This paper presents a systematic literature survey on diagnostic methods used for railway materials and systems. The authors analyze various railway accident reports, focusing on the types of failures described and their causes. Previous review papers have addressed various aspects of railway...

There is a noticeable lack of studies relating to voice, breathing and how they relate to each other in patients with voice or respiratory diseases. Therefore, the aim of our study was to assess and compare the breathing pattern and voice variables in people with voice and respiratory disorders. The research was conducted on a group of 61 persons, including 16 patients with chronic obstructive pulmonary disease (COPD), 15 patients with dysphonia and 30 healthy persons. Breathing pattern and voice variables were assessed in relaxed sitting position. The breathing parameters was evaluated separately for upper and lower chest using the respiratory inductive plethysmography. The recording of acoustic speech signal was performed using a dynamic stage microphone with a preamplifier and a digital signal recorder. The acoustic signal was further analysed by evaluating four parameters: Jitter, Shimmer, HNR and MFCC. In the sitting position, people with dysphonia and COPD had longer and deeper exhalations and deeper breaths than healthy subjects, regardless of the assessed track, however in the subjects with COPD higher for the abdominal track and for dysphonia subjects in thoracic track were observed. Subjects suffering from dysphonia were characterized by lower voice power and pitch and more distortions in the speech signal compared to healthy subjects, whereas both dysphonia and COPD patients had statistically significantly lower voice frequency compared to the control group. Subjects with COPD made greater use of the diaphragmatic track in sitting position, whereas subjects with dysphonia used the thoracic track to a greater extent. Stronger correlations between voice and respiratory parameters for the abdominal track exist in people with voice or respiratory dysfunctions than in healthy subjects.

This study investigates the feasibility of integrating Hyperloop technology with hydrogen fuel systems. The primary objective was to evaluate how Hyperloop infrastructure can incorporate hydrogen refueling stations to optimize transport efficiency and sustainability. The research utilized simulation models developed with ArchiCAD and FlexSim software to analyze the integration of Hyperloop cargo and passenger transport with hydrogen refueling processes. The study included detailed simulations of Hyperloop operations and refueling logistics, focusing on safety, efficiency, and the potential for reducing carbon emissions. Key parameters such as capsule speed, refueling times, and infrastructure requirements were analyzed. Results indicated that Hyperloop technology can significantly enhance transport efficiency, particularly for high-value and time-sensitive goods, while hydrogen refueling stations offer a sustainable energy solution with considerable potential for reducing environmental impact. The findings demonstrate that integrating hydrogen refueling stations into the Hyperloop system can improve operational efficiency and sustainability. However, challenges remain in optimizing refueling processes and infrastructure development. Future research should address these challenges and explore additional AI-based optimization techniques to enhance the overall system performance. This research is especially useful for urban planners, transportation engineers, and policymakers aiming to develop efficient, sustainable transportation systems that incorporate cutting-edge technology like Hyperloop and hydrogen refueling infrastructure.

This publication describes the analysis of a method for precision automatically balancing an offshore wind turbine by continuously changing the correction mass. The motivation for this work is to make wind turbines safer and their service life. Automatic balancing has never been used in wind...

Growing electricity demand and decarbonisation requirements pose significant challenges for coal-dependent transition economies. This study examines whether nuclear deployment can support low-carbon economic transformation using Poland’s national nuclear programme as a case study. We conduct a structured document analysis that integrates a systematic search and screening of peer-reviewed literature with an analysis of national policy and planning materials and a synthesis of publicly available project documentation for the Lubiatowo-Kopalino nuclear power plant, the Pątnów project, and the planned small modular reactor (SMR) deployments. Impacts on employment, infrastructure, technical education, technology transfer, and local supply chain participation are assessed and mapped to the sustainable development goals and the EU climate policy criteria. The analysis indicates that, if accompanied by early workforce development and supplier prequalification, nuclear investments can stimulate industrial upgrading, strengthen energy security, and deliver regional co-benefits beyond electricity generation. At the same time, scheduling slippage, governance uncertainty, and gaps in domestic capabilities in nuclear-specific components can limit these benefits. The article concludes with recommendations for national and local authorities on stakeholder engagement, local content strategy, and risk management that can be transferred to Central European economies with similar starting conditions.