PRESSURE MEASUREMENT OF INDUCED EXTERNAL ATMOSPHERE ON THE RUSSIAN SEGMENT OF THE INTERNATIONAL SPACE STATION IN EXPERIMENT «CONTROL»

The goals and objectives of space experiment Control to study parameters of the induced external atmosphere of the Russian Segment of the International Space Station are presented. The processing and analysis procedure for telemetry data obtained using scientific equipment Indicator - ISS is described. Numerical calculations were performed by direct statistical modeling of the flow around the pressure sensor by incoming flotation the Earth's outer atmosphere in the background measurement conditions, as well as in disturbed conditions with two vernier engines of the Zvezda module being operated. A correction function of the pressure sensor is obtained depending on the orientation, temperature factor and selected model of interaction of incident flow molecules with the internal and external device surfaces. The results of numerical modeling of the jet discharges of the the Zvezda vernier engine were compared with the data obtained in full-scale pressure measurements in experiment Control. Key words: pressure sensor, orbital station, induced external atmosphere, direct statistical modeling method.

Inter and Intra Rater Reliability of Different Measurement Techniques of Weight Bearing Ankle Dorsiflexion Range of Motion

Background: Measurement of range of motion is a crucial parameter in the physiotherapeutic evaluation and follow up. Ankle dorsiflexion is important for functional activities like running, jogging, waking, stair climbing. Restricted ankle dorsiflexion is seen in various lower limb injuries. Therefore, assessment of dorsiflexion is important to assess function. Goniometer, tape measure, mobile goniometer, inclinometer is used to measure ankle dorsiflexion range of motion in weight bearing and non-weight bearing positions. Weight bearing dorsiflexion has reported higher intra and inter-rater reliability as compared to non-weight bearing ankle dorsiflexion. All these measures may be taken by the same and by different therapists in the management of one patient. Therefore, it is necessary to determine if the measurements used are reliable both within and between the therapists. Material and Methods: 50 healthy subjects were recruited and their role was explained in the study. Written consent was taken from all the subjects. Weight bearing lunge was done in which the subject was asked to stand with the heel in contact with the ground and the great toe 10 cm away from the wall and the knee touching the wall. Inclinometer, standard goniometer, mobile goniometer and tape measure were administered to check for ankle dorsifexion range of motion. Results: ICC for inter rater reliability was almost perfect for tape measure and goniometer (0.968 and 0.837 respectively) and it was substantial for inclinometer and mobile goniometer (0.746 and 0.796 respectively). ICC for intra rater reliability was almost perfect for tape measure, inclinometer and goniometer (0.965,0.894 and 0.837 respectively) and it was substantial for mobile goniometer (0.802). Conclusion: The inter-rater reliability of tape measure, goniometer is almost perfect and for mobile goniometer, inclinometer is substantial. The intra rater reliability of tape measure, inclinometer, goniometer is almost perfect and mobile goniometer is substantial. KEY WORDS: Dorsiflexion, Mobile goniometer, Tape measure, Goniometer, Inclinometer, Reliability.

Calibration of Ultrasonic Flaw Detectors in accordance with ISO 22232-1:2020

This paper presents the procedure developed at SCL for the calibration of loop antennas for test frequencies from 9 kHz to 30 MHz in accordance with CISPR 16-1-6:2014+AMD1:2017. The background, measurement model and uncertainty components are introduced and discussed. The expanded measurement uncertainty is estimated as 1.2 dB.

Calibration of Loop Antennas in Accordance with CISPR 16-1-6:2014+AMD1:2017

This paper presents the procedure developed at SCL for the calibration of loop antennas for test frequencies from 9 kHz to 30 MHz in accordance with CISPR 16-1-6:2014+AMD1:2017. The background, measurement model and uncertainty components are introduced and discussed. The expanded measurement uncertainty is estimated as 1.2 dB.

Variation of HbA1c with Hemoglobin level: A comparative study betweenD10 Biorad (HpLC) and Nycocard (Immunochromatography) analyser.

Background Measurement of Glycosylated Hemoglobin (HbA1c) is an established procedure in evaluating long-term glycemic control in diabetic patients. It is an index of glycemic control which is not affected by diurnal glucose fluctuations. Methods A retrospective cross sectional study was performed in the Biochemistry department of Shree Birendra Hospital, Kathmandu, Nepal involving 100 known cases of type 2 diabetes mellitus. This study was designed to study the variation of HbA1c with hemoglobin levels. HbA1c was measured by Bio-Rad D10 (HPLC method) and Nycocard (Immunochromatography method). Linear regressive analysis with correlation coefficient was used to compare HbA1c with hemoglobin levels and a p-value < 0.05 is considered statistically significant. Results There was a strong correlation of HbA1c values with Hemoglobin levels in HPLC methods p = 0.001, r = 0.6, however no such correlation was seen in Nycocard method p = 0.6, r = 0.08. Conclusion Cation-exchange high performance liquid chromatography (HPLC) is the latest method introduced in our country Nepal. Therefore, interference caused by Hemoglobin variants needs to be evaluated by methods such as HPLC. In such situations, we may consider fructosamine, glycated serum albumin or self-monitoring of blood glucose as an adjunct to HbA1C measurements.

Historical reconstruction of background air pollution over France for 2000–2015

This paper describes a 16-year datasets of air pollution concentrations and air quality indicators over France. Using a kriging method that combines background measurements of air quality and modeling with the Chemistry Transport Model CHIMERE, hourly concentrations of NO2, O3, PM10 and PM2.5 are produced with a spatial resolution about 4 kilometers. Regulatory indicators (annual average, SOMO35, AOT40 etc…) are also calculated from these hourly data. NO2 and O3 datasets cover the period 2000–2015, as well as PM10 annual data. PM10 hourly concentrations are not available from 2000 to 2007 due to known artefact in PM10 measurements. PM2.5 data are only available from 2009 because of the lack of measurement stations before. The overall dataset has been evaluated over all the years through a cross-validation process against background measurement stations (rural, sub-urban and urban), to account for the data fusion between measurement and models in the method. Results are very good for PM10, PM2.5 and O3. It shows an overestimation of NO2 concentrations in rural area, while background NO2 values in urban areas are well represented. Maps of the main indicators are shown over years and trends are calculated. Finally, country exposure and trends of three main health related indicators: yearly averaged PM2.5 NO2 and SOMO35 are calculated. The DOI link for the dataset is http://doi.org/10.5281/zenodo.5043645 (Real et al., 2021). We hopethat the publication of this dataset in open access will facilitate further studies on the impacts of air pollution.