scholarly journals Software system for drug search in online mode

2021 ◽  
Vol 3 (1) ◽  
pp. 29-37
Author(s):  
Y Horbachov ◽  
◽  
I Pasternak

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.

1991 ◽  
Vol 14 ◽  
pp. 1203-1208 ◽  
Author(s):  
John S. Kallend ◽  
U. F. Kocks ◽  
A. D. Rollett ◽  
H.-R. Wenk

1986 ◽  
Vol 14 (1) ◽  
pp. 571-574 ◽  
Author(s):  
José Campione-Piccardo ◽  
Martha Ruben

Author(s):  
T. M. Magrupov ◽  
Z. M. Yuldashev ◽  
S. P. Abdihalikov

Introduction.  Wireless diagnostics of patients’  functional state is important  for ensuring timely detection and treatment of diseases. In this article, the development of a medical hardware-software system for remote monitoring of the state of biological objects is considered on the example of cardiovascular diseases.Aim. To develop a medical hardware-software system for remote monitoring of the main cardiovascular parameters and to expand the scope of medical remote telemetry equipment, which can eventually lead to improved medical services.Materials and methods.  On the example of cardiovascular diseases, an analysis of the existing medical hardwaresoftware system for remote monitoring of the state of biological objects was carried out, taking into account the cardiac monitoring of the electrocardiogram. This method is widely used for in the diagnostics and treatment of cardiovascular diseases.Results.  A  method  was proposed for creating  a  hardware-software  system  for  remote monitoring of the main cardiovascular parameters to ensure timely detection and treatment of diseases. The general structure of such a system, including its advantages and disadvantages and the routing of information, is described.  The proposed technology of  prolonged  remote monitoring of the patient's health state makes it possible to increase  the efficiency of detecting dangerous heartbeat arrhythmia by about 30%.Conclusions.  The  proposed system  solves  the  problem of registering biological parameters without significant interference in the patient’s vital  activity, which allows typical conditions to be traced. Remote data collection also facilitates the load on medical personnel, reduces the number of contacts with patients and improves their psychological state.


2021 ◽  
Vol 251 ◽  
pp. 04020
Author(s):  
Yu Hu ◽  
Ling Li ◽  
Haolai Tian ◽  
Zhibing Liu ◽  
Qiulan Huang ◽  
...  

Daisy (Data Analysis Integrated Software System) has been designed for the analysis and visualisation of X-ray experiments. To address the requirements of the Chinese radiation facilities community, spanning an extensive range from purely algorithmic problems to scientific computing infrastructure, Daisy sets up a cloud-native platform to support on-site data analysis services with fast feedback and interaction. Furthermore, the plug-in based application is convenient to process the expected high throughput data flow in parallel at next-generation facilities such as the High Energy Photon Source (HEPS). The objectives, functionality and architecture of Daisy are described in this article.


2006 ◽  
Vol 53 (1) ◽  
pp. 53-61 ◽  
Author(s):  
M. A. Bykov ◽  
S. I. Zaitsev ◽  
G. V. Alekhin ◽  
S. A. Kurbaev ◽  
A. P. Egorov ◽  
...  

2002 ◽  
Vol 18 (02) ◽  
pp. 86-91
Author(s):  
Jong Gye Shin ◽  
Sun il Won ◽  
Cheol Ho Ryu ◽  
Hyunjune Yim ◽  
Jang Hyun Lee

An integrated software system was developed for the manufacturing information of the roll bending process for ship hull pieces. To this end, the information flow in the process was studied and designed using the object-oriented method. Separate program modules, obtained by introducing new approaches or modifying existing methods, were integrated to yield a software system that can provide all the manufacturing information required for the roll bending of hull pieces of general shape. The information includes roll orientations, roll lines, roll region, and the center roller movement. Two examples are presented to demonstrate the performance of the developed software. The software developed in this work is expected to provide a solid basis for the automated and efficient fabrication of hull pieces. Also, the object-oriented models developed here will be of great use for further study of ship production.


Author(s):  
Ahmet Artu Yıldırım ◽  
Cem Özdoğan ◽  
Dan Watson

Data reduction is perhaps the most critical component in retrieving information from big data (i.e., petascale-sized data) in many data-mining processes. The central issue of these data reduction techniques is to save time and bandwidth in enabling the user to deal with larger datasets even in minimal resource environments, such as in desktop or small cluster systems. In this chapter, the authors examine the motivations behind why these reduction techniques are important in the analysis of big datasets. Then they present several basic reduction techniques in detail, stressing the advantages and disadvantages of each. The authors also consider signal processing techniques for mining big data by the use of discrete wavelet transformation and server-side data reduction techniques. Lastly, they include a general discussion on parallel algorithms for data reduction, with special emphasis given to parallel wavelet-based multi-resolution data reduction techniques on distributed memory systems using MPI and shared memory architectures on GPUs along with a demonstration of the improvement of performance and scalability for one case study.


Author(s):  
Sami Beydeda

Development of a software system from existing components can surely have various benefits, but can also entail a series of problems. One type of problem is caused by a limited exchange of information between the developer and user of a component. A limited exchange and thereby a lack of information can have various consequences, among them the requirement to test a component prior to its integration into a software system. A lack of information cannot only make testing prior to integration necessary; it can also complicate this task. However, difficulties in testing can be avoided if certain provisions to increase testability are taken beforehand. This article briefly describes a new form of improving testability of, particularly commercial, components, the self-testing COTS components (STECC) strategy and explains in detail the STECC framework, which implements the necessary technical architecture to augment Java components with self-testability.


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