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A Chip-Level BSOR-based linear GSIC multiuser Detector for Long-Code CDMA Systems
Published 2007Get full text
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Security Assessment of Low-Resource Edge Devices for IoT Systems
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Carcinogenic and neurotoxic risks of acrylamide and heavy metals from potato and corn chips consumed by the Lebanese population
Published 2015“…Potato-based chips and baked chips were found to contain 23% and 18% more acrylamide than corn-based chips and fried chips, respectively. …”
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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis
Published 2019“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”
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Memory synthesis for FPGA-Based reconfigurable computers
Published 2017“…With the advent of on-chip memories, a rich hierarchy of physical memories is now available on a Reconfigurable Computer (RC). …”
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Segmenting the Travel Market Based on the Tourists' Need for Novelty
Published 2014“…Using cluster, chi-square, and analysis of variance, the results indicated that travelers can be grouped into three segments based on novelty-seeking behavior. …”
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Segmenting meeting and event management organizations based on business performance
Published 2016“…Using data collected from 120 MEMOs in Australia, cluster analysis, chi-square, and Kruskal–Wallis were used to categorize and profile these organizations based on their performance levels. …”
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An Efficient Test Vector Compression Technique Based on Geometric Shapes
Published 2001“…One of the prime challenges of testing a system-on-a-chip (SOC) is to reduce the required test data size. …”
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
Published 2020“…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …”
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Population based treatment strategy of H pylori in Qatar: Through clinical and demographic insights
Published 2024“…Pylori directed therapies were documented and compared. Pearson’s Chi-square test, independent samples ttest or analysis of variance (ANOVA) was used as appropriate to compare various parameters between patients. …”
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Clinical and radiographic outcome of a bioceramic sealer compared to a resin-based sealer: a retrospective study
Published 2025“…Clinical outcome of the RCTs using both types of sealers were measured by percentages of success rates. Chi square statistical test was used to analyze data at 0.01 and level of significance via SPSS software. …”
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Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
Published 2021Get full text
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Alpelisib Therapy in 2 Patients With Congenital Hyperinsulinism
Published 2025“…This allowed for the tapering and discontinuation of other medications (diazoxide and octreotide) and facilitated a transition to bolus gastrostomy-tube/oral feeding. No significant adverse effects were reported. Alpelisib shows promise as both an adjunctive and primary therapy for CHI, improving glucose levels and reducing dependence on continuous feeding and other medications. …”
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
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Microfluidic Electrochemical Desalination Systems: A Review
Published 2025“…Solutions involve integrating multiple units on a single chip and developing stackable chip designs. Innovative designs, such as 3D microfluidic chips, have shown promise in enhancing scalability. …”
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A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …”