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Research ArticleOpen accessIn the abstractAnalyzing Temperature-Dependent Thermal Properties of Biomaterials Using Machine Learning MethodsArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis research utilizes machine learning models ANN, Random Forest, and Decision Tree to predict material properties of Ti-based biomaterials, including Young’s modulus, density, thermal conductivity, and specific heat at various temperatures. Data was sourced using web scraping and Plot Digitizer, validated against literature, and analyzed in Excel. The ANN model achieved strong performance, with R² = 0.980874 for TiAl and … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 12 Sep 2025 · 4,634 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of the Anatomical, Morphological, and Phytochemical Properties of Conium maculatum L.Aigerim Abdygalieva, Meruyert Sakenovna Kurmanbayeva, Dina Karabalayeva et al.The aim of this study is to identify the characteristic anatomical and morphological features and analyze the phytochemical composition of Conium maculatum L. growing in the Almaty region, in order to assess the quality of the medicinal plant raw material. Detailed anatomical investigations were conducted, including microscopy of various plant organs (leaves, stems, and roots), as well as phytochemical analysis … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 23 Jun 2025 · 3,406 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image DenoisingN. Anilkumar, S. Radhakrishnan, Shaik Syed Basha et al.Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, transmission, and reconstruction operations, which can dramatically reduce image quality and hide critical diagnostic features. As a result, developing effective denoising algorithms that suppress noise while maintaining structural information remains a … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 529 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Crow Search Optimization Based Feature Selection With Optimal DNN for Big Data ClassificationC. Mahesh, J. Ruby Elizabeth, S. Gnana Selvan et al.Big data analytics has become popular due to its applicability in various real-time applications. To attain better performance, big data can be analyzed using the machine learning and deep learning models at recent times, various domains have started to deal with big dataset which involves numerous sets of features. Repetitive and unwanted features, which reduces the classification performance can be … …Journal of Computer Science, Vol. 22, Issue 6 · 30 Jun 2026 · 1,244 accessesView PDFCite
Literature ReviewOpen accessIn the abstractExtraction Performance of Essential Oils by Hydrodistillation Using Mathematical Models: A Systematic ReviewLenin Quiñones Huatangari, Frank Fernandez Rosillo, Eliana Milagros Cabrejos Barrios et al.Essential oils are complex mixtures of volatile organic compounds valued for their antimicrobial and antioxidant properties, with widespread applications in the food, pharmaceutical, and cosmetic industries. Among the various extraction techniques employed, hydrodistillation remains one of the most widely used methods. The extraction yield of essential oils by hydrodistillation is influenced by multiple factors, and quantifying these through mathematical modelling … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 25 Mar 2026 · 2,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Tool for Testing Agreement Level on Continuous DatasetsBasavarajaiah Mariyappa Doddagangavadi, B. Narasimha Murthy, Netra RajpurohitVarious analytical studies explored the new innovation for testing agreement level in medical and life sciences which can be simulated by Cohen ‘κ’ based on the practical applications. From the past medical literature, many authors suggested that, there is some disproportion research gaps that exists in the statistical methods for measuring the agreements between two or more observers from ‘Cohen … …Current Research in Biostatistics, Vol. 11, Issue 1 · 19 May 2021 · 11,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrating Stochastic Properties into Traffic Flow Modeling: A Stimulus-Response ApproachKonate N’Golo, Mark Kimathi, Emile DanhoHighway traffic congestion, characterized by its inherent instability, has been extensively studied using deterministic models, providing valuable insights. However, these models often overlook the stochastic nature of driver behavior, a key factor that significantly impacts traffic flow. Recognizing this, a car-following model with discretionary lane changes to analyze their effect on traffic dynamics was introduced. While the mathematical results were … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 19 Dec 2024 · 7,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Industrially Promising Keratinase Isolated from Aspergillus aureolatus Changes its Substrate Specificity after pH-Mediated AutolysisArina Mokhova, Anna ShestakovaMicrobial proteolytic enzymes are green catalysts with many potential applications. Keratinolytic enzymes (or keratinases) are crucial for efficient keratin degradation, making them essential in waste management, biomedicine, cosmetics, and various industrial applications. This study describes the production and characterization of a protease with keratinolytic activity from Aspergillus aureolatus. The protease was isolated from the culture fluid on the 5th day … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 1 · 14 Feb 2025 · 5,580 accessesView PDFCite
Review ArticleOpen accessIn the abstractDisinfection of Water using Supported Titanium Dioxide PhotocatalystsShamkumar Pandurang Deshmukh, Dattatray Krishna Dalavi, Yuvaraj Mohan HungeTiO2 based photocatalyst has potential material for disinfection of harmful pathogens as well as removal of organic compounds. The formation of reactive oxygen species is a key part for overall process but aggregation and band gap constraint explore a new dimension to use of support for propounding its physicochemical properties. Therefore, the modification of TiO2 using various support alters photocatalytic … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 28 Dec 2020 · 7,261 accessesView PDFCite
Research ArticleOpen accessIn the abstractPresents Some Aspects Related to the Atom and Atomic Electrons, Necessary in Understanding Chemical Bonds and NanotechnologiesFlorian Ion Tiberiu PetrescuThe paper presents briefly some aspects regarding the atom and its electrons, these being absolutely necessary for understanding the molecular bonds and future nanotechnologies. It is briefly presented how to determine the energies of the atomic electrons, their speeds of movement in the atomic orbit but also of rotation around a proper axis of the atomic electron, the kinetic energies … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 24 May 2020 · 7,241 accessesView PDFCite