.</li> <li>We assessed activity overlap (Δ) with data from accelerometers onboard global positioning system (GPS) collars worn by wolves (<i>n</i> = 11) and coyotes (<i>n</i> = 13). We analyzed wolf and coyote scat to estimate dietary breadth (<i>B</i>) and food niche overlap (α). We used resource utilization functions (RUFs) with canid GPS location data, white-tailed deer RUFs, ruffed grouse (<i>Bonasa umbellus</i>) and snowshoe hare (<i>Lepus americanus</i>) densities, and landscape covariates to compare population-level space use.</li> <li>Wolves and coyotes exhibited considerable overlap in activity (Δ = 0.86–0.92), diet (<i>B</i> = 3.1–4.9; α = 0.76–1.0), and space use of active and inactive RUFs across time periods. Coyotes relied less on deer as prey compared to wolves and consumed greater amounts of smaller prey items. Coyotes exhibited greater population-level variation in space use compared to wolves. <a name="_Hlk57643527">Additionally, while active and inactive, coyotes exhibited greater selection of some land covers as compared to wolves.</a> </li> <li>Our findings lend support for interference competition between wolves and coyotes with significant overlap across resource attributes examined. The mechanisms through which wolves and coyotes coexist appear driven largely by how coyotes, a generalist species, exploit narrow differences in resource availability and display greater population-level plasticity in resource use.</li> </ul>
Figure 4 from: Rojanarata T, Maithongdee K, Yuwansri N, Kaewprasert S, Thanayutsiri T, Phadungcharoen N, Chinsriwongkul A (2022) Investigating matrix interference in the pharmacopeial limit test for aluminum in citric acid: a re-examination, for revision of the method. Pharmacia 69(1): 9-13. https://doi.org/10.3897/pharmacia.69.e78631
Figure 4 Concentration of aluminum in the aqueous phase in the extraction of 0.04 mg/ml aluminum solution prepared in water and in the solution containing 0.2 g/ml citric acid. Phase.
Figure 2 from: Rojanarata T, Maithongdee K, Yuwansri N, Kaewprasert S, Thanayutsiri T, Phadungcharoen N, Chinsriwongkul A (2022) Investigating matrix interference in the pharmacopeial limit test for aluminum in citric acid: a re-examination, for revision of the method. Pharmacia 69(1): 9-13. https://doi.org/10.3897/pharmacia.69.e78631
Figure 2 Effect of the concentration of citric acid co-existing in 0.04 mg/ml aluminum solution on the fluorescence intensity of the extract as measured using RF-6000 spectrofluorometer (Shimadzu).
Figure 7 from: Conrow RT, Gelhaus JK (2022) Wing interference patterns are consistent and sexually dimorphic in the four families of crane flies (Diptera, Tipuloidea). ZooKeys 1080: 135-163. https://doi.org/10.3897/zookeys.1080.69060
Figure 7 Wing Interference Pattern on excised wings of male/ female pair of two species of TipuloideaANephrotoma ferruguina female BNephrotoma ferruguina male CNephrotoma macrocera female DNephrotoma macrocera male ENephrotoma virscens female FNephrotoma virscens male. Scale bars: 1.0 mm.
Figure 9 from: Conrow RT, Gelhaus JK (2022) Wing interference patterns are consistent and sexually dimorphic in the four families of crane flies (Diptera, Tipuloidea). ZooKeys 1080: 135-163. https://doi.org/10.3897/zookeys.1080.69060
Figure 9 Images showing WIP on several species of crane fly in nature A male Tipula (Yamatotipula) aprilina Alexander, 1918 displaying WIP in nature B female Tipula (Yamatotipula) aprilina displaying WIP in nature C pair of Gnophomyia tristissima perched on a leaf in copula. Both flies are displaying their sexually dimorphic WIP. The female (bottom) has a blue WIP while the male (top) displays a green WIPD an individual of Elliptera clausa Osten Sacken, 1877 displaying a WIP with wings folded. Sex unknown. Copyright (A, B) 2021, photograph JK Gelhaus; (C) 2020, photograph Katja Schulz, used with permission by the artist and under a creative commons license (https://creativecommons.org/licenses/by/4.0/) with alterations limited to cropping and resizing of this image; (D) 2016, photograph JK Gelhaus. Images are not to scale.
Figure 6 from: Conrow RT, Gelhaus JK (2022) Wing interference patterns are consistent and sexually dimorphic in the four families of crane flies (Diptera, Tipuloidea). ZooKeys 1080: 135-163. https://doi.org/10.3897/zookeys.1080.69060
Figure 6 Wing Interference Pattern on excised wings of male/ female pair of two species of TipuloideaABrachypremna dispellens female BBrachypremna dispellens male CHolorusia hespera female DHolorusia hespera male. Scale bars: 1.0 mm (A, B), 1.0 cm (C, D).
Figure 5 from: Conrow RT, Gelhaus JK (2022) Wing interference patterns are consistent and sexually dimorphic in the four families of crane flies (Diptera, Tipuloidea). ZooKeys 1080: 135-163. https://doi.org/10.3897/zookeys.1080.69060
Figure 5 Wing Interference Pattern on excised wings of male/ female pair of two species of TipuloideaATricyphona inconstans inconstans female BTricyphona inconstans inconstans male CDolichopeza obscura female DDolichopeza obscura male. Scale bars: 1.0 mm.
Figure 4 from: Conrow RT, Gelhaus JK (2022) Wing interference patterns are consistent and sexually dimorphic in the four families of crane flies (Diptera, Tipuloidea). ZooKeys 1080: 135-163. https://doi.org/10.3897/zookeys.1080.69060
Figure 4 Wing Interference Pattern on excised wings of male/ female pair of two species of TipuloideaADactylolabis cubitalis female BDactylolabis cubitalis male CDicranomyia liberta female DDicranomyia liberta male. Scale bars: 1.0 mm.
Figure 3 from: Conrow RT, Gelhaus JK (2022) Wing interference patterns are consistent and sexually dimorphic in the four families of crane flies (Diptera, Tipuloidea). ZooKeys 1080: 135-163. https://doi.org/10.3897/zookeys.1080.69060
Figure 3 Wing Interference Pattern on excised wings of male/ female pair of two species of Tipuloidea. Excised wings of a male/ female pair of two species of crane flies. Wings were excised, flattened between a glass slide and cover slip, and photographed under a microscope using transmitted light ACylindrotoma distinctissima female BCylindrotoma distinctissima male CGnophomyia tristissima female DGnophomyia tristissima male. Scale bars: 1.0 mm.
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