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  • Open Access

    ARTICLE

    Feature Selection for Cluster Analysis in Spectroscopy

    Simon Crase1,2, Benjamin Hall2, Suresh N. Thennadil3,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2435-2458, 2022, DOI:10.32604/cmc.2022.022414

    Abstract Cluster analysis in spectroscopy presents some unique challenges due to the specific data characteristics in spectroscopy, namely, high dimensionality and small sample size. In order to improve cluster analysis outcomes, feature selection can be used to remove redundant or irrelevant features and reduce the dimensionality. However, for cluster analysis, this must be done in an unsupervised manner without the benefit of data labels. This paper presents a novel feature selection approach for cluster analysis, utilizing clusterability metrics to remove features that least contribute to a dataset's tendency to cluster. Two versions are presented and evaluated: The Hopkins clusterability filter which… More >

  • Open Access

    ARTICLE

    Two-Mode Biomedical Sensor Build-up: Characterization of Optical Amplifier

    Usman Masud1,2,*, Fathe Jeribi3, Mohammed Alhameed3, Faraz Akram4, Ali Tahir3, Mohammad Yousaf Naudhani5

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5487-5489, 2022, DOI:10.32604/cmc.2022.020417

    Abstract Intracavity absorption spectroscopy is a strikingly sensitive technique that has been integrated with a two-wavelength setup to develop a sensor for human breath. Various factors are considered in such a scenario, out of which Relative Intensity Noise (RIN) has been exploited as an important parameter to characterize and calibrate the said setup. During the performance of an electrical based assessment arrangement which has been developed in the laboratory as an alternative to the expensive Agilent setup, the optical amplifier plays a pivotal role in its development and operation, along with other components and their significance. Therefore, the investigation and technical… More >

  • Open Access

    ARTICLE

    Calcium chloride linked camel milk derived casein nanoparticles for the delivery of sorafenib in hepatocarcinoma cells

    AASTHA MITTAL1, NEELAM MAHALA1, KOWTHAVARAPU VENKATA KRISHNA2, UMA S. DUBEY1,*, SUNIL KUMAR DUBEY2,3,*

    BIOCELL, Vol.46, No.1, pp. 127-136, 2022, DOI:10.32604/biocell.2021.015932

    Abstract Sorafenib, a multikinase inhibitor used for the treatment of hepatocellular carcinoma, is limited by its low oral bioavailability. To overcome this drawback, we have developed novel camel milk casein-derived nanoparticles as a drug delivery system. Camel milk casein is not only biocompatible on oral administration but is actually a dietary protein of pharmaceutical relevance. Casein is used because of its amphiphilic nature, self-assembling property, ability to show sustained release, and capability of encapsulating both hydrophilic and hydrophobic drugs. In this study, camel milk casein nanoparticles loaded with sorafenib were developed and characterized. Characterization of casein nanoparticles was done by dynamic… More >

  • Open Access

    ARTICLE

    Cluster Analysis for IR and NIR Spectroscopy: Current Practices to Future Perspectives

    Simon Crase1,2, Benjamin Hall2, Suresh N. Thennadil3,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1945-1965, 2021, DOI:10.32604/cmc.2021.018517

    Abstract Supervised machine learning techniques have become well established in the study of spectroscopy data. However, the unsupervised learning technique of cluster analysis hasn’t reached the same level maturity in chemometric analysis. This paper surveys recent studies which apply cluster analysis to NIR and IR spectroscopy data. In addition, we summarize the current practices in cluster analysis of spectroscopy and contrast these with cluster analysis literature from the machine learning and pattern recognition domain. This includes practices in data pre-processing, feature extraction, clustering distance metrics, clustering algorithms and validation techniques. Special consideration is given to the specific characteristics of IR and… More >

  • Open Access

    REVIEW

    Carotenoids: New Applications of “Old” Pigments

    Stefan M. Kolašinac1, Zora P. Dajić Stevanović1,*, Sofija N. Kilibarda1,  Aleksandar Ž. Kostić2,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1041-1062, 2021, DOI:10.32604/phyton.2021.015996

    Abstract Carotenoids represent a large group of mainly red, orange, and yellow natural metabolites mainly involved in regulation of many metabolic processes. Carotenoids are beneficial for human health. Current study describes the importance, chemical composition and functioning of carotenoids. It is well known that carotenoids support pigments acting in light absorbance mechanisms during photosynthesis, and are known to protect the chlorophyll molecules from oxidative stress and reactive oxygen species (ROS) damage. Carotenoids are involved in signaling processes in plants, responses to environmental stresses, pollination, germination and reproduction, and development regulation. As nutrients of strong antioxidant activity that is primarily linked to… More >

  • Open Access

    ARTICLE

    Industrial Food Quality Analysis Using New k-Nearest-Neighbour methods

    Omar Fetitah1, Ibrahim M. Almanjahie2,3, Mohammed Kadi Attouch1,*, Salah Khardani4

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2681-2694, 2021, DOI:10.32604/cmc.2021.015469

    Abstract The problem of predicting continuous scalar outcomes from functional predictors has received high levels of interest in recent years in many fields, especially in the food industry. The k-nearest neighbor (k-NN) method of Near-Infrared Reflectance (NIR) analysis is practical, relatively easy to implement, and becoming one of the most popular methods for conducting food quality based on NIR data. The k-NN is often named k nearest neighbor classifier when it is used for classifying categorical variables, while it is called k-nearest neighbor regression when it is applied for predicting noncategorical variables. The objective of this paper is to use the… More >

  • Open Access

    ARTICLE

    Two-Dimensional Reconstruction of Heat Transfer in a Flat Flame Furnace through Computer-Based Tomography and Tunable-Diode-Laser Absorption Spectroscopy

    Xiaoyong Wang*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 857-869, 2020, DOI:10.32604/fdmp.2020.09565

    Abstract To explore the inherent characteristics of combustion-induced heat transfer in a flat flame furnace, a sophisticated hybrid method is introduced by combining a computer-based tomography (CT)-algebraic iterative algorithm and Tunable Diode Laser Absorption Spectroscopy (TDLAS). This technique is used to analyze the distribution of vapor concentration and furnace temperature. It is shown that by using this strategy a variety of details can be obtained, which would otherwise be out of reach. More >

  • Open Access

    ARTICLE

    Combined molecular docking, homology modeling and DFT method for the modification of bovine serum albumin (BSA) to improve fluorescence spectroscopy for phthalate acid esters chelated with BSA

    MINGHAO LI1, YOULI QIU2, WENHUI ZHANG1, RUIHAO SUN1, MEIJIN DU1, LUZE YANG3, YU LI1,*

    BIOCELL, Vol.44, No.2, pp. 247-255, 2020, DOI:10.32604/biocell.2020.08835

    Abstract While phthalate acid esters (PAEs) cannot fluoresce alone, they can be detected by fluorescence spectroscopy after chelation with bovine serum albumin (BSA). In this study, the types of amino acid residues at the active site of PAEs chelated with BSA were determined using molecular docking technology. A modification scheme of BSA with higher detection sensitivity fluorescence spectroscopy for PAEs was proposed based on the docking results and constructed for a novel BSA structure with a higher detection sensitivity of fluorescence spectroscopy using a homologous modeling method. Density functional theory (DFT) was employed to explore the influence before and after BSA… More >

  • Open Access

    ARTICLE

    Cerebral tissue oxygenation index and lactate at 24 hours postoperative predict survival and neurodevelopmental outcome after neonatal cardiac surgery

    Safwat A. Aly1, David Zurakowski2, Penny Glass3, Kami Skurow-Todd4, Richard A. Jonas5, Mary T. Donofrio4

    Congenital Heart Disease, Vol.12, No.2, pp. 188-195, 2017, DOI:10.1111/chd.12426

    Abstract Importance: There are no well-established noninvasive biomarkers for identifying patients at risk for poor outcome after surgery for congenital heart disease. Few studies have assessed prognostic accuracy of cerebral tissue oxygenation index (cTOI) measured by near infrared spectroscopy (NIRS).
    Objective: To assess the utility of noninvasive NIRS monitoring as a predictor of outcomes after neonatal cardiac surgery through measurement of cTOI. To examine the utility of noninvasive NIRS monitoring in combination with lactate concentration and inotropic score in prediction of outcomes after neonatal cardiac surgery.
    Design: Prospective longitudinal cohort study.
    Setting: Operating room and cardiac intensive care unit, Children’s National… More >

  • Open Access

    ARTICLE

    Application of the Principles of “Green Chemistry” for the Synthesis of 10-Undecylenic Aliphatic Esters with Antimicrobial Activity

    Dragomir Vassilev1,*, Nadezhda Petkova2, Yulian Tumbarski3, Milena Koleva1, Panteley Denev2

    Journal of Renewable Materials, Vol.8, No.6, pp. 675-686, 2020, DOI:10.32604/jrm.2020.09279

    Abstract Undenicylic acid (10:1) is known as an antifungal agent and an active ingredient of many topical medicines [1–6]. The present research investigates the preparation of aliphatic esters of 10-undecylic acid with butanol and i-amyl alcohol by the conventional and ultrasound-assisted syntheses as well as the structural elucidation of the resulting compounds, by FTIR and NMR spectroscopy. The antimicrobial properties of the obtained 10-undecylenic esters were tested against Gram-positive bacteria (Staphylococcus aureus; Enterococcus faecalis; Listeria monocytogenes), Gram-negative bacteria (Escherichia coli; Salmonella sp.) and filamentous fungi (Penicillium sp.; Aspergillus niger; Fusarium moniliforme) using the conventional agar-well diffusion assay. The results demonstrated that… More >

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