EditorialOpen accessIn the abstractNeutrophil Extracellular Traps as Therapeutic Targets for Inflammatory DiseaseRory R. KoenenNeutrophilic granulocytes, or neutrophils are the most abundant circulating white blood cell and constitute a first line of defense against pathogens. They are characterized by a large polymorphic lobular nucleus and the presence of many secretory granules in their cytoplasm. Neutrophils are essential for a functional host defense, as is evidenced by the occurrence of severe infections in individuals with … …American Journal of Pharmacology and Toxicology, Vol. 9, Issue 4 · 25 Feb 2015 · 8,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Soil Total Nitrogen, Phosphorus and Potassium Content Based on the Spectral Information of Citrus CanopyLin Yunshuo, Li Zhen, Lv Shilei et al.The content of total nitrogen, phosphorus and potassium in the soil is an important basis for calculating the best fertilization amount and realizing the reasonable fertilization of the orange planting soil in time and accurately. In this research, hyper-spectral technology is applied to detect the three soil nutrient elements in the cultivated soil of citrus trees. Four spectral bands with … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 17 Apr 2020 · 7,810 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Machine Learning Model for Heart Disease Classification and CategorizationSrikanth Meda, Raveendrababu BhogapathiProgressions in the coordination among the machine learning algorithms, helped to achieve high accuracy and reliability in decision-making systems. Due to the impact and importance of heart diseases in real life, designing the efficient heart disease prediction model become a pivotal aspect today. Former research scholars applied the popular supervised machine learning models like Decision Trees, Naïve Bayes, ANN's, and … …Journal of Computer Science, Vol. 18, Issue 4 · 19 Apr 2022 · 6,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Cardiovascular Diseases with Bayesian ClassifiersAlaa Elsayad, Mahmoud FakhrCardiovascular disease or atherosclerosis is any disease affecting the cardiovascular system. They include coronary heart disease, raised blood pressure, cerebrovascular disease, peripheral artery disease, rheumatic heart disease, congenital heart disease and heart failure. They are treated by cardiologists, thoracic surgeons, vascular surgeons, neurologists and interventional radiologists. The diagnosis is an important yet complicated task that needs to be done accurately … …Journal of Computer Science, Vol. 11, Issue 2 · 25 Mar 2015 · 7,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractAndroid Based Energy Aware Framework for Porting Legacy ApplicationsNaeem Zafar AzeemiTrend is growing towards using complex multimedia functions on smaller devices. In this study, we explore the effect of migrating legacy signal processing software applications algorithms from large form factor devices to the smaller one such as handheld mobile devices known as Energy Conscious Mobile Computing Systems (EConMCS). We concentrate on Source Code Volatility (SCV), including inherent algorithm complexity and … …American Journal of Applied Sciences, Vol. 11, Issue 12 · 3 Jan 2015 · 6,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractEXPOSURE TO SWINE HOUSING DUST MODULATES MACROPHAGE MORPHOLOGY AND FUNCTIONRuth J. Pender, Radiah C. Minor, Steven L. Hurley et al.Swine Confinement Facility (SCF) dust consists of a complex mixture of feed grain particles, bacterial components, organic particulates and gases. When these particles are inhaled they deposit along the respiratory tract and mediate respiratory symptoms and disease in swine farmers and facility workers. Macrophages ingest and eliminate microbes and debris under chronic conditions; however, the role of macrophages in agricultural-related … …American Journal of Immunology, Vol. 10, Issue 1 · 25 Mar 2014 · 7,609 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Web Usage Miner Using Decisive Induction RulesK. Poongothai, S. SathiyabamaProblem statement: Web usage mining is the technique of extracting useful information from server logs (user’s history) and finding out what users are looking for on the Internet. This type of web mining allows for the collection of Web access data for Web pages. Scope: The web usage data provides the paths leading to accessed Web pages with prefrences and … …Journal of Computer Science, Vol. 8, Issue 6 · 14 Mar 2012 · 6,907 accessesView PDFCite
Research ArticleOpen accessIn the abstractThai Speech Phonology for Development of Speech Synthesis: A ReviewSuphattharachai ChomphanProblem statement: To implementation of the Hidden Markov Model (HMM)-based Thai speech synthesis system, it is necessary to understand the phonology system for a language. Without the phonological information, the contextual factors of tree-based context clustering cannot be completed. Approach: The existing speech units in Thai are studied thoroughly so that the synthesis system can provide all of them in … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 27 Dec 2011 · 6,963 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,677 accessesView PDFCite