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opennotspecifiedSep 2020View details →

Figure 4 in Optimizing biodiversity informatics to improve information flow, data quality, and utility for science and society

Figure 4. Graphical representation of original and recently modified pathways for feedback regarding Primary Biodiversity Data, showing information transfer among users, providers, and aggregators. Such feedback consists of suggested improvements or additions to data fields, for example a change in species identification or a newly determined georeference. The diagrams contrast two complementary mechanisms: (a) the original feedback loop (currently dominant); and (b) the emerging feedback pendulum (proposed for expansion). In a: (1) the user sends feedback to the provider (e.g., a given natural history museum); (2) if the provider makes a corresponding change to its database, the updated information is sent to the aggregator; and (3) that information becomes available for query by all users. In practice, because many providers do not consistently make such changes (denoted by an X), users do have access to updated information (dashed line). In b: (1) the user sends feedback to the aggregator; (2) the aggregator simultaneously both annotates the record (visible to all users) and sends the suggested information to the provider; (3) if the provider makes a corresponding change to its database, the updated information is sent to the aggregator; and (4) the aggregator makes the updated information available for query by all users. Note that even if a provider takes no action regarding the suggested information, the annotations placed by the aggregator are nevertheless available to users. Additionally, because the quantifications of data quality and use described in the text allow for benchmarks that can be tracked over time, we anticipate that the feedback pendulum will help providers become more successful in justifying and securing funding to make data improvements based on feedback from users.

opencc-zeroNov 2020View details →

Data from: Reporting guidelines for community-based participatory research (CBPR) did not improve the reporting quality of published studies: a systematic review of studies on smoking cessation

Although a guideline for reporting the results of community-based participatory research (CBPR) was published in 2010, the impact on the quality of reporting a CBPR on smoking cessation is unknown. Here we provide the raw data of a systematic review that assessed the impact of a 2010 community-based participatory research reporting guideline. on the quality of reporting a CBPR on smoking cessation. Specifically, we searched the MEDLINE, Embase, the Cochrane Central Register for Controlled Trials (CENTRAL), PsycINFO, and CINAHL databases and included articles published up to October 2018 (PROSPERO: CRD42019111668). We assessed reporting quality using a 13-item checklist.

opencc-zeroDec 2017View details →

Data from: Can the use of digital algorithms improve quality care? An example from Afghanistan

Background Quality of care is a difficult parameter to measure. With the introduction of digital algorithms based on the Integrated Management of Childhood Illness (IMCI), we are interested to understand if the adherence to the guidelines improved for a better quality of care for children under 5 years old. Methods More than one year after the introduction of digital algorithms, we carried out two cross sectional studies to assess the improvements in comparison with the situation prior to the implementation of the project, in two Basic Health Centres in Kabul province. One survey was carried out inside the consultation room and was based on the direct observation of 181 consultations of children aged 2 months to 5 years old, using a checklist completed by a senior physicians. The second survey queried 181 caretakers of children outside the health facility for their opinion about the consultation carried out through the tablet and prescriptions and medications given. Results We measured the quality of care as adherence to the IMCI's guidelines. The study evaluated the quality of the physical examination and the therapies prescribed with a special attention to antibiotic prescription. We noticed a dramatic improvement (p<0.05) of several indicators following the introduction of digital algorithms. The baseline physical examination was appropriate only for 23.8% [IC% 19.9-28.1] of the patients, 34.5% [IC% 30.0-39.2] received a correct treatment and 86.1% [IC% 82.4-89.2] received at least one antibiotic. With the introduction of digital algorithms, these indicators statistically improved respectively to 84.0% [IC% 77.9-88.6], >85% and less than 30%. Conclusions Our findings suggest that digital algorithms improve quality of care by applying the guidelines more effectively. Our experience should encourage to test this tool in different settings and to scale up its use at province/state level.

opencc-zeroDec 2018View details →

Data from: Temporal road closures improve habitat quality for wildlife

Increasing levels of human activity threaten wildlife populations through direct mortality, habitat degradation, and habitat fragmentation. Area closures can improve habitat quality for wildlife, but may be difficult to achieve where tourism or other economic drivers are a priority. Temporal closures that limit human use during specific times of day have potential to increase habitat quality for wildlife, while continuing to provide opportunities for human use. However, the effectiveness of daily temporal closures has not been tested. We assessed how implementation of a temporal road closure affected wildlife movements in Banff National Park. Parks Canada closed a popular 17 km stretch of road between 2000 and 0800 hours to improve habitat quality for wildlife. We assessed the effectiveness of the closure on nine mammal species using three sets of data: remote cameras, road surveys, and grizzly bear (Ursus arctos) GPS data. In all three analyses, wildlife detection rates on the road doubled during the closure while remaining unchanged in reference areas. Our strong and consistent results suggest temporal closures are an important conservation tool that can increase habitat quality for wildlife while minimizing effects on people.

opencc-by-4.0Mar 2024View details →

ReCOVery APP: Improving the quality of life of Long COVID people

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opencc-by-4.0Nov 2024View details →

Improving sperm quality of large South American catfish using trehalose-based activating solutions

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opencc-by-4.0Nov 2024View details →

Decarbonization pathways promote improvements in cement quality and reduce the environmental impact of China's cement industry

The data show the results of the papre "Decarbonization pathways promote improvements in cement quality and reduce the environmental impact of China’s cement industry".

opencc-by-4.0Mar 2022View details →

Supplemental data and code for Improved air quality in China can enhance solar power performance and accelerate carbon neutrality targets

Supplemental data and code for Improved air quality in China can enhance solar power performance and accelerate carbon neutrality targets

opencc-zeroApr 2022View details →

Data from: Does egg carotenoid improve larval quality in Arctic charr (Salvelinus alpinus)?

Females in mutually ornamented species are often less conspicuously ornamented than their male conspecifics. It has been hypothesized that offspring quality may decrease if females invest more resources into ornaments at the expense of resources in eggs. An experiment was carried out to test whether natural variation in carotenoid in the eggs from a wild population of Arctic charr (Salvelinus alpinus) was associated with survival and growth of their offspring until hatching. Wild Arctic charr were caught at a spawning ground during the spawning period. Eggs from two different females, one female with yellowish carotenoid-rich eggs and one with paler eggs, were fertilized by sperm from the same male. This was repeated until gametes were collected from 42 females and 21 males, giving a total of 21 groups. After fertilization, the zygotes from each of the two females were reared in four replicated groups. These 168 groups were reared separately until hatching when the surviving larvae were counted and their body length measured. For the two response variables survival and body length at hatching, no effect was demonstrated of any of the predictors (i) amount of carotenoid in the unfertilized eggs, (ii) the mothers' body condition or (iii) ornament intensity of their red carotenoid-based abdominal ornament. Thus, this study gives no support for the hypothesis that females investing less carotenoid into their eggs suffer from decreased offspring quality until hatching. This lack of association between female ornament intensity and their fitness is not as expected if female ornaments evolved due to direct sexual selection from males on the more ornamented females ("direct selection hypothesis").

opencc-by-4.0May 2021View details →

Publication data of How to improve data quality in dog eye tracking

Publication data of How to improve data quality in dog eye tracking

opencc-by-4.0Jun 2024View details →

Improving the Quality of Lecturer Competencies in Writing Scientific Journals

This material has presented on 2nd International Conference on Advance Research in Social and Economic Science in October 25, 2023.

opencc-by-4.0Oct 2024View details →

Dataset The Importance of Interface Design and Security Awareness in Improving Service Quality and Its Impact on Digital Customer Loyalty of Smart Mobile Banking

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opencc-by-4.0Sep 2021View details →

Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning with Satellite AOD

Input data for random forest model.    1) UM_RDAPS.egg file: It provides analysis and forecast products four times a day (00, 06, 12, 18 UTC) in 12 km x 12 km spatial resolution. In this study, analysis products were only considered as the input variables (i.e., 2m temperature and dew-point temperature, relative humidity (RH), maximum wind speed, visibility at height above the ground, planetary boundary layer height (PBLH), and surface pressure). The accumulated maximum wind speed during 1, 3, 5, 7 days were also used in this study. 2) data_1.zip file: GOCI Aerosol product, MODIS Land cover, MODIS NDVI, Population density, Road density, SRTM_DEM.    The detailed information of input variables is written in the supporting information of the paper.

opencc-by-4.0Nov 2022View details →

Strengthened PM2.5 air quality improvement and health benefits by synergies of carbon peak, carbon neutrality, and clean air policies in China

Dataset and code used in this research: (1) emission, major air pollutants (i.e., SO2, NOx, PM25, NMVOCs, NH3), and CO2 emissions during 2020-2060 under the scenario ensembles (i.e., reference, clean air, on-time peak-clean air, on-time peak-net zero-clean air, early peak-net zero-clean air). (2) PM2.5 exposure (NetCDF, 0.1×0.1), future PM2.5 concentrations (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles, re-gridded from the corresponding CMAQ simulations. (3) population, future population grid under the SSP1 scenario, re-gridded from SSP Datasets (<a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">http://clima</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">-</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">dods.ictp.it/Users/fcolon_g/ISI</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">-</a><a href="http://clima-dods.ictp.it/Users/fcolon_g/ISI-MIP/">MIP/</a>). (4) death, PM2.5-related premature deaths (2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060) under the scenario ensembles. (5) code for premature death calculation, with the method of GBD2019. (6) code for re-grid PM2.5 concentrations from CMAQ output.

Fig. 7 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe

Fig. 7. Multivariate data analysis (MVDA) of fresh and dried Peruvian ginger samples. A. Principal component analysis (PCA) showed clear separation of fresh and dried ginger samples. B. Orthogonal projections to latent structures discriminant analysis (OPLS-DA) showed clear separation of fresh and dried ginger samples. C. Splot of OPLS-DA. D. VIP scores based on the metabolite data from fresh and dry ginger extracts.

Fig. 9 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe

Fig. 9. [6]-Gingerol (A) and [6]-shogaol (B) contents in μg/g fresh weight (μg/ g FW) among the tested fresh ginger samples using different extraction solvents. Error bars indicate mean ± SE for five replicates. Black asterisks indicate significance difference from the Peruvian samples (*P <0.05, Student's t-test).

Fig. 5 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe

Fig. 5. The influence of geographical distribution of ginger on the gingerols and gingerol-related metabolites. The figure also describes the biosynthetic pathway of [6]-gingerol and hexahydrocurcumin and subsequent transformations. The opposed abundances of the precursors (i.e., phenylalanine and cinnamic acid) and end products (i.e., [6]-gingerol, hexahydrocurcumin, and gingerenone A and B) hypothesize that they have the same biosynthetic pathway.

Fig. 3 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe

Fig. 3. The use of retention time, accurate mass, and co-elution pattern for compound validation. A. Total ion chromatogram (TIC) and extracted ion chromatograms (EIC) of [6]-gingerol measured by UPLC/MS in positive and negative ionization modes. B. Different gingerols within the same class show a retention time pattern according to their chain length. Intra-class variability is shown by XIC in positive ionization mode for the 6, 8 and 10-gingerol. C. Scatter plot representation of different gingerols annotated from the tested samples. The m/z of the loss of water from the protonated adducts is given on the x-axis and the observed RT (min) is given in the y-axis. The plot illustrates how the correlation between elution (RT) and chain length in the annotated gingerols can be used for the prediction of other compounds within the same class.

Fig. 4 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe

Fig. 4. Multivariate data analysis (MVDA) of fresh Ginger samples collected from different localities. A. Principal component analysis (PCA) showed clear separation of geographically different fresh ginger samples. B. VIP scores showing the top 25 metabolites discriminating ginger samples C. Dendrogram of the investigated fresh ginger samples based on the metabolites obtained after MS data analysis.

Fig. 2 in The integration of MS-based metabolomics and multivariate data analysis allows for improved quality assessment of Zingiber officinale Roscoe

Fig. 2. Schematic diagram showing the steps for confident compound identification. The feature with the retention time of 12.94 min and 295.191 m/z, representing 6-gingerol was selected. Total ion chromatogram (TIC) and extracted ion chromatograms (EIC) were measured by UPLC/MS in the positive ionization mode.