In response to the growing global competition in the world, scientific research aimed at studying the development of import-substituting production in the national economy is demonstrating its importance. Modernization and diversification of import-substituting production, effective implementation of localization programs in leading sectors of the economy, ensuring the main macroeconomic proportions and balance by regulating import processes, ensuring the competitiveness of national production through the consistent introduction of "green technologies" and combating climate change, research on issues such as the digital economy and the effective use of innovative technologies in the development of import-substituting production, They are the priority areas of scientific research in this area.
05.03.2023 Volume 2 Issue 3 View more Download
The article discusses the risks that arise in the implementation of the main processes of the activity of pharmaceutical employees. The main risks are related to non-observance of normative rules in the creation of working conditions, a large number of burdens on the employee during work, employees not using personal protective equipment during work.
05.03.2023 Volume 2 Issue 3 View more Download
Ultrasound images can be used to diagnose kidney disease: identify systemic abnormalities such as cysts, stones, and infections, and provide information about kidney function. This article focuses on the selection of appropriate features for efficient classification of normal and abnormal kidney images. In diagnosing cardiac images, grayscale transformation has been used to classify abnormal images in the kidneys. A data set formed by a convolutional neural network was trained. 2 classes were created and on their basis a recognition result of 89% was achieved.The prevalence of chronic kidney disease (CKD) increases annually in the present scenario of research. One of the sources for further therapy is the CKD prediction where the Machine learning techniques become more important in medical diagnosis due to their high accuracy classification ability. In the recent past, the accuracy of classification algorithms depends on the proper use of algorithms for feature selection to reduce the data size. In this paper, Heterogeneous Modified Artifical Neural Network (HMANN) has been proposed for the early detection, segmentation, and diagnosis of chronic renal failure on the Internet of Medical Things (IoMT) platform. Furthermore, the proposed HMANN is classified as a Support Vector Machine and Multilayer Perceptron (MLP) with a Backpropagation (BP) algorithm. The proposed algorithm works based on an ultrasound image which is denoted as a preprocessing step and the region of kidney interest is segmented in the ultrasound image.
05.03.2023 Volume 2 Issue 3 View more Download
The physical and chemical processes of hydration and the physical and mechanical properties of Portland cement clinkers were studied using Devanasay shale. It has been established that, in terms of the content of the main components, the obtained two- and three-component experimental Portland cements with different saturation coefficient and silicate module satisfy the requirements for industrial cements.
04.03.2023 Volume 2 Issue 3 View more Download
SCIENCE & INNOVATION