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141
Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015)
Published 2016“…In this study, we aim to establish a ruthenium-based model for effectively targeting AML, with the goal of later developing approaches to selectively target AML with complexes based on this model. …”
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masterThesis -
142
Eco-friendly paper-based colorimetric sensor for portable and rapid detection of lead (II) ions in aqueous environment
Published 2025“…The sensor's stability was verified across a temperature range of 25–90 °C. Finally, a paper-based chemo sensor was fabricated to demonstrate the sensor's real-time applicability, where visual color changes confirmed lead (II) detection in water. …”
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143
Impact of aluminium acetate particles size on the gelation kinetics of polyacrylamide‐based gels: Rheological and molecular simulation study
Published 2023“…<p></p><div> <p>Inorganically crosslinked polymers have been intensively implemented for conformance control treatments in oil and gas wells at low temperatures (<90°C) because of their faster gelation time compared to organically crosslinked gels. Crosslinkers such as chromium acetate are known to be toxic, and aluminium-based alternatives have been introduced. …”
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144
Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection
Published 2025“…Our approach significantly outperformed state-of-the-art methods in terms of classification accuracy. …”
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145
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146
Efficient mechanochemical synthesis of new fluorinated Schiff bases: a solvent-free, alternative to conventional method with mercury adsorption properties
Published 2025“…However, ball milling considerably shortened reaction time, with some reactions taking less than 5 min, and enhanced yields, reaching up to 92%, which is significantly higher than that achieved by conventional methods. …”
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147
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148
RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments
Published 2024“…However, the system’s dynamic nature, especially real-time fluctuations in device and jammer distribution and UAV resources, complicates UAV and RIS management. …”
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149
Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System
Published 2023“…Therefore, the use of low-cost photovoltaic (PV) panels in water pumping systems, without chemical energy storage, based on high-performance and more efficient power converters with increased time life and lower maintenance interventions is needed. …”
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150
Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems
Published 2022“…Next, in order to more improve the diagnosis abilities, two interval kernel PCA (IKPCA)-based EL classifiers are developed. The IKPCA-EL techniques are addressed so that the features extraction and selection phases are performed using the IKPCA models and the sensitive and significant interval-valued characteristics are transmitted to the EL model for classification purposes. …”
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151
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152
Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
Published 2024“…Transferring these dirty pages during pre-copy migration prolongs the overall migration time. If there are large numbers of remaining memory pages after a predefined iteration of page transfer, the stop-and-copy phase is initiated, which significantly increases downtime and negatively impacts service availability. …”
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153
Effectiveness of Concept Mapping: A Constructivist based Educational Strategy on Grade Seven Arab Students' Academic Achievement in Chemistry
Published 2016“…The present study aimed to determine the effects of concept mapping, a constructivist based learning strategy, on academic achievement in chemistry. …”
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154
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155
Impact of global macroeconomic factors on spillovers among Australian sector markets: fresh findings from a wavelet-based analysis
Published 2023“…Using data from May 14, 2007 to March 31, 2022, this study applies the time-varying parameter vector autoregressive model to study their static and dynamic connectedness, wavelet coherence analysis to investigate the time-frequency co-movement of global macroeconomic factors with Australian sector stock indices and wavelet decomposition-based Granger causality. …”
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156
Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection
Published 2023“…This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…”
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157
The impact of nozzle diameter and printing speed on geopolymer-based 3D-Printed concrete structures: Numerical modeling and experimental validation
Published 2024“…<p dir="ltr">3D Concrete Printing (3DCP) is a promising technology with significant advantages for the construction industry, encompassing reduced labor costs, diminished carbon dioxide emissions, enhanced time efficiency, improved user convenience, and design flexibility. …”
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158
Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement
Published 2025“…The system is designed to efficiently deliver solar energy to both the load and the grid while significantly improving power quality (PQ). It employs a hybrid pelican and perturbs and observe and particle swarm optimization (PSO) based maximum power point tracking (MPPT) algorithm to consistently extract peak power from the PV array. …”
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159
Trends in Necrotizing Fasciitis‐Associated Mortality in the United States 2003–2020: A CDC WONDER Database Population‐Based Study
Published 2025“…</p><h3>Conclusions</h3><p dir="ltr">NF‐related mortality has significantly risen in the United States since 2014, with distinct disparities based on sex, race, and geographic region. …”
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160
Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides
Published 2015“…The aim of this study was to computationally identify potential maize subnetwork modules associated with its defense response against F. verticillioides. We obtained time-course RNA-seq data from B73 maize inoculated with wild type F. verticillioides and a loss-of-virulence mutant, and subsequently established a computational pipeline for network-based comparative analysis. …”