To assess the utility of dual-energy CT scanning (DECTs) with popliteal artery (PA) monitoring in dual low-dose (radiation and contrast) lower-extremity CT angiography (LE-CTA). 135 patients undergoing LE-CTA were prospectively included and divided i...
The automatic segmentation of water bodies from remote-sensing satellite images offers valuable insights into water resource management, flood monitoring, environmental changes, and urban development. However, extracting water bodies from satellite i...
The efficiency optimization methods for natural coagulants are often restricted due to non-scientific trial-and-error approaches. They are inaccurate in predicting the complex interactions of jet mixing parameters, coagulant dosage, and environmental...
As networks evolve in complexity, distributed Software-Defined Networking (SDN) architectures with multiple controllers are essential for scalability and resilience. In this research, we propose a unified framework, SecuNet-4D Detection, designed for...
The safety and efficacy of irreversible electroporation (IRE) in tumor therapy has been validated over many years by clinical application. An in-depth study, however, is required to assess the degree of ablation during the clinical dissemination of t...
An accurate energy consumption prediction becomes crucial with increasing electric vehicle usage for effective power grid management. This research examined the performance of eleven machine learning models for this purpose: Ridge Regression, Lasso R...
This study was conducted aiming to investigate impacts of experimentally induced endometritis on the vascular perfusion and echogenicity of the endometrium in dairy cows. Following estrus synchronization and applying cytological and bacteriological e...
The current study presents the synthesis and characterization of corn stalk fly ash (CSFA) based zeolites using a microwave-assisted hydrothermal technique for the removal of reactive blue 19 dye from wastewater. Fly ash derived from the corn stalk w...
Developing effective treatments for Alzheimer's disease (AD) likely requires a deep understanding of molecular mechanisms. Integration of transcriptomic datasets and developing innovative computational analyses may yield novel molecular targets with ...
The phyto-synthesis of ternary CuO/ MnO/ZnO nanocomposite was achieved by the utilization of an eco-friendly, straightforward approach that involved the extract of Nigella sativa seeds. Our ternary nanocomposite appears to include equal amounts of Cu...
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