CNC PCB drilling machine using Novel Natural Approach to Euclidean TSP

PVDF sensor is a sensor that is often used to measure force, strain, vibration and heat. In this study, PVDF sensors with surface polarization are used to detect cutting forces on the machine. The PVDF sensor that has been polarized on the surface is placed in the chuck part of the engine. Measuring instrumen for testing and calibrating PVDF sensors is oscilloscope with increased loading and reduced axial and tangential directions. After the calibration process, the PVDF sensor was used to measure cutting force on drilling machine, and then the results were compared with the PCB piezotronics force sensor. The PVDF sensor output signal is measured and studied for its voltage using an oscilloscope, where the output signal is compared to the weight given to the PVDF sensor. From the results of these tests indicate that the maximum deviation in axial loading is 0.32V while the tangential loading is 0.31VKeywords. PVDF sensor, Surface polarization, Drilling machine, Cutting force

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Polycystic ovary syndrome and probiotics: a natural approach to an inflammatory disease

Current Women s Health Reviews ◽

10.2174/1573404816999200601162506 ◽

2020 ◽

Vol 16 ◽

Author(s):

Antonio Schiattarella ◽

Gaetano Riemma ◽

Marco La Verde ◽

Gianluigi Franci ◽

Annalisa Chianese ◽

...

Keyword(s):

Insulin Resistance ◽

Polycystic Ovary Syndrome ◽

Polycystic Ovary ◽

Critical Role ◽

Reproductive Age ◽

Ovary Syndrome ◽

Natural Approach ◽

New Treatment ◽

Gut Microbial Community ◽

New Evidence

: Polycystic ovary syndrome (PCOS) is a condition that affects about 15% of women of reproductive age and is correlated with infertility, insulin resistance, and obesity. The etiology of PCOS is multifactorial and genetic, endocrine, and metabolic causes were involved. New evidence suggests a link between microorganisms residing in the digestive tracts of humans and the development of PCOS. Moreover, an imbalance in the gut microbial community could be a possible factor for the onset of insulin resistance and obesity. Hyperandrogenism, a key feature of PCOS, could also play a critical role in shaping the microbiome community. Probiotics could modify the gut microbiota and serve as a potential treatment for PCOS. Here we disclose the association between PCOS and intestinal microbiota and the possible role of probiotics as a new treatment approach.

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An Intuitive Introduction to Fractional and Rough Volatilities

Mathematics ◽

10.3390/math9090994 ◽

2021 ◽

Vol 9 (9) ◽

pp. 994

Author(s):

Elisa Alòs ◽

Jorge A. León

Keyword(s):

Malliavin Calculus ◽

Numerical Experiments ◽

Implied Volatility ◽

Natural Approach ◽

Volatility Models ◽

Implied Volatility Surface ◽

Short Memory ◽

White Type ◽

Volatility Surface ◽

Theoretical Results

Here, we review some results of fractional volatility models, where the volatility is driven by fractional Brownian motion (fBm). In these models, the future average volatility is not a process adapted to the underlying filtration, and fBm is not a semimartingale in general. So, we cannot use the classical Itô’s calculus to explain how the memory properties of fBm allow us to describe some empirical findings of the implied volatility surface through Hull and White type formulas. Thus, Malliavin calculus provides a natural approach to deal with the implied volatility without assuming any particular structure of the volatility. The aim of this paper is to provides the basic tools of Malliavin calculus for the study of fractional volatility models. That is, we explain how the long and short memory of fBm improves the description of the implied volatility. In particular, we consider in detail a model that combines the long and short memory properties of fBm as an example of the approach introduced in this paper. The theoretical results are tested with numerical experiments.

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