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73 results for “Nasa”
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Review ArticleOpen accessIn the keywordsAn Exoplanet has Smothering Stratosphere without WaterRelly Victoria Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuIn some earlier works, the authors of the present study have shown that a modern ship should resemble a UFO, an accelerated particle jet propulsion with a particle accelerator on board the ship, accelerating to the very best big. The problem as an idea is clear and simple, but the current technologies we have in the field of fixed particle … …Journal of Aircraft and Spacecraft Technology, Vol. 2, Issue 1 · 22 Jan 2018 · 6,995 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA First-Class Ticket to the Planet Mars, PleaseRelly Victoria Petrescu, Raffaella Aversa, Bilal Akash et al.The paper presents some aspects related to the current stage in the aerospace industry, referring to the current possibilities of moving in space. The main problem that has kept mankind for so many millennia has been the less speed of movement, but also the difficult exit into outer space. For a ship to be able to defeat gravitational forces and … …Journal of Aircraft and Spacecraft Technology, Vol. 1, Issue 4 · 1 Dec 2017 · 7,003 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Evaluation of Thermal Imaging Based Respiration Rate Monitoring in ChildrenFarah AL-Khalidi, Reza Saatchi, Heather Elphick, Derek BurkeProblem statement: An important indicator of an individual’s health is respiration rate. It is the average number of times air is inhaled and exhaled per minute. Existing respiration monitoring methods require an instrument to be attached to the patient’s body during the recording. This is a discomfort to the patient and the instrument can be dislodged from its position. Approach: … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 31 Jul 2012 · 10,531 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCognitive-Enhancing and Antioxidant Activities of Quercetin Liposomes in Animal Model of Alzheimer's DiseaseTerdthai Tong-un, Panakaporn Wannanon, Jintanaporn Wattanathorn, Wathita PhachonpaiProblem statement: Recent findings demonstrated the crucial role of oxidative stress on the pathophysiology of Alzheimer’s Disease (AD). Antioxidant intake is beneficial to delay or inhibit the progression of this disease. Quercetin, a bioflavonoid in fruits and vegetables, has a powerful antioxidant activity both in vitro and in vivo. Claims that quercetin has many biological activities. However, quercetin is rapidly … …OnLine Journal of Biological Sciences, Vol. 10, Issue 2 · 31 Oct 2010 · 7,880 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA New Exoplanet Reveals its IdentityNicolae Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuPositioned approximately 70 light years from Earth a sun named by astronomer HD 97658, is nearly bright enough to be seen even with the naked eye. The more interesting part of the problem lies in the fact that this sun, this star, also has an exoplanet HD 97658b, the size of which is approximately double compared to our planet Earth … …Journal of Aircraft and Spacecraft Technology, Vol. 2, Issue 1 · 5 Jun 2018 · 7,495 accessesView PDFCite
Review ArticleOpen accessIn the keywordsStructure of Buried Ice on MarsRelly Victoria Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuAfter the older evidence that there is carbon dioxide on Mars made up of oxygen 2 and carbon now we have evidence that there is even normal water on the marble consisting of hydrogen 2 and oxygen. In other words, we have Martian oxygen combined with carbon and hydrogen, so we can extract oxygen directly to the site to initially … …Journal of Aircraft and Spacecraft Technology, Vol. 2, Issue 1 · 22 Jan 2018 · 7,212 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDevelopment of Software Reliability Growth Models for Industrial Applications Using Fuzzy LogicSultan AljahdaliProblem statement: The utilization of Software Reliability Growth Models (SRGM) plays a major role in monitoring progress, accurately predicting the number of faults in the software during both development and testing processes; define the release date of a software product, helps in allocating resources and estimating the cost for software maintenance. This leads to achieving the required reliability level of … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,007 accessesView PDFCite
Research ArticleOpen accessIn the author namesNumerical Analysis of the Integration of Wind Turbines into the Design of the Built EnvironmentHassam Nasarullah Chaudhry, John Kaiser Calautit, Ben Richard HughesThe effect of wind distribution on the architectural domain of the Bahrain Trade Centre was numerically analysed using Computational Fluid Dynamics (CFD). Using the numerical data, the power generation potential of the building integrated wind turbines was determined in response to the prevailing wind direction. Simulating a reference wind speed of 6 m/s, the findings from the study quantified an … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 4 · 22 Dec 2014 · 7,534 accessesView PDFCite
Research ArticleOpen accessIn the author namesFATTY ACIDS PATTERN OF OLIVE OIL UNDER ORGANIC FARMINGNasab Al-Rawashdeh, Fawzi Al-SheyabOrganic farming is considered as a mitigation strategy to face adverse effect of climate change and Consumers’ increasing their need for safe and quality food has motivated this research study. The olive oil of the Roman olive trees (Landrace) Olea Europea belong to the Oleaceae family growing under organic farming (in the transition period) conditions in Jordan Ajlun area was … …American Journal of Environmental Sciences, Vol. 10, Issue 2 · 16 Apr 2014 · 7,343 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite