A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications حسب Ameni Boumaiza (19160734)

"…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. …"

Prognostic Models of Mortality Following First‐Ever Acute Ischemic Stroke: A Population‐Based Retrospective Cohort Study حسب Mustapha Mohammed (5737328)

"…<h3>Background and Aims</h3><p dir="ltr">There is a lack of population‐based studies focusing on guideline‐based prognostic models for stroke. …"

Cells Derived from Diabetic Patients Selected from a Cohort Study Using a Visual Search Tool (VST) Are Used as Models for Metformin Resistance حسب Marjan Nouri-Keshtkar (15431001)

"…</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. …"

Covid-19 Spread Simulation based on control measures in UAE حسب Yaseen, Amer

"…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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Comment on: “Gout/hyperuricemia reduces the risk of Alzheimer's disease: A meta‐analysis based on latest evidence” حسب Zain Ali Nadeem (20487218)

Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta حسب Vaisali Chandrasekar (16904526)

"…<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. …"

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images حسب Hamada R. H. Al-Absi (16726299)

"…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. …"

Impact of Combined Explicit Reflective Nature of Science and Inquiry-based Instruction on Middle and High School Students’ Conceptions of the Nature of Science حسب ABDALLAH, LARA NABIL

"…, and (3) How do demographics variables of gender and school level influence middle and high school students’ conceptions of nature of science in the context of a combined reflective explicit NOS and inquiry-based instruction? The sample was representative of the whole population and consisted of 116 middle and high school students. …"
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Efficient Power Grid Management Using Sliced-Based Mechanism for Systematic Allocation of Solar Energy Resources: A Conceptual Framework حسب Habib Ullah Khan (15862361)

"…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. …"

Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning حسب Zeinab, Samira Jihad

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Silver-based dressings for the prevention of surgical site infections: evidence from randomized trials حسب S. Younes (22254238)

"…</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.…"

Advanced Machine Learning and Deep Neural Network Models for Large-Scale Environmental Pollution Detection, Exposure Quantification, and Biomedical Impact Assessment Using Remote S... حسب Abdullaev, Ravshan

"…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 حسب Jayaprakash Saththasivam (14151669)

"…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. …"

Employing an immunoinformatics approach revealed potent multi-epitope based subunit vaccine for lymphocytic choriomeningitis virus حسب Muhammad Waqas (535011)

"…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.…"

Telemedicine in Practice: A Sociotechnical Analysis in the United Arab Emirates (UAE) حسب Abdool, Shaikha

"…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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Personnel contributions to UN and non-UN peacekeeping missions A public goods approach حسب Gaibulloev, Khusrav

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Wild carrot pentane-based fractions suppress proliferation of human HaCaT keratinocytes and protect against chemically-induced skin cancer حسب Shebaby, Wassim N.

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CCSA: Cellular Crow Search Algorithm with topological neighborhood shapes for optimization حسب Abou Doush, Iyad

"…Thus controlling the amount of diversity during the algorithm search. Island-based, hierarchical-based, and cellular automata are the most popular structured population models utilized for evolutionary algorithms to improve their diversity and convergence. …"
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Explainable Supervised and Semi-Supervised Learning for Breast Cancer Risk Prediction from Questionnaires: A Study on BCSC and UAE Datasets حسب Alsarookh, Omar Ahmad

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Arabic Sentiment Analysis using Machine Learning حسب ATIYAH, SASI FUAD

"…The research also explains the issues of testing such well-trained models on an unseen dataset from different sources in the same domain and how it can be solved. …"
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