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We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time serie…

We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time series and the calculated stability indexes. The secondary goal is to characterise the group of fuzzy linguistic summaries that may serve as promising explanations of changes detected in the original time series.

 In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs…

 In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs and semantic verification, the present work focuses on assessing their validity using Peterson’s grade-based rules. 

This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy …

This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy variables with complete correlation expressed via a linear relation. We then examine its impact on interval operations and the inverse property. Our results show that fuzzy arithmetic requires more nuanced approaches than simple point-wise interval analogies. 

In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogism…

In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogisms, i.e., syllogisms that contain intermediate quantifiers. Our results are related to the theory of non-monotonic reasoning. 

In pattern mining from tabular data using fuzzy logic, a common task involves computing triangular norms (t-norms) to represent conjunctions of fuzzy predicates and summing the resulting truth values …

In pattern mining from tabular data using fuzzy logic, a common task involves computing triangular norms (t-norms) to represent conjunctions of fuzzy predicates and summing the resulting truth values to evaluate rule support or other pattern quality measures. Building on previous work, this paper presents an approach that packs multiple fuzzy truth values into a single integer and performs t-norm computations directly on this compact representation. By using 4-, 8-, or 16-bit precision, the method substantially reduces memory consumption and improves computational efficiency. For example, with 8-bit precision—offering two decimal places of accuracy—it requires only one-quarter of the memory and achieves 3–16× speedup compared to conventional floating-point-based method of computation. The proposed method is also compared with a traditional computation approach optimized using advanced Single-Instruction/Multiple-Data (SIMD) CPU operations, demonstrating its superior performance on modern architectures. 

In this article, we analyse the digitalisation process in social services in Catalonia from the perspective of social workers' demands, establishing a set of strategies for better incorporation of dig…

In this article, we analyse the digitalisation process in social services in Catalonia from the perspective of social workers' demands, establishing a set of strategies for better incorporation of digital technologies in public administrations. Co-design and co-creation methodologies allow us to evaluate our organisations more effectively, giving social workers a voice so that they can highlight the positive and negative effects of their organisations' digitalisation model, actively participating in the redesign of the digital social services model from the outset. Through a participatory process involving 109 social workers from social services in Catalonia, using methodologies such as the customer journey and impact maps, this article presents some strategies for strengthening inclusive digitalisation focused on the well-being of social service workers and users.

This article examines the role of digital skills in the health sector, where healthcare social workers perform their professional work, using the Delphi method in two rounds: 2020 (pre-Covid-19 contex…

This article examines the role of digital skills in the health sector, where healthcare social workers perform their professional work, using the Delphi method in two rounds: 2020 (pre-Covid-19 context) and 2021 (Covid-19 context). Experts point out three major transformations in organisations resulting from digitalisation: (i) the growing importance of digital skills; (ii) the relevance of developing a leadership adapted to a digitalisated context, and (iii) the key role of health managers and their organisations. Based on the results obtained, a conceptual approach based on the Shaw et al. (2017) model is proposed to face the challenges of e-Health, explicitly centred on fostering both organisational and individual wellbeing. This leadership model aims to improve the wellbeing of workers in the healthcare sector, including healthcare social workers.

This repository contains data collected for Work Package 1.3: Short-term impacts of ICT use on adult wellbeing, part of the DigiWELL project (Research of Excellence on Digital Technologies and Wellbei…

This repository contains data collected for Work Package 1.3: Short-term impacts of ICT use on adult wellbeing, part of the DigiWELL project (Research of Excellence on Digital Technologies and Wellbeing, CZ.02.01.01/00/22_008/0004583). This study was conducted as a technical pilot (EMA1) to verify the functionality of the research applications used for subsequent EMA studies: Health React (for survey collection) and eBehave (for passive smartphone trace data collection), both developed by the University of Hradec Králové. The seven-day EMA study involved 58 Masaryk University students (58% female; age range: 19–30 years; M = 21.5; SD = 2.3). KeywordsEcological Momentary Assessment, Experience Sampling Method, Technical pilot   For additional information or questions, please contact the contact person: Martin Tancoš (tancos@fss.muni.cz).

DXAlyzer is a desktop tool for extracting, reviewing, validating, and exporting DXA measurement data from Hologic DXA PDF reports and OCR text exports. The application runs locally, stores data in a l…

DXAlyzer is a desktop tool for extracting, reviewing, validating, and exporting DXA measurement data from Hologic DXA PDF reports and OCR text exports. The application runs locally, stores data in a local SQLite database, and prepares cohort-level CSV tables and SVG figures for research and publication workflows. Features Import DXA reports from .pdf, .txt, .text, and .ocr files. Extract patient identifiers, scan dates, BMD, BMC, T-score, Z-score, fat mass, lean mass, and total mass values. Review and edit extracted records before saving them. Validate measurements with QC status and notes. Compare repeated measurements for the same patient. Export full measurement data to CSV. Generate publication summary tables and subject-level change tables. Export cohort figures as SVG. Manage parser templates for different report formats. Requirements For running from source: Python 3.11 or newer Windows, macOS, or Linux with Tkinter support Python dependencies are listed in requirements.txt. Run From Source python -m pip install -r requirements.txt python main.py   Application data is stored locally in: ~/DXAlyzer/dxa.db ~/DXAlyzer/templates/   Windows Executable The Windows executable is built with PyInstaller and published through GitHub Actions. To download it: Open the repository on GitHub. Go to Releases. Download DXAlyzer.exe from the latest release. If there is no release yet, open Actions, run the Windows Release workflow manually, and download the windows-DXAlyzer artifact. Build On Windows From a Windows command prompt in the project folder: build.bat Expected output: dist\DXAlyzer.exe   More release and code-signing details are documented in WINDOWS_RELEASE.md. Basic Workflow Import PDF reports or OCR text exports. Review extracted records before saving. Check measurement quality in the QC tab. Run cohort analysis. Export CSV tables and SVG figures.   Acknowledgements This software was developed as part of the project Research of Excellence on Digital Technologies and Wellbeing, CZ.02.01.01/00/22_008/0004583, co-funded by the European Union. License This project is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). 

This dataset contains aggregated prevalence estimates regarding cigarette smoking among adolescents in the Czech Republic, derived from three waves of the Health Behaviour in School-aged Children (HBS…

This dataset contains aggregated prevalence estimates regarding cigarette smoking among adolescents in the Czech Republic, derived from three waves of the Health Behaviour in School-aged Children (HBSC) study conducted in 2014, 2018, and 2022. The data represents a total sample of 29,525 respondents (14,761 boys and 14,764 girls) across three target age groups: 11, 13, and 15 years old.