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A Cross-Sectional Odyssey: Unraveling Treatment Efficacy, Comorbid Impact, and Predictive Markers in Necrotizing Otitis Externa
<p>This study embarks on a comprehensive cross-sectional analysis to explore the multifaceted landscape of Necrotizing Otitis Externa (NOE). By evaluating the efficacy of diverse treatment regimens, the investigation reveals critical insights into the recovery rates, hospitalization durations, and recurrence rates associated with antibiotic monotherapy, combined antibiotic therapy, surgical intervention, and hyperbaric oxygen therapy. Additionally, the impact of comorbid conditions such as diabetes and immunocompromised states on clinical outcomes underscores the complexity of NOE management. Treatment complications, mortality rates, and hospitalization durations differ significantly among patients with varying comorbidities, as reflected by the ANOVA p-values. This odyssey also delves into the initial and final responses to treatment, offering predictive markers for clinical improvement and stability. The integration of these findings aims to enhance therapeutic strategies, providing a nuanced understanding of NOE and guiding clinicians towards optimized patient care.</p>
Supplementary materials for publication Hlanze H. et al. Universal lineage-independent markers of multidrug re-sistance in M. tuberculosis. IJMS 2024.
<p>Drug resistance mutations stat.xlsx - this is an Excel file with data on the statistical evaluation of associations between mutations in protein-coding genes of<em> M. tuberculosis</em> and multidrug resistance;</p> <p>Drug mutation associations for Cytoscape.cys - this is a Cytoscape 3.10.2 dataset with predicted epistatic interactions among global markers of drug resistance in the overall <em>M. tuberculosis </em>population<em>.</em></p>
FIGURE 3 in Molecular phylogenetic analysis of subfamilial placement of Haplotropis Saussure, 1888 (Orthoptera: Pamphagidae) based on mitochondrial and nuclear DNA markers
FIGURE 3. Phylogenetic tree based on the nucleotide sequences of ITS2 region of Pamphagidae. Support values shown as: SH-aLRT support/ ultrafast bootstrap (probability> 80/90 considered significant). The brackets on the right side show subfamily and family clusters.
FIGURE 2 in Molecular phylogenetic analysis of subfamilial placement of Haplotropis Saussure, 1888 (Orthoptera: Pamphagidae) based on mitochondrial and nuclear DNA markers
FIGURE 2. Phylogenetic tree based on the nucleotide sequences of COII mitochondrial gene of Pamphagidae. Support values shown as: SH-aLRT support/ ultrafast bootstrap (probability> 80/90 considered significant). The brackets on the right side show subfamily and family clusters.
FIGURE 1 in Molecular phylogenetic analysis of subfamilial placement of Haplotropis Saussure, 1888 (Orthoptera: Pamphagidae) based on mitochondrial and nuclear DNA markers
FIGURE 1. Phylogenetic tree, based on the nucleotide sequences of COI mitochondrial gene of Pamphagidae. Support values shown as: SH-aLRT support/ultrafast bootstrap (probability> 80/90 considered significant). The brackets on the right side show subfamily and family clusters.
Inflammatory markers in plasma: from late pregnancy to early postpartum
<p>Plasma from women in late pregnancy (around gw 38) and from women in the early postpartum period (around w 8). Some women are paired (both pregnancy and postpartum plasma analyzed). Method: Proximity extension assay (PEA). The inflammatory marker levels are presented as NPX values.</p>
Fig. 3 in A phylogeny of Cephaloziaceae (Jungermanniopsida) based on nuclear and chloroplast DNA markers
Fig. 3 Majority-rule consensus tree of trees recovered in stationary phase of Bayesian search; includes Nowellia and Cephalozia. Bayesian posterior probabilities (bold), MP- (italics), and ML-bootstrap percentage values are given at branches
Fig. 4 in A phylogeny of Cephaloziaceae (Jungermanniopsida) based on nuclear and chloroplast DNA markers
Fig. 4 Majority-rule consensus tree of trees recovered in stationary phase of Bayesian search; includes Fuscocephaloziopsis. Bayesian posterior probabilities (bold), MP- (italics), and ML-bootstrap percentage values are given at branches
Fig. 2 in A phylogeny of Cephaloziaceae (Jungermanniopsida) based on nuclear and chloroplast DNA markers
Fig. 2 Majority-rule consensus tree of trees recovered in stationary phase of Bayesian search; includes Alobielloideae and Odontoschismatoideae. Bayesian posterior probabilities (bold), MP- (italics), and ML-bootstrap percentage values are given at branches
Fig. 3 Chronogram showing the relationships and divergence times for 80 bears, estimated from a concatenated mitochondrial dataset comprising all 13 protein coding and 2 in Examining the sensitivity of molecular species delimitations to the choice of mitochondrial marker
Fig. 3 Chronogram showing the relationships and divergence times for 80 bears, estimated from a concatenated mitochondrial dataset comprising all 13 protein coding and 2 ribosomal RNA genes. Groups delimited as species by the GMYC analysis are shown as triangles. The horizontal axis shows the timescale, measured in millions of years.
Fig. 2 Chronogram showing the relationships and divergence times for 357 cetaceans, estimated from a concatenated mitochondrial dataset comprising all 13 protein coding and 2 in Examining the sensitivity of molecular species delimitations to the choice of mitochondrial marker
Fig. 2 Chronogram showing the relationships and divergence times for 357 cetaceans, estimated from a concatenated mitochondrial dataset comprising all 13 protein coding and 2 ribosomal RNA genes. Groups delimited as species by the GMYC analysis are shown as triangles. The horizontal axis shows the timescale, measured in millions of years.
Fig. 1 in Examining the sensitivity of molecular species delimitations to the choice of mitochondrial marker
Fig. 1 Number of markers analysed in a survey of 109 studies using GMYC published between January 2013 and December 2014. Columns indicate the total number of studies in the sample using the relevant number of markers. The lower dark grey portion of each column refers to the number of studies using only mitochondrial markers, while the upper light grey portion refers to all other studies
Fig. 5 in Examining the sensitivity of molecular species delimitations to the choice of mitochondrial marker
Fig. 5 Numbers of species delimited by different mitochondrial genes in GMYC analysis of three datasets: a cetaceans; b bears (Ursidae); and c European whitefish (Coregonus lavaretus) and allies. In each case, the value at which the horizontal axis crosses the vertical axis corresponds to the number of named species (47 cetaceans, 8 bears, 4 whitefish). Columns represent the number of species delimited in the most likely hypotheses identified by GMYC using individual genes, while error bars show the range of species counts found in the 95 % confidence set of species hypotheses generated by GMYC. Genes marked 'NS' did not provide sufficient evidence to reject the one-species null hypothesis (likelihood-ratio test, p> 0.05). Substantial variation is observed between delimitations given by different genes
Fig. 1 in A short LSU rRNA fragment as a standard marker for integrative taxonomy in calcareous sponges (Porifera: Calcarea)
Fig. 1 Overview of the alignment and consensus of ITS sequences. For each specimen, 2–3 clones were sequenced
Fig. 1 in Sex or no sex? Group I introns and independent marker genes reveal the existence of three sexual but reproductively isolated biospecies in Trichia varia (Myxomycetes)
Fig. 1 Three-gene phylogeny of Trichia varia. a Associations between partial SSU and partial COI genotypes within the three groups (1, 2a, 2b). Dotted lines indicate associations found in one specimen, dashed lines in two to five specimens, and solid lines more than five specimens. b Bayesian majority-rule consensus tree of combined partial sequences of
Fig. 3 in Phylogeny of Cidaroida (Echinodermata: Echinoidea) based on mitochondrial and nuclear markers
Fig. 3 Optimal tree obtained under ML (LogL 0 –5,265.11487) with PHYML 3.0 for the 28 S and COI genes concatenated under a GTR + gamma model. Bootstrap frequencies (1,000 replicates) are indicated below nodes. We also report, to the right of the nodes, bootstrap
Fig. 4 in Phylogeny of Cidaroida (Echinodermata: Echinoidea) based on mitochondrial and nuclear markers
Fig. 4 Strict consensus of the two optimal trees (L 01,060) obtained under maximum parsimony with TNT for the 28 S and COI genes concatenated. Bootstrap frequencies (1,000 replicates) are indicated below nodes
Fig. 2 in Phylogeny of Cidaroida (Echinodermata: Echinoidea) based on mitochondrial and nuclear markers
Fig. 2 Optimal tree obtained under ML (LogL 0 –3,825.12487) with PHYML 3.0 for the mitochondrial cytochrome c oxydase subunit I gene (COI) under a GTR + I + gamma model. Bootstrap frequencies (1,000 replicates) are indicated below nodes
Fig. 2 in Application of genomic markers generated for ray-finned fishes in chondrichthyan Phylogenomics
Fig. 2 Phylogenomic relationship of investigated 26 jawed fish species based on single-copy orthologous exon markers. Bootstrap values are shown in each node
Fig. 1 in Application of genomic markers generated for ray-finned fishes in chondrichthyan Phylogenomics
Fig. 1 Phylogenomic relationships of investigated chondrichthyans based on two approaches in this study. Branches with inconsistency in phylogenomic inferences between BUSCO and exon approaches were denoted with red stars. Colors highlighted orders of Chondrichthyes
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
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.