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74 results for “reconciliation”
Global greenhouse gas reconciliation 2022
<p>In this study, we provide an update of the methodology and data used by Deng et al. <a href="https://paperpile.com/c/eukncF/EENwC/?noauthor=1">(2022)</a> in order to compare the latest national greenhouse gas inventories (NGHGIs) and atmospheric inversion models ensembles contributed by international research teams coordinated by the Global Carbon Project to support the first global stocktake of the Paris Agreement. The comparison framework uses transparent processing of the net ecosystem exchange fluxes of carbon dioxide (CO2) from inversions to provide estimates of terrestrial carbon stock changes over managed land that can be used to evaluate NGHGIs. For methane (CH4), and nitrous oxide (N2O), we separate anthropogenic emissions from natural ones from original inversion results, to make them comparable with NGHGIs. Our global harmonized NGHGIs database was updated for inventory data until Feburary 2023 by compiling data from periodical UNFCCC inventories by Annex I countries and sporadic and less detailed emissions reports by non-Annex I countries given by National Communications and Biennial Update Reports. For the inversion data, we updated results from an ensemble of 22 global inversions produced for the most recent assessments of the global budgets of CO2, CH4 and N2O coordinated by the Global Carbon Project with ancillary data. The CO2 inversion ensemble in this study goes through 2021, building on our previous report from 1990 to 2019, and includes three new satellite inversions compared to the previous study, and an improved managed land mask. As a result, although significant differences exist between the CO2 inversion estimates, both satellite and in-situ inversions over managed lands indicate that Russia and Canada had a larger land carbon sink in recent years than reported in its NGHGI, while the NGHGIs reported a significant upward trend of carbon sink in Russia but a downward trend in Canada. For CH4 and N2O, the results of the new inversion ensemble are extended to 2020. Good correlation was found between the in-situ and satellite inversions for CH4. Much denser sampling of atmospheric CO2 and CH4 concentrations by different satellites, coordinated into a global constellation, is expected in the coming years. The methodology proposed here to compare inversion results with NGHGIs can be applied regularly for monitoring the effectiveness of mitigation policy and progress by countries to meet the objective of their pledges.</p>
Host symbiont gene reconciliation supplementary material
<p>Cinara aphids dataset was obtained from the data of article by Manzano-Marin et al. ISME, 2019, and we chose a representative subset of the species present in the gene trees. We used an exterior source for the phylogeny for the enterobacteria present in the gene trees using Annotree (Mendler et al., Nucleic Acids Research, 2019) (for the one that are not associated to Cinara aphids, and are thus "free living" in this setting). </p> <p>Helicobacter pylori dataset was constructed by Alexia Nguyen Trung, gathering available whole genome sequences on NCBI with assigned geo populations on NCBI or pubMLST. <br> A phylogenetic tree was built based on the concatenation of universal-unicopy genes (322 genes), and a sample of 113 strains representing the diversity of H. pylori in the old world (excluding strains from the Americas) was obtained using Treemmer (Menardo et al, BMC Bioinformatics, 2018).<br> Then, 6 non pylori strains were added (H. hepaticus, H. acinonychis, H. canadensis, H felis, H. bizzozeronii, H. cetorum), as an external group. <br> In this study we considered the 1034 gene families, including 322 universal unicopy family, which displayed strains from the external group and from at least 3 continents.<br> The taleoutput repository contains the recphyloxml outputs of the methods used in the paper, am stands for the approach with amalgamation of the universal unicopy genes to construct a strain tree, while nc refers to the results with the tree constructed from the concatenate, and then the repositories refer to the putative population trees 1, 2, 3 and 4. 0u_0 is the strains genes reconciliation in recphyloxml format. 0upper is the host strains reconciliation in recphyloxml format.</p> <p>Finally, the last repository contains the simulated dataset. It was generated using Sagephy https://compbio.engr.uconn.edu/software/sagephy/ https://doi.org/10.1093/bioinformatics/btz081<br> For each instance, a host tree, a symbiont tree, and 5 gene trees were generated.</p> <p>We used the parameters proposed in https://doi.org/10.1145/3307339.3342168 \cite{kordi_inferring_2019}, as representative of small (D 0.133, T 0.266, L 0.266), medium (D 0.3, T 0.6, L 0.6) and high (D 0.6, T 1.2, L 1.2) transfer rates, without replacing transfers. The software enables to specify an inter transfer rate, corresponding to the probability for a gene transfer between different hosts. When a horizontal transfer is chosen during generation of the gene tree (inside a symbiont tree and knowing a host/symbiont reconciliation), the transfer is chosen to be an inter host one with the inter transfer rate. So an inter transfer rate of 0 corresponds to only intra transfer, and of 1 corresponds to a case where transfers are only between symbionts in separate hosts.</p> <p><br> We constructed two simulated datasets, one with a combination of the different rates for the DTL parameters (varrates), and one with only medium rates but with different rates of "inter" and "intra" transfers (coevol).<br> For the first dataset, we used all 9 combinations of small, medium and high rates for the symbiont generation and the gene generation, with only intra host gene transfer (i.e. an inter transfer rate of zero).<br> For the second dataset, we used only medium rates for both symbiont and genes generation, but we used 6 inter transfer rates going from 0 to 1. </p> <p>For both datasets, and for each set of rates, we generated 50 instances consisting of 1 host tree with 100 leaves, 1 symbiont tree and 5 gene trees, each generated in the pruned version of the other trees (branch that do not reach present are pruned before the generation of the next tree). We then kept each host leaves with a probability of 0.08 to simulate unexhaustive sampling, resulting in host trees with an average size of 8 leaves.<br> This ended up to 399 instances for the first dataset and 226 instances for the second one, and at least 29 instances of 5 genes for each set of parameters.</p> <p>Each repositiory is a simulation instance, varrates_k_l_i correspond to simulation number i with lower rate k and upper rate l. genes, symbiont, species are repositories containing the trees in newick of the genes, symbiont and host in newick. Gene trees are unrooted. Lower matching is a matching between gene and symbiont leaves, upper matching between symbiont and host leaves, gene_host_matching is a matching between gene and host leaves. Transfer list contains one file for each gene and with all transfers simulated, donor and receiver symbiont internal nodes.<br> Each instance also contains the output of tale used in the paper, with the three heuristic, the 2-level symbiont gene (_2l), the 3-level sequential heuristic (_dec) and the 3-level monte carlo approach (_mc) with 50 iterations. All the launch were with 5 rounds of parameters estimation (the default usage). The 0u_0 contain a sampled symbiont gene reconciliation in recphyloxml, and for the 3-level heuristics, 0upper a corresponding host symbiont reconciliation in recphyloxml (multiple ones for the montecarlo i_upper and iu_0 for i from 0 to 49). A known error in the recphyloxml transcription script, now corrected, has induced some errors in some of the recphyloxml files : for some transfers the indicated receiver species is the donor and not the receiver, however redundancy in the format makes it possible to retrieve the information by looking at the matching species in the next event of the gene, that will be the receiver species, we chose to leave it this way instead of relaunching all the computations, as it has no impact on the figures and results presented in our article (mostly constructed using the freq files). The files freq contains information on the frequencies of the different events summed up over gene symbionts reconciliation, lower_log_likelihood contains the log likelihood of the host and symbiont trees knowing the genes (the probability of the genes knowing the host and symbiont).</p>
Comparison of MedBook Portal and Usual Care in Medication Reconciliation at Primary Healthcare Upon Hospital Discharge
ClinicalTrials.gov study NCT06517160. IPD Sharing: NO. Countries: 1. Publications: 1.
The Secure Messaging for Medication Reconciliation Tool (SMMRT) Trial
ClinicalTrials.gov study NCT02482025. IPD Sharing: NO. Countries: 1. Publications: 1.
Spreadsheets: step by step of data reconciliation
<p>Planilhas desenvolvidas para o artigo intitulado “Application of data reconciliation in a water balance as a tool for optimizing water use at a university in Brazil”. Ele foi submetido no 26th IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management;</p> <p>1. Na planilha “Database_IJCIEOM_2020” estão todos os dados usados na pesquisa.</p> <p>2. A planilha denominada “Coverage test” refere-se ao teste estatistico feito com a media dos blocos MT e FS.</p> <p>3. Em “<a href="http://ijcieom_2020.mt/">IJCIEOM_2020.MT</a>” e “IJCIEOM_2020.FS” encontra-se o desenvolvimento da incerteza das medições de vazão de água do CJA-UFSB.</p> <p>4. As planilhas “nhemu_seiqué.MT” e “nhemu_seiqué.FS” são usadas no programa de KALID (2020). Para rodar no programa é necessário renomear para “nhemu_seiqué”.</p> <p> </p> <p>English:</p> <p>Spreadsheets developed for the article entitled “Application of data reconciliation in a water balance as a tool for optimizing water use at a university in Brazil”. He was submitted to the 26th IJCIEOM - International Joint Conference on Industrial Engineering and Operations Management;</p> <p>1. In the spreadsheet “Database_IJCIEOM_2020” are all the data used in the research.</p> <p>2. The spreadsheet called “Coverage test” refers to the statistical test done with the average of blocks MT and FS.</p> <p>3. In “IJCIEOM_2020.MT” and “IJCIEOM_2020.FS” there is the development of the uncertainty of water flow measurements from CJA-UFSB.</p> <p>4. The spreadsheets “nhemu_seiqué.MT” and “nhemu_seiqué.FS” are used in the KALID program (2020). To run the program it is necessary to rename it to “nhemu_seiqué”.</p>
FIGURE 5 in Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification
FIGURE 5. Lectotype (second-step) of Smilax menispermoidea De Candolle K000820877 © The Board of Trustees of the RBG, Kew (http://specimens.kew.org/herbarium/K000820877).
FIGURE 3 in Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification
FIGURE 3. Lectotype (second-step) of Smilax glabra Roxburgh K001104841 © The Board of Trustees of the RBG, Kew (http://specimens. kew.org/herbarium/K001104841).
FIGURE 1c in Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification
FIGURE 1c. Key vegetative characters used to distinguish different Smilax species: (Ⅹ) Habit—(Ⅹa) Vines with climbing stems, (Ⅹb) shrubs with erect stems.
FIGURE 1a in Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification
FIGURE 1a. Key vegetative characters used to distinguish different Smilax species: (Ⅰ) Stem & branch texture—(Ⅰa) granulateverruculose, (Ⅰb) non-granulate; (II) Leaf surface—(IIa) non-glaucous beneath, (IIb) glaucous beneath; (III) Petiolar wings—(IIIa) weakly developed, (IIIb) well developed; (IV) Presence of prickles—(IVa) branches without prickles; (IVb) branches with prickles; (Ⅴ) Types of leaf apex—(Ⅴa) mucronate, (Ⅴb) cuspidate, (Ⅴc) acuminate, (Ⅴd) acute, (Ⅴe) caudate; (VI) Types of leaf base—(VIa) cordate, (VIb) cuneate, (VIc) rounded, (VId) acute.
FIGURE 1b in Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification
FIGURE 1b. Key vegetative characters used to distinguish different Smilax species: (VII) Types of leaf blades—(VIIa) ovate deltoid, (VIIb) lanceolate, (VIIc) elliptical, (VIId, VIIi) orbicular-ovate, (VIIe) ovate-lanceolate, (VIIf) ovate-elliptical, (VIIg) ovate, (VIIh) rhombic-ovate; (VIII) Leaf type—(VIIIa) sessile, (VIIIb) petiolate; (IX) Stem type—(IXa) angular, (IXb) terete.
FIGURE 6 in Taxonomic Reconciliation of Smilacaceae in the Indian Subcontinent: Synonymy, Typification, Updated Inventory, and a Vegetative Key for Identification
FIGURE 6. Lectotype of Smilax quadrata De Candolle K000820896 © The Board of Trustees of the RBG, Kew (http://specimens.kew. org/herbarium/K000820896).
Medication Reconciliation in Oncologic Patients
ClinicalTrials.gov study NCT04796142. IPD Sharing: NO. Countries: 1. Publications: 1.
Using Novel Canadian Resources to Improve Medication Reconciliation at Discharge
ClinicalTrials.gov study NCT01179867. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Implementation and Evaluation of a Medical Reconciliation Protocol at Brigham and Women's Hospital
ClinicalTrials.gov study NCT00296426. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Medication Reconciliation in Hospitalized CKD Patients : A Quasi-Experimental Study
ClinicalTrials.gov study NCT06819527. IPD Sharing: NO. Countries: 1. Publications: 1.
The Impact Of Clinical Pharmacists Medication Reconciliation Upon Patients Admission To Reduce Medication Discrepancies.
ClinicalTrials.gov study NCT04395443. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Study to Assess the Impact of Medication Reconciliation at Hospital Admission on Healthcare Outcomes
ClinicalTrials.gov study NCT03654963. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Electronic Pharmaceutical Record Used for Medication Reconciliation by a Pharmacist Associated to the Anesthesiologist Consultation
ClinicalTrials.gov study NCT02071472. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of Pharmacist-led Medication Reconciliation Service Benefits in Hospitalised Medical Patients
ClinicalTrials.gov study NCT06207500. IPD Sharing: NO. Countries: 1. Publications: 1.
Medication Reconciliation in Comparison to an Extensive Medication Safety Check
ClinicalTrials.gov study NCT02413957. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
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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.