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Application of subcutaneous and / or intraperitoneal analgesia is not effective in reducing pain after laparoscopy
Data Types:
  • Tabular Data
  • Dataset
The specific gravity of Covid-19 analysis for survivability of a state. Basic statistical calculations and Rank methods use to obtain risk assessment scores for decision making on prioritizing the focus and attention needed to few states more than others which may show a larger value of cases as of now but has medical systems that are capable of survival of paitients.
Data Types:
  • Tabular Data
  • Dataset
This dataset contains of Google RSV related to COVID-19 and COVID-19 new cases in Taiwan [December 5th, 2019 to February 8th, 2020]
Data Types:
  • Tabular Data
  • Dataset
OVARIAN CANCER PATIENTS EXCEL
Data Types:
  • Tabular Data
  • Dataset
The dataset is related to linear rock cutting experiments on concrete samples that consisted of different concrete mixtures. It is a supplement to scoping study using a procedural evaluation routine to analyse cutting Force Component Ratios (FCR) that could be used for the identification of changing mechanical rock properties during mechanical excavation. It focuses on the use of FCR in conjunction with point attack picks. The cutting depth and the spacing-to-depth ratio were varied at three levels each. 6, 8 and 12 mm for cutting depth (Coded as DZ in Dataset), the spacing ration at levels of 2, 3 and 4. In the dataset, the resulting spacing is stored as DY. Two artificial rock samples were tested. The samples were composed of two respective three different zones of concrete. The first block’s zones had a nominal cubic Uniaxial Compressive Strength (UCS) of 85 MPa (Zone 3) and 45 MPa (Zone 2). The zones of the second block were 85 (Zone 3), 45 (Zone 2) and 25 MPa (Zone 1). For each combination of cutting parameters, a whole layer of a specimen was cut in such a way that each cut groove crossed the different zones. In total, 414 single cuts were conducted to achieve reliable results. A procedural evaluation process was developed to assess the potential of Force Compononent Ratios for material differenciation based on statistical descriptors. The descriptors used where: arithmetic mean, geometric mean, median, interquartile range, 0.95-quantile, variance coefficient. A classification algorithm implemented in R was utilized to classify all combinations of statistical descriptors and Force Component Ratio. In total 72, combinations of Force Component Ratio and statistical descriptor were classified, 9 combinations were classified as suitable, 10 as partially suitable and the rest as unsuitable. The results imply that an FCR material differenciation based an raw cutting force measurements could be a tool for material diferenciation during mechanical excavation
Data Types:
  • Software/Code
  • Image
  • Tabular Data
  • Dataset
  • Text
This data set contains all data used to build the urban ecosystem service model for predicting the the PM2.5 removal service in Beijing under three policy scenarios by 2035. It has two parts: (1) python script of the entire model and associated data including attribute data of sociaoeconomic status and TIFF files of land use change restirctions; (2) testing data and simulation results including TIFF files of LAI, land use distribution, PM2.5 concentration, wind speed.
Data Types:
  • Dataset
  • File Set
This data set comprise the data generated during elaboration of the manuscript entitled "Design of a Micro-Machined Flow Sensor for Aircraft Air Data Systems Application: Mechanical Considerations". These data are COMSOL and ANSYS files.
Data Types:
  • Other
  • Dataset
  • File Set
Dexamethasone is frequently administered to surgical patients for anti-emetic prophylaxis. We have examined the early in-vivo effects of dexamethasone (8 mg) to demonstrate the magnitude and temporal nature of immune-modulatory effects in circulating peripheral blood mononuclear cells in 10 healthy male volunteers. Blood samples were drawn at baseline, 2 h, 4 h and 24 h. Immune cell phenotypes were examined with flow cytometry, and we have already reported reductions in classical and intermediate monocytes and dendritic cells early after dexamethasone administration, followed by an increase in the level of these populations at 24 h. We also observed a profound reduction in the expression strength of the maturation marker, HLA-DR at 24 h in all monocyte subsets and dendritic cells. This study confirmed rapid transient effects of 8 mg dexamethasone on innate immune cells. We have now also evaluated the expression strength of additional markers involved in immune activation and immunosuppression as well as maturation, migration, cell death and responsiveness to signalling. Similar to the previously described surface markers, also these were profoundly affected by dexamethasone either at the early (2 h or 4 h) or later stage (24 h) after dexamethasone administration. Thereby these data improve our understanding of the immune-modulatory effects of the glucocorticoid dexamethasone in-vivo, which may be important for the optimisation of treatment regimens as well as the evaluation of new indications for glucocorticoid treatment.
Data Types:
  • Tabular Data
  • Dataset
This dataset is base on the New Food Balance Sheet of 2017, available at FAO data repository, used to estimate the Nutritional Losses worldwide.
Data Types:
  • Tabular Data
  • Dataset
The knowledge management reseach dataset with affiliated research institutions is from Indonesia, which was indexed by Scopus from 1999 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
Data Types:
  • Tabular Data
  • Dataset
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