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Figure 6 from: Balkanski S, Simeonova J, Gitev I, Getov I (2019) Evaluation of the current status of the value-added pharmacy services and pharmacists' attitude in Bulgaria. Pharmacia 66(2): 79-83. https://doi.org/10.3897/pharmacia.66.e36530
Figure 6 How patients would rate VAPS – community pharmacists` opinion according to their professional experience (%).
Figure 1 from: Sambaraju P (2022) Use of Worksheet events in Excel to save solver objective cell value from each iteration. Research Ideas and Outcomes 8: e79006. https://doi.org/10.3897/rio.8.e79006
Figure 1 Solver implementation: Objective cell in F4 (minimize sum of squared errors) by changing values of b1 and b2 in cells F2 and F3 respectively.
Figure 5 from: Balkanski S, Simeonova J, Gitev I, Getov I (2019) Evaluation of the current status of the value-added pharmacy services and pharmacists' attitude in Bulgaria. Pharmacia 66(2): 79-83. https://doi.org/10.3897/pharmacia.66.e36530
Figure 5 Distribution of pharmacies by gender and their attitudes to participate in future practical training in different medical manipulations, vaccination and first aid training (%).
Supplementary material 1 from: Sambaraju P (2022) Use of Worksheet events in Excel to save solver objective cell value from each iteration. Research Ideas and Outcomes 8: e79006. https://doi.org/10.3897/rio.8.e79006
BOD data
Supplementary material 1 from: Latombe G, Lenzner B, Schertler A, Dullinger S, Glaser M, Jarić I, Pauchard A, Wilson JRU, Essl F (2022) What is valued in conservation? A framework to compare ethical perspectives. NeoBiota 72: 45-80. https://doi.org/10.3897/neobiota.72.79070
Appendix S1, S2
M-values from Illumina EPIC BeadChip DNA methylation analyses on DNA in whole blood for children exposed to PFAS
<p>Perfluoroalkyl substances (PFASs) are widespread synthetic substances with various adverse health effects. A potential mechanism of toxicity for PFASs is via epigenetic changes, such as DNA methylation. In this exploratory study with school-age children exposed to PFASs through drinking water highly contaminated from firefighting foams, we aimed to investigate whether exposure to PFASs was associated with alteration in DNA methylation and epigenetic age acceleration. Sixty-three children aged 7–11 years from the Ronneby Biomarker Cohort (Sweden) were included. The children were either controls with only background exposure (n=32; perfluorooctane sulfonic acid: median 2.8 and range AQ11 1–5ng/ml) or those exposed to very high levels of PFASs (n=31; perfluorooctane sulfonic acid: median 295 and range 190–464ng/ml). These two groups were matched on sex, age, and body mass index. Genome-wide methylation of whole-blood DNA was analyzed using the Infinium MethylationEPIC BeadChip kit.</p>
Fig. 2. RPI values for 20 in Growth Processes In The Postembryonic Development In Altricial Birds On The Example Of Song Thrush, Turdus Philomelos (Passeriformers, Turdidae): A Multivariate Approach
Fig. 2. RPI values for 20 traits during the phase of rapid growth (0–8 days), phase of slow growth (8–14 days) and after leaving the nest (14 days to adulthood). Numbers of traits as given in table 1.
What is the best fitness measure in wild populations? A case study on the power of short-term fitness proxies to predict reproductive value
<p>Fitness is at the core of evolutionary theory, but it is difficult to measure accurately. One way to measure long-term fitness is by calculating the individual's reproductive value, which represents the expected number of allele copies an individual passes on to distant future generations. However, this metric of fitness is scarcely used because the estimation of individual's reproductive value requires long-term pedigree data, which is rarely available in wild populations where following individuals from birth to death is often impossible. Wild study systems therefore use short-term fitness metrics as proxies, such as the number of offspring produced. This study obtained three frequently used short-term proxies for fitness obtained at different offspring life stages (eggs, hatchlings, fledglings and recruits), and compared their ability to predict reproductive values derived from the genetic pedigree of a wild passerine bird population. We used twenty years of precise field observations and a near-complete genetic pedigree to calculate reproductive success, individual growth rate and de-lifed fitness as lifetime fitness measures, and as annual de-lifed fitness. We compared the power of these metrics to predict reproductive values and lineage survival to the end of the study period. The three short-term fitness proxies predict the reproductive values and lineage survival only when measured at the recruit stage. There were no significant differences between the different fitness proxies at the same offspring stages in predicting the reproductive values and lineage survival. Annual fitness at one year old predicted reproductive values equally well as lifetime de-lifed fitness. However, none of the short-term fitness proxies was strongly associated with the reproductive values. In summary, the commonly short-term fitness proxies capture long-term fitness with intermediate accuracy at best, if measured at recruitment stage. As lifetime fitness measured at recruit stage and annual fitness in the first year of life were the best proxies of long-term fitness, we encourage their future use.</p>
Lethal interactions among forest-grouse predators are numerous, motivated by hunger and carcasses, and their impacts determined by the demographic value of the victims
<p>New vertebrate communities are emerging in Europe following the recovery of multiple native predators to highly anthropized landscapes where predator control is still prevalent. While the lack of reference points for these communities creates novel challenges for conservationists and wildlife managers, they also provide opportunities to further our understanding of species interactions. Despite a growing body of evidence, many aspects of interactions among predators remain poorly understood, impairing our ability to anticipate the effects of such changes in predator communities. Through a systematic literature review, we gathered all the available evidence concerning the existence, strength, and demographic impacts of lethal predator interactions among forest grouse predators in Europe. We found a highly interconnected predator community, with 44 pairwise lethal interactions among 12 taxa. Three of these resulted in some degree of population suppression of the victim, while another three did not. However, most interactions (38) have not been evaluated for population suppression. Additionally, we highlight how predators interact simultaneously with a large range of other predators and identified at least two further species likely suppressed through the combined impacts of multiple predators. We propose that interactions causing demographic suppression are characterized by impacts on individuals with high survival elasticity, and that they are motivated by food limitation and additionally, in mammals, by competition for carcasses. Predator interactions, and our still poor understanding of them, introduce large uncertainties to conservation actions based on the management of predator abundances, which should be carefully evaluated.</p>
Parameters and values in the base case
<p>Parameters and values in the base case</p>
Risk stratification and prognostic value of basic coagulation parameters among COVID-19 patients
<p class="MsoNormal"><strong><span>Background</span></strong><span>:<strong> </strong></span><span>COVID-19 is a viral disease caused by a new strain of coronaviru<span>s</span><span><span>.</span></span> Currently, prognosis and risk stratification of COVID-19 patients is done by the disease's clinical presentation. Therefore, identifying laboratory biomarkers for disease prognosis and risk stratification of COVID-19 patients is critical for prompt treatment. Therefore, the main objective of this study was to </span><span>assess the risk stratification and prognostic value of basic coagulation parameters and factors associated with disease severity among COVID-19 patients, Northwest Ethiopia.</span></p> <p class="MsoNormal"><strong><span>Methods</span></strong><span>:<strong> </strong></span><span>A follow-up study was conducted among conveniently recruited COVID-19 patients attended from March to June 2021. Socio-demographic and clinical data were collected using a structured questionnaire and checklist, respectively. </span><span>Prothrombin time (PT) and activated partial thromboplastin time (APTT)</span><span> were analyzed by the HUMACLOT DUE PLUS<sup>®</sup> machine. Descriptive statistics were used to summarize the socio-demographic and clinical characteristics of study participants. Kruskal Wallis tests were used to compare the difference between parametric and non-parametric continuous variables, respectively. The area under the receiver operating characteristic curve (AUC) was used to evaluate the value of PT and APTT in the risk stratification and disease prognosis of COVID-19 patients. </span><span>Ordinal</span><span> logistic regression<span> was used to identify the factors associated with disease severity and prognosis</span>. </span><span>A P-value < 0.05 was defined as statistically significant for all results.</span></p> <p class="MsoNormal"><strong><span>Result</span></strong><span>:<strong> </strong></span><span>Baseline PT at a cut-off value <span class="red-underline">≥ </span>16.25 seconds differentiated severe COVID-19 patients from mild and moderate patients (AUC: 0.89, 95% CI: 0.83</span><span><span>–</span>0.95). PT also differentiated mild COVID-19 patients from moderate and severe patients at a cut-off value <span class="red-underline">≤ </span>15.35 seconds (AUC: 0.90, 95% CI: 0.84–0.96). Moreover, alcohol drinkers were 3.52 times more likely chance of having severe disease than non-drinkers (95% CI: 1.41–8.81). A one-year increment in age also increased the odds of disease severity by 6% (95% CI: 3</span><span><span>–</span>9%). An increment of </span><span>≥ 0.65 </span><span>seconds from the baseline<span> </span>PT predicted poor prognosis (AUC:</span><span> 0.93, 0.87–0.99)</span><span>. </span></p> <p class="MsoNormal"><strong><span>Conclusions and recommendations</span></strong><span>:</span><strong><span> </span></strong><span>Prolonged baseline PT was observed in severe COVID-19 patients. <span>Prolonged baseline PT was also predicted to worsen prognosis. An increase from the baseline PT was associated with worsen prognosis. Therefore, </span></span><span>PT can be used as a risk stratification and prognostic marker in COVID-19 patients.</span></p>
Combined morphological trait values (PC1–PC5) of the 9,150 freshwater fish species all over the world
<p>This is a combined morphological trait database using PCA on 9150 freshwater fish species.</p>
Text-fig. 2. Bivariate diagram of length and width of the lower dentition of selected European small and middle size Amphicyoninae compared with the Tuchořice specimens. a: length P4 and M1; b: length m1 and m2; c: length M1 and M2; d: length m1 and p4. Symbols the same as in Text-fig. 1. Data from Schlosser (1899, 1904), Thenius (1949), Dehm (1950), Heizmann (1973), Ginsburg (1989), Peigné (2012). Dotted line – ranges of maximum and minimum values from the average of teeth of Cynelos lemanensis from Ulm (Peigné and Heizmann 2003); solid line – ranges of maximum and minimum values from the average of teeth of Cynelos lemanensis from Saint Gérand (Ginsburg 1977). Abbreviations: L – length. in The Amphicyoninae (Amphicyonidae, Carnivora, Mammalia) Of The Early Miocene From Tuchořice, The Czech Republic
Text-fig. 2. Bivariate diagram of length and width of the lower dentition of selected European small and middle size Amphicyoninae compared with the Tuchořice specimens. a: length P4 and M1; b: length m1 and m2; c: length M1 and M2; d: length m1 and p4. Symbols the same as in Text-fig. 1. Data from Schlosser (1899, 1904), Thenius (1949), Dehm (1950), Heizmann (1973), Ginsburg (1989), Peigné (2012). Dotted line – ranges of maximum and minimum values from the average of teeth of Cynelos lemanensis from Ulm (Peigné and Heizmann 2003); solid line – ranges of maximum and minimum values from the average of teeth of Cynelos lemanensis from Saint Gérand (Ginsburg 1977). Abbreviations: L – length.
Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models
<p>Supplementary information of a <em>Eucalyptus grandis</em> population, genomic and pedigree data including identity information of trees, family, and provenance of the paper entitled: <strong>Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models</strong>.</p> <p> </p>
Supplementary material 1 from: Pina S, Vasconcelos S, Reino L, Santana J, Beja P, Sánchez-Oliver JS, Catry I, Moreira F, Ferreira S (2017) The Orthoptera of Castro Verde Special Protection Area (Southern Portugal): new data and conservation value. ZooKeys 691: 19-48. https://doi.org/10.3897/zookeys.691.14842
Table S1. Species frequency of occurrence per habitat :
Figure 3 from: Pina S, Vasconcelos S, Reino L, Santana J, Beja P, Sánchez-Oliver JS, Catry I, Moreira F, Ferreira S (2017) The Orthoptera of Castro Verde Special Protection Area (Southern Portugal): new data and conservation value. ZooKeys 691: 19-48. https://doi.org/10.3897/zookeys.691.14842
Figure 3 - Frequency of occurrence (%) of each Orthoptera species per habitat type, calculated by dividing the number of occurrences by the number of transects in each habitat type (a), and percentage of sampling sites where the species occurred (b).
Figure 1 from: Pina S, Vasconcelos S, Reino L, Santana J, Beja P, Sánchez-Oliver JS, Catry I, Moreira F, Ferreira S (2017) The Orthoptera of Castro Verde Special Protection Area (Southern Portugal): new data and conservation value. ZooKeys 691: 19-48. https://doi.org/10.3897/zookeys.691.14842
Figure 1 - Location of the study area in southern Portugal showing the sites sampled (triangles), the Special Protection Area of Castro Verde, and the six municipalities encompassed.
Figure 2 from: Pina S, Vasconcelos S, Reino L, Santana J, Beja P, Sánchez-Oliver JS, Catry I, Moreira F, Ferreira S (2017) The Orthoptera of Castro Verde Special Protection Area (Southern Portugal): new data and conservation value. ZooKeys 691: 19-48. https://doi.org/10.3897/zookeys.691.14842
Figure 2 - Total number of Orthoptera species per family and per subfamily. The Acrididae and Tettigonidae subfamilies are discriminated in the stacked columns.
Source codes for obtaining CHD gene association P-values
<p>This includes source codes to obtain gene association P-values from the CHD sequencing data.</p>
Figure 3 from: Hartgerink C, Wicherts J, van Assen M (2016) The value of statistical tools to detect data fabrication. Research Ideas and Outcomes 2: e8860. https://doi.org/10.3897/rio.2.e8860
Figure 3 - Data table from Ruys and Stapel (2008), retracted due to data fabrication. This table includes 15 duplicates (highlighted) in 32 cells, which can be seen as a serious data anomaly that could have been detected with, for example, automated screening procedures.
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.