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8,020 results for “pilot”
Australian long-finned pilot whales (Globicephala melas) emit stereotypical, variable, biphonic, multi-component, and sequenced vocalisations, similar to those recorded in the northern hemisphere
<p>While in the northern hemisphere, many studies have been conducted on the vocal repertoire of long-finned pilot whales (<i>Globicephala melas</i>), no such study has been conducted in the southern hemisphere. Presented here, is the first study on the vocalisations of long-finned pilot whales along the southern coast of mainland Australia. Multiple measures were taken of<b> </b>2 028 vocalisations recorded over five years in several locations. These vocalisations included tonal sounds with and without overtones, sounds of burst-pulse character, graded sounds, biphonations, and calls of multiple components. Vocalisations were further categorised based on spectrographic features into 18 contour classes. Altogether, vocalisations ranged from approximately 200 Hz to 25 kHz in fundamental frequency and from 0.03 s to 2.07 s in duration. These measures compared well with those from northern hemisphere pilot whales. Some call types were almost identical to northern hemisphere vocalisations, even though the geographic ranges of the two populations are far apart. Other call types were unique to Australia. Striking similarities with calls of short-finned pilot whales (<i>Globicephala macrorhynchus</i>) and sometimes sympatric killer whales (<i>Orcinus orca</i>) were also found. Theories for call convergence and divergence are discussed.</p>
Pilot implementation, monitoring, co-evaluation and validation data_v2
<p>These data have been collected in the context of monitoring and assessing the pilot operation of the INVITE project (H2020 GA 763651) and its OI2Lab platform during their 2nd deployment round.</p>
VR-Together pilot 3: Video Composition (scene 2)
<p>VR-Together Pilot 3 video composition: scene 2.</p> <p>Video composition of the second scene of the <a href="https://vrtogether.eu/about-vr-together/pilots/pilot3/">Pilot 3 of the VR-Together project</a>.</p> <ul> <li>Dimensions: 3840x2160</li> <li>Codec: Timecode, Linear PCM, H.264</li> <li>Duration: 01:52</li> <li>Audio: Stereo</li> </ul> <p>VR-Together has been funded by the European Commission as part of the H2020 program, under the grant agreement 762111.</p>
FIGURE 12. Chasmias motatorius, female habitus. A. Lateral view. B in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 12. Chasmias motatorius, female habitus. A. Lateral view. B. Dorsal view. Scale bar = 1 mm.
FIGURE 9. Aoplus altercator, female habitus. A. Lateral view. B in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 9. Aoplus altercator, female habitus. A. Lateral view. B. Dorsal view. Scale bar = 1 mm.
FIGURE 4 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 4. Seasonal presence (total) of adult Ichneumoninae in the Ukrainian Carpathians.
FIGURE 2 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 2. The Carpathian Ichneumoninae species richness in different tribes.
FIGURE 3 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 3. High-altitude zone distribution of Ichneumoninae species in the Ukrainian Carpathians.
FIGURE 26 in A pilot study of the Carpathian ichneumonine parasitoids (Hymenopera, Ichneumonidae: Ichneumoninae) reveals eighty-eight new records for Ukraine
FIGURE 26. Ichneumon simulans, lateral view of habitus. A. Female. B. Male. Scale bar = 0.5 mm.
Data from: The proportion of clinically relevant alarms decreases as patient clinical severity decreases in intensive care units: a pilot study
Objectives: To determine (1) the proportion and number of clinically relevant alarms based on the type of monitoring device; (2) whether patient clinical severity, based on the sequential organ failure assessment (SOFA) score, affects the proportion of clinically relevant alarms and to suggest; (3) methods for reducing clinically irrelevant alarms in an intensive care unit (ICU). Design: A prospective, observational clinical study. Setting: A medical ICU at the University of Tokyo Hospital in Tokyo, Japan. Participants: All patients who were admitted directly to the ICU, aged ≥18 years, and not refused active treatment were registered between January and February 2012. Methods: The alarms, alarm settings, alarm messages, waveforms and video recordings were acquired in real time and saved continuously. All alarms were annotated with respect to technical and clinical validity. Results: 18 ICU patients were monitored. During 2697 patient-monitored hours, 11 591 alarms were annotated. Only 740 (6.4%) alarms were considered to be clinically relevant. The monitoring devices that triggered alarms the most often were the direct measurement of arterial pressure (33.5%), oxygen saturation (24.2%), and electrocardiogram (22.9%). The numbers of relevant alarms were 12.4% (direct measurement of arterial pressure), 2.4% (oxygen saturation) and 5.3% (electrocardiogram). Positive correlations were established between patient clinical severities and the proportion of relevant alarms. The total number of irrelevant alarms could be reduced by 21.4% by evaluating their technical relevance. Conclusions: We demonstrated that (1) the types of devices that alarm the most frequently were direct measurements of arterial pressure, oxygen saturation and ECG, and most of those alarms were not clinically relevant; (2) the proportion of clinically relevant alarms decreased as the patients' status improved and (3) the irrelevance alarms can be considerably reduced by evaluating their technical relevance.
Data from: Public sharing of research datasets: a pilot study of associations
The public sharing of primary research datasets potentially benefits the research community but is not yet common practice. In this pilot study, we analyzed whether data sharing frequency was associated with funder and publisher requirements, journal impact factor, or investigator experience and impact. Across 397 recent biomedical microarray studies, we found investigators were more likely to publicly share their raw dataset when their study was published in a high-impact journal and when the first or last authors had high levels of career experience and impact. We estimate the USA's National Institutes of Health (NIH) data sharing policy applied to 19% of the studies in our cohort; being subject to the NIH data sharing plan requirement was not found to correlate with increased data sharing behavior in multivariate logistic regression analysis. Studies published in journals that required a database submission accession number as a condition of publication were more likely to share their data, but this trend was not statistically significant. These early results will inform our ongoing larger analysis, and hopefully contribute to the development of more effective data sharing initiatives. **Earlier version presented at ASIS&T and ISSI Pre-Conference: Symposium on Informetrics and Scientometrics 2009**
Data from: Serum levels of endothelial glycocalyx constituents in women at 20 weeks' gestation who later develop gestational diabetes mellitus compared to matched controls: a pilot study
Objectives: The aim of this pilot study was to determine the serum concentration of heparan sulfate, hyaluronan, chondroitin sulfate and syndecan-1 and if these serum concentrations can be used to identify women at 20 weeks' gestation who later develop gestational diabetes mellitus (GDM). Design: Nested case–control study from Auckland, New Zealand participants in the prospective cohort Screening for Pregnancy Endpoints study. Setting: Auckland, New Zealand. Participants: 20 pregnant women (70% European, 15% Indian, 10% Asian, 5% Pacific Islander) at 20 weeks' gestation without any hypertensive complications who developed GDM by existing New Zealand criteria defined as a fasting glucose ≥5.5 mmol/L and/or 2 hours ≥9.0 mmol/L after a 75 g Oral Glucose Tolerance Test. Women not meeting these criteria were excluded from this study. The patients with GDM were matched with 20 women who had uncomplicated pregnancies and negative screening for GDM and matched for ethnicity, maternal age and BMI. Primary and secondary outcome measures: The primary measures were the serum concentrations of syndecan-1, heparan sulfate, hyaluronan and chondroitin sulfate determined by quantitative ELISA. There were no secondary outcome measures. Results: Binary logistic regression was performed to determine if serum concentrations of endothelial glycocalyx layer constituents in women at 20 weeks' gestation would be useful in predicting the subsequent diagnosis of GDM. The model was not statistically significant χ2=12.5, df=8, p=0.13, which indicates that the model was unable to distinguish between pregnant women at 20 weeks' gestation who later developed GDM and those who did not. Conclusions: Serum concentrations of syndecan-1, heparan sulfate, hyaluronan and chondroitin sulfate in pregnant women at 20 weeks' gestation were not associated with later development of GDM. To further explore whether there is any relationship between endothelial glycocalyx constituents and GDM, the next step is to evaluate serum concentrations at the time diagnosis of GDM.
Data from: Handover training for medical students – a controlled educational trial of a pilot curriculum
Background: Handovers are a critical point of patient care and a significant source of adverse events. The WHO patient safety curriculum provides some structure for handover teaching; in Europe, there is no standardized curriculum for undergraduate handover training. To address this, the Aachen Interdisciplinary Training Centre for Medical Education, developed and established a pilot curriculum for handover training in the context of the EU-funded PATIENT-project Objective: To develop and implement a handover curriculum for medical students and to assess its effect on students' awareness, confidence and knowledge regarding patient safety and handover in multiple settings. Methods: The pilot handover training curriculum was designed following Kern´s principles of curriculum development and was integrated into a curricular course led by departments for anesthesiology and intensive care (AI) at the University Hospital. A controlled educational research study was conducted with 4th year medical students (n=147) who either received the standard existing curriculum (no teaching of handover, n=78) or the pilot handover training (n=69). Paper-based questionnaires regarding attitude, confidence and knowledge towards handover and patient safety were used for pre- and post-assessment. The pilot curriculum consisted of 3 units (1-2 hours each) integrated into a 4-week course of AI. Multiple types of handover (end-of-shift, operating room/post anesthesia recovery unit/ICU, telephone, discharge) were addressed. Results: Students showed a significant increase in knowledge (p<0.01) and self-confidence for the use of standardized handover tools (p<0.01) and accurate handover performance (p<0.01) among the pilot group. Discussion/Conclusion: We developed and implemented a pilot curriculum for undergraduate handover training. Students displayed a significant increase in knowledge and self-confidence for the use of standardized handover tools and accurate handover performance. An evaluation of the curriculum by other faculties is needed. Further studies should evaluate whether the observed effect of a specific handover strategy is associated with a patient benefit.
The Feasibility of a Behavioral Group Intervention After Weight-Loss Surgery: A Randomized Pilot Trial
<p><b>Background:</b> Formal psychosocial support programs after weight-loss surgery are limited in scope and availability. <b>Objective:</b> This randomized pilot study evaluated the feasibility of a postoperative behavioral intervention program. <b>Materials and</b> <b>Methods</b>: Postoperative weight-loss surgery patients (<i>N </i>= 50) were recruited from February 2017–July 2017 and randomized to a four-month behavioral program or usual care wait-list. Outcomes evaluated in addition to feasibility included health-related quality of life (Short Form -36), psychosocial functioning and adherence. Secondary outcomes included within-group changes for each outcome.<b> Results</b>: Out of eight possible sessions, intervention participants attended a mean of 4.2 sessions. Intervention group participants experienced greater improvements in the social functioning domain of health-related quality of life compared to usual care. Self-reported dietary adherence in the intervention group remained stable, while usual care group dietary adherence declined. Within the intervention group, participants also reported gains in the physical function, pain and general health aspects of quality life from baseline to post-treatment. No differences in weight, mood or other eating behaviors (e.g., loss of control, emotional eating) were evident between groups. <b>Conclusion:</b> Though participation in a postoperative behavioral intervention varied, the program helped participants to maintain aspects of quality of life and self-reported adherence to dietary recommendations.</p>
Figure S.4.3. Dynamic weekly suitability map for short-finned pilot whales around São Miguel island, Azores.
<p>Dynamic weekly suitability map for short-finned pilot whales around São Miguel island, Azores.</p>
Dataset for AI Co-pilot Bronchoscope Robot
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A Laparoscopic left-sided approach combined with the counterclockwise dissection method for complex tumors located in caudate lobe: A pilot study
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H-κ-c results in central-southern Tibetan Plateau and receiver functions from GANSSER, Butan Pilot Array, and 5 INDEPTH IV stations
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Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)
<p><strong>Datasets for PILOT</strong></p> <p>Although clinical applications represent the next challenge in single-cell genomics and digital pathology, we are still lacking computational methods for the analysis of single-cell and pathomics data at a patient level for finding patient trajectories associated with diseases. This is challenging as a single-cell/pathomics data is represented by clusters of cells/structures, which cannot be compared with other samples. We propose here patient Level analysis with Optimal Transport (PILOT). PILOT uses optimal transport to compute the Wasserstein distance between two single single-cell experiments. This allows us to perform unsupervised analysis at the sample level and to uncover trajectories associated with disease progression. Moreover, PILOT provides a statistical approach to delineate non-linear changes in cell populations, gene expression and tissues structures related to the disease trajectories. We evaluate PILOT and competing approaches in disease single-cell genomics and pathomics studies with up to 1.000 patients/donors and millions of cells or structures. Results demonstrate that PILOT detects disease-associated samples, cells, and genes from large and complex single-cell and pathomics data.</p>
Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Plant-flower visitor interactions recorded in 49 sites in Argentina (Buenos Aires: Carlos Casares county) by Marcos Monasterolo (2013-15) and Antonio López Carretero (2016).
<h3>Abstract</h3> <p>Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/gonzalez-vaquero2023) has size 1.95MiB and contains 2471 interactions with 1 unique types of associations (e.g., flowersVisitedBy) between 77 primary taxa (e.g., Hirschfeldia incana) and 141 associated taxa (e.g., Palpada). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.</p> <p>Please note that the pilot contributors have opted to shared their review and metadata only. This means that data appendices in the data review are not openly available. The data associated are published in the restricted review data publication at </p> <table> <tbody> <tr> <td><strong>filename</strong></td> <td><strong>description</strong></td> </tr> <tr> <td>index.pdf</td> <td>data review report as pdf</td> </tr> <tr> <td>index.docx</td> <td>data review report as docx</td> </tr> <tr> <td>index.md</td> <td>data review report as markdown</td> </tr> <tr> <td>index.html</td> <td>data review report as html</td> </tr> </tbody> </table>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.