A simple method to determine tramadol using a coated-wire electrode as a detector in the flow injection analysis

Al-Samarrai, Shatha Y.; Abdoon, Fadam M.; Hashim, Kadhim K.

doi:10.1016/j.microc.2019.01.041

Cited by 19 publications

(10 citation statements)

References 23 publications

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“…e University of California at Irvine (UCI) website was used to collect data for testing. ere are two diabetes datasets included in this study: one from the Pima Indian community in Arizona and the other from the United States [14]. ere is a description of the characteristics provided.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

Alazzam

Mansour

Alassery

et al. 2021

Computational Intelligence and Neuroscience

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Lifestyle influences morbidity and mortality rates in the world. Physical activity, a healthy weight, and a healthy diet are key preventative health behaviours that help reduce the risk of developing type 2 diabetes and its complications, such as cardiovascular disease. A healthy lifestyle has been shown to prevent or delay chronic diseases and their complications, but few people follow all recommended self-management behaviours. This work seeks to improve knowledge of factors affecting type 2 diabetes self-management and prevention through lifestyle changes. This paper describes the design, development, and testing of a diabetes self-management mobile app. The app tracked dietary consumption and health data. Bluetooth movement data from a pair of wearable insole devices are used to track carbohydrate intake, blood glucose, medication adherence, and physical activity. Two machine learning models were constructed to recognise sitting and standing. The SVM and decision tree models were 86% accurate for these tasks. The decision tree model is used in a real-time activity classification app. It is exciting to see more and more mobile health self-management apps being used to treat chronic diseases.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

Alazzam

Mansour

Alassery

et al. 2021

Computational Intelligence and Neuroscience

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“…It is clear that some roots are with positive real parts; therefore, the point O is unstable. erefore, (3) has selfexcited attractors (if the model possesses unstable equilibrium points, then it is called a system with self-excited attractors) [20,[29][30][31][32][33][34][35].…”

Section: Computational Intelligence and Neurosciencementioning

confidence: 99%

[Retracted] A Novel of New 7D Hyperchaotic System with Self‐Excited Attractors and Its Hybrid Synchronization

Al-Obeidi¹,

Al-Azzawi

Hamad

et al. 2021

Computational Intelligence and Neuroscience

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In this study, a novel 7D hyperchaotic model is constructed from the 6D Lorenz model via the nonlinear feedback control technique. The proposed model has an only unstable origin point. Thus, it is categorized as a model with self-excited attractors. And it has seven equations which include 19 terms, four of which are quadratic nonlinearities. Various important features of the novel model are analyzed, including equilibria points, stability, and Lyapunov exponents. The numerical simulation shows that the new class exhibits dynamical behaviors such as chaotic and hyperchaotic. This paper also presents the hybrid synchronization for a novel model via Lyapunov stability theory.

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“…To anticipate the thermal characteristics of polymer composites, several theoretical and experimental studies have been undertaken [8]. However, just a few researches have attempted to simulate polymer mixes.…”

Section: Introductionmentioning

confidence: 99%

Mechanics of Materials Natural Fibers Technology on Thermal Properties of Polymer

Alazzam

Hajjej

AlGhamdi

et al. 2022

Advances in Materials Science and Engineering

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The thermal characteristics of polymathic methacrylate combined with unsaturated polyester were determined by numerical and experimental research. Models for numerically investigating the parameters of thermal conductivity, specific heat capacity, and thermal diffusivity were developed using COMSOL Multiphysics. The numerical data were then compared to experimental results for the same material using the same measurements to ensure that they were correct. By comparing the thermal conductivity data to two sets of theoretical data, the results were confirmed. The COMSOL models were quite close to the experimental data, with just minor differences between the three models. One set of theoretical data coincided with the mean of the other data, while the second set revealed a significant departure below the other data.

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A simple method to determine tramadol using a coated-wire electrode as a detector in the flow injection analysis

Cited by 19 publications

References 23 publications

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App

[Retracted] A Novel of New 7D Hyperchaotic System with Self‐Excited Attractors and Its Hybrid Synchronization

Mechanics of Materials Natural Fibers Technology on Thermal Properties of Polymer

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