Riga Technical College

Many notable personalities are buried at the Mārtiņš Cemetery in Riga, including those who have contributed to the development of engineering sciences. Several personalities are associated with Riga Polytechnicum (RP) / Riga Polytechnic Institute (RPI). These are the founders of the RP, members of the Council, lecturers and former students. Nine individuals were identified during the research: one founder of the RP, two lecturers and four former students, one of whom was also a lecturer, and two graduates. The most well-known personalities are the Thilo family and the RP lecturer and entrepreneur Rudolph Heinrich Mantel (1853–1924). Monuments have survived for some of the buried, and their photographs are included in the article.

Notiek tradicionlie RTU Iezvanans svtki.https:/

Abstract This study introduces a precise risk assessment approach for UAV-based emergency response at lakesides, utilising 5G connectivity and adhering to SORA 2.5 standards. The system facilitates BVLOS missions via real-time surveillance, AI-powered video analysis, and automated flight planning informed by fluctuating demographic and environmental data. UAVs are centrally administered using a Remote Operation Control Centre (ROCC), facilitating prompt intervention in both temperate and frigid weather situations. Field testing confirms its capacity for decreased response times and enhanced coordination within EU regulatory frameworks. As SORA 2.5 restricts BVLOS operations in populated areas, it does not account for dynamic environmental factors or the presence of controlled safety zones within these areas. This results in overly conservative restrictions that can hinder legitimate, safe UAV operations. Also, current SORA implementations largely rely on qualitative or class-based population risk models. To address this gap, the proposed methodology applies a quantitative, high-fidelity risk assessment using geospatial and real-time data layers like mobile network coverage, detailed population distribution, building structures, and weather forecasts. This enhances the precision of ground risk calculations, enables risk-informed decision-making, and supports regulatory compliance with improved operational flexibility. The proposed methodology aligns with the evaluation, demonstration, and submission phases proposed in recent updates, including tools like ZHAW’s SORA Tool v3.0.0.

This practitioner narrative aims to describe the implementation of the European Prevention Curriculum (EUPC) in Latvia, highlighting the structure, key achievements, challenges, and lessons learnt to inform future implementation efforts. Until 2025, Latvia has translated the EUPC handbook into the national language, ensured EUPC basic trainings since 2021 and the academic course since 2023, and, with the support of the European Drugs Agency (EUDA, formerly known as the European Monitoring Centre for Drugs and Drug Addiction, EMCDDA), trained five national EUPC trainers. Currently, the EUPC training is offered at most twice a year-once for national decision-makers, opinion leaders, and policymakers (DOPs) and once for university students. Key barriers to the large-scale implementation of the EUPC include limited funding, the additional workload associated with delivering EUPC trainings for national trainers, the absence of a national implementation framework, and the lack of official recognition of EUPC certification. Nevertheless, an analysis of participants' pre-test and post-test responses demonstrates an increase in self-reported knowledge related to EUPC content. Furthermore, elements of the EUPC have been integrated into various methodological and educational materials on substance use prevention in Latvia.

The article analyzes and evaluates the components of traction motor-gear units of electric trains operating on regional lines at speeds of up to $160 \mathrm{~km} / \mathrm{h}$, focusing on the durability and performance of these components. It was found that the most worn parts of the electric motors and gear units are the bearing holes in the motor shield and the gearbox housing, which are subjected to significant stress and wear over time. Based on the simulations conducted, the critical wear limits were determined, taking into account various factors such as load, speed, and environmental conditions. These limits were found to depend significantly on the material of the bearing shields, which can be restored to their original condition using advanced electrophysical methods, thereby extending the service life of the components and improving the overall reliability of the trains.

In the context of the inevitable use of calculation and simulation in the design of traction electrical equipment in industrial environments, the issue of technological purity in manufacturing traction drive units is becoming increasingly relevant. Specifically, precise production of charge-welded units, hardening, and tempering of materials for elements of the supporting structures of traction motors are crucial. One of the most pressing issues in the serial production of traction electric drives, from the perspective of mechanical and strength tests, is to determine the cause of vibration in the rotating components of the electric drive. This vibration can be of both mechanical and electromagnetic nature, especially when considering the power supply characteristics of the traction motor gear unit (hereinafter referred to as MGU) using voltage converters with pulse width modulation (PWM). The purpose of this work is to conduct experimental studies to establish the causes of increased vibration activity in the MGU sample. Research has shown that vibration in motors featuring charge-welded housings can be substantially intensified by structural resonance.

Thinking styles are defined as consistent individual differences in preferred ways of organizing and processing information and experience, thus bridging the gap between personality traits and cognitive processes, meaning, it is more important to understand what abilities people prefer to develop and use, rather than what abilities they have. Thinking styles remain an ongoing area of research in education and psychology, providing insights into students’ experiences and informing educational practices. Latvia still faces a shortage of validated and standardized tests, thus to determine thinking styles, a questionnaire titled “Thinking Style Inventory – Revised II” was selected. This research is a part of a much wider study, which is based on the idea that nowadays the use of the internet and technology form and develop young people’s habits of mind that have not yet been explored. Based on this idea, a research project was established whose overall goal is to discover the impact of young people’s (age 16-25) internet use patterns on cognitive functioning (The impact of internet usage patterns on the development of youth’s cognitive styles, No.: lzp-2021/1-0357). The goal of the specific stage of the study and thus this article is to adapt and standardize the Thinking Style Inventory–Revised II in Latvian. To reach the goal, the questionnaire underwent back and forth translation, then was piloted (n=30), checked for internal consistency, thus concluding the first stage of adaptation. For standardization (n=2169) factoranalysis, discrimination indexes and norms were determined. The results show an overall good internal consistency and the factoranalysis shows similar structure to the original questionnaire. The obtained results indicate that Thinking Style Inventory – Revised II Latvian version can be successfully used to determine thinking styles in Latvia.

This study explores the development and implementation of an artificial intelligence (AI) model designed to predict illegal border crossing locations, thereby enhancing the effectiveness of national border security measures. By integrating and analyzing diverse data sources, -including satellite imagery, social media, and environmental factors, -this AI model aims to identify potential migration patterns and high-risk areas for illegal crossing. This research highlights the model's ability to provide real-time risk assessments, offering a novel approach to border security that surpasses traditional methods in terms of both efficiency and cost-effectiveness. The model's adaptability, continuous learning capabilities, and user-friendly interfaces ensure its relevance in addressing contemporary border-security challenges. This article contributes to the ongoing discourse on the application of AI in national security by proposing a solution that leverages technology for improved coordination among immigration services, government organizations, and international bodies.

The aim of the study was to evaluate the presence of anxiety and depression among infertile couples undergoing infertility treatment in Latvia. Materials and methods: In this cross-sectional study we compared anxiety and depression symptoms in couples diagnosed with primary infertility (111 women and 55 male), evaluating male and female symptoms separately and together. The level of anxiety and depression were measured using Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). Results: Upon assessing anxiety and depression level scores mild anxiety is predominantly observed in couples undergoing ART cycles for the first time, accounting for 44.6%, compared to those undergoing it for the 2 nd and 3 rd time, where the prevalence is equal and stands at 40.7%. Conversely, a noteworthy trend is discerned in patients undergoing ART multiple times, revealing a higher prevalence of moderate and severe anxiety, at 18.6% and 9.3%, respectively. The highest prevalence of depression symptoms is observed in individuals undergoing their second ART cycle and beyond. Particularly noteworthy is the substantial proportion of these patients, with 36.0% experiencing mild and 17.7% experiencing moderate depression symptoms. Conclusions: The experience of undergoing artificial reproductive technology treatment multiple times is associated with heightened prevalence of depression and anxiety among infertile couples. These conclusions highlight the importance of addressing mental health aspects in the context of infertility and ART cycles.