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A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications
Published 2024“…This study suggests executing such a testing within a framework that integrates a Geographic Information System (GIS) environment with an Agent-Based Modeling (ABM) simulation platform. …”
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Prognostic Models of Mortality Following First‐Ever Acute Ischemic Stroke: A Population‐Based Retrospective Cohort Study
Published 2025“…<h3>Background and Aims</h3><p dir="ltr">There is a lack of population‐based studies focusing on guideline‐based prognostic models for stroke. …”
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Impact of Combined Explicit Reflective Nature of Science and Inquiry-based Instruction on Middle and High School Students’ Conceptions of the Nature of Science
Published 2018“…The quantitative data was analyzed using SPSS, while the qualitative data was analyzed using thematic coding and peer debriefing. The combined explicit reflective and inquiry-based instruction have caused a major improvement in students’ views of the NOS aspects. …”
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Cells Derived from Diabetic Patients Selected from a Cohort Study Using a Visual Search Tool (VST) Are Used as Models for Metformin Resistance
Published 2023“…</p> <p>Results: At the first step, among the population of the Fasa PERSIAN cohort, 252 patients were selected using VST for HbA1c test, among them 62 patients were available and tested for HbA1c. …”
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Covid-19 Spread Simulation based on control measures in UAE
Published 2021“…In this thesis, a SEIR compartmental model is proposed and developed by python-based program in order to analyze the virus transmission between different model compartments. …”
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Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta
Published 2023“…<p dir="ltr">Owing to limited drug testing possibilities in pregnant population, the development of computational algorithms is crucial to predict the fate of drugs in the placental barrier; it could serve as an alternative to animal testing. …”
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images
Published 2024“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”
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Efficient Power Grid Management Using Sliced-Based Mechanism for Systematic Allocation of Solar Energy Resources: A Conceptual Framework
Published 2022“…The applicability of this model is validated by testing it on a real-time scenario like slice failure conditions, slice overflow conditions, a huge number of requests, and alternate slice allocation conditions. …”
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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
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Silver-based dressings for the prevention of surgical site infections: evidence from randomized trials
Published 2025“…</p><h3>Conclusions</h3><p dir="ltr">Silver-based dressings reduce the risk of SSIs significantly; however, further high-quality RCTs are needed to confirm their benefits across different surgical contexts and patient populations.…”
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Advanced Machine Learning and Deep Neural Network Models for Large-Scale Environmental Pollution Detection, Exposure Quantification, and Biomedical Impact Assessment Using Remote S...
Published 2025“…In addition, health risk models which are based on data are used to evaluate the relationship between respiratory health outcomes and the level of pollution exposure. …”
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COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar
Published 2021“…A mathematical model for wastewater-based epidemiology was developed and used to estimate the number of people in the population infected with COVID-19 from the N1 Ct values in the wastewater samples. …”
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Published 2021“…In MGWO, new optimization operators inspired by the TRIZ-inventive solution are coupled with the original GWO to increase the diversity of the population. To evaluate the performance of the proposed method, nine well-known microarray datasets are tested. …”
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Employing an immunoinformatics approach revealed potent multi-epitope based subunit vaccine for lymphocytic choriomeningitis virus
Published 2022“…Molecular docking, molecular dynamics simulation, and binding free energy estimation collectively support the stability and energetically favourable interaction of the modeled vaccine–TLR2/4 complexes. </p><h3>Conclusion </h3><p dir="ltr">The designed multi-epitope vaccine in the present study could serve as a potential vaccine candidate to protect against LMCV infection; however, the experimental validation and safety testing of the vaccine is warranted to validate the study’s outcomes.…”
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Gene Selection for Microarray Data Classification based on Grey Wolf Optimizer Enhanced with TRIZ-inspired Operators
Published 2021“…In MGWO, new optimization operators inspired by the TRIZ-inventive solution are coupled with the original GWO to increase the diversity of the population. To evaluate the performance of the proposed method, nine well-known microarray datasets are tested. …”
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Telemedicine in Practice: A Sociotechnical Analysis in the United Arab Emirates (UAE)
Published 2020“…The sample size was randomly drawn from the UAE population. The results were in the form of statistical outputs attained from a proven and well-known model and theory [Technology Acceptance Model (TAM) and Diffusion Of Innovations (DOI) Theory]. …”
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