The MPX5700AP Pressure Sensor Optimization for Blood Pressure Reading in The Design of Poltekad Electronic Detector Covid-19 (POLECTOR C-19) Using Oscillometer Method

- At the beginning of 2020 the world was shocked by the presence of a virus that attacks the respiratory tract, a virus known as Coronavirus Disease-2019 (Covid-19). Based on this problem, how does the system detect Covid-19 suspects based on blood pressure. In this study, researchers used a survey method which directly took data in the hospital. Therefore, the optimization of the MPX5700AP pressure sensor has been successfully made. At this time the researchers conducted a study that used the oscillometer method to measure blood pressure supported by Arduino Uno, which in waves will produce systolic and diastolic blood pressure. Blood pressure monitoring is made capable of measuring blood pressure in the range of 40-240 mmHg and this system has a systolic pressure error of 4.024 mmHg, while the diastolic pressure error is -0.408 mmHg.

A Data-Driven Approach to the Development and Understanding of Chiroptical Sensors for Alcohols with Remote γ-Stereocenters

Dynamic covalent chemistry-based sensors have recently emerged as powerful tools to rapidly determine the enantiomeric excess of organic small molecules. While a bevy of sensors have been developed, those for flexible molecules with stereocenters remote to the functional group that binds the chiroptical sensor remain scarce. In this study, we develop an iterative, data-driven workflow to design and analyze a chiroptical sensor capable of assessing challenging acyclic γ-stereogenic alcohols. Fol-lowing sensor optimization, the mechanism of sensing was probed with a combination of computational parameterization of the sensor molecules, statistical modeling, and high-level density functional theory (DFT) calculations. These were used to elucidate the mechanism of stereochemical recognition and revealed that competing attractive non-covalent interactions (NCIs) determine the overall performance of the sensor. It is anticipated that the data-driven workflows developed herein will be generally applicable to the development and understanding of dynamic covalent and supramolecular sensors.

Structure optimization of gold-sputtered side-polished U-shaped plastic optical fiber SPR sensor

Purpose This study aims to optimize the structure of gold-sputtered U-shaped plastic fiber sensors. Design/methodology/approach A group of U-shaped Au-sputtered plastic optical fiber sensing probes with polishing angles of 45°, 90° and 135° is prepared. Findings The experimental results show that the spectral response and sensitivity of the sensor at 45°polishing angle is twice that of the sensor at 90°. Research limitations/implications Due to the limitations of laboratory temperature and equipment, the overall effect has not reached the ideal, but the expected effect has been obvious. Experiments also optimize the sensor. Practical implications Optical fiber sensing has always been an indispensable part of various fields. Social implications Sensor optimization is of great help to the progress of technology and the development of science and technology. Originality/value The authors have no conflicts of interest to disclose.

Assessing sub-grid variability within satellite pixels using airborne mapping spectrometer measurements

Sub-grid variability (SGV) of atmospheric trace gases within satellite pixels is a key issue in satellite design, and interpretation and validation of retrieval products. However, characterizing this variability is challenging due to the lack of independent high-resolution measurements. Here we use tropospheric NO2 vertical column (VC) measurements from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument with a spatial resolution of about 250 m 250 m to quantify the normalized SGV (i.e., the standard deviation of the sub-grid GeoTASO values within the sampled satellite pixel divided by their mean of the sub-grid GeoTASO values within the sampled satellite pixel) for different satellite pixel sizes. We use the GeoTASO measurements over the Seoul Metropolitan Area (SMA) and Busan region of South Korea during the 2016 KORUS‐AQ field campaign, and over the Los Angeles Basin, USA during the 2017 SARP field campaign. We find that the normalized SGV of NO2 VC increases with increasing satellite pixel sizes (from ~10 % for 0.5 km × 0.5 km pixel size to ~35 % for 25 km × 25 km pixel size), and this relationship holds for the three study regions, which are also within the domains of upcoming geostationary satellite air quality missions. We also quantify the temporal variability of the retrieved NO2 VC within the same satellite pixels (represented by the difference of retrieved values at two different times of a day). For a given satellite pixel size, the temporal variability within the same satellite pixels increases with the sampling time difference over SMA. For a given small (e.g.,