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Research ArticleOpen accessIn the abstractTransformative Effects of Big Data on Advanced Data Analytics: Open Issues and Critical ChallengesShabnam Kumari, P. MuthulakshmiWe are living in the period of the information era (i.e., where data/information is the new oil for companies/industries). The term big data had been authored to depict this age. This study characterizes a lot on the idea of big data and its progress over the previous decade to till date. This study presents the meaning of this new idea … …Journal of Computer Science, Vol. 18, Issue 6 · 14 Jun 2022 · 6,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing the Newspaper Distribution Scenarios using Genetic Algorithm: A Case Study of IndiaSachin Suresh Kamble, Rakesh Raut, Shradha Ashok GawankarThis paper attempts to optimize the various newspaper distribution scenario as observed in India. It found from the literature that earlier research work carried out in optimizing the vehicle routing networks problem using time window and scope was limited to distribution from newspaper printing location to the vendor point of distribution. This paper focuses on the distribution of newspaper from … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 8,187 accessesView PDFCite
Literature ReviewOpen accessIn the abstractLiterature Study on Factors Influencing the Biochemical Analytes Stability in Blood, Serum and Plasma: Systematic ReviewSamia El Mahi, Asmae Tantane, Sanaa Ait Hamou, Said OubraimBlood testing represents an essential phase in diagnosis and treatment. It is important to comprehend the biochemical analytes' stability. This research gathers information from different journals that have investigated the stability of biochemical analytes under different conditions. This research aims to collect and analyze data about conditions that promote stability, conditions that lead to instability, and how stability varies in … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 21 Aug 2024 · 5,192 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdditive Manufacturing in the Aerospace IndustryLidong Wang, Reed Mosher, Patti DuettThe main advantages of Additive Manufacturing (AM) of metals in the aerospace industry are part consolidation; the reduction of lead time, the construction of complicated structures easily with a great Strength-to-Weight (S:W) ratio; production of parts on-demand with reduced inventory, uncertainty and the costs of supply chains. Ti6Al4V and nickel-based alloys are commonly used AM materials for aerospace parts. Ground-based … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 12 Jun 2024 · 8,106 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Artificial Intelligence on Social Media ContentElsir Ali Saad Mohamed, Murtada Elbashir Osman, Badur Algasim MohamedArtificial Intelligence (AI) has become a powerful tool for creating and managing social media content. Social media platforms have integrated AI technology into their algorithms to optimize the user experience. However, the impact of AI on social media is a topic of debate. This research aims to explore the effects of AI and its implications for content creators and consumers. … …Journal of Social Sciences, Vol. 20, Issue 1 · 22 Apr 2024 · 39,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Bi-Directional Grid Constrained Stochastic Processes to Algorithmic TradingAldo Taranto, Shahjahan KhanBi-directional Grid Constrained (BGC) Stochastic Processes (BGCSP) become more constrained the further they drift away from the origin or time axis are examined here. As they drift further away from the time axis, then the greater the likelihood of stopping, as if by two hidden reflective barriers. The theory of BGCSP is applied to a trading environment in which long … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 6 Mar 2021 · 8,524 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,399 accessesView PDFCite
EditorialOpen accessIn the abstractNaloxone as a Harm Reduction Initiative: Misinterpretations of ResearchRichard R. MassattiIn the American Medical Journal, Annahita Beheshti and colleagues review the literature on naloxone use for opioid overdose in West Virginia (Beheshti et al., 2015). The authors cite several of my publications in support of their views on naloxone (Massatti, 2013; Massatti et al., 2014), but many of these citations misinterpret my work by using it to present a counterargument … …Current Research in Medicine, Vol. 7, Issue 1 · 9 Apr 2016 · 8,029 accessesView PDFCite
Technical ReportOpen accessIn the abstractAnalysis of Low Probability of Intercept Radar Signals Using the Reassignment MethodDaniel L. Stevens, Stephanie A. SchuckersDigital intercept receivers are currently moving towards classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. Although these techniques are an improvement over existing Fourier-based techniques, they still suffer from a lack of readability, due to poor time-frequency localization and cross-term interference, which may lead to inaccurate detection and parameter extraction. In this study, the reassignment method, … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 25 Mar 2015 · 7,210 accessesView PDFCite