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2,315 results for “Comparative analysis”
Corresponding spreadsheet to the Paper 'Comparative analysis of pre-Covid19 child immunization rates across 30 European countries and identification of underlying positive societal and system influences'
<p>This study provides a macro-level societal and health system focused analysis of child vaccination rates in 30 European countries, exploring the effect of context on coverage. The importance of demography and health system attributes on health care delivery are recognized in other fields, but generally overlooked in vaccination. The analysis is based on correlating systematic data built up by the Models of Child Health Appraised (MOCHA) Project with data from international sources, so as to exploit a one-off opportunity to set the analysis within an overall integrated study of primary care services for children, and the learning opportunities of the ‘natural European laboratory’. The descriptive analysis shows an overall persistent variation of coverage across vaccines with no specific vaccination having a low rate in all the EU and EEA countries. However, contrasting with this, variation between total uptake per vaccine across Europe suggests that the challenge of low rates is related to country contexts of either policy, delivery, or public perceptions. Econometric analysis aiming to explore whether some population, policy and/or health system characteristics may influence vaccination uptake provides important results - GDP per capita and the level of the population’s higher education engagement are positively linked with higher vaccination coverage, whereas mandatory vaccination policy is related to lower uptake rates. The health system characteristics that have a significant positive effect are a cohesive management structure; a high nurse/doctor ratio; and use of practical care delivery reinforcements such as the home-based record and the presence of child components of e‑health strategies.</p>
Comparative analysis of chloroplast genomes of Sanguisorba species and insights into phylogenetic implications and molecular dating
<pre class="js_message_plain ng-binding"><em>Sanguisorba</em> is a small genus, which consists of about 15 species widely distributed in North America and Eurasia. Previous studies on <em>Sanguisorba</em> are useful for understanding of phylogeny and chloroplast (cp) genome evolution of <em>Sanguisorba</em>. However, the cp genome resources of <em>Sanguisorba</em> are still limited, and the phylogeny and molecular dating for <em>Sanguisorba</em> and its relatives still need further explored. Here, we reported four cp genomes of <em>Sanguisorba</em> and conducted comparative analysis of the four <em>Sanguisorba</em> cp genomes plus five previously published ones. The nine cp genomes of <em>Sanguisorba</em> have typical tetrad quadripartite structure, with a total length of 154 282 to 155 730 bp, and their gene content, gene structure, and gene order are relatively conservative. The analysis of single copy (SC)/inverted repeat (IR) boundaries shows very slight boundary differences in <em>Sanguisorba</em> cp genomes. Eight variation hotspots were screened as excellent candidate markers of <em>Sanguisorba</em>. Phylogenetic analysis indicated <em>Sanguisorba</em> was monophyletic and was a member of tribe Agrimonieae subtribe Sanguisorbinae. Within <em>Sanguisorba</em>, <em>S. filiformis</em> is a sister group of six other taxa in the present sampling. Estimation of the divergence times indicated that subtribes Agrimoniinae and Sanguisorbinae diverged at the transition between the Oligocene and the Miocene, and divergent times of Agrimonieae genera ranged from the late Miocene to the Middle Pleistocene. This study enriches the available cp genome resources of <em>Sanguisorba</em>, and it is of great significance to further study the phylogeny and evolution of <em>Sanguisorba</em> and its relatives.</pre>
Driving Innovation: Comparative Analysis of E-Government Best Practices in Different Regions
<p><span>In the rapidly evolving landscape of electronic government (e-government), innovation stands as a linchpin for effective service delivery and citizen engagement. This paper conducts a comparative analysis of e-government best practices across different regions, aiming to identify key drivers of innovation and excellence in public service digitization. Through an extensive review of global e-government initiatives and case studies, the paper examines successful strategies employed by diverse regions to foster innovation in the public sector. The comparative framework explores varying regulatory environments, technological infrastructures, and cultural considerations that influence the adoption and impact of e-government innovations. The findings contribute valuable insights for policymakers, practitioners, and researchers seeking to understand the nuanced dynamics of e-government innovation on a global scale. By elucidating the diverse approaches and outcomes in different regions, this paper facilitates a deeper comprehension of the multifaceted nature of e-government best practices and provides a foundation for informed decision-making in the pursuit of innovation excellence.</span></p>
Improving the recovery for dissolved eDNA State: A comparative analysis of isopropanol precipitation, magnetic bead extraction, and centrifugal dialysis
<p>Environmental DNA consists of multiple states including but not limited to membrane-bound, adsorbed, and dissolved states. Because of their chemical and physical properties, each of these states may have different degradation and transport potential. Essential to the study of eDNA states is being able to isolate them from an environmental sample. Here we focus on improving the DNA recovery of the dissolved state of eDNA from water. We compared three recovery methods, namely isopropanol precipitation, magnetic bead extraction, and centrifugal dialysis. We evaluated the effectiveness of these methods based on the measured DNA recovery of two different species' DNA of different sizes. DNA recovery was assessed with qPCR. We also checked for the effect of inhibitor removal, and lastly estimated the cost of reagents and consumables (not labor). The DNA recovery varied among extraction methods, with isopropanol precipitation yielding the highest recovery (52.47 ± 19.69%), followed by centrifugal dialysis (12.58 ± 7.15%) and magnetic bead extraction (9.92 ± 3.89%). However, isopropanol precipitation's efficacy was influenced by humic acid concentration in the water matrix. The presence of humic acids significantly affected isopropanol precipitation, with higher humic acid concentrations leading to increased DNA recovery. This suggests that humic acids act as co-precipitators during isopropanol precipitation. We observed that longer DNA fragments (chicken) had lower recovery compared to shorter fragments (salmon) across all extraction methods. Magnetic bead extraction effectively removed inhibitors, while centrifugal dialysis and isopropanol extraction required an additional inhibitor removal step. Isopropanol, magnetic bead extraction, and centrifugal dialysis methods have estimated costs of 7.74, 8.53, and 23.62 USD in 2023 respectively. Overall, isopropanol precipitation was the least expensive and most effective with the highest measured recoveries, but it was dependent on humic acid concentration in the environmental sample.</p>
Data from: Trophic guilds differ in blood glucose concentrations: A phylogenetic comparative analysis in birds
<p>Glucose is a central metabolic compound used as a source of energy across all animal taxa. There is high interspecific variation in glucose concentration between taxa, the origin and the consequence of which remain largely unknown. Nutrition may affect glucose concentrations because carbohydrate content of different food sources may determine the importance of metabolic pathways in the organism. Birds sustain high glucose concentrations that may entail the risks of oxidative damage. We collected glucose concentration and life history data from 202 bird species from 171 scientific publications; classified them into seven trophic guilds and analysed the data with a phylogenetically controlled model. We show that glucose concentration is negatively associated with body weight and is significantly associated with trophic guilds with a moderate phylogenetic signal. After controlling for allometry, glucose concentrations were highest in carnivorous birds, which rely on high rates of gluconeogenesis to maintain their glycemia and lowest in frugivorous/nectarivorous species, which intake carbohydrates directly. However, trophic guilds with different glucose concentrations did not differ in lifespan. These results link nutritional ecology to physiology and suggest that at the macroevolutionary scale, species requiring constantly elevated glucose concentrations may have additional adaptations to avoid the risks associated with high glycemia.</p>
Figure 5 in Comparative analysis of soil nematode biodiversity from five different fruit orchards in Osmaneli district, Bilecik, Türkiye
Figure 5: Feeding types and their relative abundance of nematodes at different fruit tree orchards.
Fig.2 in Comparative Analysis Of Biotopes And Reproductive-Ecological Manifestations Of Bombina Bombina (Linnaeus, 1761) In Latvia
Fig.2. Protocol of the investigation of Bombina bombina biotope.
Fig. 4 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 4. Uncitedness rate of articles published in the Brazilian journals in Sample 2.
Fig. 1 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 1. Brazilian journals and their corresponding self-cited rates between 2006 and 2011.
Fig. 2 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 2. Brazilian journals and their corresponding self-citing rates between 2006 and 2011.
Figure 2 in Comparative analysis of brain in relation to the body length and weight of common carp (Cyprinus carpio) in captive (hatchery) and wild (river system) populations
Figure 2. brain of common carps in wild environment.
Figure 1 in Comparative analysis of brain in relation to the body length and weight of common carp (Cyprinus carpio) in captive (hatchery) and wild (river system) populations
Figure 1. brain of common carps in captive environment.
Figure 2 in Comparative brain analysis of wild and hatchery reared Mahseer (Tor putitora) relative to their body weight and length
Figure 2. Relationship between body and brain weight of wild and hatchery reared fish.
Assemblies and phylogenetic analyses for the comparative analysis of Chara tomentosa and Chara baltica
Open the record for dataset details and reuse information.
Fig. 3 in Comparative Analysis of Complete Mitogenomes of Two Gobies and Their Phylogenetic Implication.
Fig. 3. Relative synonymous codon usage of Protein-coding genes in Oxyurichthys ophthalmonema.
Fig. 2 in Comparative Analysis of Complete Mitogenomes of Two Gobies and Their Phylogenetic Implication.
Fig. 2. Gene map of Oxyurichthys microlepis mitogenome.
Fig. 1 in Comparative Analysis of Complete Mitogenomes of Two Gobies and Their Phylogenetic Implication.
Fig. 1. Gene map of Oxyurichthys ophthalmonema mitogenome.
Fig. 4 in Comparative Analysis of Complete Mitogenomes of Two Gobies and Their Phylogenetic Implication.
Fig. 4. Relative synonymous codon usage of Protein-coding genes in Oxyurichthys microlepis.
A Comparative Analysis of Machine Learning Approaches to Gap Filling Meteorological Datasets (Results Only)
<p>This dataset contains the results from our evaluation of methodologies for filling gaps in meterological data. Variables were chosen to represent a standard set of measurements for purposes typically performed using Weather Stations installed in urban and rural areas. There are 4 dimensions by which we measure and validate each of the gap filling models across a large set of experimental configurations: meteorological variables <strong>TargetVar </strong>(dewpoint, humidity, leaf wetness, temp); <strong>feature_set</strong> (AWS, AWS-ERA5, ERA5, ERA5_Debias, Spatial); 3 types of machine learning algorithms <strong>ML</strong> (linear regression, random forests, LightGBM) combined with 2 non-ML algorithms; and <strong>gap_length</strong>: 1, 4, 36 and 288. A total of 1,720 experiments were conducted: 1,440 machine learning experiments; 160 using a spatial algorithm and 120 experiments using ERA5. For the 3 machine learning experiments, the average result was selected for each of 10 sites for 4 gap sizes (40 results) with the 3 ML models using 3 different feature sets (120 results).</p> <p>Data is provided in both CSV format and as a MySQL dump.</p> <p>Resultsets are accompanied with the SQL expression used to generate the result.</p>
Comparative analysis of huntingtin interaction partner database searches with Dr. Maiuri's work - 2018/08/31
<p><strong>Project </strong>- Huntingtin structure-function open lab notebook. </p> <p><strong>Rationale</strong> - To compare the ROS-specific huntingtin interaction partners identified by Dr. Tamara Maiuri with those detailed in existing databases. </p> <p><strong>Overview</strong> - Previously, different online databases which detail protein interaction partners were searched for huntingtin protein interaction partners. Following completion of this initial analysis, Dr. Tamara Maiuri posted in her open notebook a detailed list of high and medium confidence ROS-specific huntingtin interacting proteins: <a href="https://zenodo.org/record/1319540">https://zenodo.org/record/1319540</a>. A comparison of these interactors with those identified in the previously mined databases is briefly detailed. </p>
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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.