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The process of finding an optimal triangulation is a procedure in computational geometry and computer science requiring an amount of time for execution as well as relatively large requirements for data storage. Therefore, it is important to provide an efficient way for faster generation of optimal triangulations and their storage in as little memory space as possible. Accordingly, the paper presents a new method for finding an optimal triangulation based on the square matrix (SM) method, which stores all results of triangulations for given n. The main emphasis of the method is on the speed of generating optimal triangulation and saving memory space during calculation of a large number of triangulations. The method of data storage is constructed on the idea that it is not necessary to store each weight of triangulation particularly, but performing it all at once. The implementation in Java environment is described and experimental results of the SM method are compared to the Hurtado-Noy method. [ABSTRACT FROM AUTHOR]

It has long been recognized that learning content is very useful for developing the intellectual and creative abilities of children. Modern teaching requires dynamic, diverse teaching and its adaptability to the abilities of each individual student. This implies a skillful combination of modern teaching materials, methods, forms and the choice of teaching form in each lesson. In that context, motivational games in the class have a special function. It is common knowledge of every teacher that students in classes need to be encouraged towards full engagement of cognitive abilities. This is not always easy to achieve. In every class, psychological preparation (application) is necessary to mobilize students' attention in the shortest possible period of time, prepare them for cognitive activities, whether it is preparation for the processing of new teaching contents, doing exercises or repeating old material. In all this, well selected motivational games can play a significant role. With engagement of cognitive process in solving such tasks, students can find successful solutions in a short time, and success is the best motive for further work in class.

This article describes how to implement the attack, as well as the ability to implement an application's defense against an attacker. The implementations that are most commonly used today as methods of attack on Web applications are presented. The main goal was to investigate the possibilities of abuse of security failures of modern web applications, and based on this, the analytical and descriptive method as well as the methods of case analysis were applied. It is also analyzed how the attack practically works, testing it on a pre-prepared application to test each attack individually. In addition, there are also examples of how web application users can be compromised and what risks exist. It is also presented and in what way each attack can be removed and the mechanism for protecting the application from the attacker is established.

This research is of great importance because it applies artificial intelligence methods, more specifically the Random Forest algorithm and the Anfis method to research the key factors that influence the success of students in vocational schools. Identifying these influencing factors is not only useful for improving curriculum and practice but also provides valuable guidance to help students master the material more effectively. The main goal of this research is to penetrate deeply into the core of the factors that influence the success of students in vocational schools, using two different methods. Each of the factors represented as input is mutually independent and does not affect each other, but each of them affects the output variable. The parameters considered as input variables are prior programming knowledge and pretest requirements. Then, by finding one factor that has the greatest influence, the factor of pre-exam obligation was investigated in more detail, using the Anfis method, which was broken down into several input parameters. These results emphasize the importance of the combination of the Random Forest algorithm and the ANFIS method in the statistical evaluation and assessment of student achievement in vocational schools. This study provides useful guidelines for improving education and practice in vocational schools to optimize educational outcomes., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)

A total of 48,246 microbiological test results were collected from 130 meat processing plants and 220 meat retail facilities over a seven year period: 41 months before and 43 months after HACCP implementation. Our results confirm a strong positive effect of mandatory HACCP implementation on process hygiene indicators in meat establishments. Significant reductions were observed in the number of hygiene indicator organisms on all types of surfaces examined and types of meat establishments investigated. The improvement of process hygiene was articulated as aerobic colony count reduction of at least 1.0 log10 CFU/cm(2) for food contact surfaces and over 2 log10 CFU/cm(2) for cooling facilities (refrigerators, freezers and other meat cooling devices). Meat handlers' hands hygiene was least positively affected. The period after mandatory HACCP implementation was also marked by a steady decline of positive Enterobacteriaceae and Staphylococcus samples. Process hygiene advances for meat processing plants and meat retail facilities were similar., (Copyright © 2015 Elsevier Ltd. All rights reserved.)