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43 results for “quantitative assessment”
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Case ReportOpen accessIn the abstractTraditional Fishermen in Rote Island: An Alternative Livelihood to Illegal Fishing Activities in the Indonesian-Australian Transboundary WatersFred Benu, Paul G. King, AgusNalle, Moni MuskananAt the moment there are about 210 Indonesian fishermen, many from Rote Island, the majority from the village of Papela, still detained in Australia Detention Centres for carrying on illegal fishing activities in the Australian Exclusive Economic Zone. These fishing activities are not driven by economic factors only, but also by their historical background. By understanding the economic, historical and … …American Journal of Agricultural and Biological Sciences, Vol. 13, Issue 1 · 27 Jul 2018 · 9,406 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
Research ArticleOpen accessIn the abstractChemotaxonomy of Indonesian Citrus maxima based on Leaf Essential OilsRatna Susandarini, Rugayah, Lauretius Hartanto Nugroho, Siti SubandiyahPummelo (Citrus maxima) is one of true citrus species originated from South East Asian regions. Pummelo is known as having high morphological diversity, but lacking of comprehensive publications documenting chemical diversity. The objectives of this study were to reveal essential oil diversity and its implication on the chemotaxonomy of the species. Leaves from forty individual plants were collected from seven … …OnLine Journal of Biological Sciences, Vol. 16, Issue 1 · 29 Dec 2015 · 8,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Economic System for Screening of Diabetic Retinopathy Using Fundus ImagesG.S. Annie Grace Vimala, S. Kaja MohideenDelayed length of time of the diabetes may influence the tiny blood vessels of the retina bringing about Diabetic Retinopathy (DR). It is one of the major root causes of the blindness across the globe. Routine eye screening of patients with diabetes serves to discover DR at the early stage. The conventional visual assessment protocol is time consuming and laborious. … …OnLine Journal of Biological Sciences, Vol. 14, Issue 4 · 5 Jan 2015 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrace Elements Distribution in the Brain of Stressed RatsZerrouk Kamal, Mohamed Najimi, Mohammed Chigr et al.Because of their ability to modulate the Gamma Aminobutyric Acid (GABA) a receptor complex, the principal aim of the current work is to assess two essential heavy metals: Iron (Fe) and zinc (Zn) by atomic absorption in different brain areas of stressed rats. To do so, we investigated the effect of acute immobilization stress (single 1-hour session) on the distribution … …Neuroscience International, Vol. 3, Issue 2 · 14 Sep 2012 · 7,277 accessesView PDFCite
Research ArticleOpen accessIn the abstract2-Nonenal-Ovulatory Specific Volatiles in Human Saliva throughout Menstrual Cycle by Gas Chromatography and Mass Spectrometry AnalysisS. Alagendran, G. Archunan, K. Rameshkumar et al.Problem statement: The present investigation carry out a pilot study of a novel method to identify the salivary volatiles in different phases of menstrual cycle for the assessment of ovulation detection using gas chromatography and mass spectrophotometer. Approach: The profiles from follicular phase (6-12 days); ovulatory phase (13-14 days) and luteal phase (15-26 days) of menstrual cycle samples were compared … …American Journal of Biochemistry and Biotechnology, Vol. 6, Issue 3 · 30 Sep 2010 · 8,365 accessesView PDFCite
Research ArticleOpen accessIn the abstractReliability of Axially Loaded Fiber-Reinforced-Polymer Confined Reinforced Concrete Circular ColumnsVenkatarman Nagaradjane, Pulipaka Narasimharao Raghunath, Kannan SugunaMonte-Carlo simulation based procedure was applied for assessing the reliability of Fiber Reinforced Polymer (FRP) confined reinforced concrete columns. Assessment of reliability provides a quantitative measure of effectiveness of repair. Problem Statement: The procedure presented in the paper could be used for assessing the reliability of reinforced concrete columns before and after the application of FRP wrap, thus helping to … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Jan 2009 · 7,974 accessesView PDFCite
Research ArticleOpen accessIn the abstractQualitative Assessments of the Software Architectures of Configuration Management SystemsAbhay Kothari, A. K. Ramani, P. K. ChandeThe Configuration Management (CM) is a very important area of concentration in software development and maintenance processes. Quality parameters for Configuration Management Tools’ architectural designs require rigorous identification and measurement. Two methods for quantitative assessment of quality parameters of the software architectures are proposed. These methods are based upon modularization properties, like, cohesion type, coupling type, module complexity, module size … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 6,812 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,462 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite