Tallinn University of Applied Sciences

Additive manufacturing of copper alloys remains challenging due to their high reflectivity and thermal conductivity, which limit laser energy absorption and increase energy consumption. In this study, the laser powder bed fusion of a copper-based CuNi2.5SiCr alloy is demonstrated using low laser powers (67.2-100.8 W). Samples fabricated at 67.2 W achieved a relative density of 96.8%, with no significant improvement observed at higher laser powers. The post-process heat treatments were conducted at 750 °C, 850 °C, and 950 °C to investigate their influence on microstructure, hardness, electrical and thermal conductivity. Heat treatment at 850 °C resulted in the highest hardness, improved microstructural uniformity and 20 W/mK thermal conductivity, while the as-fabricated samples exhibited the highest electrical conductivity (1.07 × 106 S/m).

ABSTRACT Given the critical importance of collaboration between healthcare and social care professionals in postpartum care, this study explored how their daily tasks facilitate or hinder integrated care during the first six weeks after childbirth. Using qualitative network analysis, the study included healthcare professionals (midwives, family doctors, and family nurses) and child protection workers from Estonia. Interviews and concentric circle mapping revealed the strengths and closeness of their professional relationships. While both groups demonstrated strong task awareness and collaborated effectively within their fields, interdisciplinary collaboration primarily occurred on a case-by-case basis. The findings highlight professionals’ commitment to holistic postpartum care, but differing task perceptions and systemic barriers, such as inadequate communication and data-sharing systems, often hinder collaboration. Addressing these challenges through improved task distribution, better organisation, and enhanced data sharing can strengthen interdisciplinary collaboration, foster integrated care, and improve postpartum outcomes for women.

Fixed assets that are used by the government need an accounting treatment for fixed assets. These assets can be in the form of fixed assets that are used by the government in carrying out its operational activities. The recognition of fixed assets is regulated in the Republic of Indonesia Government Regulation No. 71 of 2010 concerning Statements of Government Accounting Standards which contain the accrual basis as applicable Government Accounting Standards. This study aims to determine the extent on application of accounting for the implementation of fixed assets. The method of analysis used in this study is a descriptive method in which the purpose of each data collected is analyzed and drawn a conclusion and the type of research conducted is descriptive qualitative. The results of the study found that the process of implementation fixed assets at the North Sumatra Province, Boyolali District, Madiun District, Bitung City, and Minahasa District Financial and Asset Management Agency is in accordance with applicable regulations.

Research into human-system symbiosis has increasingly focused on real-time trust assessment using psychophysiological signals.While previous studies have developed and evaluated machine learning-based cognitive models of trust, none have implemented these models in real time with integrated audio-visual feedback as a trust-reinforcing mechanism.Moreover, no studies have explored whether such real-time assessments, combined with adaptive feedback, can enhance user experience in terms of trust and reliance.This study addresses that gap by evaluating how an adaptive feedback system for measuring users' trust in real-time improves users' experience (trust and overall reliance).The results of a within-subject experiment involving four risk-level conditions in an autonomous vehicle driving simulation show that real-time trust assessment with adaptive feedback significantly enhances user trust and reliance on AI-driven systems.

Social media challenges traditional gatekeeping mechanisms in the art market by enabling individuals to create, exhibit, and sell artwork independently of institutions. This paradigm shift holds significant implications for Estonian creatives, who contribute 4.2% to the national economy and increasingly integrate digital technologies into their practices. Established Estonian artists actively use digital platforms to connect with audiences, sometimes provoking public discourse and amplifying the influence of local creatives internationally. This study investigates the motivations, platform preferences, and attitudes of Estonian art practitioners toward social media through 12 semi-structured interviews with musicians, performative artists, designers, visual artists, and art researchers. Thematic analysis reveals active social media usage, with Facebook and Instagram being the most popular platforms, while TikTok remains underutilized. Key uses include content sharing, professional observation, and event organization. The findings highlight the dual role of social media as a complementary tool and a disruptive force in artistic practices, while also surfacing emerging concerns around digital ergonomics—such as cognitive load, attention management, and the sustainability of always-on engagement for creative well-being.

This study explores the evolution of messaging platform preferences in Ukraine over the past decade and presents the development of a Telegram-based chatbot aimed at improving customer support services. Using Google Trends data from January 2014 to March 2024, we analysed the relative popularity of major messaging applications, revealing a significant increase in Telegram usage and a decline in platforms such as Viber. These insights informed the choice of Telegram as the primary channel for deploying a customer service bot. The chatbot was developed using Python and the aiogram framework, selected for its asynchronous capabilities and efficient handling of real-time user interactions. The bot supports two user roles – customers and administrators – and includes functionalities such as live chat, manager allocation, scheduling, and user management, all backed by an SQLite database. The system is designed for scalability, ease of maintenance, and potential integration with additional services. The results demonstrate the effectiveness of combining trend analysis with targeted software development to address evolving communication needs. The chatbot provides a practical, scalable solution for businesses seeking to automate and improve their customer support processes. This project highlights the value of data-driven decision-making and modern development tools in creating responsive and efficient digital services.

Maqolada Janubiy Orolqumda tarqalgan (Capparidaceae) C. spinosa L. o‘simligini in vitro sharoitida turli konsentratsiyadagi NaCl (50, 100, 150, 200, 250, 300, 350, va 400 mM) qo‘shilgan ozuqa muhitlariga ekish orqali tajribalar olib borildi. Natijada mikronihollarning morfogenetik samaradorligiga NaCl tuzining 200 mM konsentratsiyasi eng ijobiy ta’sir ko‘rsatib, ularning yuqori konsentratsiyalarga moslashish va rivojlanish chegarasi 400 mM konsentratsiyagacha ekanligi aniqlandi

Through a debt and receivables agreement between a lender and a loan recipient, a debt and receivables agreement can be created with anyone who has the capacity for it, not only financial institutions. By examining information obtained from the study of literature, books, papers, and laws and regulations regarding the problems discussed, normative research methodologies are used in this study. Primary, secondary, and tertiary data were used in this study. The study's findings lead to the conclusion that the civil procedure legislation governs default settlements, just like it does for the settlement of other civil matters. This means that in the process of settlement, damages or collateral seizure may be imposed if necessary. This study's goal is to determine the repercussions of a breach in an agreement involving unsecured debt and receivables as well as the process that was employed to fix the issue. Intentionality and weakness of faith are factors that cause a breach of a covenant. Without guarantee, default in a debt and receivables agreement can be settled both in court and out of court.

The research task of the paper is to compile the input data system for the artificial intelligence (AI) model to implement in the textile industry. The methods employed for the purpose are: 1) analysis of the scientific literature in this field over the world, including Estonia and Latvia; 2) analysis of models previously created by the authors of the current paper taking into account the climate conditions in the workplaces; 3) the assessment of the work-related musculoskeletal disorders; 4) the analysis of the opinion of the workers’ on the working conditions and their health complaints connected with work; 5) the measurements of working conditions at Latvian and Estonian textile workplaces. Work-related musculoskeletal disorders (WRMSDs) are the most common workplace health hazards among sewing, ironing and packing workers, which can be caused by repetitive work, static posture, monotonous work, etc. The key result is that the model for AI input data was compiled, which consists of 3 parts: 1) operating working environment factors influencing people, the influence of them on the organ systems, functional stages of occupational disorders, loss of work capacity; 2) computer software on textile workers; 3) possible preventive actions. The significance of the findings – a better work environment is organized for the textile workers with the AI model.