Research of diagnostic models of subsystems of power supply of radioelectronic means

The complex indicator of the reliability of electronic means - the readiness factor - significantly depends on the average recovery time. At the same time, the largest labor costs are spent by repair specialists on finding a faulty element. Diagnostic repair support depends on the models used in the development of defect detection algorithms. The most common use of diagnostic models in the form of a graph of information and energy connections, which consists of three types of structures: sequential connection of elements, converging and diverging. The latter did not receive the necessary research. In the article as a result of research of influence of forms of the graph of information and power communications on indicators of quality of diagnostic maintenance of subsystems of power supply of radio electronic means analytical dependences of quantitative estimation of the controlled variables on average recovery time are received for the first time. This allows to improve the quality of diagnostic support of existing and promising samples during their design. Minimization of diagnostic errors makes it possible to verify the feasibility of using diagnostic and metrological support during the current repair of electronic devices by the aggregate method, which reduces the recovery time, especially in the field. Depending on the volume of initial data, possible methods for quantifying the probability of the preferred choice of branches of power subsystems of radio electronic means, which also reduces the average recovery time by checking primarily the least reliable and do not require much time to perform checks and troubleshooting. The obtained results should be used in improving the diagnostic and metrological support of power supply subsystems of existing electronic devices and its development for promising samples in order to improve the quality of maintenance, regardless of the structure of choice.

Predictors for time to recovery from sever acute malnutrition among under-five children admitted to therapeutic feeding unit at Dubti referral hospital, Afar region, Ethiopia

Background Currently, about 165 million children are categorized under malnutrition and 51.5 million suffering from acute malnutrition in world wide. Hence, the objective of current study was to assess the recovery time and its predictors of children under five from severe acute malnutrition admitted to Therapeutic Feeding Unit at Dubti Referral Hospital, Afar region, Eastern Ethiopia. Methods Institutional based retrospective cohort study was conducted on 650 inpatient children with SAM admitted for therapeutic feeding unit whose treatment was from March to April/2017. Results The result in current investigation indicates that the average recovery time from SAM was found to be 21 days (95% CI; 21.23–25.77), p-value = 0.035). A Cox proportional hazard regression model revealed that Weight of a child at birth, gestational age of a child, working status of a child at admission birth order of a child, mother’s BMI, mother’s level of education, mother’s stature, mother’s occupation, mother’s age, mother’s marital status, mother’s nutritional status, house hold income in ETB, family size in HH, number of under-five children, the type of toilet used in HH, source of improved drinking water, type of cooking fuel, ownership of livestock, age and weight of a child at admission had statistically significant association with the variation of average recovery time of children from SAM. Conclusion Male children under severe acute malnutrition, rural children, children with different additional diseases and children who did not get mothers’ breast milk at least in the first six months after birth and children who did not get vaccination are groups at risk and needs intervention and special attention to be recovered with short period of time. Children from low income family, who did not get improved drinking water, without moderate cooking fuel and a child from larger families were groups at risk in recovery time from SAM.

Data-driven prognosis for COVID-19 patients based on symptoms and age

In this article, we develop an algorithm and a computational code to extract, analyze and compress the relevant information from the publicly available database of Canadian COVID-19 patients. We digitize the symptoms, that is, we assign a label/code as an integer variable for all possible combinations of various symptoms. We introduce a digital code for individual patient and divide all patients into a myriad of groups based on symptoms and age. In addition, we develop an electronic application (app) that allows for a rapid digital prognosis of COVID-19 patients, and provides individual patient prognosis on chance of recovery, average recovery period, etc. using the information, extracted from the database. This tool is aimed to assist health specialists in their decision regarding COVID-19 patients, based on symptoms and age of the patient. This novel approach can be used to develop similar applications for other diseases.

Validation UV Spectrophotometric Method to Determine Entrapment Efficiency of Ocular Polymeric Nanoparticle Levofloxacin Hemihydrate

Simple, easy, and economical UV spectrophotometric methods have been developed using simulated tear fluid (STF) solvent to determine levofloxacin hemihydrate (LEVH) levels in ocular nanoparticles, as indicated by the % entrapment efficiency. A maximum wavelength of levofloxacin at 288nm, with a 4.0-12.0µg/mL concentration, shows linear results with a correlation coefficient (r) of 0.9997 and an average % recovery of 99.920 –100.804%. The developed method is able to use for the analysis of levofloxacin hemihydrate in nanoparticle preparations.

Estimation of thiamine hydrochloride and sulphite using charge transfer complex reaction

A new spectrophotometric method is used for estimating Thiamine hydrochloride in its pure form and pharmaceutical formulations, the present method depends on the reaction between Thiamine hydrochloride and chrome azurol S to form a red complex which exhibit maximum absorption at 510 nm, the addition of Sulphite to the resulted red complex is bleaching it and this step was used for the determination of Sulphite which is considered an attacker of Thiamine hydrochloride, therefore, this method was developed for determination of Thiamine hydrochloride in presence of Sulphite. The linearity of the proposed method was obeyed Beer’s law from 2 to 48 and 0.04 to 2.4 ppm for Thiamine hydrochloride and Sulphite respectively. Also, the method sensitivity was measured by molar absorptivity values 5.9×104 l.mol-1.cm-1 and 1.68×104 l.mol-1.cm-1 for Thiamine hydrochloride and Sulphite respectively. The present method accuracy (average recovery) 100.06% and 100.04% the precision (RSD) of the method is ±0.98 - ±1.27% and ±0.76 - ±1.47 of Thiamine hydrochloride and Sulphite respectively. This method was applied for the estimation of B1 and SO32- in pharmaceutical preparations and various water samples respectively.

Neurological sequelae of COVID-19: a review

Background The COVID-19 pandemic has produced a myriad of challenges, including identifying and treating neurological sequelae. Main body COVID-19 can cause olfactory and respiratory dysfunction with average recovery within 1 month and a minority of patients experiencing symptoms at 8-month follow-up. Headaches are also very common (up to 93%) amongst patients with persistent COVID-19 symptoms. COVID-19 illness may also affect cognition, although results are mixed. Conclusion While many studies have focused on acute COVID-19 symptoms, more longitudinal studies will need to assess the neurological sequelae of the disease. Furthermore, care must be taken when attributing sequelae to COVID-19 illness and not an unrelated cause. Finally, there is concern that COVID-19 may be associated with secondary illnesses, such as Guillain–Barre, and may even contribute to the development of diseases, such as Alzheimer’s.

Validation of an improved European standard method for the determination of PCBs in oil samples

Two European standard methods (EN 12766 and EN 61619) are currently used for the determination of PCBs in specific oil matrix. However, apolar matrix compounds (e.g. hydrocarbons) elute from the adsorbent together with the PCBs and are injected into the analytical system where their presence contaminates the inlet, detectors and columns; and decreases system performances. Insufficient cleanup causes delay of elution of PCBs from GC columns. By using new sulfoxide-bonded silica, PCBs are better separated from aliphatic hydrocarbons because the specificity of the stationary phase for these compounds is much higher that that used in both standard methods. A gas chromatograph AT6890 with two capillary columns of different polarities (HP-5MS and DB-1701) coupled to two μECDs is used. Oven temperature program is as followed: 90°C (1 min), 70°C/min to 180°C, 5°C/min to 230°C (0.1 min), 1.5°C/min to 280°C. Run time is 46 min. The procedure was validated through regular analysis of blanks, fortified samples (transformer oil, motor used and unused oil) and certified materials (BCR-449 and BCR-420, waste mineral oils, high and low PCB levels). Two internal standards were used (PCB 30 and PCB 209). An average recovery ± RSD of 82.8 ± 5.4 % was achieved for all six PCBs in different matrices. The LOQ per single PCB congener is 0.2 mg kg-1. The average recovery ± RSD for the BCR-420 is 92.0 ± 4.6 % and for the BCR-449 is 105 ± 2.5 % for all certified PCBs in waste oils.

Determination of recovery efficiency of ¹³⁷Cs in seawaterusing co-precipitation method

Recovery efficiency of 137Cs in seawater samples with different volumes of 40, 50, 60, 80 and 100 liters using co-precipitation method by ferrocyanide compounds has been determined. 134Cs nuclide was used as a tracer to determine recovery efficiency. The results showed that the recovery efficiency of 134Cs ranged from 92.62% to 99.26% with mean value of (95.22 ± 2.61)% for different sample volumes. Average recovery efficiency for samples with a volume of 50 liters was (95.70 ± 2.50)% and uncertainty when determining 137Cs in seawater samples were still less than 20%. Therefore, reducing the volume of sample to 50 liters still ensures reliability when determining 137Cs in seawater samples by co-precipitation method, thereby reducing the chemical and time when analyze a large number of samples.

Chemical Sensor for Detection of Lead Levels in Herbal Medicine

A new tube type Pb2+ sensor made from two types of mixtures, namely clay-PbI2 and chitosan-PbI2 were prepared. An electromotive force (EMF) with Ag/AgCl as the reference electrode was used as the output signal. The highest performance of the Pb2+ sensor from clay-PbI2 was obtained at Pb2+ solutions in HNO3 and pH 3 with sensor sensitivity of 20.67 mV/decade. The highest performance of the Pb2+ sensor from chitosan-PbI2 was obtained at Pb2+ solutions in demineralized water with sensor sensitivity of 32.49 mV / decade. Application of the two sensors on several commercial herbal samples resulted in an average recovery of 85.62% and 94.10% for sensor from chitosan-PbI2 and clay-PbI2, respectively

Effects of Prostaglandin E1 and Supplemental Oxygen on the Wound Healing

Background: When an avulsion wound is combined with a crushing injury or when a local flap is moved with significant tension, poor local blood supply may result in partial or complete necrosis of the involved tissue. This paper explores procedures to prevent tissue necrosis for the ischemic wounds.Methods: From March 2017 to December 2018, 29 hospitalized patients (group A) were treated with simple dressing change and administration of antibiotics. From January 2019 to October 2020, 29 hospitalized patients (group B) were injected for the first 3 days intravenously once a day with 50 μg of stabilized prostaglandin E1. Prostaglandin E1 injections were combined with supplemental oxygen (4 L/min through nasal cannula for 24 hours per day for the first 3 days). Wound dressing and antibiotics administration were also combined.Results: Ten patients in group A developed partial wound necrosis, out of which four patients received local flap surgery after excision of the necrotic tissue. The average recovery time was 9.7 days. In group B, four patients developed partial wound necrosis, out of which one was treated with local flap surgery. The average recovery for the four patients in group B took 6.2 days.Conclusion: Prostaglandin E1 and supplemental oxygen reduced the incidence of partial wound necrosis of ischemic wounds and local flap surgery after excision of the necrotic tissue, and also shortened the average recovery time.