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86 results for “Data Variations”
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Research ArticleOpen accessIn the abstractSimulation of Aorta Artery Aneurysms Using Active Electronic CircuitKamran Hassani, Mahdi Navidbakhsh, Mostafa RostamiThe fusiform and saccular aneurysms in different aorta artery sections were studied using an electronic circuit of cardiovascular system. The geometrical model of each artery section including thoracic and abdominal were generated in accordance with original anatomical data. By increasing the rate of aneurysm in each studied section, the pressure drop were calculated using CFD method, furthermore the compliance variations … …American Journal of Applied Sciences, Vol. 4, Issue 4 · 30 Apr 2007 · 7,239 accessesView PDFCite
Research ArticleOpen accessIn the abstractUse of the Chi-square Test to Determine Significance of Cumulative Antibiogram DataRocco J. Perla, James CarifioAn important function of a hospital’s Infectious Disease and Pharmacy programs is to review and compare the most recent antibiogram with that of the previous year to determine if significant changes in antibiotic susceptibility results are noted and to communicate this information and its consequences to the medical staff. However, there are currently no formal analytical (decision-making) models in use … …American Journal of Infectious Diseases, Vol. 1, Issue 4 · 31 Dec 2005 · 7,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Methods of Estimation and Modelling Spatial Distribution of Evapotranspiration in the Middle Heihe River Basin, ChinaChuanyan Zhao, Zhongren Nan, Guodong ChengSeven models commonly used to estimate the daily reference evapotranspiration (ET0) were evaluated in the middle Heihe River Basin of the arid northwestern part of China. The objectives of the study are to choose the appropriate model for estimating the areal distribution of ET0 and to explain the spatial-temporal distribution of the same through GIS in the study area. The … …American Journal of Environmental Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Performance of Supervised Learning Algorithms for Flood Prediction in Kemaman, TerengganuNur Najihah Shaaban, Norlida Hassan, Aida Mustapha, Salama A. MostafaFlood is one of the most destructive phenomena all over the world. Because the flooding uncertainties and the urgency to prepare for disaster management, three specific technique approaches are compared in this study to predict the flood occurrence based on historical rainfall data. The study involved the rainfall data in Kemaman, Terengganu between 2017 and 2018 extracted from the official … …Journal of Computer Science, Vol. 17, Issue 5 · 7 May 2021 · 6,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Molecular Markers ISSR, SSR and RFLP to Study the Genetic Variation of Strawberry CultivarsGanies Riza Aristya, Rina Kasiamdari, Muhammad Fauzi Arif et al.Strawberry is grown in Indonesia because it has potential high economic value. The purpose of this study was to investigate relationship of phenetic lineage and genetic variations in 12 strawberry cultivars using three different molecular marker methods, including ISSR, SSR and RFLP. Five primers of ISSR markers were used and they generated 53 bands with 44 polymorphic DNA bands. Percentage … …American Journal of Agricultural and Biological Sciences, Vol. 14, Issue 1 · 19 Mar 2019 · 9,188 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Impact Assessment of Quarrying Plants: An IRF Kriging Solution to Noise and Airborne Dust MonitoringDario Lippiello, Guido Alfaro Degan, Mario PinzariA geostatistical approach is tested for the assessment of the environmental impact generated by industrial plants on the surrounding areas. To this end, a case study of a tuff quarry in the Italian region of Lazio is presented. The method utilised is Intrinsic Kriging with external drift which allows spatial maps of different hazardous agents like noise and airborne dust … …American Journal of Environmental Sciences, Vol. 15, Issue 1 · 9 Feb 2019 · 7,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractNamed Entity Recognition for Kannada using Gazetteers list with Conditional Random FieldsK. P. Pallavi, L. Sobha, M. M. RamyaNamed Entities (NEs) that exist in the sentences are essential to build Natural Language Processing (NLP) applications for Information Extraction (IE) from large corpora. However, generating a large corpus is challenging for resource poor languages, such as Kannada. Further, there is no annotated corpus available online. The challenges faced in annotating NEs with pre-defined classes are: It is morphologically joined … …Journal of Computer Science, Vol. 14, Issue 5 · 24 Feb 2018 · 8,278 accessesView PDFCite
Research ArticleOpen accessIn the abstractBooming Medical Tourism and Economic IndicesRamalingam ShanmugamGlobalization in this 21st century unifies nations. The globalization impacts positively to promote trade and services among the nations but it could also harm economic growth and technological innovations in nations as their capital are drained to elsewhere. On its own merits, the globalization is a true manifestation of an open economy. The medical profession is not immune to this … …International Journal of Research in Nursing, Vol. 3, Issue 2 · 30 Mar 2013 · 7,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeologic Mapping of United Arab Emirates using Multispectral Remotely Sensed DataMaged Marghany, Shattri Mansor, Mazlan HashimProblem statement: Geological studies are requiring standard methods and procedures to acquire precisely information. However, traditional methods might be difficult to use due to highly earth complex topography. Regarding the previous prospective, the advantage of satellite remote sensing in its application to geology is the wide coverage over the area of interest, where much accurate and useful information such as … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,591 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe use of Principal Component Regression and Time Series Analysis to Predict Nitrous Oxide Emissions in GhanaBenjamin Odoi, Lewis Brew, Christopher AttafuahThe disturbing pace of emanation of Nitrous Oxide (N2O) into the atmosphere and its calamitous impact on the environment, as monitored by many governmental agencies and researchers has become a wellspring of worry for many nations and therefore needs due attention. The study deployed nitrous oxide emissions from the three sectors to the total nitrous oxide emissions in Ghana over … …Energy Research Journal, Vol. 12, Issue 1 · 6 Jan 2021 · 8,598 accessesView PDFCite