Models of genetic code structure evolution with variable number of coded labels

Biosystems ◽  
2021 ◽  
Vol 210 ◽  
pp. 104528 ◽  
Author(s):  
Konrad Pawlak ◽  
Małgorzata Wnetrzak ◽  
Dorota Mackiewicz ◽  
Paweł Mackiewicz ◽  
Paweł Błażej
Keyword(s):  
Genetic Code ◽  
Variable Number ◽  
Structure Evolution ◽  
Code Structure

Code Structure for Unit Testing

2019 ◽  
Author(s):  
Bill Mårtensson
Keyword(s):  
Unit Testing ◽  
Code Structure

scholarly journals Comparative analysis of Kotlin and Java languages used to create applications for the Android system

2019 ◽  
Vol 13 ◽  
pp. 354-358
Author(s):  
Daniel Sulowski ◽  
Grzegorz Kozieł
Keyword(s):  
Comparative Analysis ◽  
Programming Languages ◽  
Mobile Applications ◽  
Community Support ◽  
Code Structure ◽  
Android System ◽  
Execution Times

This publication presents the results of a comparative analysis of Java and Kotlin programming languages used to create mobile applications for system Android. The analysis covers performance aspects such as CPU load, RAM load, as well as the compilation and execution times. Aspects such as code structure, availability of libraries, supported databases, popularity and community support were taken under consolidation.

Algorithm for implementation of the «third decision scheme» of increasing the efficiency of search and synchronization of difficult broadband noise like signals

2021 ◽  
Author(s):  
I.I. Snytkin ◽  
T.I. Snytkin
Keyword(s):  
Central Element ◽  
Broadband Noise ◽  
Telecommunication Networks ◽  
Complex Signals ◽  
The Third ◽  
Recurrent Sequences ◽  
Decision Scheme ◽  
Code Structure ◽  
Wideband Signals ◽  
Derivatives Of

The construction of telecommunication networks with a guaranteed level of quality of service involves assessing and ensuring the security of both the networks themselves and information flows from unauthorized access and various kinds of interference, in particular at the 1st (physical) level of the network. In this regard, research in the field of creating recurrent code sequences with improved systemic, correlation, secretive, imitation-resistant properties is constantly relevant. In particular, research in the development and application of derivative nonlinear recurrent sequences, as a central element in the developed theory of the «third decision scheme». Goal of the work is to develop an algorithm for increasing the efficiency of search and synchronization of broadband signals in the form of double derivatives of nonlinear recurrent sequences, which directly uses the features of their code structure, the properties of determinism of their auto- and cross-correlation functions. The results of the research and development of the efficiency of the algorithm for accelerated search and synchronization of broadband complex signals in the form of phase-shift keyed derivatives of nonlinear recurrent sequences, which implements the principles of the «third decision schema» The developed algorithm, based on the use of double derivatives of nonlinear recurrent sequences as wideband signals, can be applied in the construction of promising packet radio networks.

How (Not) to Reproduce: Practical Considerations to Improve Research Transparency in Political Science

2021 ◽  
pp. 1-6
Author(s):  
R. Michael Alvarez ◽  
Simon Heuberger
Keyword(s):  
Best Practices ◽  
Political Science ◽  
Professional Organizations ◽  
Code Structure ◽  
Research Transparency ◽  
Implementation Of Standards

ABSTRACT In recent years, scholars, journals, and professional organizations in political science have been working to improve research transparency. Although better transparency is a laudable goal, the implementation of standards for reproducibility still leaves much to be desired. This article identifies two practices that political science should adopt to improve research transparency: (1) journals must provide detailed replication guidance and run provided material; and (2) authors must begin their work with replication in mind. We focus on problems that occur when scholars provide research materials to journals for replication, and we outline best practices regarding documentation and code structure for researchers to use.

Development of a Mesh Generation Code with a Graphical Front-End

2011 ◽  
Vol 23 (4) ◽  
pp. 1-16 ◽  
Author(s):  
Jeffrey Carver
Keyword(s):  
Mesh Generation ◽  
Language Choice ◽  
Lessons Learned ◽  
Development Environment ◽  
Software Developer ◽  
Software Development Environment ◽  
Requirements Evolution ◽  
Code Structure ◽  
Scientists And Engineers

Scientists and engineers are increasingly developing software to enable them to do their work. A number of characteristics differentiate the software development environment in which a scientist or engineer works from the development environment in which a more traditional business/IT software developer works. This paper describes a case study, specifically about the development of a mesh-generation code. The goal of this case study was to understand the process for developing the code and identify some lessons learned that can be of use to other similar teams. Specifically, the paper reports on lessons learned concerning: requirements evolution, programming language choice, methods of communication among teammates, and code structure.

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