Software system for drug search in online mode

In this project was shown software system for drug search in online mode, which was included: three services, user interface. Also, was analyzed test of this system, speed for system and efficiency of system. A software system – this is a group of integrated software tools which support certain process and share a database. This system shows how three services work: the primary service, the additional service and provider’s service. Also given are the modes of their work, their capabilities and specifically what they include and represent. The description of all technologies are given which used during development of this system, including their advantages and disadvantages in general. On the basic of this technique, the client-server system of drug search is realized. Moreover there are various options for searching for medical items, a searching by using search and by using location of the pharmacy on Google map were suggested. A description of the development environment and main of its functions were provided. In addition, what is REST API, where it was used and why exactly REST was used during development of this system. It also shows how to run the program, namely the procedure, with description, explains exactly how to run the program, and what additional plugins need to be installed. This article describes the algorithm of software system for drug search in online mode, the main functions of the system are given and described. Screenshots of the main modules of the server side and of the program are added as well as screenshots of databases.

The Use of Augmented Reality in Collaboration Within the Construction Industry

Site visitation is a crucial aspect of civil engineers’ job scope as it provides them with first-hand construction data. However, due to the recent COVID-19 pandemic, construction site visitations are restricted, making the tasks of a civil engineer impossible to achieve. The main objective of this research is to find out and suggest a remedy to the problems commonly faced by civil engineers through the help of Augmented Reality (AR). Hence, the study’s objective is to analyse AR’s functionalities and suggest its best application to communicate spacious awareness via visual feedback for civil engineers. For maximum usability, an integrated software suite is proposed that provides access to AR worksites, measured data, and allows peer communication. This addressed the whole spectrum of problems faced by civil engineers with the switch to remote working. However, with the COVID-19 pandemic, the limitation of this project is that testing could not be executed to determine the efficacy of the said solution. Furthermore, the proposed solution has limitations, such as requiring pre-constructed infrastructure in applicable construction sites. Therefore, regular quality assurance (QA) and quality control (QC) are required to ensure proper functionality. In the future, AR LiDAR sensors could be a possibility as it provides increased accuracy of AR measurements which is critical in engineering.

METHODS AND ALGORITHMS FOR PARALLEL CALCULATIONS USING VIRTUALIZATION TECHNOLOGIES IN MATERIALS SCIENCE PROBLEMS

The paper discusses methods and algorithms for the provision of high-performance computing resources in multicomputer systems in a shared mode for fundamental and applied research in the field of materials science. Approaches are proposed for the application of applied integrated software environments (frameworks) designed to solve material science problems using virtualization and parallel computing technologies.

SpatialDE2: Fast and localized variance component analysis of spatial transcriptomics

Spatial transcriptomics is now a mature technology, allowing to assay gene expression changes in the histological context of complex tissues. A canonical analysis workflow starts with the identification of tissue zones that share similar expression profiles, followed by the detection of highly variable or spatially variable genes. Rapid increases in the scale and complexity of spatial transcriptomic datasets demand that these analysis steps are conducted in a consistent and integrated manner, a requirement that is not met by current methods. To address this, we here present SpatialDE2, which unifies the mapping of tissue zones and spatial variable gene detection as integrated software framework, while at the same time advancing current algorithms for both of these steps. Formulated in a Bayesian framework, the model accounts for the Poisson count noise, while simultaneously offering superior computational speed compared to previous methods. We validate SpatialDE2 using simulated data and illustrate its utility in the context of two real-world applications to the spatial transcriptomics profiles of the mouse brain and human endometrium.

An Integrated Software for Computing Mechanical Properties of Crystalline Material by Means of XRD

An integrated software for calculating the major mechanical properties of materials was newly programmed. The material mechanical properties are determined from a peak position and the broadness of X-ray diffraction (XRD) line using profile function method, including Gaussian, Parabola, Half-width, and Centroid. The X-ray diffraction line in software is also corrected by the generalized X-ray absorption function. The results show that the precision coefficient (R2) of the dhkl-sin2 ψ linear regression depends on tested materials and the method of the 2θ determination. The Parabola and Gaussian methods show greater fitting accuracy in comparison to the other two methods in determining stress. The mechanical properties calculated using this software agreed well with the values determined from the conventional methods. In addition, this XRD software also allows computing the 95% confidential limits of the results from a single measurement without conducting repetitive measurements. Therefore, the new software allows widening the experimental scopes of an X-ray diffraction device in both laboratories and the industrial sector.