Introduction: This study aimed at evaluating the influence of rotational speed and number of uses on the cutting efficiency of 4 nickel-titanium coronal flaring instruments against 2 substrates, bovine dentin and acrylic blocks.
Methods: BioRaCe BR0, HyFlex CM1, ProFile OS#2, and ProTaper Sx were used in simulated lateral action against both substrates at 250 and 500 rpm up to 5 times, producing 5 notches in each block. Notch areas and lengths were measured under a stereomicroscope, and data were compared by using parametric tests (α = 0.05).
Results: Against both substrates, HyFlex CM1 and ProFile OS#2 were the most and the least cutting efficient instruments, respectively (P < .05). Against acrylic, area and length values at 500 rpm were significantly higher than those at 250 rpm for all brands. Against dentin, significant differences were detected between 250 and 500 rpm for HyFlex CM1 and ProTaper Sx (area) and for BioRace BR0, HyFlex CM1, and ProTaper Sx (length). Regarding cutting efficiency loss, area and length for notches 1 and 2 (first notches) and 4 and 5 (last notches) were similar against acrylic. Against dentin, length values for notches 1 and 2 were significantly higher than those for notches 4 and 5 in ProFile OS#2 and ProTaper Sx. A strong correlation was detected between the overall results obtained on acrylic and dentin for area and length (P < .0001), although further analysis showed that data against acrylic were a poor predictor of data against dentin after repeated use.
Conclusions: HyFlex CM1 was the most cutting efficient instrument in lateral action. An increase in rotational speed improved the cutting efficiency. Results against acrylic showed a high correlation to data against dentin, but acrylic may not be a proper substrate when the intention is to assess cutting efficiency loss with repeated use.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.joen.2013.08.016 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Application of indole-3-butyric acid (IBA) enhances agronomic, physiological and antioxidant traits of under saline conditions: a practical approach.
PeerJ
January 2025
Department of Field Crops, Aydin Adnan Menderes University, Aydin, Türkiye.
Background: Salinity stress is a significant challenge in agriculture, particularly in regions where soil salinity is increasing due to factors such as irrigation practices and climate change. This stress adversely affects plant growth, development, and yield, posing a threat to the cultivation of economically important plants like . This study aims to evaluate the effectiveness by proactively applying indole-3-butyric acid (IBA) to cuttings as a practical and efficient method for mitigating the adverse effects of salinity stress.
View Article and Find Full Text PDFWith the increasing availability of high-quality genome assemblies, pangenome graphs emerged as a new paradigm in the genomics field for identifying, encoding, and presenting genomic variation at both population and species levels. However, it remains challenging to truly dissect and interpret pangenome graphs via biologically informative visualization. To facilitate better exploration and understanding of pangenome graphs towards novel biological insights, here we present a web-based interactive Visualization and interpretation framework for linear-Reference-projected Pangenome Graphs (VRPG).
View Article and Find Full Text PDFCutting, Ablation, and Reorganisation for Efficient Function and Growth.
Heart Lung Circ
January 2025
Editor-in-Chief, Heart, Lung and Circulation, Sydney, NSW, Australia; Murdoch Children's Research Institute, Heart Research Group and Department of Paediatrics, University of Melbourne, Royal Children's Hospital Melbourne, Vic, Australia. Electronic address:
Advancing Alzheimer's Disease Modelling by Developing a Refined Biomimetic Brain Microenvironment for Facilitating High-Throughput Screening of Pharmacological Treatment Strategies.
Int J Mol Sci
December 2024
Department of Biochemistry, Faculty of Medicine, Level 17 Preclinical Building, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, Kuala Lumpur 56000, Malaysia.
Alzheimer's disease (AD) poses a significant worldwide health challenge, requiring novel approaches for improved models and treatment development. This comprehensive review emphasises the systematic development and improvement of a biomimetic brain environment to address the shortcomings of existing AD models and enhance the efficiency of screening potential drug treatments. We identify drawbacks in traditional models and emphasise the necessity for more physiologically accurate systems through an in-depth analysis of current literature.
View Article and Find Full Text PDFPorter 6: Protein Secondary Structure Prediction by Leveraging Pre-Trained Language Models (PLMs).
Int J Mol Sci
December 2024
School of Computer Science, University College Dublin (UCD), D04 V1W8 Dublin, Ireland.
Accurately predicting protein secondary structure (PSSP) is crucial for understanding protein function, which is foundational to advancements in drug development, disease treatment, and biotechnology. Researchers gain critical insights into protein folding and function within cells by predicting protein secondary structures. The advent of deep learning models, capable of processing complex sequence data and identifying meaningful patterns, offer substantial potential to enhance the accuracy and efficiency of protein structure predictions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!