The validity of the nearest-neighbour (NN) model was verified in an RNA pseudoknot (PK) structure. The thermodynamic parameters of the second hairpin stem (S2) region, which separates the PK from a hairpin structure, were monitored using CD and UV melting. Different PKs with identical NN base pairs in the S2 region exhibited similar thermodynamic parameters, highlighting the validity of the NN model in this RNA tertiary structure motif.
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http://dx.doi.org/10.1039/d1cc07094k | DOI Listing |
Materials (Basel)
December 2024
Department of Mechanical Engineering Technology, College of Applied Industrial Technology, Jazan University, Jazan 45142, Saudi Arabia.
This paper estimates friction stir welded joints' ultimate tensile strength (UTS) and hardness using six supervised machine learning models (viz., linear regression, support vector regression, decision tree regression, random forest regression, K-nearest neighbour, and artificial neural network). Tool traverse speed, tool rotational speed, pin diameter, shoulder diameter, tool offset, and tool tilt are the six input parameters in the 200 datasets for training and testing the models.
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January 2025
Kongu Engineering College, Erode, Tamil Nadu, India.
Copra (dried coconut) is used for oil production and raw materials for its by-products. Traditionally, Coconuts are halved and sun-dried in the field. Fumigation using sulphur is employed in the industry to maintain its colour and prevent microbial growth from inhibiting it.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, India.
Biopsy is considered the gold standard for diagnosing brain tumors, but its invasive nature can pose risks to patients. Additionally, tissue analysis can be cumbersome and inconsistent among observers. This research aims to develop a cost-effective, non-invasive, MRI-based computer-aided diagnosis tool that can reliably, accurately and swiftly identify brain tumor grades.
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January 2025
Department of Computer Science, Kebri Dehar University, Kebri Dehar, Ethiopia.
Artificial Intelligence techniques are being used to analyse vast amounts of medical data and assist in the accurate and early diagnosis of diseases. The common brain related diseases are faced by most of the people which affects the structure and function of the brain. Artificial neural networks have been extensively used for disease prediction and diagnosis due to their ability to learn complex patterns and relationships from large datasets.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
Department of Manufacturing Processes and Production Engineering, Rzeszow University of Technology, Al. Powst. Warszawy 8, 35-959 Rzeszow, Poland.
Resistance spot-welded joints are crucial parts in contemporary manufacturing technology due to their ubiquitous use in the automobile industry. The necessity of improving manufacturing efficiency and quality at an affordable cost requires deep knowledge of the resistance spot welding (RSW) process and the development of artificial neural network (ANN)- and machine learning (ML)-based modelling techniques, apt for providing essential tools for design, planning, and incorporation in the welding process. Tensile shear force and nugget diameter are the most crucial outputs for evaluating the quality of a resistance spot-welded specimen.
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