Laser doppler flowmetry as the advanced non-invasive method of evaluation оf microcirculation status in patients with diabetes mellitus

Currently, the problem of diabetes mellitus (DM) is one of the most important medical and social challenges worldwide. This is primarily due to the widespread prevalence of the disease and tendency to further increase in the incidence of diabetes mellitus.Systemic microcirculatory disorders play an impor­tant role in the pathogenesis of DM complications. They lead to the development of microangiopathy and neuropathy through the primary lesion of vessels involved in the blood supply of the peripheral parts of the nervous system. Currently, less than one-third of physicians recognize signs of peripheral neuropathy associated with diabetes. Untimely diagnosis contributes significantly to high morbidity, disability, and mortality.The authorinvestigates the experience of the use of laser Doppler flowmetry (LDF) in clinical practice as a method of studying the state of the microcirculatory bed in patients with diabetes mellitus.LDF is a non-invasive quantitative method of microcirculation assessment; its capabilities include the analysis of microcirculatory rhythms and functional testing with different types of provocative effects, which provides with investigating the state of regulatory mechanisms of microcirculation. The prevention and treatment of various microcirculatory disorders is one of the most important problems of medical practice. The difficulties of studying the microcirculation are caused by the very small size of microvessels and strong ramification of intra-organic vascular networks. The use of LDF in scientific research will make it possible toreveal the DM-specific changes in microcir­culatory bed functioning. The findings of some studies suggest that microcirculatory disorders are not only a pathogenetic link in the development of complications, but they are also observed in patients with early disorders of carbohydrate metabolism and may precede the manifestation of diabetes. However, the method has not yet become widespread in clinical practice.

Determination of color formation of multicomponent fruit and vegetable pastes and dried powder fractions during low temperature treatment

The aim of the work is to determine the color formation of multicomponent fruit and vegetable pastes and dried powder fractions at the stages of low-temperature pre-concentration and drying, as one of the factors, maintaining the quality of the products. In the production of organic plant semi-finished products an important factor is the implementation of high-quality technological operations, including heat and mass transfer, which affects the final organoleptic characteristics of products. It is important to take into account the color of raw materials at the stages of blending puree in the production of paste and powder semi-finished products, which requires the introduction of a unified method for assessing the color of raw materials at each stage of the technological operation. An analysis of traditional methods for determining color formation has been performed, as a result of which it has been found, that the most effective method of evaluation is digital, based on photo processing of the prototype. According to this method, the evaluation of color formation in the manufacture of semi-finished fruits and vegetables in accordance with the proposed recipes has been conducted. Color indices of multicomponent pastes and dried fractions based on them for three prototypes were obtained. The brightness of all samples of pastes is in the range - 36.4… 37.0 % with a purity of tone 64.7… 78.2 %, which corresponds to the reddish-orange color, was obtained. After drying the test samples of pastes to the dried fraction, it has been found, that the brightness, depending on the percentage of raw materials in a sample falls in the range of 30.5… 33.2 %, at that the coloration corresponds to colors from bluish-purple to bluish-red with a purity of tone within 34.7… 34.9 %. As a result of evaluation of organoleptic indicators, it has been found, that according to the presented research samples, the best indicators have a sample with 40 % of raw apples, 20 % of pumpkin, 30 % of cranberries and 10 % of hawthorn. The obtained research data will be useful in the development of methods for the production of semi-finished products from vegetable raw materials. The applied digital method of color determination differs in simplicity and economy in comparison with colorimetric and spectrometric

Methods of evaluation of production and technological work with shipbuilding

Оценка и анализ производственно-технологических работ судостроительных предприятий обусловлен необходимостью обеспечения конкурентоспособности вновь создаваемых объектов морской техники с показателями качества на уровне лучших мировых образцов с одновременным повышением темпов технико-экономического развития их производства. Названная проблема диктует необходимость адекватной оценки состояния технического оснащения производства, а также наиболее эффективных направлений вложения средств на техническое перевооружение. Техническое оснащение производства во многом зависит от уровня автоматизации, механизации технологических процессов, объёмов ручных работ, конструктивно-технологических особенностей создаваемых объектов морской техники, серийности производства и т.д. Для судостроения, судового машиностроения с учётом единичного и мелкосерийного производства характерна высокая доля ручного труда, особенно при выполнении механомонтажных работ. В статье предложен принципиально новый подход к оценке производственно-технологических работ (уровней технического оснащения производства) судостроительных предприятий. Приведены результаты расчётов и оценки на примере переделов (видов работ) механомонтажного производства для группы отечественных судостроительных предприятий. Предложенный метод оценки производственно-технологических работ (потенциалов) универсален для любых видов судостроительных и машиностроительных работ. Evaluation and analysis of production and technological works of shipbuilding enterprises is conditioned by the need to ensure the competitiveness of newly created marine equipment facilities with quality indicators at the level of the world's best samples, while increasing the pace of technical and economic development of their production. This problem dictates the need for an adequate assessment of the state of technical equipment of production, as well as the most effective ways of investing funds for technical re-equipment. The technical equipment of production largely depends on the level of automation, mechanization of technological processes, the volume of manual work, the design and technological features of the created objects of marine equipment, serial production, etc. For shipbuilding, marine engineering, taking into account single and small-scale production, a high proportion of manual labor is characteristic, especially when performing mechanical installation work. The article proposes a fundamentally new approach to the assessment of production and technological works (levels of technical equipment of production) of shipbuilding enterprises. The results of calculations and estimates on the example of repartitions (types of work) are given mechanical assembly production for a group of domestic shipbuilding enterprises. The proposed method of evaluation of production and technological works (potentials) is universal for all types of shipbuilding and machine-building works.

Measurement of the runoff coefficient of extensive greenroof

Describes the procedure of experimental measurement of the runoff coefficient C, both of individual layers and the entire composition extensive green roofs. Experimental measurements make it possible to determine the reference behaviour of runoff characteristics, namely runoff coefficient C, with emphasis on the simulation of the real behaviour of extensive green roofs. The aim is an elementary description of the structural and physical behaviour of extensive green roofs. For the needs of experimental measurement, the dimensional and shape limits of test specimens are described, the conditions for conditioning of individual specimens, the boundary conditions of execution and individual steps of the experiment. Then is specified the method of evaluation and subsequent verification of measured data. The result of the experimental measurement is the amount of drained water from the tested specimens of the extensive green roof at time t, which shows a nonlinear behaviour. From the set of measured data, it is then possible to predict the behaviour of extensive green roofs in real conditions and to determine the runoff coefficient C of the tested specimens. These data represent reference values for the subsequent design of sub-elements and structures of buildings.

The impact of innovations on the efficiency of animal husbandry in Lviv region

Domestic agricultural enterprises do not have a high level of innovation activity, however, stable and competitive operation of an agricultural enterprise is impossible without its innovative activity. Stabilization of the situation in the agricultural sector with the current level of competition and constant technological variables, the innovative vector of development is the driving component of economic growth. Activation of innovation of domestic agricultural enterprises is one of the important prerequisites for stability and sustainable socio-economic development of the country. Consequently, the effective functioning of the livestock industry is possible only under the conditions of systemic and purposeful innovation aimed at finding a variety of new opportunities provided by the business environment. The innovation process in domestic animal husbandry is clearly aimed at the end result - a certain socio-economic, technical or environmental effects. The efficiency of animal husbandry is determined after the introduction of innovation, calculated by the method of evaluation of investment projects. On the example of Lviv region we analyzed the conditions of innovative activity in animal husbandry, assessed the modern innovative potential of the industry, established the features of its innovation and investment activities. SWOT-analysis is an important component of assessing the position of livestock enterprises in the region. It should be recognized that the innovative activity of livestock enterprises is mainly associated with the final stage of the innovation process – the development of innovations. In 2020, farms of all categories of Lviv region compared to 2019 decreased meat production (sales for slaughter of farm animals in live weight) by 1.6 %, milk – by 4.7 %, eggs – by 0.3 %. cattle on farms of all categories on January 1, 2021 amounted to 144.4 thousand heads (including cows – 86.2 thousand heads), pigs – 346.1 thousand heads, poultry – 10.5 million. heads. Compared to January 1, 2020, the number of poultry increased by 5.7 %, pigs – by 4.1 %, the number of cattle decreased by 8.2 % (including cows – by 8.6 %). Innovative activity of the livestock industry is formed under the influence of the domestic innovation system and has its own specifics, which is caused by the peculiarities of agriculture. Most innovative projects are aimed at introducing innovations that contribute to the intensification of animal husbandry and increase the competitiveness of products. Thus, on the basis of innovative development of animal husbandry it is possible to achieve a significant increase in the competitiveness of agricultural enterprises, which will allow Ukrainian producers to achieve significant results in world markets for agricultural products.

Evaluation of Adherence to the Oral Antibiotic Treatment in Patients With Diabetic Foot Infection

Introduction: The knowledge about level of adherence to oral antibiotic treatment in diabetic patients with ulcer infection could be essential as a method of evaluation/monitoring of conservative treatment. Aim: To assess the adherence to oral antibiotic treatment in outpatients with diabetic foot infection (soft tissue vs. osteomyelitis) by 8-item structured, self-reported medication adherence scale. Methods: cross-sectional study was carried out with 46 consecutive patients who had diabetic foot infection (soft tissue or bone infection) and required antibiotic oral treatment at outpatient clinical setting. Medication adherence was tested using the Spanish version of the validated eight-item self-report MMAS-8. Results: patients with diabetic ulcer infection, had well level of adherence to antibiotic medication (7 ± 1.2 vs. 7.4 ± 1.5). Patients with lower level of adherence had lower level of satisfaction with the antibiotic medication. The profile of the patients with lower level of adherence were patients with primary level of education and patient who required more help to take the medication. Conclusion: Patients with diabetic foot infection demonstrated well level of adherence to antibiotic medication, independently of type of infection (soft tissue vs. osteomyelitis) by 8-item structured, self-reported medication adherence scale.

Improvement of the calculation and experimental method of evaluation of carbonization of reinforced concrete structures of sewerage underground systems

Carbonization of concrete leads to a decrease in the alkalinity of concrete, an increase in the number of hydrogen ions in the pores, is one of the main factors that lead to corrosion of reinforcement, the formation of cracks and the subsequent reduction of load-bearing capacity of structures. The study of the depth of carbonization of concrete is to determine the pH of the pore liquid at different depths. There are devices with automatic maintenance of a given concentration of carbon dioxide, to determine the diffusion permeability of concrete to carbon dioxide, based on data on the rate of neutralization (carbonization) of concrete with carbon dioxide. Basically, this method is intended for use in the development of technology and design of concrete composition, providing long-term maintenance of structures in non-aggressive and aggressive gaseous environments, as chips are not prepared immediately before the test and after reaching the design age are placed in the installation with reagents for 7 days. But to determine the carbonization directly on the construction site or object often use the pH method, i.e. the indicator method of pH determination. To assess the concentration of hydrogen ions used acid-base indicators - organic substances – dyes, the color of which depends on the pH from the obtained results the algorithm of definition of depth of carbonization consists in the following actions. The improved formula of definition of depth of carbonization of concrete taking into account degree of aging and corrosion damages for what in the final formula the corresponding coefficients kst and kkor are entered: hcarb = {(2D˖C˖τ) / (mo˖kst ˖kkor)} 1/2, where the effective diffusion coefficient of CO2 in the concrete of the existing reinforced concrete structure, which is determined by the condition D = (mo˖δ2) / (2C˖t ). The thickness of the neutralized layer δ is determined experimentally on an existing structure using a physicochemical method (phenolphthalein solution or using depth gauges. .Concentration of CO2 in air C should be determined by chemical analysis of air samples taken directly from the structure or take ≈ 0.03%. Re. the ability of concrete mo is determined by the formula mo = 0.4 (C˖p˖f), taking the amount of cement, kg per 1m3, respectively, the strength of concrete. neutralization of concrete is equal to f = 0.5.

United-Atom Molecular Dynamics Study of the Mechanical and Thermomechanical Properties of an Industrial Epoxy

Epoxy resins are the most commonly used adhesives in industry due to their versatility, low cost, low toxicity, low shrinkage, high strength, resistance to moisture, and effective electrical resistance. These diverse properties can be tailored based on the chemical structure of the curing agent and the conditions of the curing process. Molecular simulations of epoxy resins have gained attention in recent years as a means to navigate the vast choice of chemical agents and conditions that will give the required properties of the resin. This work examines the statistical uncertainty in predicting thermodynamic and mechanical properties of an industrial epoxy resin using united atom molecular dynamics simulation. The results are compared with experimental measurements of the elastic modulus, Poisson’s ratio, and the glass transition temperature obtained at different temperatures and degrees of curing. The decreasing trend of the elastic modulus with increasing temperature is accurately captured by the simulated model, though the uncertainty in the calculated average is large. The glass transition temperature is expectedly overpredicted due to the high rates accessible to molecular simulations. We find that Poisson’s ratio is particularly sensitive to sample anisotropy as well as the method of evaluation, which explains the lack of consistent trends previously observed with molecular simulation at different degrees of crosslinking and temperatures.

Ocular Response Analyzer versus Goldmann Applanation Tonometer for Measurement of Intra-Ocular Pressure

Background Goldmann applanation tonometry (GAT) has been the gold standard for intraocular pressure(IOP) measurement ,since its appearance in clinical practice around 50 years ago.(1) In spite of being almost unchallenged, the last few years have become a sustained search for a new standard method for IOP measurement,. One such recently marketed instrument is the Ocular Response Analyzer (ORA), which able to detect the corneal biomechanics. Aim of the Work is to compare the IOP measurement estimated by Goldmann applanation tonometer to that of ORA and detect the effect of state of refraction, corneal topography and central corneal thickness (CCT) on these measurements. Patients and Methods This cross-sectional study was done from March 2018 to October 2018 on 65 eyes of patients visiting the outpatient clinic. Results The mean GAT IOP was 15.938 ± 6.041 while the mean ORA (IOPcc) and (IOPg) were 19.711 ± 7.59 and 17.242 ± 7.35 mm Hg respectively. There is a strong positive relationship between GAT IOP & ORA IOPg measurement (r = 0.880 – p = <0.001*). Also finding a weak yet significant correlation between IOPg and CCT (r = 0.385, p = 0.001). None of the pressure measurements was affected by refraction or corneal curvature significantly. Conclusion In conclusion, our results suggest that mean IOPs obtained by ORA were significantly higher than that of GAT with different influencing factors that are not completely understood. caution has to be sought when using the ORA, the values obtained ought not to be used interchangeably with the values obtained by 1 GAT, despite the presence of a positive correlation between these values. This underlines the importance of using one and only method of evaluation of the IOP for every patient in successive follow-up visits.

Evaluation Method of Music Psychological Intervention Effect based on Deep Convolution Neural Network

—In order to improve the accuracy of the evaluation of the effect of music psychological intervention and ensure the application effect of music psychological intervention, a method of evaluation of the effect of music psychological intervention based on deep convolution neural network is proposed. Based on the research of the theoretical basis of music therapy, according to the characteristics of music psychology, the psychological intervention of music is carried out by using music, and the information of music psychological intervention is obtained by using deep convolution neural network. The ability of preparation for music psychological intervention is determined by setting the intensity of music psychological interference, the behavioral intervention coefficient and the evaluation index of utility. The emotional relief ability coefficient of patients was set up to obtain the tracking results of psychological intervention effect, and the evaluation of music psychological intervention effect was realized. The experimental results show that the evaluation results of the method based on the deep convolution neural network are in line with the actual situation, the accuracy of the evaluation is high and the application effect is good.