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Native fluorescence spectra play important roles in cancer detection. It is widely acknowledged that the emission spectrum of a tissue is a superposition of spectra of various salient fluorophores. However, component quantification is essentially an ill-posed problem. To address this problem, the native fluorescence spectra of normal human very low (LNCap), moderately metastatic (DU-145), and advanced metastatic (PC-3) cell lines were studied by the selected wavelength of 300 nm to investigate the key fluorescent molecules such as tryptophan, collagen and NADH. The native fluorescence spectra of cancer cell lines at different risk levels were analyzed using various machine learning algorithms for feature detection and develop criteria to separate the three types of cells. Principal component analysis (PCA), nonnegative matrix factorization (NMF), and partial least squares fitting were used separately to reduce dimension, extract features and detect biomolecular alterations reflected in the spectra. The scores corresponding to the basis spectra were used for classification. A linear support vector machine (SVM) was used to classify the spectra of the cells with different metastatic ability. In detection of signals coming from tryptophan and NADH with observed data corrupted by noise and inference, a sufficient statistic can be obtained based on the basis spectra retrieved using nonnegative matrix factorization. This work shows changes of relative contents of tryptophan and NADH obtained from native fluorescence spectroscopy may present potential criteria for detecting cancer cell lines of different metastatic ability. © 2018 SPIE.
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Introduction: Like medicine, public health practitioners seek to understand causes of mortality, practices of humans and issues that can change population conditions, in order to preserve and care for life. The murder pandemic has been such in Jamaica that the World Bank sponsored a qualitative study on crime in urban areas in Jamaica in the late 1990s to provide a platform to guide policy intervention and programmes. As a result this study will fill the gap in the literature by providing the evidence to support that divorce and marriage are public health concerns from the perspective of murders. Objective: To evaluate the role of divorce and marital relationships on murders. Materials and methods: The data for this study are taken from various Jamaica Government Publications. The period for this work is from 1950 through 2013. Data were recorded, stored and retrieved using the Statistical Packages for the Social Sciences (SPSS) for Windows, Version 21.0. The level of significance that is used to determine statistical significance is less than 5% (0.05). Ordinary least square (OLS) regression analyses and curve estimations were used to determine models and best fitted models. Results: On average, annually, 523 Jamaicans are murdered (± 484), with there being 9,531 marriages (±22,747) and 904 divorces (±468). Logged marriage rate and divorce rate are factors of murder rate, with both independent factors accounting for 82.2% of the variability in the murder rate. Both factors are positively correlated with the murder rate, with the divorce rate accounting for most of the variance in the murder rate (R2 = 79.2%). Conclusion: Death can be extremely devasting to families, however, murder among married couples can severely disrupt the lives of both families along with any children from such relationship. © 2014, Chevron Publishing Corporation. All rights reserved.
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Resonance Raman spectroscopy is used for rapid detection of skin BCC cancer. The cross-validated classification accuracy is achieved to be as high as 98% using nonnegative matrix factorization along with support vector machine statistical method. © OSA 2017.
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We report the detection of a transiting super-Earth-sized planet (R = 1.39 ± 0.09 R⊕ ) in a 1.4-day orbit around L 168-9 (TOI-134), a bright M1V dwarf (V = 11, K = 7.1) located at 25.15 ± 0.02 pc. The host star was observed in the first sector of the Transiting Exoplanet Survey Satellite (TESS) mission. For confirmation and planet mass measurement purposes, this was followed up with ground-based photometry, seeing-limited and high-resolution imaging, and precise radial velocity (PRV) observations using the HARPS and Magellan/PFS spectrographs. By combining the TESS data and PRV observations, we find the mass of L 168-9 b to be 4.60 ± 0.56 M⊕ and thus the bulk density to be 1.74-0.33+0.44 times higher than that of the Earth. The orbital eccentricity is smaller than 0.21 (95% confidence). This planet is a level one candidate for the TESS mission's scientific objective of measuring the masses of 50 small planets, and it is one of the most observationally accessible terrestrial planets for future atmospheric characterization. © ESO 2020.
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