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143 articles for “support measure”
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Research ArticleOpen accessIn the abstractPressure Ulcer Prevention: Optimizing a Temporally Redistributing Support InterfaceJoshua M. Peterson, Colleen P. Healey, G. Jacobus Visser et al.One of the most common complications from long-term wheelchair use or bed rest is pressure ulcers. Pressure ulcers have significant morbidity and are associated with high mortality. Prolonged sitting can cause high pressures in the skin and subcutaneous tissue which can lead to local ischemia and breakdown of skin. Rapid relief of pressure prevents ulcer formation. One prevention strategy is … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 22 Dec 2016 · 7,897 accessesView PDFCite
Research ArticleOpen accessIn the abstractBarriers to Research Utilization among Registered Nurses at Hamad Medical CorporationAbdulqadir J. Nashwan, Ahmad A. Abujaber, Dana B. MansourThis study aimed to determine the barriers to research utilization from HMC registered nurses' perspectives. This quantitative descriptive study used a newly developed 25-item questionnaire. The questions were categorized into three domains: Nurse-related, System-related and Research-related Barriers. The questionnaire was distributed electronically via e-mail service to all registered nurses in Hamad Medical Corporation (HMC) (N = 5000). About 901 responses … …International Journal of Research in Nursing, Vol. 7, Issue 2 · 1 Dec 2016 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMBINTORIAL TREE BASED FREQUENT PATTERN MININGN. Yamuna Devi, J. Devi ShreeFrequent pattern mining is a process of extracting frequently occurring itemset patterns from very large data storages. These frequent patterns are used to generate association rules which define the relationship among items. The strength of the relationship can be measured using two different units namely support value and confidence level. Any relationship that satisfies minimum threshold of support value is … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractDAILY CRUDE OIL PRICE FORECASTING MODEL USING ARIMA, GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTIC AND SUPPORT VECTOR MACHINESRana Abdullah Ahmed, Ani Bin ShabriCrude oil price forecasting is gaining increased interest globally. This interest is due mainly to the economic value attached to the product. For this reason, new forecasting methods are proposed in the literature. This paper proposes a novel technique for forecasting crude oil price based on Support Vector Machines (SVM). The study adopts the data on crude oil price of … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 11 Jan 2014 · 8,725 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 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoisture Content Prediction of Dried Longan Aril from Dielectric Constant Using Multilayer Perceptrons and Support Vector RegressionSanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee AuephanwiriyakulProblem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector Regression (SVR) were applied in this research to predict the moisture contents of dried longan arils from their dielectric constants. … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,666 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Convergence-Confinement Method: Roles and Limits in Modern Geomechanical Tunnel DesignPierpaolo OresteThe convergence-confinement method, based on the analysis of the stress and strain state that develops in the rock around a circular tunnel, has been presented in this study with the two analytical solutions that have been most frequently used in recent years. Problem statement: Thanks to the increased power of electronic processors and the spread of numerical methods, the role … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 10,151 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Environmental Decision Support System Based on a Multidimensional PrototypeGeorgakellos Dimitrios, Macris AristomenisThe present study utilizes the principles and data provided by the Environmental Priority Strategies (EPS) methodology in order to create a multidimensional prototype, which intends to assist the damage assessment process in this kind of projects. The EPS system, based on Life Cycle Assessment (LCA) methodology, is developed to help designers and product developers in finding which one of two … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractProduction of an Achillea millefolium (Yarrow) Toothpaste to Combat Gum and Tooth PainMunashe K. F. Chakamanga, Ashley Kumalo K, Dirk Hamadziripi MGum inflammation also known as gingivitis is primarily caused by the accumulation of dental plaque that forms on teeth. The inflammation triggers pain in the gums and surrounding tissues due to increased blood flow and immune activity aimed at combating the bacterial infection. Thus, this study was carried out to investigate the efficacy of Yarrow-based toothpaste in reducing gum inflammation. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 9 Oct 2026 · 420 accessesView PDFCite
Research ArticleOpen accessIn the abstractChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 651 accessesView PDFCite