The article examines the crucial role of innovative analytical and statistical technology in electoral forensics, which are increasingly used for detecting and preventing electoral corruption and fraud. By analysing vast amounts of data and detecting anomalies, electoral forensic investigations can contribute to fair and transparent democratic processes. The research aims to explore the effectiveness of these technologies and their potential impact on improving the transparency and fairness of electoral processes, using a multi-method approach that includes analysing relevant documents, media coverage, public opinion, and recent fraud cases. The authors divide the implementation of innovative analytical and statistical technologies for combating election corruption into four groups. The first is the analysis of statistical data and research on corruption, including election processes, which can be called secondary data analysis. The second is the analysis of documentary data containing information on corrupt actions and offences, including election processes. The third is the development of mathematical methods and algorithms using cutting-edge technologies such as artificial intelligence and machine learning for detecting anomalies and hidden patterns. The fourth is experimental developments in information technologies as a means of ensuring proper governance and combating corruption. While the use of algorithms for detecting anomalies in electoral statistics data can be an important tool, it should be used with caution, and in combination with other sources of information, to avoid the consequences of delegitimising the election results.
This paper presents the protons and neutrons distributions in atomic nucleus shells calculation algorithm which may be used for ab initio no-core nuclear shell model computations. The problem of enumeration of many-particle states is formulated on energetic basis instead of application of the traditional scheme for states classification. The algorithm provides calculations of protons and neutrons occupation restrictions for nuclear shells for an arbitrary number of oscillator quanta. The reported results show that the presented algorithm significantly outperforms the traditional approach and may fit the needs of state-of-the-art no-core shell model calculations of atomic nuclei.
The paper proposes a technology for mass optimization of two-dimensional body applying genetic algorithms. Main attention is focused on geometry of 2D body, i. e. search for optimal coordinates of body points. Direct analysis of 2D body – von Mises stress determination – is performed using original program based on finite element method. The set of design parameters contains the coordinates of body points in 2D space. The results of numerical experiments proved the proposed technology to be efficient tool for solution of 2D body mass optimization problem.