Occupational safety and health (OSH) is a very important issue for both practical purposes in industry and business due to numerous reasons, so a number of software, educational and industrial solutions are available. In this paper, the cloud-based mobile application for digital training and advanced learning in the field of occupational safety was presented. The proposed framework architecture was based on a novel approach: Node.JS for the server backend and the React Native for the front-end development; while MongoDB was used for implementing the cloud data storage using sensors that are all available on the Android platform. In the development of this application, a number of options were developed (using open-source software) such as the reading of a QR code, usage of built-in sensors within android platforms, reporting, and voice messages. The developed SafeST solution is presented through a real industry example. It emphasizes two main possibilities of the solution, improving OHS reporting and significant empowerment of the students in the OHS field based on the learning-by-doing approach. In this way, the additional engagement (identification, recording and reporting of UA/UC) of OSH managers has been reduced to a minimum, taking into account requested reports from management and authorities, and the continual training of the employees and preparation of the students for future working activities. The system was tested for educational purposes with the initial idea to develop an application for smartphones which could be useful and well adopted among engineering students in the OSH field.

Bone injures (BI) represents one of the major health problems, together with cancer and cardiovascular diseases. Assessment of the risks associated with BI is nontrivial since fragility of human cortical bone is varying with age. Due to restrictions for performing experiments on humans, only a limited number of fracture resistance curves (R-curves) for particular ages have been reported in the literature. This study proposes a novel decision support system for the assessment of bone fracture resistance by fusing various artificial intelligence algorithms. The aim was to estimate the R-curve slope, toughness threshold and stress intensity factor using the two input parameters commonly available during a routine clinical examination: patients age and crack length. Using the data from the literature, the evolutionary assembled Artificial Neural Network was developed and used for the derivation of Linear regression (LR) models of R-curves for arbitrary age. Finally, by using the patient (age)-specific LR models and diagnosed crack size one could estimate the risk of bone fracture under given physiological conditions. Compared to the literature, we demonstrated improved performances for estimating nonlinear changes of R-curve slope (R² = 0.82 vs. R² = 0.76) and Toughness threshold with ageing (R² = 0.73 vs. R² = 0.66).

The aim of this paper is to discuss the application of contemporary AI tools and technologies in education. The paper will mainly focus on a close examination of relevant academic literature as well as the current situation and methods of AI implementation in different sectors, finally, in education. Particularly, it was crucial that there were identified the major directions of applying AI in learning with an emphasis on learners and educators being the basic aspects of AI use within modern educational approaches. Secondly, some benefits and drawbacks concerning AI implementations in education supported by experiences from industry leaders and specific satisfaction measures among existing users, are analyzed. The most significant part covers integrating findings that show facts about artificial intelligence being used in education for 2024 like top online learning statistics for 2024, top AI statistics for 2024, and best AI plagiarism checkers for teachers in 2024 respectively. This includes evaluating teacher or instructor preparation skills to employ artificial intelligence (AI) tools and technology as well as ways students can learn how to use them without misuse towards quality education improvement.

In this paper, we discuss the multi-depot vehicle routing problem with regard to mobile beekeeping. Considering that beekeepers usually do not have their own land plots rarely rely on external transporters and often rely on external land plots, we present a fully functional platform to pair beekeepers, transporters, and land plot owners. Two algorithms for calculating optimal mobile beekeeping routes are developed in order to increase honey yield and minimize transport costs. We show that the first algorithm, based on the mathematical model, creates optimal routes in order to transport and distribute beehives by a distributor, while minimizing transport costs. In addition, we consider an option for the case when beekeepers themselves want to handle the transport and use a single external land plot. We show that, for this case, the application of the second algorithm creates a "good enough" solution. This iterative algorithm routes beekeepers to the closest land plot that can handle their beehives. Furthermore, we present a fully functional Web platform that applies these algorithms, enabling beekeepers, transporters and land owners to register and use the platform in Serbia.

Modern information systems widely use intelligent tools for detection, recognition and prediction of new knowledge. The area of implementation of such systems is huge and there is almost no area of industry and services, where such systems are not represented. The aim of the development of such systems is to obtain such an information system in the future that will have full functionality with the ability to upgrade without the intervention of a software development team. The paper proposes an intelligent software solution as a part of the way toward the set ideal software solution. It will particularly highlight that the methodology by which the prototype of the proposed software solution was developed represents a valid basis for the development of software solutions for different areas and services.