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647 results for “Aspiration”
Overview of surveys on migration aspirations, plans, and intentions.
<p>This is a dataset of metadata on surveys. It is the first comprehensive overview of existing survey data on migration aspirations, plans and intentions, with recorded metadata on geographic and temporal coverage, survey population, sample size, and other characteristics.</p>
NEON Provisional aquatic biology and single aspirated air temperature data 2020-2021
NEON field and taxonomic and abundance data for the periphyton (DP1.20166.001), macroinvertebrate (DP1.20120.001), and zooplankton (DP1.20219.001) collection for all aqatic sites, as well as single aspirated air temperature for 15 sites, were downloaded from the NEON data portal. Provisional data, not included in the 2022 data release, are included in this upload. Data are from all 34 aquatic sites across the network. Data are from NEON sources only. NEON is sponsored by the National Science Foundation (NSF) and operated under a cooperative agreement by Battelle. This material is based in part upon work supported by NSF through the NEON Program. NEON (National Ecological Observatory Network). Periphyton, seston, and phytoplankton collection (DP1.20166.001). https://data.neonscience.org (accessed March 12, 2022) NEON (National Ecological Observatory Network). Macroinvertebrate collection (DP1.20120.001). https://data.neonscience.org (accessed March 12, 2022) NEON (National Ecological Observatory Network). Zooplankton collection (DP1.20219.001). https://data.neonscience.org (accessed March 12, 2022) NEON (National Ecological Observatory Network). (2022e). Single aspirated air temperature (DP1.00002.001). https://data.neonscience.org (accessed March 12, 2022) NEON field and taxonomic and abundance data for the periphyton (DP1.20166.001), macroinvertebrate (DP1.20120.001), and zooplankton (DP1.20219.001) collection were downloaded from the NEON data portal. Provisional data, not included in the 2021 data release, are included in this upload. Data are from all 34 aquatic sites across the network. Data are from NEON sources only. NEON is sponsored by the National Science Foundation (NSF) and operated under cooperative agreement by Battelle. This material is based in part upon work supported by NSF through the NEON Program. NEON (National Ecological Observatory Network). Periphyton, seston, and phytoplankton collection (DP1.20166.001). https://data.neonscience.org (accesse
Dataset based on survey experiment measuring party selectors' stereotypes about ethnic minority aspirants
<p>This is a restricted dataset based on a survey experiment conducted among local party chairs in Flanders (Belgium) in 2019 (N=597). The objective of the experiment was to test whether party chairs hold stereotypes about ethnic minority aspirants, i.e. whether they evaluate ethnic minority aspirants differently than similar ethnic majority aspirants. </p> <p>During the experiment, each participant was presented one ethnic minority (Moroccan name) and one ethnic majority (Flemish name) aspirant in a randomized order. Two different policy profiles were randomly distributed between the two aspirants and both aspirants were each randomly assigned a low or a high SES (having either a university or lower secondary school degree). After being presented an aspirant, the participants were asked to evaluate him (we only used male first names) in terms of ideological position, competence and trustworthiness. </p> <p>This dataset includes for each participant information about the exact profile of the aspirants who were evaluated (their ethnicity, SES and policy profile), the evaluation scores granted to these aspirants and information about manipulation checks included in the survey experiment. </p> <p>The two profiles which were presented during the survey experiment are the following:</p> <p>Profile 1: <br> The 46 year old [Victor Claes OR Mohammed El Amrani] has a wife and two children. He has a [university degree OR lower secondary degree]. [Victor OR Mohammed] is a member of several local associations and has been a member of your party since two years. <br> [Victor OR Mohammed] wants to increase the citizens’ well-being. When possible, extra cycle routes should be put in place, circulation plans should become more straightforward and traffic safety in school environments should be enhanced. The candidate wants to embellish the streets and is in favour of a more innovate approach against high vacancy rates in the housing market. [Victor OR Mohammed] advocates more efficient spatial planning. More space should be provided for new and growing enterprises whilst preserving sufficient green, open spaces. The supply of public transport should be enhanced throughout the whole municipality. [Victor OR Mohammed] wants to invest in both youngsters and the elderly. Blind spots in child care should be erased and nursing homes should remain affordable. Multi-purpose halls should be accessible to a wide and inclusive supply of activities to connect all citizens. Finally, [Victor OR Mohammed] wants to increase both the capacity of the local schools and the level of education they provide. </p> <p>Profile 2: <br> [Victor Claes OR Mohammed El Amrani] is 43 years old. He has a [university degree OR lower secondary degree]. He became a member of your party in 2016. He and his wife have one daughter. [Victor OR Mohammed] is a member of several local associations.<br> [Victor OR Mohammed] strives towards a more liveable municipality. Investments in the public domain should provide sufficient facilities for young and old. Think about new play grounds, sport fields and pétanque courts. Environments should be given more freedom to develop and innovate. Thereby, expanding firms who contribute to local employment as well as small local entrepreneurs should be given the necessary attention. [Victor OR Mohammed] advocates a cleaner and greener municipality and wants to set up an effective plan against litter. The candidate wants to implement new subsidies for the local leisure industry aimed at providing facilities for disabled people and lower tariffs for people with low incomes. Regarding mobility, [Victor OR Mohammed] wants more and better lighting on cycle routes. Shortcuts through residential areas should be made less accessible and more investments in central connecting roads are desirable. Finally, unemployed people should be actively encouraged to find a new job and guided towards employment.</p> <p> </p> <p> </p>
Ki-67 and Bcl-2 data by flow cytometry in non-malignant bone marrow aspirates and aspirates from patients with myeloid malignancies.
<p>This Data in Brief article displays a flow cytometric assay that was used for the acquisition and analyses of proliferation and anti-apoptosis in hematopoietic cells. This dataset includes analysis of the Ki-67 positive fraction (Ki-67 proliferation index) and Bcl-2 positive fraction (Bcl-2 anti-apoptotic index) of the different myeloid bone marrow (BM) cell population in non-malignant BM, and the BM disorders myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). The present dataset comprises 1) the percentage of the CD34 positive blast cells, erythroid cells, myeloid cells and monocytic cells, and 2) the determined Ki-67 positive fraction and Bcl-2 positive fraction of these cell populations in tabular form. This allows the comparison and reproduction of the data when these analyses are repeated in a different setting. As gating the Ki-67 positive and Bcl-2 positive cells is a critical step in this assay, different gating approaches were compared to determine the most sensitive and specific approach. BM cells from aspirates of 50 non-malignant, 25 MDS and 50 AML cases were stained with 7 different antibody panels and subjected to flow cytometry for determination of the Ki-67 positive cells and Bcl-2 positive cells of the different myeloid cell populations. The Ki-67 or Bcl-2 positive cells were then divided by the total number of cells of the respective cell population to generate the Ki-67 positive fraction (Ki-67 proliferation index) or the Bcl-2 positive fraction (Bcl-2 anti-apoptotic index). The presented data may facilitate the establishment and standardization of flow cytometric analyses of the Ki-67 proliferation index and Bcl-2 anti-apoptotic index of the different myeloid cell populations in non-malignant BM as well as MDS and AML patients in other laboratories. Directions for proper gating of the Ki-67 positive and Bcl-2 positive fraction are crucial for achieving standardization among different laboratories. In addition, the data and the presented assay allows application of Ki-67 and Bcl-2 in a research and clinical setting and this approach can serve as the basis for optimization of the gating strategy and subsequent investigation of other cell biological processes besides proliferation and anti-apoptosis. These data can also promote future research about the role of these parameters in diagnosis of myeloid malignancies, prognosis of myeloid malignancies and therapeutic resistance against anti-cancer therapies in these malignancies. As specific populations based on cell biological characteristics were identified, these data can be useful for evaluating gating algorithms in flow cytometry in general by confirming the outcome (e.g. MDS or AML diagnosis) with the respective proliferation and anti-apoptotic profile of these malignancies. The Ki-67 proliferation index and Bcl-2 anti-apoptotic index may potentially be used for classification of MDS and AML based on supervised machine learning algorithms, while unsupervised machine learning can be deployed at the level of single cells to potentially distinguish non-malignant from malignant cells to identify minimal residual disease. Therefore, the present dataset may be of interest for internist-hematologists, immunologists with affinity for hemato-oncology, clinical chemists with sub-specialization of hematology and researchers in the field of hemato-oncology.</p>
Ki-67 and Bcl-2 data by flow cytometry in non-malignant bone marrow aspirates and patients with myeloid malignancies
<p>This Data in Brief article displays a flow cytometric assay that was used for the acquisition and analyses of proliferative and anti-apoptotic activity in hematopoietic cells. This dataset includes analyses of the Ki-67 positive fraction (Ki-67 proliferation index) and Bcl-2 positive fraction (Bcl-2 anti-apoptotic index) of the different myeloid bone marrow (BM) cell populations in non-malignant BM, and in BM disorders, i.e. myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). The present dataset comprises 1) the percentage of the CD34 positive blast cells, erythroid cells, myeloid cells and monocytic cells, and 2) the determined Ki-67 positive fraction and Bcl-2 positive fraction of these cell populations in tabular form. This allows the comparison and reproduction of the data when these analyses are repeated in a different setting. Because gating the Ki-67 positive and Bcl-2 positive cells is a critical step in this assay, different gating approaches were compared to determine the most sensitive and specific approach. BM cells from aspirates of 50 non-malignant, 25 MDS and 27 AML cases were stained with 7 different antibody panels and subjected to flow cytometry for determination of the Ki-67 positive cells and Bcl-2 positive cells of the different myeloid cell populations. The Ki-67 or Bcl-2 positive cells were then divided by the total number of cells of the respective cell population to generate the Ki-67 positive fraction (Ki-67 proliferation index) or the Bcl-2 positive fraction (Bcl-2 anti-apoptotic index). The presented data may facilitate the establishment and standardization of flow cytometric analyses of the Ki-67 proliferation index and Bcl-2 anti-apoptotic index of the different myeloid cell populations in non-malignant BM as well as MDS and AML patients in other laboratories. Directions for proper gating of the Ki-67 positive and Bcl-2 positive fraction are crucial for achieving standardization among different laboratories. In addition, the data and the presented assay allows application of Ki-67 and Bcl-2 in a research and clinical setting and this approach can serve as the basis for optimization of the gating strategy and subsequent investigation of other cell biological processes besides proliferation and anti-apoptosis. These data can also promote future research into the role of these parameters in diagnosis of myeloid malignancies, prognosis of myeloid malignancies and therapeutic resistance against anti-cancer therapies in these malignancies. As specific populations were identified based on cell biological characteristics, these data can be useful for evaluating gating algorithms in flow cytometry in general by confirming the outcome (e.g. MDS or AML diagnosis) with the respective proliferation and anti-apoptotic profile of these malignancies. The Ki-67 proliferation index and Bcl-2 anti-apoptotic index may potentially be used for classification of MDS and AML based on supervised machine learning algorithms, while unsupervised machine learning can be deployed at the level of single cells to potentially distinguish non-malignant from malignant cells in the identification of minimal residual disease. Therefore, the present dataset may be of interest for internist-hematologists, immunologists with affinity for hemato-oncology, clinical chemists with sub-specialization of hematology and researchers in the field of hemato-oncology.</p>
Early Antibiotics After Aspiration in ICU Patients
ClinicalTrials.gov study NCT05079620. IPD Sharing: NO. Countries: 1. Publications: 12.
ASPIRE Cognitive Enhancement Study
ClinicalTrials.gov study NCT02657954. IPD Sharing: NO. Countries: 1. Publications: 1.
Experience of Pain During Oocyte Retrieval- a Comparison Between Two Aspiration Needles
ClinicalTrials.gov study NCT00924885. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ultrasound Guided Aspiration of Hydrosalpingeal Fluid and IVF-ET Outcomes
ClinicalTrials.gov study NCT01040351. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Safety and Efficacy Study of Autologous Concentrated Bone Marrow Aspirate (cBMA) for Critical Limb Ischemia (CLI)
ClinicalTrials.gov study NCT01049919. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
A Study of Patients With Lower Extremity Acute Limb Ischemia to Remove Thrombus With the Indigo Aspiration System
ClinicalTrials.gov study NCT04144959. IPD Sharing: NO. Countries: 3. Publications: 1.
The Aspirometer: A Noninvasive Tool for Detecting Aspiration Aim 3
ClinicalTrials.gov study NCT06637774. IPD Sharing: NO. Countries: 1. Publications: 15.
Comparison of Two Needle Aspiration Techniques for Endoscopic Ultrasound-guided Fine Needle Aspiration (EUS-FNA) in Solid Pancreatic Lesions
ClinicalTrials.gov study NCT01936467. IPD Sharing: Not stated. Countries: 1. Publications: 1.
EUS-guided Fine Needle Aspiration (FNA) With and Without the Use of a Stylet
ClinicalTrials.gov study NCT01316614. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Gabapentin as an Adjunct to Perioperative Pain Management Regimens for Uterine Aspiration
ClinicalTrials.gov study NCT02725710. IPD Sharing: NO. Countries: 1. Publications: 1.
Aspiration in Acute Respiratory Failure Survivors
ClinicalTrials.gov study NCT02363686. IPD Sharing: Not stated. Countries: 1. Publications: 35.
Accountability Support Through Peer-Inspired Relationships and Engagement (ASPIRE) Trial
ClinicalTrials.gov study NCT06617702. IPD Sharing: YES. Countries: 1. Publications: 3.
Bone Marrow Aspirate Compared to Platelet Rich Plasma for Treating Knee Osteoarthritis
ClinicalTrials.gov study NCT03289416. IPD Sharing: NO. Countries: 1. Publications: 16.
Dorsal Wrist Ganglia; Aspiration Alone vs Aspiration and Injection of Platelet Rich Plasma
ClinicalTrials.gov study NCT03408808. IPD Sharing: NO. Countries: 1. Publications: 7.
A Pilot Study on the Use of Prophylactic Antibiotics for EUS-guided Pancreatic Cyst Aspiration
ClinicalTrials.gov study NCT01929460. IPD Sharing: Not stated. Countries: 1. Publications: 2.
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OpenNeuro
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