Non-Invasive Methods for Monitoring Individual Bioresponses in Relation to Health Management

Increases in invasive and non-invasive group A streptococcal diseases are currently being seen in the United Kingdom. National enhanced surveillance is being launched to examine the clinical presentations, risk factors, outcome and clustering patterns of cases to further inform public health management strategies.

Download Full-text

Smoking is associated with significantly increased green autofluorescence intensity and asymmetry of the skin and the fingernails of natural populations, population high-risk of developing stroke, and population of acute ischemic stroke

10.1101/2020.07.24.20161620 ◽

2020 ◽

Author(s):

Mingchao Zhang ◽

Yue Tao ◽

Danhong Wu ◽

Weihai Ying

Keyword(s):

Risk Factor ◽

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Natural Population ◽

Health Management ◽

Large Population ◽

Natural Populations ◽

Pathological Changes ◽

Non Invasive ◽

Rapid Monitoring

AbstractTobacco smoking is an important risk factor for numerous diseases. It is critically needed to search for the biomarkers of smoking for non-invasive and rapid monitoring of the pathological changes of smokers’ body. Our current study has indicated that green autofluorescence (AF) of the fingernails and certain locations of the skin is a novel biomarker for smoking: First, for the natural population at age between 20 - 50 years of old, both the green AF intensity and the AF asymmetry of the Index Fingernails and the skin of Dorsal Index Fingers of the smokers were remarkably higher than those of the non-smokers. Second, for the natural population, the population at risk of developing acute ischemic stroke (AIS) and the AIS population at age between 50 - 80 years of old, both the AF intensity and the AF asymmetry of the Index Fingernails and the skin of Dorsal Index Fingers of the smokers were also remarkably higher than those of the non-smokers. Third, ROC analyses using the green AF intensity of the Index Fingernails showed that the AUC values were 0.796 to 0.889 for differentiating the smokers and the non-smokers in these three populations. Collectively, our study has indicated that increased green AF intensity of the fingernails and certain locations of the skin is a novel biomarker for smoking. Based on this finding, pathological alterations of smokers’ body may be monitored non-invasively and efficiently, which could be highly valuable for the health management of the large population of tobacco smokers.

Download Full-text

Hydro-generators fault diagnosis with short-time-wavelet-entropy and variational auto-encoder

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1207/1/012009 ◽

2021 ◽

Vol 1207 (1) ◽

pp. 012009

Author(s):

Ryad Zemouri ◽

Simon Bernier ◽

Olivier Kokoko ◽

Arezki Merkhouf

Keyword(s):

Health Management ◽

Flux Measurement ◽

Discrete Wavelet ◽

Wavelet Entropy ◽

Non Invasive ◽

Latent Space ◽

Hydroelectric Plants ◽

Reduced Space ◽

Industrial Level ◽

Short Time

Abstract The prognosis and health management (PHM) of hydroelectric plants are full of difficulties caused by the complexity of the hydro-generators where each machine is different and almost unique. At industrial level, several tools are used to monitor the generator condition. Among these tools, the measurement of magnetic stray flux is one which is gaining interest. This measurement is generally based on an inductive sensor and mainly mounted near the stator. The main advantages of the magnetic stray flux are the non-invasive nature and the simplicity of its implementation. In this work, the discrete wavelet transform (DWT) is used to decompose the stray flux signal. Short-Time-Wavelet-Entropy (STWE) is then applied to extract the features from the sub-bands. Finally, a variational auto-encoder (VAE) is used in an unsupervised learning process to structure the STWE signatures of more than 400 stray flux measurement collected on real hydroelectric plants. The obtained results show that the VAE has well captured the features from the wavelet entropy (WE) signatures. An analysis of the resulting latent space shows a strong correlation between a given trajectory in the reduced space and an increase of the WE.

Download Full-text

X-ray microtomography

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100107058 ◽

1988 ◽

Vol 46 ◽

pp. 998-999

Author(s):

H.W. Deckman ◽

B.F. Flannery ◽

J.H. Dunsmuir ◽

K.D' Amico

Keyword(s):

Computed Tomography ◽

Internal Structure ◽

Imaging Technique ◽

Three Dimensional ◽

Tissue Structure ◽

Individual Element ◽

X Ray ◽

Non Invasive ◽

Panoramic Imaging ◽

Three Dimensional Images

We have developed a new X-ray microscope which produces complete three dimensional images of samples. The microscope operates by performing X-ray tomography with unprecedented resolution. Tomography is a non-invasive imaging technique that creates maps of the internal structure of samples from measurement of the attenuation of penetrating radiation. As conventionally practiced in medical Computed Tomography (CT), radiologists produce maps of bone and tissue structure in several planar sections that reveal features with 1mm resolution and 1% contrast. Microtomography extends the capability of CT in several ways. First, the resolution which approaches one micron, is one thousand times higher than that of the medical CT. Second, our approach acquires and analyses the data in a panoramic imaging format that directly produces three-dimensional maps in a series of contiguous stacked planes. Typical maps available today consist of three hundred planar sections each containing 512x512 pixels. Finally, and perhaps of most import scientifically, microtomography using a synchrotron X-ray source, allows us to generate maps of individual element.

Download Full-text