With the rapid growth of online communication platforms, the identification and management of toxic comments have become crucial in maintaining a healthy online environment. Various machine learning approaches have been employed to tackle this problem, ranging from traditional models to more recent attention-based transformer networks. This paper aims to compare the performance of attention-based transformer networks with several traditional machine learning methods for toxic comments classification. We present an in-depth analysis and evaluation of these methods using a common benchmark dataset. The experimental results demonstrate the strengths and limitations of each approach, shedding light on the suitability and efficacy of attention-based transformers in this domain.Full article

We study different types of electoral systems in the world, their features, advantages and problems. Legal election technologies for manipulating election results and ways to detect and eliminate the influence of such technologies are also considered. In addition, some results related to so-called "fair elections" are considered.Full article

War is a deformation in the civilization field.Full article

Despite all these subtle sciences and the wide disciplines that have been discovered and developed by man throughout history, we still suffer from wars and the lack of world peace ... Here comes the big question: How can all these sciences not produce world peace? ... Here comes the great answer to this new century for future generations: I think there is incomplete science that we have not yet discovered ... whose role will be to activate the international community and bring about international balance and peace... Through an international equation that could be called the "global peace equation".Full article

Full article