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87 results for “Learning and Memory”
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Research ArticleOpen accessIn the abstractNovel Apache Spark based Algorithm to Solve Dirichlet Problem for Poisson Equation in 3D Computational DomainShomanov Aday, Mansurova MadinaParallel computations are essential tool in solving large-scale computationally demanding problems. Due to large diversity and heterogeneity of the currently available parallel processing techniques and paradigms it is usually difficult to find the right solution that will perform well according to every performance metric. As one of the recent developments in parallel computing Apache Spark framework allows to process petabyte-scale … …Journal of Computer Science, Vol. 12, Issue 10 · 15 Dec 2016 · 7,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractBIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA MarkersSarika Jaiswal, Sandeep Kumar Dhanda, M. A. Iquebal et al.Domestic cow, Bos taurus is one of the important species selected by humans for various traits, viz. milk yield, meat quality, draft ability, resistance to disease and pests and social and religious reasons. Since cattle domestication from Neolithic (8,000-10,000 years ago) today the population has reached 1.5 billion and further it’s likely to be 2.6 billion by 2050. High magnitude … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 23 Jan 2016 · 9,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractCHRONIC NEONATAL DIAZOXIDE THERAPY IS NOT ASSOCIATED WITH ADVERSE EFFECTSMichele M. Cox, Christopher C. Wendler, Ildiko Erdelyi et al.Diazoxide is an ATP-sensitive potassium channel (KATP) agonist that has been shown to neuroprotective effects. These observations raise the possibility that diazoxide may have potential as a therapeutic agent for other applications. This study investigated (1) the long term effects of chronic neonatal administration of diazoxide and (2) the role of KATP on murin behavior and neurohistology. C57B/6J pups were … …OnLine Journal of Biological Sciences, Vol. 14, Issue 1 · 27 Jan 2014 · 7,447 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolving Fuzzy Neural Network for Phishing Emails DetectionAmmar ALmomani, Tat-Chee Wan, Altyeb Altaher et al.One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new … …Journal of Computer Science, Vol. 8, Issue 7 · 4 Jun 2012 · 8,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange TrendsM. Gunasekaran, K. S. RamaswamiProblem statement: The purpose of this study is to develop an artificial immune system for recognizing stock market trends and predict upward and downward directions of stock market. This study compared two prediction models, an Artificial Immune System (AIS) and Artificial Neural Network (ANN) for predicting the future index value, trend of Indian stock market and discovers the best prediction … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,075 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient and Effective Immune Based ClassifierShahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura UdzirProblem statement: Artificial Immune Recognition System (AIRS) is most popular and effective immune inspired classifier. Resource competition is one stage of AIRS. Resource competition is done based on the number of allocated resources. AIRS uses a linear method to allocate resources. The linear resource allocation increases the training time of classifier. Approach: In this study, a new nonlinear resource allocation … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractNasal Administration of Quercetin Liposomes Modulate Cognitive Impairment and Inhibit Acetylcholinesterase Activity in HippocampusTerdthai Tong-Un, Supaporn Muchimapura, Wathita Phachonpai, Jintanaporn WattanathornProblem statement: Oxidative stress is a major factor implicated in the degeneration of cholinergic neurons in Alzheimer’s Disease (AD). Several reports have indicated that antioxidant intake is beneficial to delay or inhibit the progression of this disease. Presently, Acetylcholinesterase (AChE) inhibitors are the mainstay of therapy for AD. Quercetin, one of the flavonoids in fruits and vegetables, has a powerful … …Neuroscience International, Vol. 1, Issue 1 · 30 Jun 2010 · 7,170 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Probabilistic Motif Discovery in Unaligned Biological SequencesM. Hemalatha, K. VivekanandanFinding motif in biosequences is the most important primitive operation in computational biology. There are many computational requirements for a motif discovery algorithm such as computer memory space requirement and computational complexity. To overcome the complexity of motif discovery, we propose an alternative solution integrating genetic algorithm and Fuzzy Art machine learning approaches for eliminating multiple sequence alignment process. Problem … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,729 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Backpropagation Neural Network for Computer Network SecurityKhalil ShihabIn this paper, an efficient and scalable technique for computer network security is presented. On one hand, the decryption scheme and the public key creation used in this work are based on a multi-layer neural network that is trained by backpropagation learning algorithm. On the other hand, the encryption scheme and the private key creation process are based on Boolean … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 19,535 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeuropsychological Dysfunction among HIV Infected Drug AbusersRamani S. Durvasula, Charles H. HinkinHuman immunodeficiency virus (HIV) has been documented to cause direct and indirect central nervous system dysfunction that can be observed as a progressive decline in neuropsychological functioning in a large proportion of persons with HIV and AIDS. Neuropsychological decline in individuals with HIV is characterized by cognitive and motor slowing, attentional deficits, executive dysfunction and memory impairment (characterized by intact … …American Journal of Infectious Diseases, Vol. 2, Issue 2 · 30 Jun 2006 · 7,155 accessesView PDFCite