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53 results for “Merits”
FIGURE 8 in Does the Garra population (Teleostei: Cyprinidae: Labeoninae) from the Kol River drainage, Persian Gulf basin merit formal description?
FIGURE 8. Lateral view of caudal skeleton in a, Garra (Kol River) and b, G. mondica. Ans: Accessory Nural Spine; Epu: epural; Hp1–6: hypural plates 1–6; Hsp: hemal spine; Ns: neural spine; Pah: Parhypural; Pus: pleurostyle; Rna: rudimentary neural arch; Urn: uroneural.
FIGURE 5 in Does the Garra population (Teleostei: Cyprinidae: Labeoninae) from the Kol River drainage, Persian Gulf basin merit formal description?
FIGURE 5. Ventral view of head of a Garra specimen ZM-CBSU E812, 87 mm SL; Iran: Kol River drainage, Golabi spring.
FIGURE 7 in Does the Garra population (Teleostei: Cyprinidae: Labeoninae) from the Kol River drainage, Persian Gulf basin merit formal description?
FIGURE 7. Lateral view of infraorbital skeleton in a, Garra (Kol River) and b, G. mondica. Lac: lachrymal; Io2–3: infraorbitals; Ioc: infraorbital sensory canal.
FIGURE 1 in Does the Garra population (Teleostei: Cyprinidae: Labeoninae) from the Kol River drainage, Persian Gulf basin merit formal description?
FIGURE 1. Maximum Likelihood and Bayesian phylogeny reconstructed based on 652 bp of COI 5' end. The values besides the branches before and after a slash are BI posterior and ML bootstrap probability values, respectively. Black bars to the right of
FIGURE 4 in Does the Garra population (Teleostei: Cyprinidae: Labeoninae) from the Kol River drainage, Persian Gulf basin merit formal description?
FIGURE 4. Ventral view of three Garra individuals of different sizes; a, ZM-CBSU E811, 92.3 mm SL; b, ZM-CBSU E814, 80.4 mm SL; c, ZM-CBSU E818, 61.4 mm SL; Iran: Kol River tributary, Golabi spring.
The Merit Study (Manual Expression pRemature InfanTs)
ClinicalTrials.gov study NCT02776332. IPD Sharing: NO. Countries: 1. Publications: 9.
Societal Merit of Intervention on Hearing Loss Evaluation
ClinicalTrials.gov study NCT05525221. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Meriter Mindfulness Training for Smokers Program and Study
ClinicalTrials.gov study NCT02143752. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Merit WRAPSODY™ Endoprosthesis for Treatment of Stenosis or Occlusion (WRAP)
ClinicalTrials.gov study NCT05062291. IPD Sharing: NO. Countries: 9. Publications: 1.
Comparison of Merit Prelude Ideal and Terumo Glidesheath Slender Radial Artery Sheaths
ClinicalTrials.gov study NCT07218406. IPD Sharing: NO. Countries: 1. Publications: 0.
Data for "Figures of merit for stellarators near the magnetic axis"
<p>Data for figures in the paper "Figures of merit for stellarators near the magnetic axis"</p>
Data from: The assessment of science: the relative merits of post-publication review, the impact factor and the number of citations
Background: The assessment of scientific publications is an integral part of the scientific process. Here we investigate three methods of assessing the merit of a scientific paper: subjective post-publication peer review, the number of citations gained by a paper and the impact factor of the journal in which the article was published. Methodology/principle findings: We investigate these methods using two datasets in which subjective post-publication assessments of scientific publications have been made by experts. We find that there are moderate, but statistically significant, correlations between assessor scores, when two assessors have rated the same paper, and between assessor score and the number of citations a paper accrues. However, we show that assessor score depends strongly on the journal in which the paper is published, and that assessors tend to over-rate papers published in journals with high impact factors. If we control for this bias, we find that the correlation between assessor scores and between assessor score and the number of citations is weak, suggesting that scientists have little ability to judge either the intrinsic merit of a paper or its likely impact. We also show that the number of citations a paper receives is an extremely error-prone measure of scientific merit. Finally, we argue that the impact factor is likely to be a poor measure of merit, since it depends on subjective assessment. Conclusions: We conclude that the three measures of scientific merit considered here are poor; in particular subjective assessments are an error-prone, biased and expensive method by which to assess merit. We argue that the impact factor may be the most satisfactory of the methods we have considered, since it is a form of pre-publication review. However, we emphasise that it is likely to be a very error-prone measure of merit that is qualitative, not quantitative.
Data from: Linking genetic merit to sparse behavioral data: does behavior explain genetic variation for maternal care in Soay sheep?
Wild quantitative genetic studies have focused on a subset of traits (largely morphological and life-history), with others, such as behaviors, receiving much less attention. This is because it is challenging to obtain sufficient data, particularly for behaviors involving interactions between individuals. Here, we explore an indirect approach for pilot investigations of the role of genetic differences in generating variation in parental care. Variation in parental genetic effects for offspring performance is expected to arise from among-parent genetic variation in parental care. Therefore, we used the animal model to predict maternal breeding values for lamb growth and used these predictions to select females for field observation, where maternal and lamb behaviors were recorded. Higher predicted maternal breeding value for lamb growth was associated with greater suckling success, but not with any other measures of suckling behavior. Though our work cannot explicitly estimate the genetic basis of the specific traits involved, it does provide a strategy for hypothesis generation and refinement, that we hope could be used to justify data collection costs needed for confirmatory studies. Here results suggest that behavioral genetic variation is involved in generating maternal genetic effects on lamb growth in Soay sheep. Though important caveats and cautions apply, our approach may extend the ability to initiate more genetic investigations of difficult-to-study behaviours and social interactions in natural populations.
Data_Effects_and_correctability_of_pile_up_distortion_using_established_figures_of_merit_in_time_domain_diffuse_optics_at_extreme_photon_rates
Open the record for dataset details and reuse information.
Merit and Blame Assignment with Kind 2 (Demo video)
<p>This video presents new features of the open-source model checker <a href="http://kind.cs.uiowa.edu">Kind 2</a> which provide traceability information between specification and design elements. It illustrates the new functionality with an example and shows why this information is important to ensure the correct design of the system model.</p>
FIGURE 9. Golabi spring, a in Does the Garra population (Teleostei: Cyprinidae: Labeoninae) from the Kol River drainage, Persian Gulf basin merit formal description?
FIGURE 9. Golabi spring, a tributary of Kol River, Persian Gulf basin.
FIGURE 6 in Does the Garra population (Teleostei: Cyprinidae: Labeoninae) from the Kol River drainage, Persian Gulf basin merit formal description?
FIGURE 6. Live specimen of a Garra specimen, uncatalogued, about 80 mm SL; Iran: Golabi spring.
The Merit WRAPSODY™ Endovascular Stent Graft
ClinicalTrials.gov study NCT03644017. IPD Sharing: NO. Countries: 2. Publications: 0.
Merits of Performing a Modified Template Retroperitoneal Lymph Node Dissection
ClinicalTrials.gov study NCT00751140. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Merit WRAPSODY AV Access Efficacy Study (WAVE)
ClinicalTrials.gov study NCT04540302. IPD Sharing: Not stated. Countries: 4. Publications: 0.
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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